Sarthak Pati

MedicineComputer ScienceNeuroscience

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 1%percentile

17.8Author DataRank

Indexed papers

8in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 8 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.2986331

Top 5%

4.6DataRank

Top 5%149 citations

Jan Kybic, Ignacio Arganda‐Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander Khvostikov +24 more

Papers

Driven by 42 papers — median percentile 89. Top paper: “ANHIR: Automatic Non-Rigid Histological Image Registration Challenge”.

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.2986331

Top 5%

4.6DataRank

Top 5%149 citations

Jan Kybic, Ignacio Arganda‐Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander Khvostikov +24 more

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

Scientific Data(2022)10.1038/s41597-022-01560-7

Top 5%

4.1DataRank

Top 5%172 citations

Chiharu Sako, Hamed Akbari, Michel Bilello, Aristeidis Sotiras, Gaurav Shukla +27 more

Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1

Scientific Data(2022)10.1038/s41597-022-01555-4

Top 7%

3.4DataRank

Top 7%18 citations

Sarthak Pati, Megh Bhalerao, Siddhesh Thakur, Nariman Jahani, Vivian Belenky +7 more

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031

Top 9%

2.4DataRank

Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset

Medical Physics(2020)10.1002/mp.14556

Top 13%

1.6DataRank

Top 13%43 citations

Ruchika Verma, Hamed Akbari, Michel Bilello, Virginia Hill, Chiharu Sako +11 more

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Radiology(2020)10.1148/radiol.2020191145

N/A

1.2DataRank · unranked

3976 citations

Martin Vallières, Mahmoud A. Abdalah, Hugo J.W.L. Aerts, Vincent Andrearczyk, Aditya Apte +58 more

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

JCO Clinical Cancer Informatics(2020)10.1200/cci.19.00121

Top 19%

1.1DataRank

Top 19%41 citations

Hamed Akbari, Garima Shukla, Chaitra Badve, Jeffrey D. Rudie, Chiharu Sako +17 more

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

Scientific Reports(2020)10.1038/s41598-020-69250-1

N/A

1.1DataRank · unranked

1289 citations

Brandon Edwards, G. Anthony Reina, Jason Martin, Sarthak Pati, Aikaterini Kotrotsou +6 more

GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows

Communications Engineering(2023)10.1038/s44172-023-00066-3

N/A

1.0DataRank · unranked

36 citations

Siddhesh Thakur, İbrahim Ethem Hamamcı, Ujjwal Baid, Bhakti Baheti, Megh Bhalerao +37 more

Federated learning enables big data for rare cancer boundary detection

Nature Communications(2022)10.1038/s41467-022-33407-5

N/A

0.881DataRank · unranked

355 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina +95 more

Privacy preservation for federated learning in health care

Patterns(2024)10.1016/j.patter.2024.100974

N/A

0.767DataRank · unranked

165 citations

Sourav Kumar, A. Varma, Brandon Edwards, Charles Lu, Liangqiong Qu +10 more

OpenFL: the open federated learning library

Physics in Medicine and Biology(2022)10.1088/1361-6560/ac97d9

N/A

0.725DataRank · unranked

125 citations

Micah Sheller, Brandon Edwards, Sarthak Pati, Walter Riviera, Mansi Sharma +7 more

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research

Physics in Medicine and Biology(2022)10.1088/1361-6560/ac9449

N/A

0.578DataRank · unranked

46 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Patrick Foley, G. Anthony Reina +9 more

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice

The Lancet Oncology(2024)10.1016/s1470-2045(24)00315-2

N/A

0.515DataRank · unranked

30 citations

Philipp Kickingereder, Norbert Galldiks, Thomas C. Booth, Hugo J.W.L. Aerts, Wenya Linda Bi +21 more

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements

The Lancet Oncology(2024)10.1016/s1470-2045(24)00316-4

N/A

0.483DataRank · unranked

24 citations

Spyridon Bakas, Pallavi Tiwari, Janine Lupo, Evan Calabrese, Christos Davatzikos +21 more

Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments

Lecture notes in computer science(2022)10.1007/978-3-031-08999-2_12

N/A

0.312DataRank · unranked

7 citations

Sarthak Pati, Ravi Panchumarthy, Deepthi Karkada, Junwen Wu, Dmitry Kurtaev +4 more

Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18383

Top 54%

0.310DataRank

Top 54%5 citations

Abramova, Valeriia, Astaraki, Mehdi, Ferreira, Andre, Jiang, Zhifan, Cleveland, Mason C. +95 more

TMIC-60. BRATS-PATH: ASSESSING HETEROGENEOUS HISTOPATHOLOGIC REGIONS IN GLIOBLASTOMA

Neuro-Oncology(2024)10.1093/neuonc/noae165.1238

Top 60%

0.253DataRank

Top 60%1 citations

Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati +17 more

Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful?

arXiv (Cornell University)(2023)10.48550/arxiv.2306.03255

N/A

0.165DataRank · unranked

2 citations

Andrei A. Ivanov, John Chamberlin, David A. Hanauer, Candace L. Savonen, Mary J. Goldman +22 more

GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging

arXiv (Cornell University)(2024)10.48550/arxiv.2410.00173

N/A

0DataRank · unranked

0 citations

Szymon Mazurek, Spyridon Bakas, Sarthak Pati

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

Optimization of deep learning models for inference in low resource environments

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.110615

N/A

0DataRank · unranked

2 citations

Sarthak Pati, Junwen Wu, Ravi Panchumarthy, Deepthi Karkada, Alexander Kozlov +8 more

Informatics at the Frontier of Cancer Research

Cancer Research(2025)10.1158/0008-5472.can-24-2829

N/A

0DataRank · unranked

0 citations

Taxiarchis Botsis, Pablo G. Cámara, Lauren Ciotti, Lee Cooper, Jeremy Goecks +19 more

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature Communications(2023)10.1038/s41467-023-36188-7

N/A

0DataRank · unranked

5 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-han Wang, G. Anthony Reina +95 more

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

NeuroImage(2020)10.1016/j.neuroimage.2020.117081

N/A

0DataRank · unranked

84 citations

Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello +19 more

Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)

Neuro-Oncology Advances(2020)10.1093/noajnl/vdaa128

N/A

0DataRank · unranked

24 citations

Suyash Mohan, Spyridon Bakas, Chiharu Sako, Chaitra Badve, Sarthak Pati +16 more

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Lecture notes in computer science(2020)10.1007/978-3-030-46643-5_38

N/A

0DataRank · unranked

90 citations

Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo +20 more

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

Lecture notes in computer science(2020)10.1007/978-3-030-46640-4_6

N/A

0DataRank · unranked

29 citations

Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay N. Talbar +5 more

Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration

Applied Sciences(2021)10.3390/app11041892

N/A

0DataRank · unranked

28 citations

Sarthak Pati, Michael D. Feldman, MacLean P. Nasrallah, Paul A. Yushkevich, Spyridon Bakas +1 more

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging

Edinburgh Research Explorer (University of Edinburgh)(2021)10.48550/arxiv.2103.01006

N/A

0DataRank · unranked

10 citations

Siddhesh Thakur, Bhalerao, Megh, Ujjwal Baid, Bhakti Baheti, Megh Bhalerao +21 more

Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs

Applied Sciences(2021)10.3390/app11167488

N/A

0DataRank · unranked

6 citations

Ashish Singh, Spyridon Bakas, Sarthak Pati, Saima Rathore, Hamed Akbari +18 more

Robust Image Population Based Stain Color Normalization: How Many Reference Slides Are Enough?

IEEE Open Journal of Engineering in Medicine and Biology(2022)10.1109/ojemb.2023.3234443

N/A

0DataRank · unranked

10 citations

Caleb M. Grenko, Andrew A. Chen, Angela N. Viaene, MacLean D. Nasrallah, Sarthak Pati +8 more

Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG Architectures

Lecture notes in computer science(2022)10.1007/978-3-030-94907-5_6

N/A

0DataRank · unranked

15 citations

Sarthak Pati, Spyridon Bakas, Orhun Güley

Artificial-intelligence-driven volumetric breast density estimation with digital breast tomosynthesis in a racially diverse screening cohort.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.e13538

N/A

0DataRank · unranked

1 citations

Walter C. Mankowski, Sarthak Pati, Spyridon Bakas, Ari D. Brooks, Celine M. Vachon +4 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

Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis

Lecture notes in computer science(2023)10.1007/978-3-031-33842-7_6

N/A

0DataRank · unranked

8 citations

Sarthak Pati, Bjoern Menze, Spyridon Bakas, Bhakti Baheti

Why is the Winner the Best?

Amsterdam UMC (VU Amsterdam) - Institutional Repository(2023)10.1109/cvpr52729.2023.01911

N/A

0DataRank · unranked

6 citations

Andreas Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Thomas Adler +95 more

Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps

arXiv (Cornell University)(2023)10.48550/arxiv.2312.02608

N/A

0DataRank · unranked

2 citations

Hendrik Möller, Josef A. Buchner, Ezequiel de la Rosa, Ivan Ezhov, Marcel Rosier +16 more

Why is the winner the best?

arXiv (Cornell University)(2023)10.48550/arxiv.2303.17719

N/A

0DataRank · unranked

1 citations

Annika Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Tim Adler +95 more

Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study

Neuro-Oncology(2024)10.1093/neuonc/noae260

N/A

0DataRank · unranked

12 citations

Spyridon Bakas, Chiharu Sako, Anahita Fathi Kazerooni, Javier Villanueva-Meyer, José García +83 more

Best practices to evaluate the impact of biomedical research software—metric collection beyond citations

Bioinformatics(2024)10.1093/bioinformatics/btae469

N/A

0DataRank · unranked

6 citations

Andrei A. Ivanov, John Chamberlin, David A. Hanauer, Candace L. Savonen, M Goldman +22 more

Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning

(2024)10.1109/bigdata62323.2024.10825083

N/A

0DataRank · unranked

1 citations

Sarthak Pati, Tahsin Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra +4 more

Sarthak Pati

Indexed papers

Top data-sharing exemplar

Papers