Dinkar Juyal - RankMe

12 papers A* 1A 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows. CoRR Harshith Padigela, Chintan Shah, Dinkar Juyal
2024	—	`conf`	ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology. COMPAY@MICCAI Tan H. Nguyen, Dinkar Juyal, Jin Li, Aaditya Prakash, Shima Nofallah, Chintan Shah, Sai Chowdary Gullapally, Limin Yu, Michael Griffin, Anand Sampat, John Abel, Justin Lee, Amaro Taylor-Weiner
2024	J	`jnl`	Interpretability analysis on a pathology foundation model reveals biologically relevant embeddings across modalities. CoRR Nhat Le, Ciyue Shen, Chintan Shah, Blake Martin, Daniel Shenker, Harshith Padigela, Jennifer A. Hipp, Sean Grullon, John Abel, Harsha Pokkalla, Dinkar Juyal
2024	J	`jnl`	PLUTO: Pathology-Universal Transformer. CoRR 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
2024	A	`conf`	SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology. WACV Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner
2023	J	`jnl`	ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis. CoRR Tan H. Nguyen, Dinkar Juyal, Jin Li, Aaditya Prakash, Shima Nofallah, Chintan Shah, Sai Chowdary Gullapally, Michael Griffin, Anand Sampat, John Abel, Justin Lee, Amaro Taylor-Weiner
2023	J	`jnl`	SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology. CoRR Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner
2023	J	`jnl`	Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology. CoRR 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
2022	J	`jnl`	Additive MIL: Intrinsic Interpretability for Pathology. CoRR Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash
2022	A*	`conf`	Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology. NeurIPS Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash
2022	J	`jnl`	Rethinking Machine Learning Model Evaluation in Pathology. CoRR Syed Ashar Javed, Dinkar Juyal, Zahil Shanis, Shreya Chakraborty, Harsha Pokkalla, Aaditya Prakash
2022	J	`jnl`	Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts. CoRR Jin Li, Deepta Rajan, Chintan Shah, Dinkar Juyal, Shreya Chakraborty, Chandan Akiti, Filip Kos, Janani Iyer, Anand Sampat, Ali Behrooz