Mahati Mokkarala

Also affiliated with Mallinckrodt (United States), Universitat de Barcelona

Medicine

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: “Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-Oncology (I3CR-WANO)”.

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-Oncology (I3CR-WANO)

JCO Clinical Cancer Informatics(2023)10.1200/cci.22.00177

N/A

0DataRank · unranked

9 citations

Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Divya Yadav +10 more

A generative-discriminative deep learning approach to classify radiology reports based on the presence of follow up recommendations

(2023)10.1117/12.2651950

N/A

0DataRank · unranked

1 citations

Xiaobing Yu, Aaron Mintz, Jieqi Wang, Mahati Mokkarala, Vamsi R. Narra +4 more

Deep learning-based end-to-end scan-type classification, pre-processing, and segmentation of clinical neuro-oncology studies

Revue du droit de l'Union européenne(2023)10.1117/12.2647656

N/A

0DataRank · unranked

0 citations

Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, M. Kelsey, Pamela LaMontagne +3 more

Preparing Radiologists for an Artificial Intelligence–enhanced Future: Tips for Trainees

Radiographics(2024)10.1148/rg.240042

N/A

0DataRank · unranked

4 citations

Jamie E. Clarke, Melina Hosseiny, Moozhan Nikpanah, Mahati Mokkarala, Pouria Rouzrokh

Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports

Radiology(2025)10.1148/radiol.242167

N/A

0DataRank · unranked

0 citations

Xiaobing Yu, Sung Min Ha, Abdalla Bani, Aaron Mintz, Jieqi Wang +11 more