Yuichiro Hayashi

EDBT 2026 Demo / reviewers in the wild / expert

dblp:08/240 · DBLP profile ↗

← Back

20ranked-venue papers

1as first author

9since 2021 · last 2025

—ORCID · conflict

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

Graphics, computer vision, multimedia, augmented reality and games · 18 · 1 first-author · 9 since 2021Applied, interdisciplinary, general and emerging computing · 18 · 1 first-author · 8 since 2021Artificial intelligence and machine learning · 2 · 1 since 2021

Year	Publication	Venue	Position
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)	2
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)	2
2024	A Bayesian Approach to Weakly-Supervised Laparoscopic Image Segmentation Yuichiro Hayashi, Masahiro Oda 0001, Takayuki Kitasaka, Kensaku Mori	MICCAI (6)	2
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)	3
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)	2
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)	2
2022	TriMix: A General Framework for Medical Image Segmentation from Limited Supervision Yuichiro Hayashi, Masahiro Oda 0001, Takayuki Kitasaka, Kensaku Mori	ACCV (6)	2
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)	4
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)	2
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.	3
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)	2
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)	6
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)	3
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.	4
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)	6
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)	3
2006	Spatiotemporal Density Feature Analysis to Detect Liver Cancer from Abdominal CT Angiography Yoshito Mekada, Yuki Wakida, Yuichiro Hayashi, Ichiro Ide, Hiroshi Murase	ACCV (2)	3
2005	Development of a Navigation-Based CAD System for Colon Masahiro Oda 0001, Takayuki Kitasaka, Yuichiro Hayashi, Kensaku Mori, Yasuhito Suenaga, Jun-ichiro Toriwaki	MICCAI	3
2004	Virtual Pneumoperitoneum for Generating Virtual Laparoscopic Views Based on Volumetric Deformation Takayuki Kitasaka, Kensaku Mori, Yuichiro Hayashi, Yasuhito Suenaga, Makoto Hashizume, Jun-ichiro Toriwaki	MICCAI (2)	3
2002	A Method for Detecting Undisplayed Regions in Virtual Colonoscopy and Its Application to Quantitative Evaluation of Fly-Through Methods Yuichiro Hayashi, Kensaku Mori, Yasuhito Suenaga, Jun-ichiro Toriwaki	MICCAI (2)	1