🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Pulakesh Upadhyaya

Singapore Institute of Technology

ORCID: 0000-0003-1054-1380
MedicineComputer Science

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 9 papers. Top paper: “Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark”.

Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104256
N/A
0.505DataRank · unranked
28 citations

Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim, Yaobin Ling

Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine

JMIR Medical Informatics(2022)10.2196/38266
N/A
0DataRank · unranked
18 citations

Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim, Pulakesh Upadhyaya

ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports

BMC Medical Informatics and Decision Making(2023)10.1186/s12911-023-02369-z
N/A
0DataRank · unranked
4 citations

Joao Souza de Vale, Saransh Gupta, Pulakesh Upadhyaya, Felipe Lisboa, Seth Schobel +5 more

Lung Grounded-SAM (LuGSAM): A Novel Framework for Integrating Text prompts to Segment Anything Model (SAM) for Segmentation Tasks of ICU Chest X-Rays

Figshare(2023)10.36227/techrxiv.24224761.v1
N/A
0DataRank · unranked
4 citations

R. Sridhar, Pulakesh Upadhyaya, Rishikesan Kamaleswaran, Dhanush Babu Ramesh

Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer’s Disease Using Deep Learning

PubMed(2023)10.1109/ichi57859.2023.00018
N/A
0DataRank · unranked
2 citations

Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang, Pulakesh Upadhyaya

Lung Grounded-SAM (LuGSAM): A Novel Framework for Integrating Text prompts to Segment Anything Model (SAM) for Segmentation Tasks of ICU Chest X-Rays

(2023)10.36227/techrxiv.24224761
N/A
0DataRank · unranked
1 citations

R. Sridhar, Pulakesh Upadhyaya, Rishikesan Kamaleswaran, Dhanush Babu Ramesh

Derivation and validation of generalized sepsis-induced acute respiratory failure phenotypes among critically ill patients: a retrospective study

Critical Care(2024)10.1186/s13054-024-05061-4
N/A
0DataRank · unranked
14 citations

Pulakesh Upadhyaya, Carolyn Davis, Philip Yang, Simon Tallowin, Felipe Lisboa +7 more

Derivation and Validation of Generalized Sepsis-induced Acute Respiratory Failure Phenotypes Among Critically Ill Patients: A Retrospective Study

Research Square(2024)10.21203/rs.3.rs-4307475/v1
N/A
0DataRank · unranked
2 citations

Pulakesh Upadhyaya, Carolyn Davis, Philip Yang, Simon Tallowin, Felipe Lisboa +7 more

LuGSAM: a novel framework for integrating text prompts to Segment Anything Model (SAM) for segmentation tasks of ICU chest x-rays

Multimedia Tools and Applications(2025)10.1007/s11042-025-21094-5
N/A
0DataRank · unranked
2 citations

R. Sridhar, Pulakesh Upadhyaya, Rishikesan Kamaleswaran, R Dhanush Babu