Jingwei Zhang

Computer ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning”.

Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning

Medical Image Analysis(2023)10.1016/j.media.2023.103070

N/A

0DataRank · unranked

11 citations

Srijan Das, Jingwei Zhang, Rajarsi Gupta, Joel Saltz, Dimitris Samaras +2 more

Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

arXiv (Cornell University)(2023)10.48550/arxiv.2303.12214

N/A

0DataRank · unranked

0 citations

Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel Saltz, Maria Vakalopoulou +2 more

Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2309.06439

N/A

0DataRank · unranked

0 citations

Srijan Das, Jingwei Zhang, Rajarsi Gupta, Joel Saltz, Dimitris Samaras +2 more

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

PubMed(2024)10.1109/cvpr52733.2024.01067

N/A

0DataRank · unranked

13 citations

Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou +5 more