DJ
Dinkar Juyal
cs.CVcs.LGeess.IVpathologyArtificial IntelligencebiomarkersBiomarkers, TumorBreast NeoplasmsCancer-Associated Fibroblastscancer biology
On Valency
published · living versionsW_5yrdmwj8·v1 · currentpublished
Self-Credit: Credit Assignment for Long-Horizon Agentic RL via Intra-group Rescaling
with Fangcong Yin, Ming Yin, Tanvi Bhandarkar, Aashu Singh +5
1 version
Preprints & journals
17 papers in the corpus · 2021–2026Self-Credit: Credit Assignment for Long-Horizon Agentic RL via Intra-group Rescaling2610.28388v1 · Fangcong Yin, Ming Yin, Tanvi Bhandarkar et al.2026 · 0 citationsarXivon Valency
Examination of Pathologist-Artificial Intelligence Interactions and Their Impact on Pathologist Accuracy Using Artificial Intelligence-Assisted Scoring of Immunohistochemistry for Human Epidermal Growth Factor Receptor 2.42091132 · Shamshoian, John, Shanis, Zahil, Cabeen, Ryan et al.2026 · 0 citationsArchives of pathology & laboratory medicine. 2026
Spatial Mapping of Gene Signatures in Hematoxylin and Eosin-Stained Images: A Proof of Concept for Interpretable Predictions Using Additive Multiple Instance Learning.40222651 · Markey, Miles, Kim, Juhyun, Goldstein, Zvi et al.2025 · 8 citationsModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc. 2025;38(8):100772
Impact of a machine learning-powered algorithm on pathologist HER2 IHC scoring in breast cancer10.1101/2025.02.04.25321335v1 · Shamshoian, J., Shanis, Z., Cabeen, R. et al.2025 · 1 citationmedRxiv
ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows2502.00964v3 · Harshith Padigela, Chintan Shah, Dinkar Juyal2025 · 2 citationsarXiv
Spatial mapping of immunosuppressive cancer-associated fibroblast gene signatures in H&E-stained images using additive multiple instance learning10.1101/2024.08.12.607604v1 · Markey, M., Kim, J., Goldstein, Z. et al.2024 · 2 citationsbioRxiv
AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases.39112795 · Iyer, Janani S, Juyal, Dinkar, Le, Quang et al.2024 · 50 citationsNature medicine. 2024;30(10):2914-2923
Learning biologically relevant features in a pathology foundation model using sparse autoencoders2407.10785v3 · Nhat Minh Le, Ciyue Shen, Neel Patel et al.2024 · 0 citationsarXiv
PLUTO: Pathology-Universal Transformer2405.07905v1 · Dinkar Juyal, Harshith Padigela, Chintan Shah et al.2024 · 10 citationsarXiv
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology2306.04527v4 · Tan H. Nguyen, Dinkar Juyal, Jin Li et al.2023 · 1 citationarXiv
Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology2305.02401v1 · Sai Chowdary Gullapally, Yibo Zhang, Nitin Kumar Mittal et al.2023 · 5 citationsarXiv
AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials.37162870 · Iyer, Janani S, Pokkalla, Harsha, Biddle-Snead, Charles et al.2026 · 13 citationsmedRxiv : the preprint server for health sciences. 2023
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology2303.13405v2 · Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed et al.2023 · 18 citationsarXiv
Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts2211.07692v1 · Jin Li, Deepta Rajan, Chintan Shah et al.2022 · 1 citationarXiv
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology2206.01794v2 · Syed Ashar Javed, Dinkar Juyal, Harshith Padigela et al.2022 · 52 citationsarXiv
Rethinking Machine Learning Model Evaluation in Pathology2204.05205v3 · Syed Ashar Javed, Dinkar Juyal, Zahil Shanis et al.2022 · 7 citationsarXiv
A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis.34333790 · Bosch, Jaime, Chung, Chuhan, Carrasco-Zevallos, Oscar M et al.2022 · 65 citationsHepatology (Baltimore, Md.). 2021;74(6):3146-3160
Career total: 24 works. 17 are in this corpus.
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