Ujjwal Baid

ORCID: 0000-0001-5246-2088

Biochemistry, Genetics and Molecular BiologyMedicine

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

11.5Author DataRank

Indexed papers

10in 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 10 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.

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

Radiology Artificial Intelligence(2022)10.1148/ryai.220058

Top 5%

4.2DataRank

Top 5%145 citations

Javier Villanueva-Meyer, Jeffrey D. Rudie, Andreas M. Rauschecker, Ujjwal Baid, Spyridon Bakas +4 more

Papers

Driven by 31 papers — median percentile 53. Top paper: “The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset”.

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

Radiology Artificial Intelligence(2022)10.1148/ryai.220058

Top 5%

4.2DataRank

Top 5%145 citations

Javier Villanueva-Meyer, Jeffrey D. Rudie, Andreas M. Rauschecker, Ujjwal Baid, Spyridon Bakas +4 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

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

A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information

Scientific Data(2024)10.1038/s41597-024-03021-9

Top 21%

0.980DataRank

Top 21%25 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 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

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation

Scientific Data(2024)10.1038/s41597-024-03350-9

Top 29%

0.692DataRank

Top 29%19 citations

Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid +69 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

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma

arXiv (Cornell University)(2023)10.48550/arxiv.2305.07642

N/A

0.494DataRank · unranked

26 citations

Maruf Adewole, Michelle Alonso‐Basanta, Talissa A. Altes, Syed Muhammad Anwar, Ujjwal Baid +55 more

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Neuroradiology(2023)10.1007/s00234-023-03196-9

N/A

0.489DataRank · unranked

25 citations

Sohil H. Patel, Suyash Mohan, Hamed Akbari, Spyridon Bakas, MacLean P. Nasrallah +79 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

MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3718904

Top 44%

0.420DataRank

Top 44%4 citations

Bjoern Menze, Christos Davatzikos, Jayashree Kalpathy–Cramer, Keyvan Farahani, Michel Bilello +18 more

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

The Journal of Machine Learning for Biomedical Imaging(2025)10.59275/j.melba.2025-9bd3

Top 49%

0.361DataRank

Top 49%7 citations

Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Nader A. Fawzy +95 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

A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information

arXiv (Cornell University)(2023)10.48550/arxiv.2309.05053

Top 65%

0.195DataRank

Top 65%2 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 more

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level

arXiv (Cornell University)(2025)10.48550/arxiv.2502.07288

Top 100%

0DataRank

Top 100%0 citations

Tianyuan Yao, Yucheng Tang, Junlin Guo, Siqi Lu, Juming Xiong +42 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

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

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

0DataRank · unranked

53 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

Generative adversarial networks based skin lesion segmentation

Scientific Reports(2023)10.1038/s41598-023-39648-8

N/A

0DataRank · unranked

37 citations

Prasad Dutande, Ujjwal Baid, Venu Pokuri, Spyridon Bakas, Sanjay N. Talbar +3 more

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

arXiv (Cornell University)(2023)10.48550/arxiv.2305.09011

N/A

0DataRank · unranked

12 citations

Gian Marco Conte, Hu, Qingqiao, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov +60 more

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

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

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

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

arXiv (Cornell University)(2024)10.48550/arxiv.2404.15009

N/A

0DataRank · unranked

7 citations

Nastaran Khalili, Xinyang Liu, Deep Gandhi, Zhifan Jiang, Syed Muhammed Anwar +66 more

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18435

N/A

0DataRank · unranked

5 citations

Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler +75 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

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

Ujjwal Baid

Indexed papers

Top data-sharing exemplar

Papers