Faculty Profiles - ODA, Masahiro

Presentations -

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Development and future prospects of public AI models using JOI Registry Invited

Masahiro Oda

2025.4.19

最新の研究動向2024 画像セグメンテーションとMICCAI総括 Invited

小田昌宏, 古川亮, 森　健策

電子情報通信学会医用画像研究会 2025.3.19

医用画像処理におけるデータと計算環境大規模化に伴う変化 Invited

小田昌宏

令和6年度第6回名古屋大学情報基盤センターコロキウム 2024.12.23 名古屋大学情報基盤センター

眼科AI開発における臨床と情報学の連携 Invited

小田昌宏

第33回日本コンピュータ外科学会大会 2024.11.10

生成AIと基盤モデル開発の動向から見る医用画像処理の今後 Invited

小田昌宏

第3回日本医用画像電子情報・人工知能研究会 2024.10.20

Research on reliability improvement of deep learning-based medical image processing

Masahiro Oda

2024.7.11

手術支援AI開発に資する医用画像処理 Invited

小田昌宏

第124回日本外科学会定期学術集会 2024.4.20 一般社団法人日本外科学会

眼底画像からの性別推定AIモデルの使用法 Invited

小田昌宏

JOIR第2回データ利活用セミナー 2024.3.21 一般社団法人 Japan Ocular Imaging Registry

Latest Research Trends 2023: Image Segmentation and General Overview of MICCAI Invited

Masahiro Oda, Itaru Otomaru, Ryo Furukawa, Kensaku Mori

2024.3.3

Impact of Generative AI in Medical Image Processing Invited International conference

Masahiro Oda

The Twelfth International Workshop on Image Media Quality and its Applications (IMQA 2024) 2024.2.28

上級演題⑥ どうする研究費獲得：継続的な研究費獲得のための考え方 Invited

小田昌宏

第32回日本コンピュータ外科学会大会 2023.12.2 日本コンピュータ外科学

生成AIがもたらす医用画像処理の変革 Invited

小田昌宏

医用画像情報学会令和5年度秋季(第197回)大会 2023.10.7 医用画像情報学会

医療支援における画像処理研究の動向と展望 Invited

小田昌宏

第29回画像センシングシンポジウム 2023.6.15 画像センシング技術研究会

内視鏡画像AIにおける実世界を考慮したデータ生成の必要性 Invited

小田昌宏

次世代内視鏡・医工連携シンポジウム 2023.3.20

Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes International conference

Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

Substantia nigra analysis by tensor decomposition of T2-weighted images for Parkinson’s disease diagnosis International conference

Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

Self-supervised depth estimation with uncertainty-weight joint loss function based on laparoscopic videos International conference

Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

Spatial label smoothing via aleatoric uncertainty for bleeding region segmentation from laparoscopic videos International conference

Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

Effective hyperparameter optimization with proxy data for multi-organ segmentation International coauthorship International conference

Chen Shen, Holger R. Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset International conference

Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation International conference

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hitotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

Taking full advantage of uncertainty estimation: an uncertainty-assisted two-stage pipeline for multi-organ segmentation International conference

Zhou Zheng, Masahiro Oda, Kazunari Misawa, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

Multiclass prediction for improving intestine segmentation on non-fecal-tagged CT volume International conference

Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari,Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

Size-reweighted cascaded fully convolutional network for substantia nigra segmentation from T2 MRI International conference

Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori

SPIE Medical Imaging 2022 On Demand 2022.3.21

深層学習に基づくマウスのクラニアルウィンドウ画像における血管セグメンテーションの考察

呉運恒, 小田昌宏, 林雄一郎, 武部貴則, 森健策

電子情報通信学会医用画像研究会 2022.1.27

胸部CT像からのCOVID-19に関連した所見文の自動生成の検討

岡崎真治, 林雄一郎, 小田昌宏, 橋本正弘, 陣崎雅弘, 明石敏昭, 青木茂樹, 森健策

電子情報通信学会医用画像研究会 2022.1.26

MICCAI 2021参加報告 Invited

伊東隼人, 小田昌宏, 申忱, 大竹義人, 花岡昇平, 諸岡健一, 本谷秀堅, 古川亮, 増谷佳孝, 森健策

電子情報通信学会医用画像研究会 2022.1.26

高精度な大腸ポリープ検出に向けた物体検出モデルの解析

伊東隼人, 三澤将史, 森悠一, 工藤進英, 小田昌宏, 森健策

電子情報通信学会医用画像研究会 2022.1.26

Mechanism Of AIs In COVID-19 CAD And Techniques To Improve AI Performance International conference

Masahiro Oda, Yuichiro Hayashi, Zheng Tong, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori, Masahiro Hashimoto, Hiroshi Natori

RSNA 2021 2021.11.28

Micro CT Assisted Cross-Modality Super-Resolution Towwrd Observing Micrometer-scale Anatomical Structure From Clinical CT tilizing AI International conference

Tong Zheng, Hirohisa Oda, Yuichiro Hyashi, Masahiro Oda, Shota Nakamura, Hiroshi Natori, HIrotsugu Takabetake, Masaki Mori, Kensaku Mori

RSNA 2021 2021.11.28

How Does AI Reconstruct 3D Intestinal Structures of Ileus and Intestinal Obstruction Cases From 3D CT? - Toward AI-based Emergency Diagnostic Assistance of Intestial Diseases International conference

Hirohisa Oda, Yuichiro Hyashi, Masahiro Oda, Akinari Hinoki, HIroo Uchida, Kensaku Mori, Tkayuki Kitasaka, Aitaro Takimoto, Kojiro Suzuki

RSNA 2021 2021.11.28

自己教師あり学習による腹腔鏡動画像の手術器具セグメンテーション

丘　傑，林　雄一郎，小澤卓也，小田昌宏, 北坂孝幸，三澤一成, 竹下修由, 伊藤雅昭,　森　健策

第30回日本コンピュータ外科学会大会 2021.11.21

大規模腹腔鏡動画像データベース構築に向けたアノテーションツール開発

伊東隼人，潘　冬平，小澤卓也，小田昌宏, 竹下修由, 伊藤雅昭, 森　健策

第30回日本コンピュータ外科学会大会 2021.11.22

距離変換と管状構造フィルタによる肺マイクロCT画像からの細気管支・肺胞管抽出手法の検討

椎名　健, 小田紘久, 鄭　通, 中村彰太, 林　雄一郎, 小田昌宏, 森　健策

第30回日本コンピュータ外科学会大会 2021.11.21

CT像の非等方性を考慮した3D CNNによるCOVID‒19症例の自動分類手法

小田昌宏, 鄭通, 林　雄一郎, 大竹義人, 橋本正弘, 明石敏明, 青木茂樹, 森　健策

第30回日本コンピュータ外科学会大会 2021.11.22

腹腔鏡下胃切除術支援に向けた腹腔鏡映像からの左胃静脈領域自動抽出に関する検討

榎本圭吾，林　雄一郎，北坂孝幸，小田昌宏, 伊藤雅昭, 竹下修由, 三澤一成, 森　健策

第30回日本コンピュータ外科学会大会 2021.11.23

複数の畳み込み範囲を持つグラフニューラルネットワークによる血管名自動命名手法の検討

出口智也，林　雄一郎，北坂孝幸，小田昌宏, 三澤一成，森　健策

第30回日本コンピュータ外科学会大会 2021.11.23

小田紘久，林　雄一郎，北坂孝幸，滝本愛太朗，檜　顕成，内田広夫，鈴木耕次郎，小田昌宏, 森　健策

CT像からの腸管領域抽出改善に関する基礎的検討

第30回日本コンピュータ外科学会大会 2021.11.23

Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation International conference

Zhou Zheng, Masahiro Oda, Kensaku Mori

IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2021.10.17

胸部CT像からのCOVID-19症例の自動分類手法

小田　昌宏, 鄭通, 林雄一郎, 大竹　義人, 橋本正弘, 明石敏昭, 森健策

第40回日本医用画像工学会大会 2021.10.13

Self-attention Class Balanced DenseNet_LSTM framework for Subarachnoid Hemorrhage CT image Classification on Extremely Imbalanced Brain CT Dataset

Zhongyang LU，Masahiro ODA，Yuichiro HAYASHI，Tao HU，Hayato ITOH，Takeyuki WATADANI，Osamu ABE, Masahiro HASHIMOTO, Masahiro JINZAKI, Kensaku MORI

2021.10.13

腸閉塞・イレウスの病変箇所特定における診断支援システムの精度評価

小田紘久, 林雄一郎, 北坂孝幸, 玉田雄大, 滝本愛太朗, 檜顕成, 内田広夫, 鈴木耕次郎, 小田昌宏, 森健策

第40回日本医用画像工学会大会 2021.10.13

Improving Classification Accuracy of Hands' Bone Marrow Edema by Transfer Learning

Dongping PAN, Masahiro ODA, Kou KATAYAMA, Takanobu Okubo, Kensaku MORI

2021.10.13

Transformer ベースのモデルを用いた肺領域における所見文からの疾患名抽出

岡崎真治, 林雄一郎, 小田昌宏, 橋本正弘, 陣崎雅弘, 明石敏昭, 青木茂樹, 森健策

第40回日本医用画像工学会大会 2021.10.14

Synthesized Perforation Detection from Endoscopy Videos Using Model Training with Synthesized Images by GAN

Kai Jiang, Hayato Itoh, Masahiro Oda, Taishi Okumura, Yuichi Mori, Masashi Misawa, Takemasa Hayashi, Shin-Ei Kudo, Kensaku Mori

2021.10.14

Vascular Structure Segmentation in Stereomicroscope Image

Yunheng WU, Masahiro ODA, Yuichiro HAYASHI, Takanori TAKEBE, Kensaku MORI

2021.10.14

VR Organ Puzzle: A Virtual Reality Application for the Education of Human Anatomy

Siqi LI, Yuichiro HAYASHI，Michitaka FUJIWARA, Masahiro ODA, Kensaku MORI

2021.10.15

Non-contrast to Artery Contrast CT Translation Via Representation-Aligned Generative Model

Tao HU, Masahiro ODA, Yuichiro HAYASHI, Zhongyang LU, Toshiaki AKASHI, Shigeki AOKI, Kensaku MORI

2021.10.15

Clinical CT Super-resolution Utilizing Registered Clinical – Micro CT Database

Tong ZHENG, Hirohisa ODA, Yuichiro HAYASHI, Shota NAKAMURA, Masaki MORI, Hirotsugu TAKABATAKE, Hiroshi NATORI, Masahiro ODA, Kensaku MORI

2021.10.15

距離マップを利用した肺マイクロ CT 像からの肺胞抽出

椎名健, 小田紘久, 鄭通, 中村彰太, 林雄一郎, 小田昌宏, 森健策

第40回日本医用画像工学会大会 2021.10.15

ピットパターン特徴量の解析に向けた超拡大内視鏡画像の再構成法に関する初期的検討

伊東隼人, 小田昌宏, 森悠一, 三澤将史, 工藤進英, 森健策

第40回日本医用画像工学会大会 2021.10.14

深層学習とディジタルファントムを用いた骨陰影低減技術の開発

五島風汰, 田中利恵, 小田昌宏, 森健策, 高田宗尚, 田村昌也, 松本勲

第40回日本医用画像工学会大会 2021.10.14

3D Kidney Tumor Semantic Segmentation using Cascaded Convolutional Networks

Wuyang Zhao，Chen Shen，Masahiro Oda, Yuichiro Hayashi，Naoki Higashida，Msahiro Hashimoto，Masahiro Jinzaki, Kensaku Mori

2021.10.14

Attention機構を導入したグラフニューラルネットワークによる腹部動脈血管名自動対応付け

出口智也, 林雄一郎, 北坂孝幸, 小田昌宏, 三澤一成, 森健策

第40回日本医用画像工学会大会 2021.10.14

深度情報を利用したFCNによる腹腔鏡映像からの血管領域自動抽出の検討

榎本圭吾, 林雄一郎, 北坂孝幸, 小田昌宏, 伊藤雅昭, 竹下修由, 三澤一成, 森健策

第40回日本医用画像工学会大会 2021.10.14

Carotid Artery Vessel Wall Segmentation Challenge Report,'' Carotid Artery Vessel Wall Segmentation Challenge International conference

Ruiyun Zhu, Masahiro Oda, Yuichiro Hayashi, Hideki Ota,Hitomi Anzai, Makoto Ohta, Takanobu Yagi, Masaaki Shojima, Soichiro Fujimura, Kensaku Mori

SMRA 2021 and MICCAI 2021 2021.10.1

Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset International conference

Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masahiro Oda, Kensaku Mori

International Workshop on Simulation and Synthesis in Medical Imaging SASHIMI 2021 2021.9.27

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation International coauthorship International conference

Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori

CLIP2021 2021.9.27

Self-supervised Cascaded Multi-task Learning on Laparoscopic Videos for Depth Estimation in Robotic-assisted Surgery International conference

Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

IROS2021 Workshop 2021.9.27

Spatially-variant Biases Considered Self-supervised Depth Estimation Based on Laparoscopic Videos International conference

Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0 2021.9.27

Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation International conference

Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0 2021.9.27

Uncertainty Meets 3D-Spatial Feature in Colonoscopic Polyp-Size Determination International conference

Hayato Itoh, Masahiro Oda, Kai Jiang, Yuichi Mori, Masashi Misawa, Shin-Ei Kudo, Kenichiro Imai, Sayo Itoh, Kinichi Hotta, Kensaku Mori

Joint MICCAI workshop 2021, AE-CAI/CARE/OR2.0 2021.9.27

Intestine segmentation with small computational cost for diagnosis assistance of ileus and intestinal obstruction International conference

Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda, Kensaku Mori

CLIP2021 2021.9.27

COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty International conference

Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

CLIP2021 2021.9.27

Attention-guided pancreatic duct segmentation from abdominal CT volumes International coauthorship International conference

Chen Shen, Holger Roth, Yuichiro Hayashi, Masahiro Oda, Takaaki Miyamoto, Gen Sato, Kensaku Mori

CLIP2021 2021.9.27

Micro-CT-assisted cross-modality super-resolution of clinical CT: utilization of synthesized training dataset International conference

T. Zheng, H. Oda, S. Nakamura, M. Mori, H. Takabatake, H. Natori, M. Oda, K. Mori

CARS 2021 2021.6.21

Spatial Information Considered Module based on Attention Mechanism for Self-Supervised Depth Estimation from Laparoscopic Image Pairs International conference

W. Li, Y. Hayashi, M. Oda, T. Kitasaka, K. Misawa, K. Mori

CARS 2021 2021.6.23

Real-time deformation simulation of hollow organs based on XPBD with small time steps and air mesh for surgical simulation International conference

S. Li, Y. Hayashi, M. Oda, K. Misawa, K. Mori

CARS 2021 2021.6.23

Intestine segmentation combining Watershed transformation and machine learning-based distance map estimation International conference

H. Oda, Y. Hayashi, T. Kitasaka, Y. Tamada, A. Takimoto, A. Hinoki, H. Uchida, K. Suzuki, H. Itoh, M. Oda, K. Mori

CARS 2021 2021.6.24

Blood vessel regions segmentation from laparoscopic videos using fully convolutional networks with multi field of view input International conference

K. Mori, S. Morimitsu, S. Yamamoto, T. Ozawa, T. Kitasaka, Y. Hayashi, M. Oda, M. Ito, N. Takeshita, K. Misawa

CARS 2021 2021.6.23

Binary Polyp-Size Classification based on Deep-Learning Estimation of Spatial Information International conference

H. Itoh, M. Oda, K. Jiang, Y. Mori, M. Misawa, S.- E. Kudo, K. Imai, S. Ito, K. Hotta, K. Mori

CARS 2021 2021.6.22

Experimental evaluation of loss functions in YOLO-v3 training for the perforation detection and localization in colonoscopic videos International conference

K. Jiang, H. Itoh, M. Oda, T. Okumura, Y. Mori, M. Misawa, T. Hayashi, S. E. Kudo, K. Mori

CARS 2021 2021.6.22

Aorta-aware GAN for non-contrast to artery contrasted CT translation and its application to abdominal aortic aneurysm detection International conference

T. Hu, M. Oda, Y. Hayashi, Z. Lu, K. K. Kumamaru, T. Akashi, S. Aoki, K. Mori

CARS 2021 2021.6.22

Depth-based branching level estimation for bronchoscopic navigation International conference

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori , Kensaku Mori

CARS 2021 2021.6.21

COVID-19 lung infection and normal region segmentation from CT volumes using FCN with local and global spatial feature encoder International conference

M. Oda, Y. Hayashi, Y. Otake, M. Hashimoto, T. Akashi, K. Mori

CARS 2021 2021.6.21

A cascaded fully convolutional network framework for dilated pancreatic duct segmentation International coauthorship International conference

C. Shen, H. R. Roth, Y. Hayashi, M. Oda, T. Miyamoto, G. Sato, K. Mori

CARS 2021 2021.6.21

深層学習を用いた医用画像処理と画像を超えた応用 Invited

小田昌宏

第60回日本生体医工学会大会 2021.6.17

深層学習に基づく腎癌領域の自動抽出手法の検討

趙武楊, 申忱, 小田昌宏, 林雄一郎, 東田直樹, 橋本正弘, 陣崎雅弘, 森健策

電子情報通信学会医用画像研究会 2021.5.17

Watershedを用いた肺マイクロCT像からの肺胞セグメンテーション

椎名健, 小田紘久, 鄭通, 中村彰太, 小田昌宏, 森健策

電子情報通信学会医用画像研究会 2021.5.17

Spectral-based Convolutional Graph Neural Networksを用いた腹部動脈領域の血管名自動命名に関する研究

日比裕太, 林雄一郎, 北坂孝幸, 伊東隼人, 小田昌宏, 三澤一成, 森健策

電子情報通信学会医用画像研究会 2021.3.17

MICCAI 2020参加報告 Invited

斉藤篤, 小田昌宏, 大竹義人, 花岡昇平, 諸岡健一, 宮内翔子, 増谷佳孝, 申忱, 森健策

電子情報通信学会医用画像研究会 2021.3.17

カスケードCNNによる腹腔鏡動画からの出血領域自動抽出

山本翔太, 林雄一郎, 盛満慎太郎, 北坂孝幸, 小田昌宏, 竹下修由, 伊藤雅昭, 森健策

電子情報通信学会医用画像研究会 2021.3.17

Contrastive Learningを用いた肺野CT画像からCOVID-19の自動判定

加藤聡太, 堀田一弘, 小田昌宏, 森健策, 大竹義人, 橋本正弘, 明石敏昭

電子情報通信学会医用画像研究会 2021.3.16

AIによる画像解析の基礎と眼科画像解析への応用 Invited

小田昌宏

第85回筑波TOC・第23回茨城県眼科医会フォーラム 2021.2.24

Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning International conference

Tong Zheng, Masahiro Oda, Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

SPIE Medical Imaging 2021 2021.2.15 SPIE

Context encoder guided self-supervised siamese depth estimation based on stereo laparoscopic images International conference

Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

SPIE Medical Imaging 2021 2021.2.15 SPIE

Dense-layerbased YOLO-v3 for detection and localization of colon perforations International conference

Kai Jiang, Hayato Itoh, Masahiro Oda, Taishi Okumura, Yuichi Mori, Masashi Misawa, Takemasa Hayashi, Shin-Ei Kudo, Kensaku Mori

SPIE Medical Imaging 2021 2021.2.15 SPIE

Extremely imbalanced subarachnoid hemorrhage detection based on enseNet-LSTM network with class-balanced loss and transfer learning International conference

Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Tao Hu, Hayato Itoh, Takeyuki Watadani, Osamu Abe, Masahiro Hashimoto, Masahiro Jinzaki, Kensaku Mori

SPIE Medical Imaging 2021 2021.2.15 SPIE

Single-shot three-dimensional reconstruction for colonoscopic image analysis International conference

Hayato Itoh, Masahiro Oda, Yuichi Mori, Masashi Misawa, Shin-ei Kudo, Kinnichi Hotta, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

SPIE Medical Imaging 2021 2021.2.15 SPIE

Bronchial orifice segmentation on bronchoscopic video frames based on generative adversarial depth estimation International conference

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori

SPIE Medical Imaging 2021 2021.2.15 SPIE

Intestinal region reconstruction of ileus cases from 3D CT images based on graphical representation and its visualization International conference

Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Yudai Tamada, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

SPIE Medical Imaging 2021 2021.2.15 SPIE

Lung infection and normal region segmentation from CT volumes of COVID-19 cases International conference

Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Kensaku Mori

SPIE Medical Imaging 2021 2021.2.15 SPIE

Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks International conference

Yuichiro Hayashi, Masahiro Oda, Chen Shen, Masahiro Hashimoto, Yoshito Otake, Toshiaki Akashi, Kensaku Mori

SPIE Medical Imaging 2021 2021.2.15 SPIE

Unpaired Medical Image Translation between Portal-venous Phase and Non-contrast CT Volumes for Multi-organ Segmentation International conference

Chen Shen, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa and Kensaku Mori

IFMIA 2021 2021.1.26

放射線診断における研究トピックスと臨床応用～AI応用の基礎から最前線まで～ Invited

小田昌宏

日本医学物理学会教育セミナー 2020.12.19

Super Resolution of Chest CT Images Using CycleGAN and Micro CT Image Database International conference

Tong Zheng, Hirohisa Oda, Masahiro Oda, Shota Nakamura, Hiroshi Natori, Hirotsugu Takabatake, Masaki Mori, Kensaku Mori

RSNA 2020 2020.11.29

Why AI Misses Small Organs and How to Improve Their Recognition Performances International conference

Masahiro Oda, Kanako K. Kumamaru, Shigeki Aoki, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori, Masaki Mori

RSNA 2020 2020.11.29

How Fully Convolutional Networks Trained From Small Amount of Data Using Fine-Tuning in Multi-Organ Segmentation From CT Images? International conference

Yuichiro Hayashi, Chen Shen, Masahiro Oda, Kazunari Misawa, Kensaku Mori

RSNA 2020 2020.11.29

Wavelet-Based Fully Convolution Network for Estimating Artery Contrast CT Images From Non-Contrast CT Images International conference

Tao Hu, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori

RSNA 2020 2020.11.29

How Does Graphical Convolutional Neural Network Work for Anatomical Labeling of Blood Vessels Extracted From CT Images? International conference

Kensaku Mori, Yuta Hibi, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Hayato Itoh

RSNA 2020 2020.11.29

How Spatial Information Embedding Improves Multi-Organ Segmentation From Abdominal CT Images Based on Fully Convolutional Networks International conference

Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

RSNA 2020 2020.11.29

腸閉塞およびイレウスの診断支援システムにおける距離マップの導入

小田紘久, 林雄一郎, 北坂孝幸，玉田雄大,滝本愛太朗，檜顕成, 内田広夫，鈴木耕次郎, 伊東隼人，小田昌宏，森　健策

第29回日本コンピュータ外科学会大会 2020.11.22 日本コンピュータ外科学会

シンポジウム③ AI-CASの先に来るもの～現在そしてその先：日常に溶け込む診断と治療 Invited

小田昌宏

第29回日本コンピュータ外科学会大会 2020.11.23 日本コンピュータ外科学会

AI入門ワークショップ：AIハンズオンセミナー Invited

小田昌宏

第29回日本コンピュータ外科学会大会 2020.11.23 日本コンピュータ外科学会

Preliminary study of Loss-Function Design for Detection and Localization of Perforations with YOLO-v3 in Colonoscopic Images

凱蒋, 伊東隼人，小田昌宏，奥村大志，森悠一，三澤将史，林武雅，工藤進英，森健策

第29回日本コンピュータ外科学会大会 2020.11.23 日本コンピュータ外科学会

SUN database : 大腸ポリープ自動検出器の精度評価に向けた試験用画像

伊東隼人, 三澤将史，森悠一，小田　昌宏，工藤　進英, 森健策

第29回日本コンピュータ外科学会大会 2020.11.23 日本コンピュータ外科学会

気管支鏡ナビゲーションのための敵対的生成による内視鏡画像深度推定の評価

王成, 小田昌宏，林雄一郎，北坂孝幸，本間裕敏，高畠博嗣，森雅樹，名取博, 森　健策

第29回日本コンピュータ外科学会大会 2020.11.23 日本コンピュータ外科学会

腹腔鏡動画像用オンラインアノテーションツールの開発

屠芸豪, 伊東隼人，小澤卓也，小田昌宏, 竹下修由，伊藤雅昭，森健策

第29回日本コンピュータ外科学会大会 2020.11.22 日本コンピュータ外科学会

深層学習によるMRI画像からの神経鞘腫の自動位置検出

小田昌宏, 伊藤定之, 今釜史郎, 森健策

第29回日本コンピュータ外科学会大会 2020.11.22 日本コンピュータ外科学会

表現学習に基づくクラスタリングによるCOVID-19 肺CT像からの病変部抽出手法

鄭通, 小田昌宏, 王成龍，林　雄一郎，橋本正弘, 大竹義人，明石敏昭, 森　健策

第29回日本コンピュータ外科学会大会 2020.11.22 日本コンピュータ外科学会

Dilated convolution を用いた腹腔鏡動画像からの血管領域抽出における空間情報利用に関する検討

盛満慎太郎, 山本翔太, 小澤卓也, 北坂孝幸, 林　雄一郎, 小田昌宏, 伊藤雅昭, 竹下修由，三澤一成, 森　健策

第29回日本コンピュータ外科学会大会 2020.11.22 日本コンピュータ外科学会

局所情報に注目した腹腔鏡動画像からの出血領域抽出

山本翔太, 盛満慎太郎，林　雄一郎，北坂　孝幸，小田　昌宏，伊藤　雅昭，竹下　修由,　森　健策

第29回日本コンピュータ外科学会大会 2020.11.22 日本コンピュータ外科学会

GANを用いたAIの仕組みと応用 Invited

小田昌宏

第5回Advanced Medical Imaging研究会 2020.11.22

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning International conference

Chen Shen, Pochuan Wang, Holger R Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Wei-Chih Liao, Kao-Lang Liu, Weichung Wang, Kensaku Mori

1st MICCAI Workshop on Distributed And Collaborative Learning 2020.10.4

Synthetic laparoscopic video generation for machine learning-based surgical International conference

Yuichiro Hayashi, Takuya Ozawa, Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito , Kensaku Mori

Joint MICCAI workshop 2020, AE-CAI/CARE/OR2.0 2020.10.4

ハンズオンセミナー3：外科領域における医療用画像の深層学習 Invited

小田昌宏

第14回日本CAOS研究会／第26回日本最小侵襲整形外科学会 2020.9.22

ITテクノロジー2：外科支援におけるAIの現在とこれから Invited

小田昌宏

第14回日本CAOS研究会／第26回日本最小侵襲整形外科学会 2020.9.22

Preliminary Study of Perforation Detection and Localization for Colonoscopy Video

Kai Jiang, Hayato Itoh, Masahiro Oda, Taishi Okumura, Yuichi Mori, Masashi Misawa, Takemasa Hayashi, Shin-Ei Kudo, Kensaku Mori

2020.9.17

JAMITハンズオンセミナー Invited

原武史, 李鎔範, 中田典生, 小田昌宏

第39回日本医用画像工学会大会 2020.9.17 日本医用画像工学会

腹腔鏡手術動画像データベース構築に向けたリモートアノテーションツールのプロトタイプ開発

屠芸豪, 伊東隼人, 小澤卓也, 小田昌宏, 竹下修由, 伊藤雅昭, 森健策

第39回日本医用画像工学会大会 2020.9.19 日本医用画像工学会

Spatial Information Considered Self-Supervised Depth Estimation Based on Image Pairs from Stereo Laparoscope

Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

2020.9.19

大腸内視鏡のための教師なし深度画像推定法における補助タスク検討

伊東隼人, 小田昌宏, 森悠一, 三澤将史, 工藤進英, 堀田欣一, 高畠博嗣, 森雅樹, 名取博, 森健策

第39回日本医用画像工学会大会 2020.9.19 日本医用画像工学会

Preliminary Study on Classification of Hands' Bone Marrow Edema Using X-ray Images

Dongping Pan, Masahiro Oda, Kou Katayama, Takanobu Okubo, Kensaku Mori

2020.9.19

Unsupervised 3D Super-resolution of Clinical CT Volumes by Utilizing Multi-axis 2D Super-resolution

Tong Zheng, Hirohisa Oda, Masahiro Oda, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

2020.9.18

Cross-phase CT Image Registration Using Convolutional Neural Network

Tao Hu, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Kanako Kunishishima Kumamaru, Shigeki Aoki, Kensaku Mori

2020.9.18

広範囲の隣接関係を考慮したグラフニューラルネットワークを用いた腹部動脈血管名自動命名の検討

日比裕太, 林雄一郎, 北坂孝幸, 伊東隼人, 小田昌宏, 三澤一成, 森健策

第39回日本医用画像工学会大会 2020.9.18 日本医用画像工学会

大域及び局所情報を用いた深層学習による出血領域自動セグメンテーション

山本翔太, 盛満慎太郎, 林雄一郎, 北坂孝幸, 小田昌宏, 伊藤雅昭, 竹下修由, 森健策

第39回日本医用画像工学会大会 2020.9.18 日本医用画像工学会

Dilated convolution を用いた FCN による腹腔鏡動画像からの血管領域抽出

盛満慎太郎, 山本翔太, 北坂孝幸, 林雄一郎, 小田昌宏, 竹下修由, 伊藤雅昭, 三澤一成, 森健策

第39回日本医用画像工学会大会 2020.9.18 日本医用画像工学会

Preliminary Study on Classification of Interstitial Cystitis Using Cystoscopy Images

Tao Chu, Masahiro Oda, Akira Furuta, Tokunori Yamamoto, Kensaku Mori

2020.9.17

COVID-19 症例の定量評価のためのCT 像からの肺野自動セグメンテーション

小田昌宏, 林雄一郎, 大竹義人, 橋本正弘, 明石敏昭, 森健策

第39回日本医用画像工学会大会 2020.9.17 日本医用画像工学会

A study on Subarachnoid Hemorrhage automatic detection utilized Transfer Learning on extremely imbalanced brain CT datasets

Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Tao Hu, Hayato Ito，Takeyuki Watadani，Osamu Abe，Masahiro Hashimoto，Masahiro Jinzaki，Kensaku Mori

2020.9.17

読影レポート解析を利用した医用画像データベースからのアノテーション付きデータセット作成に関する初期検討

林雄一郎, 鈴村悠輝, 岡崎真治, 小田昌宏, 森健策

第39回日本医用画像工学会大会 2020.9.17 日本医用画像工学会

An Application of Multi-organ Segmentation from Thick-slice Abdominal CT Volumes using Transfer Learning International conference

C. Shen, M. Oda, H. Roth, H. Oda, Y. Hayashi, K. Misawa, K. Mori

CARS 2020 2020.6.23

A visual SLAM based bronchoscope tracking scheme for bronchoscopic navigation International conference

C. Wang, M. Oda, Y. Hayashi, B. Villard, T. Kitasaka, H. Takabatake, M. Mori, H. Honma, H. Natori, K. Mori

34th International Congress and Exhibition on Computer Assisted Radiology (CAR) 2020.6.23

Detecting ganglion cells on virtual slide images: Macroscopic masking by superpixel International conference

H. Oda, Y. Tamada, K. Nishio, T. Kitasaka, H. Amano, K. Chiba, A. Hinoki, H. Uchida, M. Oda, K. Mori

CARS 2020 2020.6.23

Blood vessel segmentation from laparoscopic video using ConvLSTM U-Net International conference

S. Morimitsu, S. Yamamoto, T. Ozawa, T. Kitasaka, Y. Hayashi, M. Oda, M. Ito, N. Takeshita, K. Misawa, K. Mori

CARS 2020 2020.6.23

SR-CycleGAN V2: CycleGAN-based unsupervised superresolution with pixel-shuffling International conference

T. Zheng, H. Oda, T. Moriya, T. Sugino, S. Nakamura, M. Oda, M. Mori, H. Takabatake, H. Natori, K. Mori

CARS 2020 2020.6.23

TinyLoss: loss function for tiny image difference evaluation and its application to unpaired non-contrast to contrast abdominal CT estimation International conference

Masahiro Oda, T. Hu, K. K. Kumamaru, T. Akashi, S. Aoki, K. Mori

CARS 2020 2020.6.23

Virtual cleansing by unpaired image translation of intestines for detecting obstruction International conference

K. Nishio, H. Oda, T. Kitasaka, Y. Tamada, H. Amano, A. Takimoto, K. Chiba, Y. Hayashi, H. Itoh, M. Oda, A. Hinoki, H. Uchida, K. Mori

CARS 2020 2020.6.23

Development of a robust endocytoscopic-image classification method towards the construction of practical CAD system in endocytoscopy - from the viewpoint of generalisation ability for non-specific hospital diagnosis International conference

H. Itoh, Y. Mori, M. Misawa, S. –E. Kudo, K. Hotta, K. Ohtsuka, S. Saito, Y. Saito, H. Ikematsu, Y. Hayashi, M. Oda, K. Mori

22nd International Conference on Computer-Aided Diagnosis and Artificial Intelligence (CAD-AI) 2020.6.23

Symposium6, Japan Medical Imaging Database: AI image analysis based on massive data in J-MID Invited

小田昌宏

第79回日本医学放射線学会総会web 2020.5.15 日本医学放射線学会

Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique International conference

Masahiro Oda, Naoyuki Maeda, Takefumi Yamaguchi, Hideki Fukuoka, Yuta Ueno, Kensaku Mori

Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2020.2.17 SPIE

Organ segmentation from full-size CT images using memory-efficient FCN International conference

Chenglong Wang, Masahiro Oda, Kensaku Mori

SPIE Medical Imaging 2020 2020.2.16

Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization International conference

Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

SPIE Medical Imaging 2020 2020.2.19

Improved visual SLAM for bronchoscope tracking and registration with pre-operative CT images International conference

Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

SPIE Medical Imaging 2020 2020.2.18

Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset International conference

Yuichiro Hayashi, Chen Shen, Holger R. Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori

SPIE Medical Imaging 2020 2020.2.17

Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysis International conference

Hayato Itoh, Zhongyang Lu, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori

SPIE Medical Imaging 2020 2020.2.17

Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images International conference

Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Hizuru Amano, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

SPIE Medical Imaging 2020 2020.2.17

Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database International conference

Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

SPIE Medical Imaging 2020 2020.2.17

深層学習時代の医用画像処理におけるデータと計算環境 Invited

小田昌宏

PCCC19「来たるべきSociety 5.0時代に向けて」（第19回PCクラスタシンポジウム） 2019.12.13

Generative Adversarial Networks Showcase: Their Mechanisms and Radiological Applications International conference

Masahiro Oda, Hirohisa Oda, Kanako K. Kumamaru, Shigeki Aoki, Hiroshi Natori, Kensaku Mori, Masaki Mori, Hirotsugu Takabatake

Radiological Society of North America (RSNA) 2019

Realistic virtual endoscopic image generation method using image domain translation

Masahiro Oda,Kiyohito Tanaka,Hirotsugu Takabatake,Masaki Mori, Hiroshi Natori,Kensaku Mori

The 28th Annual Congress of Japan Society of Computer Aided Surgery

Event date： 2019.11

Language：Japanese Presentation type：Oral presentation (general)

Venue：University of Tokyo Country：Japan

We propose a realistic virtual endoscopic image generation method for endoscope simulators. Endoscope simulators are used to train endoscopists. However, less realistic visualization of simulators reduces effect of training. Main differences of virtual endoscopic images generated by simulators and real endoscopic images are textures and light reflections on the surface of organs. The differences should be reduced to improve reality of virtual images. This paper proposes a method to improve reality of virtual endoscopic images using a virtual to real endoscopic image domain translation technique. In the image domain translation, the structure of fully convolutional network (FCN) that performs image translation has relation to the reality of translated images. We experimentally confirmed reality of translated images using three different FCNs. From the result, use of larger numbers of kernels and layers resulted in generation of realistic images.

深層学習を用いた医用画像処理研究の最前線 Invited

小田昌宏

第47回日本放射線技術学会秋季学術大会（第86回画像部会教育講演）

JAMITハンズオンセミナー

原武史, 中田典生, 小田昌宏, 福岡大輔, 田中理恵, 中山良平

第38回日本医用画像工学会大会

Estimation of Contrasted Abdominal CT Volume from Non-contrasted CT Volume using Generative Adversarial Frameworks

Masahiro Oda, Kanako Kumamaru, Shigeki Aoki, Kensaku Mori

The 38th JAMIT Annual Meeting

Event date： 2019.7

Language：Japanese Presentation type：Poster presentation

Venue：Nara Kasugano International Forum Country：Japan

We propose an estimation method of an abdominal contrasted CT volume from a non-contrasted CT volume. In diagnosis and treatment, contrasted CT volumes are taken to confirm anatomical structure and abnormal regions related to the blood vessels. However, administration of contrast agents causes dyspnea and cardiac arrest in some cases. In this paper, we propose an estimation method of contrasted images from non-contrasted images in abdominal CT volumes. As the estimation method, we employ an image regression model using a fully convolutional network (FCN). We trained the FCN in a direct-training and indirect-trainings using generative adversarial frameworks (pix2pix, CycleGAN). In our experiments using abdominal CT volumes, contrasted CT-like volumes having good-quality were generated when we used the CycleGAN.

Non-contrast to contrasted abdominal CT volume regression using fully convolutional network International conference

Masahiro Oda, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2019

AI and Machine Learning in Medical Image Engineering Invited

Masahiro Oda

The 63rd Annual Conference of the Institute of Systems, Control and Information Engineers (SCI'19)

Event date： 2019.5

Language：Japanese Presentation type：Oral presentation (invited, special)

Venue：Central Electric Club Country：Japan

In the medical image processing field, utilization of AI and machine learning techniques are getting popular. Among AI and machine learning techniques, the deep learning significantly contributes to improve performances of medical image processing methods. This paper introduces some automated segmentation and lesion detection techniques including conventional and deep learning-based methods. Improvements of their performances obtained by using deep learning techniques are also presented. Additionally, two problems that medical image processing researches who use AI and machine learning techniques facing are introduced.

Development of AI assisted diagnosis and treatment powered by integrated use of various data Invited

Masahiro Oda

The 92th Annual Meeting of the Japan Orthopaedic Association

AIプログラミング基礎編，AIプログラミング実践編 Invited

小田昌宏

えひめAI・IoT研究会技術セミナー

AIを活用した画像処理について Invited

小田昌宏

えひめAI・IoT研究会技術セミナー

Colonoscope tracking method based on shape estimation network International conference

Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Yoshiki Hirooka, Nassir Navab, Kensaku Mori

SPIE Medical Imaging 2019

Event date： 2019.2

Language：English Presentation type：Oral presentation (general)

Venue：San Diego, California, USA Country：United States

This paper presents a colonoscope tracking method utilizing a colon shape estimation method. CT colonography is used as a less-invasive colon diagnosis method. If colonic polyps or early-stage cancers are found, they are removed in a colonoscopic examination. In the colonoscopic examination, understanding where the colonoscope running in the colon is difficult. A colonoscope navigation system is necessary to reduce overlooking of polyps. We propose a colonoscope tracking method for navigation systems. Previous colonoscope tracking methods caused large tracking errors because they do not consider deformations of the colon during colonoscope insertions. We utilize the shape estimation network (SEN), which estimates deformed colon shape during colonoscope insertions. The SEN is a neural network containing long short-term memory (LSTM) layer. To perform colon shape estimation suitable to the real clinical situation, we trained the SEN using data obtained during colonoscope operations of physicians. The proposed tracking method performs mapping of the colonoscope tip position to a position in the colon using estimation results of the SEN. We evaluated the proposed method in a phantom study. We conrmed that tracking errors of the proposed method was enough small to perform navigation in the ascending, transverse, and descending colons.

DOI： 10.1117/12.2512729

Report on MICCAI 2018

Masahiro Oda, Yoshito Otake, Hayato Itoh, Takaaki Sugino, Atsushi Saito, Ryo Furukawa, Takashi Onishi, Atsushi Imiya, Kensaku Mori

Deep Learning Sample Code Collection for Medical Image Processing: DMED

Masahiro Oda, Takeshi Hara, Kensaku Mori

The 27th Annual Congress of Japan Society of Computer Aided Surgery

Event date： 2018.11

Language：Japanese Presentation type：Poster presentation

Country：Japan

Deep learning techniques are widely used in both of computer aided surgery (CAS) and diagnosis (CAD) fields. Many software to use deep learning are available. However, in the medical assisting research field, we need to implement new deep learning-based methods. It is difficult for researchers who are not specialized in image processing or machine learning. To accelerate use of deep learning for all researchers, we developed the deep learning sample code collection for medical image processing (DMED). DMED enables easy use of key deep learning-based methods including medical image processing. Current DMED includes sample codes for image classification, segmentation, and superresolution. Different from the previous deep learning library such as the NiftyNet and the DLTK, the DMED performs training processes in reasonable processing time without GPU. We expect the DMED accelerates use of deep learning-based image processing methods in the CAS and CAD fields.

Deep learning for medical images in surgical field

Masahiro Oda

The 27th Annual Congress of Japan Society of Computer Aided Surgery

Event date： 2018.11

Language：Japanese Presentation type：Oral presentation (invited, special)

Country：Japan

Deep learning contributes growing of the information processing field. It is used to achieve computer systems having high recognition performances. Traditionally, recognition algorithm was individually developed for each task. In contrast to them, a common model or a framework is applicable to many recognition tasks in the deep learning field. This property contributes acceleration of research and development. In this session, we explain how to perform image processing using deep learning in hands-on style. How to develop and execute basic deep learning-based image processing methods including image classification and segmentation are explained. Programs of these methods will run on attendee's computers. Attendee are requested to install software and download data to their own computers prior to joining the hands-on.

AIによるコンピュータ外科の始め方 - 研究環境構築法 Invited

小田昌宏

第27回日本コンピュータ外科学会大会

Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks International conference

Masahiro Oda, Holger Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori

MICCAI 2018

深層学習を用いた医用画像処理の始め方 Invited

小田昌宏

生体医工学シンポジウム2018

Tutorial of Deep Learning

Masahiro Oda

医用画像における深層学習を利用した研究のはじめかた Invited

小田昌宏

第37回日本医用画像工学大会

Fully convolutional networkを用いた小構造物セグメンテーション方法の検討及び腹部動脈への適用

小田昌宏, Holger R. Roth, 北坂孝幸, 三澤一成, 藤原道隆, 森健策

第37回日本医用画像工学大会（JAMIT2018)

Hands-on Seminar on JAMIT

Norio Nanata, Takeshi Hara, Masahiro Oda, Daisuke Fukuoka

The 37th JAMIT Annual Meeting

Abdominal artery segmentation from CT volumes using fully convolutional network for small artery segmentation International conference

Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2018

機械学習を用いた診断と治療支援 Invited

小田昌宏

第47回日本脊椎脊髄病学会学術集会

Machine learning-based colon deformation estimation method for colonscope tracking International conference

Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori

SPIE Medical Imaging

Machine Learning Techniques for Automated Accurate Organ Segmentation and Their Applications to Diagnosis Assistance International conference

Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori, Michitaka Fujiwara, Daniel Rueckert

RSNA 2017 (Radiological Society of North America)

大腸内視鏡トラッキングのためのregression forestsを用いた大腸変形モデルの開発

小田昌宏，北坂孝幸，古川和宏，宮原良二，廣岡芳樹，後藤秀実，Nassir Navabe, 森健策

第26回日本コンピュータ外科学会大会(JSCAS2017)

AIによるコンピューター手術支援研究の加速 Invited

小田昌宏

第26回日本コンピュータ外科学会大会(JSCAS2017)

3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation International conference

Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Ken'ichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori

MICCAI 2017, 3rd Workshop on Deep Learning in Medical Image Analysis

CT 像から抽出した腹部動脈領域におけるCNN を用いた過検出削減でのパッチ画像生成手法の検討

小田昌宏, 山本徳則, 吉野能, 森健策

第36回日本医用画像工学会大会(JAMIT2017)

False positive reduction of abdominal artery segmentation from CT volumes based on deep convolutional neural networks International conference

Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2017

Endocytoscope image classification using deep convolutional neural networks International conference

Masahiro Oda, Yutaka Hoshiyama, Masashi Misawa, Yuichi Mori, Kenichi Takeda, Sin-ei Kudo, Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2017

大腸変形モデルを用いた大腸内視鏡下治療誘導システムの開発 Invited

小田昌宏

第31回人工知能学会全国大会

Extraction of membrane structure in eyeball from MR volumes International conference

Masahiro Oda, Kin Taichi, Kensaku Mori

SPIE Medical Imaging, 2017

MICCAI 2016参加報告

小田昌宏, 宮内翔子, 諸岡健一, 周向栄, 増谷佳孝, 中口俊哉, 井宮淳, 森健策

電子情報通信学会医用画像研究会

Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation International conference

Masahiro Oda, Natsuki Shimizu, Kenichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, and Kensaku Mori

MICCAI 2016

Segmentation method of abdominal arteries from CT volumes utilizing intensity transition along arteries International conference

Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2016

Position-based adjustment of landmark based correspondence finding in electromagnetic sensor-based colonoscope tracking method International conference

Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, and Kensaku Mori

SPIE Medical Imaging, 2016

磁気式位置センサを用いた大腸内視鏡トラッキング手法の精度解析

小田昌宏, 近藤弘明, 北坂孝幸, 古川和宏, 宮原良二, 廣岡芳樹, 後藤秀美, Nassir Navab, 森健策

第24回日本コンピュータ外科学会大会

Tracking Accuracy Evaluation of Electromagnetic Sensor-based Colonoscope Tracking Method International conference

Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Y. Hirooka, Hidemi Goto, Nassir Navab, and Kensaku Mori

2nd International Workshop on Computer-Assisted and Robotic Endoscopy at MICCAI 2015

局所的濃度値情報を利用したCT像からの血管抽出手法の改善 International conference

小田昌宏, 加賀城充, 山本徳則, 吉野能, 森健策

第34回日本医用画像工学会大会

マイクロCTと3Dプリンタを利用した肺微細構造拡大再現法に関する検討 International conference

小田昌宏, 本間裕敏, 高畠博嗣, 森雅樹, 名取博, 森健策

第34回日本医用画像工学会大会

マイクロCTと3Dプリンタによる肺微細構造拡大再現モデルの作成に関する検討

小田昌宏, 本間裕敏, 高畠博嗣, 森雅樹, 名取博, 森健策

電子情報通信学会医用画像研究会

Size-by-size iterative segmentation method of blood vessels from CT volumes and its application to renal vasculature International conference

Masahiro Oda, Mituru Kagajo, Tokunori Yamamoto, Yasushi Yoshino, and Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2015

反復抽出処理を用いた造影CT像からの血管抽出手法の開発

小田昌宏, 加賀城充, 山本徳則, 吉野能, 森健策

電子情報通信学会医用画像研究会

Connection method of separated luminal regions of intestine from CT volumes International conference

Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Yoshiki Hirooka, Hidemi Goto, and Kensaku Mori

SPIE Medical Imaging 2015

Automated branching pattern report generation for laparoscopic surgery assistance International conference

Masahiro Oda, Tetsuro Matsuzaki, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa and Kensaku Mori

SPIE Medical Imaging 2015

Automated method for reconstructing fragmented luminal regions of intestine International conference

Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Yoshiki Hirooka, Hidemi Goto, and Kensaku Mori

MICCAI 2014 Workshop on Abdominal Imaging: Computational and Clinical Applications

An automated method for connecting separated luminal regions of intestine segmented from CT volumes International conference

Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Yoshiki Hirooka, Hidemi Goto, Kensaku Mori

CARS 2014

Colonoscope navigation system using colonoscope tracking method based on line registration International conference

Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, and Kensaku Mori

SPIE Medical Imaging

Diagnosis and Surgical Assistance by Medical Image Processing International conference

Masahiro Oda

ACPR 2013 Tutorial on Pattern Recognition for Medical Augmented Reality Systems

Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes International conference

Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Gen Iinuma, Kazunari Misawa, Shigeru Nawano, and Kensaku Mori

MICCAI 2013

大腸内視鏡ナビゲーションシステムにおける大腸内視鏡先端位置推定精度評価

小田昌宏, 近藤弘明, 北坂孝幸, 古川和宏, 宮原良二, 廣岡芳樹, 後藤秀実, Nassir Navab, 森健策

第22回日本コンピュータ外科学会大会

展開外力自動決定を用いたCT像からの胃仮想展開生成手法

小田昌宏, 水藤倫彰, 林雄一郎, 北坂孝幸, 古川和宏, 宮原良二, 廣岡芳樹, 後藤秀実, 飯沼元, 三澤一成, 縄野繁, 森健策

第32回日本医用画像工学会大会

Evaluation of automated incision line determination process for unfolded view generation from CT volumes International conference

Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi, Gen Iinuma, Koichi Furukawa, Kazunari Misawa, Shigeru Nawano, Takayuki Kitasaka, and Kensaku Mori

CARS 2013

Colonoscope tracking method based on line registration using CT images and electromagnetic sensors International conference

Masahiro Oda, Burak Acar, Kazuhiro Furukawa, Takayuki Kitasaka, Yasuhito Suenaga, Nassir Navab, and Kensaku Mori

CARS 2013

Supine and prone registration of the colon for CT colonography based on dynamic programming technique International conference

Masahiro Oda, Eiichiro Fukano, Takayuki Kitasaka, Tetsuji Takayama, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Shigeru Nawano, and Kensaku Mori

SPIE Medical Imaging

CAD System for Diagnosis of Stomach Cancer Metastasis Based on Automated Enlarged Lymph Node Detection International conference

Masahiro Oda, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, and Kensaku Mori

Radiological Society of North America

Method for detecting enlarged lymph nodes from 3D abdominal CT images with a multi-shape and multi-scale ellipsoidal structure detection filter International conference

Masahiro Oda, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, and Kensaku Mori

Abdominal Imaging 2012, 4th International Workshop Held in Conjunction with MICCAI 2012

3次元腹部CT像からの腸管潰瘍検出における過検出削減処理の検討

小田昌宏, 朝倉詩穂, 古川和宏, 北坂孝幸, 渡辺修, 安藤貴文, 後藤秀実, 森健策

第31回日本医用画像工学会大会

A gastric lymph node detection method from 3D abdominal CT images using a multi-shape and multi-scale ellipsoidal structure detection filter International conference

Masahiro Oda, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, and Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2012

Automated anatomical labeling method for abdominal arteries extracted from 3D abdominal CT images International conference

Masahiro Oda, Bui Huy Hoang, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori

SPIE Medical Imaging

Evaluation of deformation accuracy of a virtual pneumoperitoneum method based on clinical trials for patient-specific laparoscopic surgery simulator International conference

Masahiro Oda, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

SPIE Medical Imaging

複数形状に対応した楕円体検出フィルタを用いた3次元腹部CT像からのリンパ節検出手法

小田昌宏, 北坂孝幸, 藤原道隆, 三澤一成, 森健策

電子情報通信学会医用画像研究会

CAD System for Crohns Disease with Automated Ulcer Detection International conference

Masahiro Oda, Kazuhiro Furukawa, Takayuki Kitasaka, Osamu Watanabe, Takafumi Ando, Kensaku Mori, Hidemi Goto

Radiological Society of North America

局所濃淡構造解析に基づく楕円体検出フィルタによる腹部CT像からのリンパ節検出手法

小田昌宏, 北坂孝幸, 藤原道隆, 三澤一成, 森健策

第20回日本コンピュータ外科学会大会

Organ segmentation from 3D abdominal CT images based on atlas selection and graph cut International conference

Masahiro Oda, Teruhisa Nakaoka, Takayuki Kitasaka, Kazuhiro Furukawa, Kazunari Misawa, Michitaka Fujiwara, and Kensaku Mori

MICCAI 2011 Workshop: Computational and Clinical Applications in Abdominal Imaging

3次元腹部CT像を用いたクローン病診断支援における潰瘍検出手法の開発

小田昌宏, 古川和宏, 北坂孝幸, 渡辺修, 安藤貴文, 後藤秀実, 森健策

電子情報通信学会医用画像研究会

Crohn's disease CAD sysytem with automated ulcer detection International conference

Masahiro Oda, Kazuhiro Furukawa, Takayuki Kitasaka, Osamu Watanabe, Takafumi Ando, Hidemi Goto, and Kensaku Mori

3rd CADdemo@CARS Demonstration Workshop on Computer-Aided Detection and Diagnosis

Detection of ulcers based on roughness value from fecal tagging CT image International conference

Masahiro Oda, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Hidemi Goto, and Kensaku Mori

CARS

Detection of longitudinal ulcer using roughness value for computer aided diagnosis of Crohn's disease International conference

Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Hidemi Goto, and Kensaku Mori

SPIE Medical Imaging

Development of laparoscopic surgery planning system and its evaluation based on surgery International conference

Masahiro Oda, Kazuhiro Furukawa, Takayuki Kitasaka, Osamu Watanabe, Takafumi Ando, Kensaku Mori, and Hidemi Goto

International Forum on Medical Imaging in Asia

CAD system for inflammatory bowel disease using CT images with automated lesion detection and virtual unfolded views International conference

Radiological Society of North America (RSNA) 2010

Detection of Longitudinal Ulcers Based on Roughness Value from CT Image for Computer Aided Diagnosis and Surgery of Crohn's Disease

Synchronized Display of Virtual Colonoscopic Views in Supine and Prone CT Images International conference

13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2010)

Development of computer-aided diagnosis system for Crohn's disease using virtual unfolded views International conference

Computer Assisted Radiology and Surgery (CARS) 2010

医用画像を用いた大腸がんの計算機支援診断

小田昌宏, 北坂孝幸, 末永康仁, 森健策

画像応用技術専門委員会

CT画像に基づく腹腔鏡手術シミュレータによる手術計画立案支援

小田昌宏, 森浩起, 江種友彦, 北坂孝幸, 三澤一成, 森健策

第4回Open MRI研究会

Development of CAD prototype system for Crohn's disease International conference

SPIE Medical Imaging 2010

Development of computer aided diagnosis system for Crohn's disease based on concave region detection from 3D abdominal CT images

CAD system with synchronized display of supine and prone virtual unfolded views for assisting CT colonograph reading International conference

Radiological Society of North America (RSNA) 2009

A Prototype Development of Computer Aided Diagnosis System using Virtual Unfolded Views for Crohn's Disease

Haustral fold detection method from 3D abdominal CT images based on directional differential filter along colon centerline

Haustral fold detection method for CT colonography based on difference filter along colon centerline International conference

SPIE Medical Imaging 2009

A CT Colonography CAD System Using Digital Bowel Cleansing Free Detection Method of Colonic Polyp from Fecal Tagging CT Images International conference

Radiological Society of North America (RSNA) 2008

Haustral fold detection method based on local intensity structure analysis from 3D abdominal CT images

Haustral fold detection from 3D abdominal CT images for flat-shaped colonic polyp detection International conference

Computer Assisted Radiology and Surgery (CARS) 2008

Digital bowel cleansing free detection method of colonic polyp from fecal tagging CT images International conference

SPIE Medical Imaging 2008

局所濃淡構造解析によるデジタル残渣除法の不要な腸内残渣造影CT像からの大腸ポリープ検出手法

小田昌宏, 北坂孝幸, 森健策, 末永康仁, 高山哲治, 高畠博嗣, 森雅樹, 名取博, 縄野繁

第16回日本コンピュータ外科学会大会/第17回コンピュータ支援画像診断学会大会

Colonic polyp detection method from 3D abdominal CT images based on local intensity analysis International conference

Computer Assisted Radiology and Surgery (CARS) 2007

A new method for detecting colonic polyps based on local intensity structure analysis from 3D abdominal CT images International conference

SPIE Medical Imaging 2007

Colonic polyp detection method from 3D abdominal CT images based on local intensity structure information

A Study of Image Display Methods on Computer Aided Diagnosis System for Colonic Polyps based on 3D Abdominal CT Images

An improved method for generating less-distorted virtual unfolded views of the colon for CT colonography International conference

Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga

Computer Assisted Radiology and Surgery (CARS) 2006

A method for generating virtual unfolded view of colon using spring model International conference

SPIE Medical Imaging 2006

Colon Navi-CAD: A Nvigation-based Computer Aided Diagnosis System for CT Colonography Based on Seamless Integration of Virtual Stretched Views and Automated Polyps Detection International conference

Radiological Society of North America (RSNA) 2005

A Method for Reducing Distortions on Virtual Stretched Views of the Colon

Development of a Navigation-Based CAD System for Colon International conference

8th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2005)

A Study on Method of Distortion Reduction of Virtual Stretched Image Using Spring Model

2005 Tokai-Section Joint Conference of the Institutes of Electrical and Related Engineers

Development of Computer Aided Diagnosis System for Colorectal Cancer using Virtual Stretched View

仮想展開像と仮想内視鏡像を用いた大腸がん診断支援システムの開発

小田昌宏, 林雄一郎, 北坂孝幸, 森健策, 末永康仁

平成16年度日本エム・イー学会東海支部学術集会

Development of Computer Aided Diagnosis System for Colorectal Cancer based on Navigation Diagnosis

Abdominal artery segmentation from CT volumes using fully convolutional network for small artery segmentation

Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2018 2018.6.20

3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation

Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Ken'ichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori

MICCAI 2017, 3rd Workshop on Deep Learning in Medical Image Analysis 2017.9.14

AIによるコンピューター手術支援研究の加速 Invited International conference

小田昌宏

第26回日本コンピュータ外科学会大会(JSCAS2017) 2017.10.28

Realistic virtual endoscopic image generation method using image domain translation International conference

Masahiro Oda, Kiyohito Tanaka, Hirotsugu, Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

The 28th Annual Congress of Japan Society of Computer Aided Surgery 2019.11.22

Language：Japanese Presentation type：Oral presentation (general)

Venue：University of Tokyo

We propose a realistic virtual endoscopic image generation method for endoscope simulators. Endoscope simulators are used to train endoscopists. However, less realistic visualization of simulators reduces effect of training. Main differences of virtual endoscopic images generated by simulators and real endoscopic images are textures and light reflections on the surface of organs. The differences should be reduced to improve reality of virtual images. This paper proposes a method to improve reality of virtual endoscopic images using a virtual to real endoscopic image domain translation technique. In the image domain translation, the structure of fully convolutional network (FCN) that performs image translation has relation to the reality of translated images. We experimentally confirmed reality of translated images using three different FCNs. From the result, use of larger numbers of kernels and layers resulted in generation of realistic images.

Tutorial of Deep Learning International conference

Masahiro Oda

2018.9.14

深層学習を用いた医用画像処理研究の最前線 Invited International conference

小田昌宏

第47回日本放射線技術学会秋季学術大会（第86回画像部会教育講演） 2019.10.17 第47回日本放射線技術学会秋季学術大会（第86回画像部会教育講演）

深層学習を用いた医用画像処理の始め方 Invited International conference

小田昌宏

生体医工学シンポジウム2018 2018.9.14 生体医工学シンポジウム2018

機械学習を用いた診断と治療支援 Invited International conference

小田昌宏

第47回日本脊椎脊髄病学会学術集会 2018.4.12 日本脊椎脊髄病学会

大腸変形モデルを用いた大腸内視鏡下治療誘導システムの開発 Invited International conference

小田昌宏

第31回人工知能学会全国大会 2017.5.23 JST

大腸内視鏡トラッキングのためのregression forestsを用いた大腸変形モデルの開発 International conference

小田昌宏, 北坂孝幸, 古川和宏, 宮原良二, 廣岡芳樹, 後藤秀実, Nassir Navabe, 森健策

第26回日本コンピュータ外科学会大会(JSCAS2017) 2017.10.28

Development of AI assisted diagnosis and treatment powered by integrated use of various data Invited International conference

Masahiro Oda

The 92th Annual Meeting of the Japan Orthopaedic Association 2019.5.9 The 92th Annual Meeting of the Japan Orthopaedic Association

Deep learning for medical images in surgical field International conference

Masahiro Oda

The 27th Annual Congress of Japan Society of Computer Aided Surgery 2018.11.9

Language：Japanese Presentation type：Public lecture, seminar, tutorial, course, or other speech

Deep learning contributes growing of the information processing field. It is used to achieve computer systems having high recognition performances. Traditionally, recognition algorithm was individually developed for each task. In contrast to them, a common model or a framework is applicable to many recognition tasks in the deep learning field. This property contributes acceleration of research and development. In this session, we explain how to perform image processing using deep learning in hands-on style. How to develop and execute basic deep learning-based image processing methods including image classification and segmentation are explained. Programs of these methods will run on attendee's computers. Attendee are requested to install software and download data to their own computers prior to joining the hands-on.

AI and Machine Learning in Medical Image Engineering Invited International conference

Masahiro Oda

The 63rd Annual Conference of the Institute of Systems, Control and Information Engineers (SCI'19) 2019.5.22 The 63rd Annual Conference of the Institute of Systems, Control and Information Engineers (SCI'19)

Language：Japanese Presentation type：Public lecture, seminar, tutorial, course, or other speech

Venue：Central Electric Club

In the medical image processing field, utilization of AI and machine learning techniques are getting popular. Among AI and machine learning techniques, the deep learning significantly contributes to improve performances of medical image processing methods. This paper introduces some automated segmentation and lesion detection techniques including conventional and deep learning-based methods. Improvements of their performances obtained by using deep learning techniques are also presented. Additionally, two problems that medical image processing researches who use AI and machine learning techniques facing are introduced.

Deep Learning Sample Code Collection for Medical Image Processing: DMED International conference

Masahiro Oda, Takeshi Hara, Kensaku Mori

The 27th Annual Congress of Japan Society of Computer Aided Surgery 2018.11.9

Language：Japanese Presentation type：Poster presentation

Deep learning techniques are widely used in both of computer aided surgery (CAS) and diagnosis (CAD) fields. Many software to use deep learning are available. However, in the medical assisting research field, we need to implement new deep learning-based methods. It is difficult for researchers who are not specialized in image processing or machine learning. To accelerate use of deep learning for all researchers, we developed the deep learning sample code collection for medical image processing (DMED). DMED enables easy use of key deep learning-based methods including medical image processing. Current DMED includes sample codes for image classification, segmentation, and superresolution. Different from the previous deep learning library such as the NiftyNet and the DLTK, the DMED performs training processes in reasonable processing time without GPU. We expect the DMED accelerates use of deep learning-based image processing methods in the CAS and CAD fields.

医用画像における深層学習を利用した研究のはじめかた Invited International conference

小田昌宏

第37回日本医用画像工学大会 2018.7.25 日本医用画像工学会

Non-contrast to contrasted abdominal CT volume regression using fully convolutional network

Masahiro Oda, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2019 2019.6.18

Report on MICCAI 2018 International conference

Masahiro Oda, Yoshito Otake, Hayato Itoh, Takaaki Sugino, Atsushi Saito, Ryo Furukawa, Takashi Onishi, Atsushi Imiya, Kensaku Mori

2019.1.23

MICCAI 2016参加報告 International conference

小田昌宏, 宮内翔子, 諸岡健一, 周向栄, 増谷佳孝, 中口俊哉, 井宮淳, 森健策

電子情報通信学会医用画像研究会 2017.1.18

Machine Learning Techniques for Automated Accurate Organ Segmentation and Their Applications to Diagnosis Assistance

Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori, Michitaka Fujiwara, Daniel Rueckert

RSNA 2017 (Radiological Society of North America) 2017.11.26

Hands-on Seminar on JAMIT International conference

Norio Nanata, Takeshi Hara, Masahiro Oda, Daisuke Fukuoka

The 37th JAMIT Annual Meeting 2018.7.25

JAMITハンズオンセミナー International conference

原武史, 中田典生, 小田昌宏, 福岡大輔, 田中理恵, 中山良平

第38回日本医用画像工学会大会 2019.7.24

Generative Adversarial Networks Showcase: Their Mechanisms and Radiological Applications

Masahiro Oda, Hirohisa Oda, Kanako K. Kumamaru, Shigeki Aoki, Hiroshi Natori, Kensaku Mori, Masaki Mori, Hirotsugu Takabatake

Radiological Society of North America (RSNA) 2019 2019.12.1

Estimation of Contrasted Abdominal CT Volume from Non-contrasted CT Volume using Generative Adversarial Frameworks International conference

Masahiro Oda, Kanako Kumamaru, Shigeki Aoki, Kensaku Mori

The 38th JAMIT Annual Meeting 2019.7.24

Language：Japanese Presentation type：Poster presentation

Venue：Nara Kasugano International Forum

We propose an estimation method of an abdominal contrasted CT volume from a non-contrasted CT volume. In diagnosis and treatment, contrasted CT volumes are taken to confirm anatomical structure and abnormal regions related to the blood vessels. However, administration of contrast agents causes dyspnea and cardiac arrest in some cases. In this paper, we propose an estimation method of contrasted images from non-contrasted images in abdominal CT volumes. As the estimation method, we employ an image regression model using a fully convolutional network (FCN). We trained the FCN in a direct-training and indirect-trainings using generative adversarial frameworks (pix2pix, CycleGAN). In our experiments using abdominal CT volumes, contrasted CT-like volumes having good-quality were generated when we used the CycleGAN.

Fully convolutional networkを用いた小構造物セグメンテーション方法の検討及び腹部動脈への適用 International conference

小田昌宏, Holger R. Roth, 北坂孝幸, 三澤一成, 藤原道隆, 森健策

第37回日本医用画像工学大会（JAMIT2018) 2018.7.25

False positive reduction of abdominal artery segmentation from CT volumes based on deep convolutional neural networks

Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2017 2017.6.20

Extraction of membrane structure in eyeball from MR volumes

Masahiro Oda, Kin Taichi, Kensaku Mori

SPIE Medical Imaging, 2017 2017.2.11

Endocytoscope image classification using deep convolutional neural networks

Masahiro Oda, Yutaka Hoshiyama, Masashi Misawa, Yuichi Mori, Kenichi Takeda, Sin-ei Kudo, Kensaku Mori

Computer Assisted Radiology and Surgery (CARS) 2017 2017.6.20

CT 像から抽出した腹部動脈領域におけるCNN を用いた過検出削減でのパッチ画像生成手法の検討 International conference

小田昌宏, 山本徳則, 吉野能, 森健策

第36回日本医用画像工学会大会(JAMIT2017) 2017.7.27

Colonoscope tracking method based on shape estimation network

Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Yoshiki Hirooka, Nassir Navab, Kensaku Mori

SPIE Medical Imaging 2019 2019.2.16

Language：English Presentation type：Oral presentation (general)

Venue：San Diego, California, USA

This paper presents a colonoscope tracking method utilizing a colon shape estimation method. CT colonography is used as a less-invasive colon diagnosis method. If colonic polyps or early-stage cancers are found, they are removed in a colonoscopic examination. In the colonoscopic examination, understanding where the colonoscope running in the colon is difficult. A colonoscope navigation system is necessary to reduce overlooking of polyps. We propose a colonoscope tracking method for navigation systems. Previous colonoscope tracking methods caused large tracking errors because they do not consider deformations of the colon during colonoscope insertions. We utilize the shape estimation network (SEN), which estimates deformed colon shape during colonoscope insertions. The SEN is a neural network containing long short-term memory (LSTM) layer. To perform colon shape estimation suitable to the real clinical situation, we trained the SEN using data obtained during colonoscope operations of physicians. The proposed tracking method performs mapping of the colonoscope tip position to a position in the colon using estimation results of the SEN. We evaluated the proposed method in a phantom study. We conrmed that tracking errors of the proposed method was enough small to perform navigation in the ascending, transverse, and descending colons.

Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique International conference

Oda M

Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2020

AIプログラミング基礎編，AIプログラミング実践編 Invited International conference

小田昌宏

えひめAI・IoT研究会技術セミナー 2019.4.6 愛媛県経済労働部産業支援局

AIを活用した画像処理について Invited International conference

小田昌宏

えひめAI・IoT研究会技術セミナー 2019.4.6 愛媛県経済労働部産業支援局

AIによるコンピュータ外科の始め方 - 研究環境構築法 Invited International conference

小田昌宏

第27回日本コンピュータ外科学会大会 2018.11.9 第27回日本コンピュータ外科学会大会

仮想腹腔鏡画像生成と深層学習による腹腔鏡画像からの術具領域セグメンテーション

小澤卓也, 林雄一郎, 小田紘久, 小田昌宏, 北坂孝幸, 竹下修由, 伊藤雅昭, 森健策

電子情報通信学会医用画像研究会医用画像研究会 2020.1.29

名古屋大学スーパーコンピュータ「不老」における医用画像処理

大島聡史, 小田昌宏, 片桐孝洋, 森健策

電子情報通信学会医用画像研究会医用画像研究会 2020.9.3

ニューラルネットワークとSpherical K-meansを用いた胃壁マイクロCT像からの層構造および腫瘍抽出の検討

御手洗翠, 小田紘久, 杉野貴明, 守谷享泰, 伊東隼人, 小田昌宏, 小宮山琢真, 古川和宏, 宮原良二, 藤城光弘, 森雅樹, 高畠博嗣, 名取博, 森健策

電子情報通信学会医用画像研究会医用画像研究会 2020.9.3

臨床肺CT画像と切除肺マイクロCT画像の非剛体位置合わせ手法の検討

波多腰慎矢, 小田紘久, 林雄一郎, Holger R. Roth, 中村彰太, 小田昌宏, 森雅樹, 高畠博嗣, 名取博, 森健策

電子情報通信学会医用画像研究会医用画像研究会 2020.1.30

CycleGANによる腸管電子洗浄とその腸管閉塞部位検出への応用

西尾光平, 小田紘久, 千馬耕亮, 北坂孝幸, 林雄一郎, 伊東隼人, 小田昌宏, 檜顕成, 内田広夫, 森健策

電子情報通信学会医用画像研究会医用画像研究会 2020.1.30

MICCAI 2019参加報告

小田昌宏, 伊東隼人, 宮内翔子, 諸岡健一, 松崎博貴, 花岡昇平, 古川亮, 増谷佳孝, 森健策

電子情報通信学会医用画像研究会医用画像研究会 2020.1.30

腹腔鏡下手術支援のためのU-Netに基づく腹腔鏡動画像からの出血領域の推定

山本翔太, 林雄一郎, 盛満慎太郎, 小澤卓也, 北坂孝幸, 小田昌宏, 竹下修由, 伊藤雅昭, 森健策

電子情報通信学会医用画像研究会医用画像研究会 2020.1.30

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