血管とマルチモーダル医用画像

Selected International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.

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

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

2次元特徴対応と逆写像を使い、血管の3次元画像を位置合わせします。

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Selected The British Machine Vision Conference (BMVC), 2024. (accepted, acceptance rate:25.8% (264/1020) )

Guidance-base Diffusion Models for Improving Photoacoustic Image Quality

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

撮影条件に基づくガイダンスで、拡散モデルによる画像復元を改善します。

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Selected International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2016), pp.362-33

Vascular registration in Photoacoustic imaging by low-rank alignment via forground, background, and complement decomposition

R. Bise, Y. Zheng, I. Sato, and M. Toi

低ランク分解を用いて光音響画像の血管領域を揃えます。

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1. VesselFusion: Diffusion Models for Vessel Centerline Extraction from 3D CT Images
   Soichi Mita, Shumpei Takezaki, and Ryoma Bise · IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026.
2. Hypernetwork-Based Adaptive Aggregation for Multimodal Multiple-Instance Learning in Predicting Coronary Calcium Debulking
   Kaito Shiku, Ichika Seo, Tetsuya Matoba, Rissei Hino, Yasuhiro Nakano, and Ryoma Bise · IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026.
3. Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection
   Junda Liao, Chu Zhou, Yuta Asano, Yushi Suzuki, Ryoma Bise, Nobuaki Imanishi, Kazuo Kishi, Sadakazu Aiso, and Imari Sato · International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.
4. Medical Image Alignment for Different Resolutions and Fields of View Using Contrastive Learning with Feature-Level Similarity
   Masashi Tahara, and Ryoma Bise · International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),2025
5. Guidance-base Diffusion Models for Improving Photoacoustic Image Quality
   Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano, Takayuki Yagi, and Ryoma Bise · The British Machine Vision Conference (BMVC), 2024. (accepted, acceptance rate:25.8% (264/1020) )
6. Unsupervised Deep Robust Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention
   T Asanomi, K Nishimura, H Song, J Hayashida, H Sekiguchi, T Yagi, I Sato, and R Bise · International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2022), 2022,(top conference in medial image analysis)
7. Unsupervised Body Hair Detection by Positive-Unlabeled Learning in Photoacoustic Image
   R Kikkawa, H Kajita, N Imanishi, S Aiso, R Bise · International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
8. SEMI-SUPERVISED LEARNING WITH STRUCTURED KNOWLEDGE FOR BODY HAIR DETECTION IN PHOTOACOUSTIC IMAGE
   R. Kikkawa, H. Sekiguchi, I. Tsuge, S. Saito and R. Bise · IEEE International Symposium on Biomedical Imaging (ISBI), 2019. (Oral)
9. Digital artery deformation on movement of the proximal interphalangeal joint
   S. Saito, R. Bise, et. al. · Journal of Hand Surgery(European Volume), doi:1753193418807833, 2019. (IF:2.648)
10. Light-sheet microscopy reveals site-specific 3-dimensional patterns of the cutaneous vasculature and pronounced rarefication in aged skin
    K. Kajiya, R. Bise, et. al. · Journal of Dermatological Science, 92(1), pp.3-5, 2018. (IF: 3.675)
11. Virtual Blood Vessels in Complex Background using Stereo X-ray Images
    Q. Chen, R. Bise, L. Gu, Y. Zheng, I. Sato, J.N. Hwang, N. Imanishi, and S. Aiso · ICCV Workshop, BioImage Computing, 2017
12. Vascular registration in Photoacoustic imaging by low-rank alignment via forground, background, and complement decomposition
    R. Bise, Y. Zheng, I. Sato, and M. Toi · International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2016), pp.362-334,2016, (top conference in medial image analysis, early acceptance < 1
13. 3D structure modeling of dense capillaries by multi-objects tracking
    R. Bise, I. Sato, K. Kajiya, and T. Yamashita · Proceedings of IEEE CVPR2016 Workshop: Computer Vision for Microscopy Analysis(CVMIA) pp.265-270, July. 2016
14. Tracing behavior of endothelial cells promotes vascular network formation
    N. Yasuda, H. Sekine, R. Bise, T. Okano, and T. Shimizu · Microvascular Research 105, pp.125-131, 2016. (Impact Factor(IF):2.300)

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