Learning from images of life and medicine.

Soichi Mita received the FY2025 IEICE PRMU Research Encouragement Award.

PRMU2025-36, “Vessel Centerline Estimation from 3D CT Images Using Diffusion Models”

Kaito Shiku received the 25th IEEE Fukuoka Section Student Research Encouragement Award.

Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer (WACV 2025, pp. 4290–4299)

Mikio Osajima received the Presentation Encouragement Award at the 78th Joint Conference of Electrical, Electronics and Information Engineers in Kyushu.

“Adaptive Selection of Medical Tests”

Soichi Mita received the IPSJ Kyushu Branch Encouragement Award at the 78th Joint Conference of Electrical, Electronics and Information Engineers in Kyushu.

“Vessel Extraction from CT Images Using a Generative Model”

One paper has been accepted in NeurIPS 2025 (NeurIPS2025) (Top conference in machine learning, acceptance rate:24%)

Learning to Relative Expression under Batch Effects and Stochastic Noise in Spatial Transcriptomics

One paper has been accepted in MICCAI2025 (Top conference in medical image analysis, acceptance rate:29%)

Junda Liao, Chu Zhou, Yuta Asano, Yushi Suzuki, Ryoma Bise, Nobuaki Imanishi, Kazuo Kishi, Sadakazu Aiso, and Imari Sato

Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

One paper has been accepted in CVPR2025 (Top conference in computer vision, acceptance rate:22.1%)

Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, and Masahiro Nomura

Instance-wise Supervision-level Optimization in Active Learning

One paper has been accepted in WACV2025 (Core Rank A, acceptance rate in Round 1:12% (167/1381))

Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, and Ryoma Bise

Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer

One paper has been accepted in BMVC2024 (Core Rank A, acceptance rate:25.8% (264/1020) )

Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano, Takayuki Yagi, and Ryoma Bise

Guidance-base Diffusion Models for Improving Photoacoustic Image Quality

One paper has been accepted in ECAI2024 (Core Rank A, acceptance rate:23% (547/2344) )

Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa and Ryoma Bise

Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags

One paper has been accepted in MedIA (IF:10.7, top journal in medical image analysis)

Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, and Seiichi Uchida

Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity

A paper is accepted in MICCAI2024(Top Conference in Medical image analysis, acceptance rate:11%).

1. S. Matsuo, D. Suehiro, S. Uchida, H. Ito, K. Terada, A. Yoshizawa and R. Bise

Learning from Partial Label Proportions for Whole Slide Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),2024

A paper is accepted in Nature Communications(Top Journal, IF:17.7).

1. K. Tomimatsu, T. Fujii, R. Bise, et al.,

Precise immunofluorescence canceling for highly multiplexed imaging to capture specific cell states

Nature Communications, 15, 1, 3657, 2024

One paper is accepted in ICASSP2024(Top Conference in Signal Processing).

1. Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, and Ryoma Bise

Counting Network for Learning from Majority Label

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024),2024

I am promoted to a Professor.

One paper is accepted in ICCV2023(Top Conference in Computer Vision).

1. Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro and Ryoma Bise

MixBag: Bag-Level Data Augmentation for Learning from Label Proportions

International Conference on Computer Vision (ICCV),2023

One paper is accepted in MICCAI2023(Top Conference in Medical image analysis).

1. Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, and Ryoma Bise

Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping

One paper is accepted in ICASSP2023(Top Conference in signal processing).

1. Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, and Daiki Suehiro

Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization

Four papers have been accepted in IEEE ISBI2023(h5-index:55).

1. Yuki Shigeyasu, Shota Harada, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, and Ryoma Bise

Spatial Distribution-based Pseudo Labeling for Pathological Image Segmentation

2. Xiaoqing Liu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, and Ryoma Bise

Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation

3. Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, and Seiichi Uchida

Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification

4. Xiaoqing Liu, Kenji Ono, and Ryoma Bise

Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation

Two papers have been accepted in WACV2023.

1. Takanori Asanomi, Kazuya Nishimura, and Ryoma Bise

Multi-Frame Attention with Feature-Level Warping for Drone Crowd Tracking

2. Kazuya Nishimura, and Ryoma Bise

Weakly Supervised Cell-Instance Segmentation with Two Types of Weak Labels by Single Instance Pasting

One paper has been accepted in Arthritis Research & Therapy(IF:5.606).

Kazuki Miyama, Ryoma Bise, Satoshi Ikemura, et al.

Deep learning-based automatic-bone-destruction-evaluation system using contextual information from other joints

One paper has been accepted to MICCAI2020 (Top Conference in Medical image analysis, acceptance rate:31%)

T Asanomi, K Nishimura, H Song, J Hayashida, H Sekiguchi, T Yagi, I Sato, and R Bise

Unsupervised Deep Robust Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

International Conference on Medical Image Computing and Computer Assisted Intervention, 2022

One paper has been accepted in MedIA (IF:8.545)

Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, and Ryoma Bise

Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection

Medical Image Analysis, 2022

One paper has been accepted in WACV2022

J Hayashida, K Nishimura, R Bise

Consistent Cell Tracking in Multi-Frames With Spatio-Temporal Context by Object-Level Warping Loss

IEEE/CVF Winter Conference on Applications of Computer Vision(WACV), 2022

4 papers are accepted to MICCAI2020 (Top Conference in Medical image analysis)

1. Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, and Ryoma Bise

Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmapg

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2021),

2. Kazuya Nishimura, Hyeonwoo Cho, and Ryoma Bise

Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency

3. Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, and Ryoma Bise

Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification

4. Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka and Seiichi Uchida

Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels

One paper is accepted to MIA (Top Journal in Medical image analysis, IF:11.148)

Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida

Soft and Self Constrained Clustering for Group-Based Labeling

Medical Image Analysis, 2021

Two papers are accepted in ECCV2020 (Top Conference in Computer Vision, acceptance rate:27%)。

1. K. Nishimura, J. Hayashida, C. Wang, D.F.E. Ker, and R. Bise

Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation

2. H. Tokunaga, B.K. Iwana, Y. Teramoto, A. Yoshizawa, and R. Bise

Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology

One paper is accepted to MICCAI2020 (Top Conference in Medical image analysis)

M. Shimano, Y. Asano, S. Ishihara, R. Bise, and I. Sato,

Imaging Scattering Characteristics of Tissue in Transmitted Microscopy

One paper is accepted in CVPR2020 (oral, Top Conference in Computer Vision, acceptance rate:22%)

J. Hayashida, K. Nishimura and R. Bise,

MPM: Joint Representation of Motion and Position Map for Cell Tracking pdf

Three papers are accepted to MICCAI2019 (Top Conference in Medical image analysis, acceptance rate: 31%)

R. Bise, K. Abe, H. Hayashi, K. Tanaka, and S. Uchida, Efficient Soft-Constrained Clustering for Group-Based Labeling

K. Nishimura, E.D. Ker, and R. Bise, Weakly Supervised Cell Segmentation in Dense by Propagating from Detection Map

J. Hayashida, and R. Bise, Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate

One paper is accepted in CVPR2019 (Top Conference in Computer Vision, Poster, acceptance rate:25%)

H. Tokunaga, Y. Teramoto, A. Yoshizawa, R. Bise,

Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology