Rajesh Venkataraman

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 5 papers. Top paper: “Comparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies”.

Comparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies

European Urology Oncology(2025)10.1016/j.euo.2025.01.005

N/A

0.241DataRank · unranked

4 citations

Roxana Esmaili, Ghazal Khajir, Tal Zeevi, Moritz Gross, Michael Leapman +13 more

Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology

IEEE Transactions on Biomedical Engineering(2023)10.1109/tbme.2023.3326799

N/A

0.104DataRank · unranked

1 citations

Michael Leapman, Preston C. Sprenkle, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey +1 more

Atlas-Based Semantic Segmentation of Prostate Zones

Lecture notes in computer science(2022)10.1007/978-3-031-16443-9_55

N/A

0DataRank · unranked

1 citations

Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey, Jiazhen Zhang

Integrating Prostate Specific Antigen Density Biomarker Into Deep Learning Prostate MRI Lesion Segmentation Models

PubMed(2023)10.1109/isbi53787.2023.10230418

N/A

0DataRank · unranked

0 citations

Lawrence H. Staib, Rajesh Venkataraman, John A. Onofrey, Jiayang Zhong

ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies

European Urology Oncology(2025)10.1016/j.euo.2024.12.012

N/A

0DataRank · unranked

5 citations

Hassan Jahanandish, Sulaiman Vesal, Cynthia Li, Indrani Bhattacharya, Rajesh Venkataraman +11 more