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ORCIDKazuya Nishimura
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2020 – today
- 2026
[c20]Kaito Shiku, Kazuya Nishimura, Shinnosuke Matsuo, Yasuhiro Kojima
, Ryoma Bise:
Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection. AAAI 2026: 9015-9023- [c19]Masashi Tahara, Kazuya Nishimura, Shumpei Takezaki, Ryoma Bise:
Bridging the Density GAP: Diffusion Model for Stepwise Generation of Dense Cell Images from Sparse Data. ISBI 2026: 1-5 - [i18]Kazuya Nishimura, Ryoma Bise, Shinnosuke Matsuo, Haruka Hirose, Yasuhiro Kojima:
Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images. CoRR abs/2603.18461 (2026) - [i17]Yukinori Yamamoto, Kazuya Nishimura, Tsukasa Fukusato, Hirokazu Nosato, Tetsuya Ogata, Hirokatsu Kataoka:
FDIF: Formula-Driven supervised Learning with Implicit Functions for 3D Medical Image Segmentation. CoRR abs/2603.23199 (2026) - [i16]Kazuya Nishimura, Ryoma Bise, Haruka Hirose, Yasuhiro Kojima:
Leveraging Spatial Transcriptomics as Alternative to Manual Annotations for Deep Learning-Based Nuclei Analysis. CoRR abs/2604.23481 (2026) - [i15]Kaito Shiku, Ahtisham Fazeel Abbasi, Ryoma Bise, Yuichiro Iwashita, Kazuya Nishimura, Andreas Dengel, Muhammad Nabeel Asim:
GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomics. CoRR abs/2606.02424 (2026) - 2025
- [c18]Kazuya Nishimura, Ryoma Bise, Yasuhiro Kojima:
Towards Spatial Transcriptomics-Guided Pathological Image Recognition with Batch-Agnostic Encoder. ISBI 2025: 1-5 - [c17]Kazuya Nishimura, Haruka Hirose, Ryoma Bise, Kaito Shiku, Yasuhiro Kojima:
Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics. NeurIPS 2025 - [c16]Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, Ryoma Bise:
Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer. WACV 2025: 4290-4299 - [i14]Kazuya Nishimura, Ryoma Bise, Yasuhiro Kojima:
Towards Spatial Transcriptomics-guided Pathological Image Recognition with Batch-Agnostic Encoder. CoRR abs/2503.07173 (2025) - [i13]Kaito Shiku, Kazuya Nishimura, Shinnosuke Matsuo, Yasuhiro Kojima, Ryoma Bise:
Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection. CoRR abs/2511.18336 (2025) - [i12]Kazuya Nishimura, Haruka Hirose, Ryoma Bise, Kaito Shiku, Yasuhiro Kojima:
Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics. CoRR abs/2512.06612 (2025) - 2024
- [j4]So Kamada, Kazuya Nishimura:
Integration of Multiple Sensors into an ROV for Remote Measurement in the Fukushima Daiichi Nuclear Power Station. J. Robotics Mechatronics 36(1): 71-78 (2024) - [c15]Kazuya Nishimura, Kuniaki Saito, Tosho Hirasawa, Yoshitaka Ushiku:
Toward Related Work Generation with Structure and Novelty Statement. SDP@ACL 2024: 38-57 - [i11]Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Proportion Estimation by Masked Learning from Label Proportion. CoRR abs/2405.04815 (2024) - [i10]Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, Ryoma Bise:
Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer. CoRR abs/2411.14750 (2024) - 2023
- [c14]Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Proportion Estimation by Masked Learning from Label Proportion. DALI@MICCAI 2023: 117-126 - [c13]Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, Ryoma Bise:
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping. MICCAI (8) 2023: 483-492 - [c12]Takanori Asanomi, Kazuya Nishimura, Ryoma Bise:
Multi-Frame Attention with Feature-Level Warping for Drone Crowd Tracking. WACV 2023: 1664-1673 - [c11]Kazuya Nishimura, Ryoma Bise:
Weakly Supervised Cell-Instance Segmentation with Two Types of Weak Labels by Single Instance Pasting. WACV 2023: 3184-3193 - [i9]Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise:
Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell Detection. CoRR abs/2303.05269 (2023) - [i8]Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, Ryoma Bise:
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping. CoRR abs/2307.04113 (2023) - 2022
- [j3]Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise:
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection. Medical Image Anal. 79: 102436 (2022) - [c10]Takanori Asanomi, Kazuya Nishimura, Heon Song, Junya Hayashida, Hiroyuki Sekiguchi, Takayuki Yagi, Imari Sato, Ryoma Bise:
Unsupervised Deep Non-rigid Alignment by Low-Rank Loss and Multi-input Attention. MICCAI (6) 2022: 185-195 - [c9]Junya Hayashida, Kazuya Nishimura, Ryoma Bise:
Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping Loss. WACV 2022: 1759-1768 - 2021
- [j2]Kazuya Nishimura, Chenyang Wang, Kazuhide Watanabe, Dai Fei Elmer Ker, Ryoma Bise:
Weakly supervised cell instance segmentation under various conditions. Medical Image Anal. 73: 102182 (2021) - [c8]Kazuya Nishimura, Hyeonwoo Cho, Ryoma Bise:
Semi-supervised Cell Detection in Time-Lapse Images Using Temporal Consistency. MICCAI (8) 2021: 373-383 - [c7]Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise:
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap. MICCAI (8) 2021: 384-394 - [c6]Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise:
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. MICCAI (8) 2021: 425-434 - [i7]Kazuya Nishimura, Hyeonwoo Cho, Ryoma Bise:
Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency. CoRR abs/2107.08639 (2021) - [i6]Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise:
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap. CoRR abs/2107.08653 (2021) - [i5]Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise:
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. CoRR abs/2107.09289 (2021) - 2020
- [c5]Junya Hayashida, Kazuya Nishimura, Ryoma Bise:
MPM: Joint Representation of Motion and Position Map for Cell Tracking. CVPR 2020: 3822-3831 - [c4]Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise:
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation. ECCV (12) 2020: 104-121 - [c3]Kazuya Nishimura, Ryoma Bise:
Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN. EMBC 2020: 1811-1815 - [i4]Junya Hayashida, Kazuya Nishimura, Ryoma Bise:
MPM: Joint Representation of Motion and Position Map for Cell Tracking. CoRR abs/2002.10749 (2020) - [i3]Kazuya Nishimura, Ryoma Bise:
Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN. CoRR abs/2004.12531 (2020) - [i2]Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise:
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation. CoRR abs/2007.15258 (2020)
2010 – 2019
- 2019
- [j1]Matthew Nancekievill, Jose Espinosa, Simon Watson, Barry Lennox, Ashley Jones, Malcolm John Joyce, Jun-ichi Katakura, Keisuke Okumura, So Kamada, Michio Katoh, Kazuya Nishimura:
Detection of Simulated Fukushima Daichii Fuel Debris Using a Remotely Operated Vehicle at the Naraha Test Facility. Sensors 19(20): 4602 (2019) - [c2]Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise:
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response. MICCAI (1) 2019: 649-657 - [i1]Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise:
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response. CoRR abs/1911.13077 (2019) - 2016
- [c1]Salman Ahmed Shaikh, Dong Chao, Kazuya Nishimura, Hiroyuki Kitagawa:
Incremental Continuous Query Processing over Streams and Relations with Isolation Guarantees. DEXA (1) 2016: 321-335
Coauthor Index
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