Pushpak Pati

According to our database1, Pushpak Pati authored at least 9 papers between 2017 and 2020.

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Bibliography

2020
Towards Explainable Graph Representations in Digital Pathology.
CoRR, 2020

NINEPINS: Nuclei Instance Segmentation with Point Annotations.
CoRR, 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

Mitosis Detection Under Limited Annotation: A Joint Learning Approach.
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
Computational Immunohistochemistry: Recipes for Standardization of Immunostaining.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017


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