Sahil Nalawade

Indiana University – Purdue University Indianapolis

MedicineNeuroscienceComputer 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 10 papers. Top paper: “MRI-Based Deep-Learning Method for Determining Glioma MGMT Promoter Methylation Status”.

MRI-Based Deep-Learning Method for Determining Glioma MGMT Promoter Methylation Status

American Journal of Neuroradiology(2021)10.3174/ajnr.a7029

N/A

0.688DataRank · unranked

97 citations

Bhavya Shah, Sahil Nalawade, Gowtham Krishnan Murugesan, Fang Yu, Marco C. Pinho +7 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b

N/A

0.601DataRank · unranked

54 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

A Novel Fully Automated MRI-Based Deep Learning Method for Classification of 1P/19Q Co-Deletion Status in Brain Gliomas

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.07.15.204933

N/A

0.449DataRank · unranked

19 citations

Bhavya Shah, Frank Yu, Marco C. Pinho, Sahil Nalawade, Gowtham Krishnan Murugesan +7 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv (Cornell University)(2021)10.48550/arxiv.2112.10074

N/A

0DataRank · unranked

7 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

Federated benchmarking of medical artificial intelligence with MedPerf

Nature Machine Intelligence(2023)10.1038/s42256-023-00652-2

N/A

0DataRank · unranked

153 citations

Renato Umeton, Micah Sheller, Alejandro Aristizábal, Johnu George, Anna Wuest +69 more

Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas

Neuro-Oncology Advances(2023)10.1093/noajnl/vdac187

N/A

0DataRank · unranked

0 citations

Bhavya R Shah, Frank Yu, Marco C. Pinho, Sahil Nalawade, Gowtham Krishnan Murugesan +7 more

A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas

Neuro-Oncology Advances(2020)10.1093/noajnl/vdaa066

N/A

0DataRank · unranked

44 citations

Bhavya R Shah, Frank Yu, Marco C. Pinho, Sahil Nalawade, Gowtham Krishnan Murugesan +7 more

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Nature Communications(2025)10.1038/s41467-025-60466-1

N/A

0DataRank · unranked

11 citations

Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller +95 more

Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion Correction

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.01.126375

N/A

0DataRank · unranked

2 citations

Fang Yu, Chandan Ganesh Bangalore Yogananda, Gowtham Krishnan Murugesan, Bhavya Shah, Marco C. Pinho +7 more

MRI-BASED DEEP LEARNING METHOD FOR DETERMINING METHYLATION STATUS OF THE O 6 -METHYLGUANINE–DNA METHYLTRANSFERASE PROMOTER OUTPERFORMS TISSUE BASED METHODS IN BRAIN GLIOMAS

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.30.124230

N/A

0DataRank · unranked

0 citations

Bhavya Shah, Sahil Nalawade, Gowtham Krishnan Murugesan, Frank Yu, Marco C. Pinho +7 more