M. Oda

K. Mori, S. Kudo, K. Ohtsuka, 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

Full-color imaging through a turbid medium by use of photorefractive coherence gating and a technique to separate the recording spaces.

Minoru Obara, Masahiro Oda, Akira Shiratori, 2002, Applied optics.

Cardiac fiber tracking on super high-resolution CT images: a comparative study

Tetsuya Yuasa, Hirohisa Oda, Masahiro Oda, 2020, Journal of medical imaging.

SR-CycleGAN: super-resolution of clinical CT to micro-CT level with multi-modality super-resolution loss

K. Mori, M. Oda, H. Takabatake, 2022, Journal of medical imaging.

Artificial intelligence and computer-aided diagnosis for colonoscopy: where do we stand now?

K. Mori, S. Kudo, Y. Mori, 2020 .

Unsupervised segmentation of 3D medical images based on clustering and deep representation learning

Holger Roth, Hirohisa Oda, Masahiro Oda, 2018, Medical Imaging.

Current status and future perspective on artificial intelligence for lower endoscopy

K. Mori, S. Kudo, Y. Mori, 2020, Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society.

Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts

Kenichi Takeda, Masahiro Oda, Kensaku Mori, 2017, International Journal of Computer Assisted Radiology and Surgery.

Artificial intelligence for magnifying endoscopy, endocytoscopy, and confocal laser endomicroscopy of the colorectum

K. Mori, S. Kudo, Y. Mori, 2020 .

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

K. Mori, M. Oda, K. Misawa, 2022, Medical Imaging.

Applied Technologies and Systems

Noboru Niki, Yoshiki Kawata, Masahiro Oda, 2017 .

Computer Assisted Radiology and Surgery Digital Bowel Cleansing Free Colonic Polyp Detection Method for Fecal Tagging CT Colonography 1

T. Kitasaka, K. Mori, Y. Suenaga, 2009 .

Artificial Intelligence for Colorectal Polyp Detection and Characterization

K. Mori, S. Kudo, Y. Mori, 2020, Current Treatment Options in Gastroenterology.

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

Yuichiro Hayashi, Masahiro Oda, Kensaku Mori, 2021, Medical Imaging.

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

Yuichiro Hayashi, Masahiro Oda, Kensaku Mori, 2021, International Journal of Computer Assisted Radiology and Surgery.

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

K. Mori, N. Hattori, K. Kamagata, 2022, Medical Imaging.

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

Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda, 2021, SASHIMI@MICCAI.

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

Masahiro Oda, Kensaku Mori, Zhou Zheng, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

DEVELOPMENT OF A COMPUTER AIDED DIAGNOSIS SYSTEM FOR COLORECTAL CANCER BASED ON NAVIGATION DIAGNOSIS

Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, 2006 .

Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience.

Hayato Itoh, Holger Roth, Masahiro Oda, 2018, Gastroenterology.

Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation

T. Kitasaka, K. Mori, M. Oda, 2022, Medical Imaging.

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

K. Mori, M. Oda, Y. Otake, 2022, Medical Imaging.

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

K. Mori, N. Hattori, K. Kamagata, 2022, Medical Imaging.

Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video).

K. Mori, S. Kudo, K. Ohtsuka, 2019, Gastrointestinal endoscopy.

Blood Vessel Segmentation from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based Network

K. Mori, M. Oda, T. Takebe, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

K. Mori, M. Oda, M. Mori, 2019, Medical Imaging: Image Processing.

Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation

S. Kudo, Y. Mori, M. Misawa, 2022, International Journal of Computer Assisted Radiology and Surgery.

Class-wise confidence-aware active learning for laparoscopic images segmentation

T. Kitasaka, K. Mori, M. Oda, 2022, International Journal of Computer Assisted Radiology and Surgery.

Micro-computed tomography images of lung adenocarcinoma: detection of lepidic growth patterns

K. Mori, S. Iwano, M. Oda, 2020, Nagoya journal of medical science.

Prediction of dose distribution from luminescence image of water using a deep convolutional neural network for particle therapy.

K. Mori, M. Oda, T. Toshito, 2020, Medical physics.

Anatomy aware-based 2.5D bronchoscope tracking for image-guided bronchoscopic navigation

T. Kitasaka, K. Mori, H. Itoh, 2022, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.

Classification and visual explanation for COVID-19 pneumonia from CT images using triple learning

K. Mori, K. Hotta, M. Oda, 2022, Scientific Reports.

Oesophagus Achalasia Diagnosis from Esophagoscopy Based on a Serial Multi-scale Network

M. Misawa, M. Oda, Y. Hayashi, 2023, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation

S. Kudo, Y. Mori, M. Misawa, 2022, International Journal of Computer Assisted Radiology and Surgery.

Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images

Alejandro F. Frangi, Hayato Itoh, Yuichiro Hayashi, 2019, MICCAI.

Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

K. Mori, S. Kudo, K. Ohtsuka, 2020, Gastroenterology.

Automated Detection of Spinal Schwannomas Utilizing Deep Learning Based on Object Detection from MRI.

K. Mori, M. Oda, N. Ishiguro, 2020, Spine.

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images

Shingo Iwano, Holger Roth, Hirohisa Oda, 2018, Medical Imaging.

Development of a Navigation-Based CAD System for Colon

Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, 2005, MICCAI.

Automated branching pattern report generation for laparoscopic surgery assistance

Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, 2015, Medical Imaging.

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning pdf

Daguang Xu, Masahiro Oda, Weichung Wang, 2020, DART/DCL@MICCAI.

Multi‐atlas pancreas segmentation: Atlas selection based on vessel structure

Chengwen Chu, Guoyan Zheng, Daniel Rueckert, 2017, Medical Image Anal..

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation pdf

Daguang Xu, Masahiro Oda, Kensaku Mori, 2021, CLIP/DCL/LL-COVID19/PPML@MICCAI.

Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning

Hayato Itoh, Holger Roth, Le Lu, 2018, MICCAI.

Influence of using 3D images and 3D-printed objects on spatial reasoning of experts and novices

Yoshihiko Nakamura, Masahiro Oda, Kensaku Mori, 2017, CogSci.

Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning

H. Roth, C. Fuh, M. Oda, 2022, DeCaF/FAIR@MICCAI.

An application of cascaded 3D fully convolutional networks for medical image segmentation

Yuichiro Hayashi, Xiangrong Zhou, Holger Roth, 2018, Comput. Medical Imaging Graph..

On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks pdf

Yuichiro Hayashi, Holger Roth, Chen Shen, 2018, ArXiv.

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

Masahiro Oda, Kensaku Mori, Yuta Ueno, 2020, Medical Imaging.

Boundary-aware feature and prediction refinement for polyp segmentation

T. Kitasaka, K. Mori, M. Oda, 2022, Computer Methods in Biomechanics and Biomedical Engineering.

Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation

Yuichiro Hayashi, Tokunori Yamamoto, Masahiro Oda, 2019, Medical Image Anal..

L-former: a lightweight transformer for realistic medical image generation and its application to super-resolution

K. Mori, M. Oda, H. Takabatake, 2023, Medical Imaging.

Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping

H. Itoh, M. Oda, Y. Otake, 2023, ArXiv.

Connection method of separated luminal regions of intestine from CT volumes

Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, 2015, Medical Imaging.

Automated Ulcer Detection Method from CT Images for Computer Aided Diagnosis of Crohn's Disease

Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, 2013, IEICE Trans. Inf. Syst..

Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models

Hirohisa Oda, Kensaku Mori, Takayasu Moriya, 2019, MICCAI.

BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images

Holger Roth, Hirohisa Oda, Masahiro Oda, 2018, MICCAI.

Uncertainty meets 3D-spatial feature in colonoscopic polyp-size determination

S. Kudo, Y. Mori, M. Misawa, 2022, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Application of three‐dimensional print in minor hepatectomy following liver partition between anterior and posterior sectors

K. Mori, M. Oda, M. Nagino, 2018, ANZ journal of surgery.

Intestine Segmentation with Small Computational Cost for Diagnosis Assistance of Ileus and Intestinal Obstruction

T. Kitasaka, K. Mori, M. Oda, 2021, Lecture Notes in Computer Science.

Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer

David J. Hawkes, Yuichiro Hayashi, Masahiro Oda, 2016, International Journal of Computer Assisted Radiology and Surgery.

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

Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, 2017, International Journal of Computer Assisted Radiology and Surgery.

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

Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, 2012, Medical Imaging.

Robust endocytoscopic image classification based on higher-order symmetric tensor analysis and multi-scale topological statistics

Shoichi Saito, Masahiro Oda, Yuichi Mori, 2020, International Journal of Computer Assisted Radiology and Surgery.

Discriminative Feature Selection by Optimal Manifold Search for Neoplastic Image Recognition

Hayato Itoh, Masahiro Oda, Kensaku Mori, 2018, ECCV Workshops.

Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis

Hayato Itoh, Masahiro Oda, Kensaku Mori, 2018, Medical Imaging.

Realistic endoscopic image generation method using virtual-to-real image-domain translation

Masahiro Oda, Kensaku Mori, Hirotsugu Takabatake, 2019, Healthcare technology letters.

A visual SLAM-based bronchoscope tracking scheme for bronchoscopic navigation

Masahiro Oda, Takayuki Kitasaka, Hirotsugu Takabatake, 2020, International Journal of Computer Assisted Radiology and Surgery.

Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos

S. Kudo, Y. Mori, M. Misawa, 2023, International Journal of Computer Assisted Radiology and Surgery.

A semantic segmentation method for laparoscopic images using semantically similar groups

T. Kitasaka, K. Mori, M. Oda, 2023, Medical Imaging.

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas

Chengwen Chu, Daniel Rueckert, Yuichiro Hayashi, 2013, Medical Imaging.

Hierarchical 3D fully convolutional networks for multi-organ segmentation pdf

Yuichiro Hayashi, Holger Roth, Hirohisa Oda, 2017, ArXiv.

Fine segmentation of tiny blood vessel based on full connected conditional random field

Tokunori Yamamoto, Chenglong Wang, Masahiro Oda, 2018, Medical Imaging.

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks

Yuichiro Hayashi, Holger Roth, Hirohisa Oda, 2017, Medical Imaging.

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

Daniel Rueckert, Masahiro Oda, Takayuki Kitasaka, 2016, MICCAI.

Depth estimation from single-shot monocular endoscope image using image domain adaptation and edge-aware depth estimation pdf

Masahiro Oda, Kensaku Mori, Hirotsugu Takabatake, 2021, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

KST-Mixer: kinematic spatio-temporal data mixer for colon shape estimation

Nassir Navab, M. Oda, K. Furukawa, 2023, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Depth-based branching level estimation for bronchoscopic navigation

Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, 2021, International Journal of Computer Assisted Radiology and Surgery.

Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks pdf

Nassir Navab, Holger Roth, Masahiro Oda, 2018, MICCAI.

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

Nassir Navab, Masahiro Oda, Takayuki Kitasaka, 2016, International Journal of Computer Assisted Radiology and Surgery.

Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes

Daniel Rueckert, Yuichiro Hayashi, Masahiro Oda, 2015, MCV@MICCAI.

Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network

Holger Roth, Masahiro Oda, Takayuki Kitasaka, 2017, MICCAI.

Transmittance measurements of cold neutrons for some materials by means of neutron radiography

M. Oda, K. Yoneda, A. Tsuruno, 1996 .

Removal of scattered neutrons in thermal neutron radiography using a multichannel collimator

M. Oda, K. Tasaka, Kenji Takahashi, 1996 .

Study on neutron imaging techniques and processings for developing quantitative neutron radiography

M. Oda, Kenji Takahashi, M. Tamaki, 1996 .

NEUTRON RADIOGRAPHY WITH A ONE-DIMENSIONAL IMAGE SENSOR HAVING A HIGH LINEARITY RANGE

M. Oda, M. Honda, M. Tamaki, 1996 .

Fast neutron computed tomography with TV imaging at YAYOI

M. Oda, T. Nakajima, K. Yoshii, 1996 .

How Far Will Clinical Application of AI Applications Advance for Colorectal Cancer Diagnosis?

K. Mori, S. Kudo, Y. Mori, 2020, Journal of the anus, rectum and colon.

Machine learning-based colon deformation estimation method for colonoscope tracking

Nassir Navab, Masahiro Oda, Takayuki Kitasaka, 2018, Medical Imaging.

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

Nassir Navab, Masahiro Oda, Takayuki Kitasaka, 2016, SPIE Medical Imaging.

Tracking Accuracy Evaluation of Electromagnetic Sensor-Based Colonoscope Tracking Method

Nassir Navab, Masahiro Oda, Takayuki Kitasaka, 2015, CARE@MICCAI.

Colonoscope navigation system using colonoscope tracking method based on line registration

Nassir Navab, Masahiro Oda, Takayuki Kitasaka, 2014, Medical Imaging.

Development of automated extraction method of biliary tract from abdominal CT volumes based on local intensity structure analysis

Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, 2014, Medical Imaging.

A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation pdf

Yuichiro Hayashi, Holger Roth, Chen Shen, 2018, MICCAI.

Unsupervised colonoscopic depth estimation by domain translations with a Lambertian-reflection keeping auxiliary task

Masahiro Oda, Kensaku Mori, Hirotsugu Takabatake, 2021, International Journal of Computer Assisted Radiology and Surgery.

Organ Segmentation from 3D Abdominal CT Images Based on Atlas Selection and Graph Cut

Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, 2011, Abdominal Imaging.

A skeleton context-aware 3D fully convolutional network for abdominal artery segmentation

T. Kitasaka, K. Mori, M. Oda, 2022, International Journal of Computer Assisted Radiology and Surgery.

Abdominal artery segmentation method from CT volumes using fully convolutional neural network

Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, 2019, International Journal of Computer Assisted Radiology and Surgery.

Towards better laparoscopic video segmentation: A class‐wise contrastive learning approach with multi‐scale feature extraction

M. Oda, Kensaku Mori, Luyang Zhang, 2024, Healthcare Technology Letters.

Revisiting instrument segmentation: Learning from decentralized surgical sequences with various imperfect annotations

T. Kitasaka, M. Oda, Y. Hayashi, 2024, Healthcare technology letters.

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data

H. Roth, C. Fuh, M. Oda, 2023, ISIC/Care-AI/MedAGI/DeCaF@MICCAI.

Deep learning and its application to medical image segmentation pdf

Yuichiro Hayashi, Holger Roth, Chen Shen, 2018, ArXiv.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams

T. Kitasaka, K. Mori, H. Roth, 2019, Comput. Medical Imaging Graph..

Pancreas segmentation from 3D abdominal CT images using patient-specific weighted subspatial probabilistic atlases

Daniel Rueckert, Yuichiro Hayashi, Masahiro Oda, 2015, Medical Imaging.

Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images

Chengwen Chu, Daniel Rueckert, Yuichiro Hayashi, 2013, MICCAI.

Multi-organ Segmentation from 3D Abdominal CT Images using Patient-Specic

Chengwen Chu, Daniel Rueckert, Yuichiro Hayashi, 2017 .

A clinical assessment of three-dimensional-printed liver model navigation for thrice or more repeated hepatectomy based on a conversation analysis.

M. Oda, Y. Yokoyama, J. Yamaguchi, 2024, Surgery today.

Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases.

M. Oda, T. Oshika, M. Miyake, 2024, The British journal of ophthalmology.

Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification

H. Nakajima, Tetsuro Ohba, M. Oda, 2023, European Spine Journal.

Artificial intelligence in a prediction model for postendoscopic retrograde cholangiopancreatography pancreatitis

M. Oda, Y. Hayashi, T. Furukawa, 2023, Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society.

Effective hyperparameter optimization with proxy data for multi-organ segmentation

K. Mori, H. Roth, M. Oda, 2022, Medical Imaging.

Pneumoperitoneum simulation based on mass-spring-damper models for laparoscopic surgical planning

Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, 2015, Journal of medical imaging.

Automated Detection and Diagnosis of Spinal Schwannomas and Meningiomas Using Deep Learning and Magnetic Resonance Imaging

M. Oda, H. Nakashima, S. Imagama, 2023, Journal of clinical medicine.