Kazuya Nishimura
Orcid: 0009-0006-1012-2169
According to our database1,
Kazuya Nishimura authored at least 26 papers
between 2016 and 2026.
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Bibliography
2026
Leveraging Spatial Transcriptomics as Alternative to Manual Annotations for Deep Learning-Based Nuclei Analysis.
CoRR, April, 2026
FDIF: Formula-Driven supervised Learning with Implicit Functions for 3D Medical Image Segmentation.
CoRR, March, 2026
Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images.
CoRR, March, 2026
Bridging the Density GAP: Diffusion Model for Stepwise Generation of Dense Cell Images from Sparse Data.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Towards Spatial Transcriptomics-Guided Pathological Image Recognition with Batch-Agnostic Encoder.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
Integration of Multiple Sensors into an ROV for Remote Measurement in the Fukushima Daiichi Nuclear Power Station.
J. Robotics Mechatronics, February, 2024
2023
Weakly Supervised Cell-Instance Segmentation with Two Types of Weak Labels by Single Instance Pasting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection.
Medical Image Anal., 2022
Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping Loss.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Medical Image Anal., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Detection of Simulated Fukushima Daichii Fuel Debris Using a Remotely Operated Vehicle at the Naraha Test Facility.
Sensors, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2016
Incremental Continuous Query Processing over Streams and Relations with Isolation Guarantees.
Proceedings of the Database and Expert Systems Applications, 2016