Masahiro Oda 0001

dblp:44/6865 · DBLP profile ↗
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27ranked-venue papers
4as first author
9since 2021 · last 2025
0000-0001-7714-422XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 26 · 4 first-author · 8 since 2021Graphics, computer vision, multimedia, augmented reality and games · 22 · 4 first-author · 9 since 2021Artificial intelligence and machine learning · 3 · 1 since 2021
YearPublicationVenuePosition
2025 Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images
Wenda Li 0004, Yuichiro Hayashi, Masahiro Oda 0001, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori
MICCAI (9)3
2024 EndoSelf: Self-supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos
Wenda Li 0004, Yuichiro Hayashi, Masahiro Oda 0001, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori
MICCAI (6)3
2024 A Bayesian Approach to Weakly-Supervised Laparoscopic Image Segmentation
Yuichiro Hayashi, Masahiro Oda 0001, Takayuki Kitasaka, Kensaku Mori
MICCAI (6)3
2024 Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency
Ruiyun Zhu, Masahiro Oda 0001, Yuichiro Hayashi, Takayuki Kitasaka, Kensaku Mori
MICCAI (8)2
2023 Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-Temporal Correspondence
Wenda Li 0004, Yuichiro Hayashi, Masahiro Oda 0001, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori
MICCAI (9)3
2023 Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images
Xinkai Zhao, Yuichiro Hayashi, Masahiro Oda 0001, Takayuki Kitasaka, Kensaku Mori
MICCAI (1)3
2022 TriMix: A General Framework for Medical Image Segmentation from Limited Supervision
Yuichiro Hayashi, Masahiro Oda 0001, Takayuki Kitasaka, Kensaku Mori
ACCV (6)3
2022 Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method
Tao Hu 0009, Hayato Itoh, Masahiro Oda 0001, Yuichiro Hayashi, Zhongyang Lu, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kanako K. Kumamaru, Toshiaki Akashi, Kensaku Mori
MICCAI (8)3
2022 Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency
Wenda Li 0004, Yuichiro Hayashi, Masahiro Oda 0001, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori
MICCAI (4)3
2020 Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation
Masahiro Oda 0001, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Alejandro F. Frangi, Kensaku Mori
Medical Image Anal.2
2019 Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models
Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger Roth, Masahiro Oda 0001, Kensaku Mori
MICCAI (6)6
2019 Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images
Yuichiro Hayashi, Masahiro Oda 0001, Hayato Itoh, Takayuki Kitasaka, Alejandro F. Frangi, Kensaku Mori
MICCAI (6)3
2018 Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning
Hayato Itoh, Holger Roth, Le Lu 0001, Masahiro Oda 0001, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Kensaku Mori
MICCAI (2)4
2018 BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images
Hirohisa Oda, Holger Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda 0001, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, Kensaku Mori
MICCAI (2)6
2018 Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks
Masahiro Oda 0001, Holger Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori
MICCAI (4)1
2018 A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation
Holger Roth, Chen Shen 0002, Hirohisa Oda, Takaaki Sugino, Masahiro Oda 0001, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
MICCAI (4)5
2017 Influence of using 3D images and 3D-printed objects on spatial reasoning of experts and novices
Akihiro Maehigashi, Kazuhisa Miwa, Masahiro Oda 0001, Yoshihiko Nakamura, Kensaku Mori, Tsuyoshi Igami
CogSci3
2017 Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network
Meng Qier, Holger Roth, Takayuki Kitasaka, Masahiro Oda 0001, Junji Ueno, Kensaku Mori
MICCAI (2)4
2017 TBS: Tensor-Based Supervoxels for Unfolding the Heart
Hirohisa Oda, Holger Roth, Kanwal K. Bhatia, Masahiro Oda 0001, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori
MICCAI (1)4
2017 Multi-atlas pancreas segmentation: Atlas selection based on vessel structure
Kenichi Karasawa, Masahiro Oda 0001, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Chengwen Chu, Guoyan Zheng, Daniel Rueckert, Kensaku Mori
Medical Image Anal.2
2016 Influence of 3D images and 3D-printed objects on spatial reasoning
Akihiro Maehigashi, Kazuhisa Miwa, Masahiro Oda 0001, Yoshihiko Nakamura, Kensaku Mori, Tsuyoshi Igami
CogSci3
2016 Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation
Masahiro Oda 0001, Natsuki Shimizu, Kenichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori
MICCAI (2)1
2016 Tensor-Based Graph-Cut in Riemannian Metric Space and Its Application to Renal Artery Segmentation
abstract
Renal artery segmentation remained a big challenging due to its low contrast. In this paper, we present a novel graph-cut method using tensor-based distance metric for blood vessel segmentation in scale-valued images. Conventional graph-cut methods only use intensity information, which may result in failing in segmentation of small blood vessels. To overcome this drawback, this paper introduces local geometric structure information represented as tensors to find a better solution than conventional graph-cut. A Riemannian metric is utilized to calculate tensors statistics. These statistics are used in a Gaussian Mixture Model to estimate the probability distribution of the foreground and background regions. The experimental results showed that the proposed graph-cut method can segment about $$80\,\%$$ of renal arteries with 1mm precision in diameter.
Masahiro Oda 0001, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Alejandro F. Frangi, Kensaku Mori
MICCAI (3)2
2015 Automated anatomical labeling of abdominal arteries and hepatic portal system extracted from abdominal CT volumes
Tetsuro Matsuzaki, Masahiro Oda 0001, Takayuki Kitasaka, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
Medical Image Anal.2
2013 Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images
Chengwen Chu, Masahiro Oda 0001, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Yuichiro Hayashi, Yukitaka Nimura, Daniel Rueckert, Kensaku Mori
MICCAI (2)2
2013 Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes
Masahiro Oda 0001, Tomoaki Suito, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Gen Iinuma, Kazunari Misawa, Shigeru Nawano, Kensaku Mori
MICCAI (1)1
2005 Development of a Navigation-Based CAD System for Colon
Masahiro Oda 0001, Takayuki Kitasaka, Yuichiro Hayashi, Kensaku Mori, Yasuhito Suenaga, Jun-ichiro Toriwaki
MICCAI1