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2020 – today
- 2023
[c8]Geetank Raipuria, Aman Srivastava, Nitin Singhal:
TransEM-Net: Transformer Based Efficient Multi-Magnification Network for Histopathology. ISBI 2023: 1-4- [c7]Aashay Tinaikar, Geetank Raipuria, Nitin Singhal:
Prototype Governed Contrastive Learning for Robust Image Classification in Histopathology. ISBI 2023: 1-5 - 2022
- [c6]Indranil Ray, Geetank Raipuria, Nitin Singhal:
Rethinking ImageNet Pre-training for Computational Histopathology. EMBC 2022: 3059-3062 - [c5]Nilanjan Chattopadhyay, Geetank Raipuria, Nitin Singhal:
Self-Ensemble Distillation Using Mean Teachers with Long & Short Memory. ISBI 2022: 1-4 - [c4]Geetank Raipuria, Anu Shrivastava, Nitin Singhal:
Stain-AgLr: Stain Agnostic Learning for Computational Histopathology Using Domain Consistency and Stain Regeneration Loss. DART@MICCAI 2022: 33-44 - 2021
- [c3]Pranab Samanta, Geetank Raipuria, Nitin Singhal:
Context Aggregation Network For Semantic Labeling In Histopathology Images. ISBI 2021: 673-676 - 2020
- [c2]Geetank Raipuria, Saikiran Bonthu, Nitin Singhal:
Noise Robust Training of Segmentation Model Using Knowledge Distillation. ICPR Workshops (1) 2020: 97-104
2010 – 2019
- 2018
- [c1]Geetank Raipuria, Floris Gaisser, Pieter P. Jonker:
Road Infrastructure Indicators for Trajectory Prediction. Intelligent Vehicles Symposium 2018: 537-543
Coauthor Index
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