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2020 – today
- 2024
[i3]Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Markey, Isaac Finberg, Kelsey Luu, Daniel Borders, Syed Ashar Javed, Emma Krause, Raymond Biju, Aashish Sood, Allen Ma, Jackson Nyman, John Shamshoian, Guillaume Chhor, Darpan Sanghavi, Marc Thibault, Limin Yu, Fedaa Najdawi, Jennifer A. Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Pokkalla, Andrew H. Beck, Sean Grullon:
PLUTO: Pathology-Universal Transformer. CoRR abs/2405.07905 (2024)- 2023
- [i2]Sai Chowdary Gullapally, Yibo Zhang, Nitin Kumar Mittal, Deeksha Kartik, Sandhya Srinivasan, Kevin Rose, Daniel Shenker, Dinkar Juyal, Harshith Padigela, Raymond Biju, Victor Minden, Chirag Maheshwari, Marc Thibault, Zvi Goldstein, Luke Novak, Nidhi Chandra, Justin Lee, Aaditya Prakash, Chintan Shah, John Abel, Darren Fahy, Amaro Taylor-Weiner, Anand Sampat:
Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology. CoRR abs/2305.02401 (2023)
2010 – 2019
- 2018
- [c1]Alexandre Momeni, Marc Thibault, Olivier Gevaert:
Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data. BrainLes@MICCAI (1) 2018: 407-415 - [i1]Vincent Billaut, Matthieu de Rochemonteix, Marc Thibault:
ColorUNet: A convolutional classification approach to colorization. CoRR abs/1811.03120 (2018)
Coauthor Index
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