Faculty Profiles - ODA, Masahiro

Papers - ODA, Masahiro

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Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume Reviewed

Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Masahiro Oda, Junji Ueno, Kensaku Mori

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY Vol. 12 ( 2 ) page： 245 - 261 2017.2

GPU Implementation of SLIC Supervoxel Oversegmentation

Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Julia A. Schnabel, Kensaku Mori

International Forum on Medical Imaging in Asia (IFMIA) page： 266-268 2017.1

Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray microtomography of Lung Pathology

Holger Roth, Kai Nagara, Hirohisa Oda, Masahiro Oda, Tomoshi Sugiyama, Shota Nakamura, Kensaku Mori

International Forum on Medical Imaging in Asia (IFMIA) page： 54-56 2017.1

Deep-Learning-Based Segmentation for the Head Sectioned Images of the Visible Korean Project

Mohammad Eshghi, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Min Suk Chung, Kensaku Mori

MI2016-119 Vol. 116 ( 393 ) page： 191-194 2017.1

Structured Random Forestを用いた3次元腹部CT像からのリンパ節自動検出

寳珠山裕, Holger Roth, 小田昌宏, 中村嘉彦, 三澤一成, 藤原道隆, 森健策

電子情報通信学会技術研究報告(MI) Vol. 116 ( 393 ) page： 23-28 2017.1

MISTライブラリのためのGPUプログラミング

小田紘久, 小田昌宏, 北坂孝幸, 森健策

電子情報通信学会技術研究報告(MI) Vol. 116 ( 393 ) page： 133-136 2017.1

Influence of Voxel-Connection Structure in Organ Segmentation Based on Conditional Random Field

Ying Yang, Masahiro Oda, Kazunari Misawa, Daniel Rueckert, Kensaku Mori

MI2016-112 Vol. 116 ( 393 ) page： 157-162 2017.1

Robust colonoscope tracking method for colon deformations utilizing coarse-to-fine correspondence findings Reviewed International coauthorship

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

International Journal of Computer Assisted Radiology and Surgery Vol. 12 ( 1 ) page： 39-50 2017.1

Extracellular matrix directions estimation of the heart on micro-focus X-ray CT volumes Reviewed

Oda Hirohisa, Oda Masahiro, Kitasaka Takayuki, Akita Toshiaki, Mori Kensaku

MEDICAL IMAGING 2017: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING Vol. 10137 2017

Evaluation of a cardiac model using different 3D printers and materials Reviewed

Murata Masato, Hirayama Koudai, Takenouchi Sinsaku, Oda Masahiro, Mori Kensaku, Niki Kiyomi

Transactions of Japanese Society for Medical and Biological Engineering Vol. 55 ( 4 ) page： 273-273 2017

Language：Japanese Publishing type：Research paper (scientific journal)

<p>[Purpose] Models of the diseased heart produced by 3D printers are expected to provide useful information for surgical procedures. However, the precision of commercially available machines is uncertain. Therefore, we assessed the 3D models by two different methods. [Method] Using DICOM data derived from x-ray CT images of a heart, 3D models were produced by a fused deposition modeling method (FDM) and an ink-jet method. Polylactic resin (PLA) and silicone rubber (AR-G1L) were used as materials for the FDM and ink-jet methods, respectively. [Result] The model created using the FDM was produced at a reduced size due to limitations of the machine, which caused the coronary artery to collapse. It was also difficult to cut. The model created using the ink-jet method was produced at full scale and quite flexible. [Conclusion] The heart model created using the ink-jet method with silicone rubber provides excellent information for surgical treatment.</p>

DOI： 10.11239/jsmbe.55Annual.273

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Automated endoscopic image analysis based on machine learning

Mori Kensaku, Oda Masahiro, Misawa Masashi, Mori Yuichi, Kudo Shinei

Transactions of Japanese Society for Medical and Biological Engineering Vol. 55 ( 4 ) page： 344-344 2017

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

<p>This presentation introduces automated endoscopic image diagnosis method based on machine learning. Especially we discuss effectiveness of machine learning in automated diagnosis of endoscopic images by showing automated pathological type diagnosis of colonic polyps from endocytoscopy images as examples. Machine learning research staring from perceptron or statistical pattern recognition has started in many years ago. Progress of high performance computing has enabled us to train neural network having very complex network architecture. Machine learning techniques are considered to help physicians to diagnose endoscopic images, where very higher skills are required for diagnosis. This presentation will show several automated diagnosis methods for endoscopic images. The first method classifies pathological types of colonic polyps by using hand-crafted feature values. SVM is utilized for classification. The second example is the method using CNN for automated classification. We will show these method from the technological viewpoint. Also we will discuss about training data generation.</p>

DOI： 10.11239/jsmbe.55Annual.344

Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking Reviewed

Wang Cheng, Oda Masahiro, Hayashi Yuichiro, Misawa Kazunari, Roth Holger, Mori Kensaku

COMPUTER ASSISTED AND ROBOTIC ENDOSCOPY AND CLINICAL IMAGE-BASED PROCEDURES Vol. 10550 page： 60-69 2017

Micro-CT Guided 3D Reconstruction of Histological Images Reviewed

Nagara Kai, Roth Holger R., Nakamura Shota, Oda Hirohisa, Moriya Takayasu, Oda Masahiro, Mori Kensaku

PATCH-BASED TECHNIQUES IN MEDICAL IMAGING (PATCH-MI 2017) Vol. 10530 page： 93-101 2017

Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filter Reviewed

Meng Qier, Kitasaka Takayuki, Oda Masahiro, Mori Kensaku

SPIE MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS Vol. 10134 2017

Hessian-Assisted Supervoxel: Structure-Oriented Voxel Clustering and Application to Mediastinal Lymph Node Detection from CT Volumes Reviewed International coauthorship

Oda Hirosha, Bhatia Kanwal K., Oda Masahiro, Kitasaka Takayuki, Iwano Shingo, Homma Hirotoshi, Takabatake Hirotsugu, Mori Masaki, Natori Hiroshi, Schnabel Julia A., Mori Kensaku

MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS Vol. 10134 2017

Tracking and segmentation of the airways in chest CT using a fully convolutional network Reviewed

Qier Meng, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Junji Ueno, Kensaku Mori

MICCAI 2017 Vol. 10434 LNCS page： 198 - 207 2017

TBS: Tensor-based supervoxels for unfolding the heart Reviewed International coauthorship

Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori

MICCAI 2017 Vol. 10433 LNCS page： 681 - 689 2017

Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project Reviewed

Eshghi Mohammad, Roth Holger R., Oda Masahiro, Chung Min Suk, Mori Kensaku

PROCEEDINGS OF THE FIFTEENTH IAPR INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS - MVA2017 page： 290 - 293 2017

Automatic Segmentation of Head Anatomical Structures from Sparsely-annotated Images Reviewed

Sugino Takaaki, Roth Holger R., Eshghi Mohammad, Oda Masahiro, Chung Min Suk, Mori Kensaku

2017 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS (CBS) page： 145 - 149 2017

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

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 Vol. 10553 page： 222 - 230 2017

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Papers - ODA, Masahiro