Pushpak Pati
Orcid: 0000-0003-2174-4255
According to our database1,
Pushpak Pati
authored at least 30 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, July, 2024
Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling.
Nat. Mac. Intell., 2024
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training.
CoRR, 2024
Hybrid Quantum-Classical Graph Neural Networks for Tumor Classification in Digital Pathology.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Coca-Mil: Attention-Based Handcrafted-Deep Feature Fusion in Computational Pathology.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Weakly supervised joint whole-slide segmentation and classification in prostate cancer.
Medical Image Anal., October, 2023
Medical Image Anal., October, 2023
Matching single cells across modalities with contrastive learning and optimal transport.
Briefings Bioinform., May, 2023
CoRR, 2023
2022
PhD thesis, 2022
Database J. Biol. Databases Curation, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks.
Medical Image Anal., 2021
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology.
CoRR, 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.
IEEE Trans. Biomed. Eng., 2019
A deep learning framework for context-aware mitotic activity estimation in whole slide images.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
2018
Deep positive-unlabeled learning for region of interest localization in breast tissue images.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017