Ankush Jindal

Also affiliated with Johns Hopkins Medicine

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 3 papers. Top paper: “FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images”.

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Lecture notes in computer science(2024)10.1007/978-3-031-72390-2_51

N/A

0DataRank · unranked

25 citations

Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal, David Dreizin +2 more

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

arXiv (Cornell University)(2024)10.48550/arxiv.2403.09827

N/A

0DataRank · unranked

0 citations

Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal, David Dreizin +2 more

Artificial intelligence for abdominopelvic trauma imaging: trends, gaps, and future directions

Abdominal Radiology(2025)10.1007/s00261-025-04816-z

N/A

0DataRank · unranked

2 citations

Chi‐Tung Cheng, Chien‐Hung Liao, Ankush Jindal, Errol Colak, David Dreizin