LabCompass

Ujjwal Baid

Medicine · Indiana University

Publications

147

Citations

2,378

Est. group size

Recurring co-author estimate

Active years

12

Publishing since 2015

Research summary
AI-generated

Ujjwal Baid works on applying artificial intelligence and machine learning to medical imaging, with a strong focus on automatically detecting and outlining brain tumors in MRI scans. Much of the work involves organizing and analyzing large public benchmark challenges (such as BraTS) that let researchers compare tumor-segmentation algorithms, including efforts to include underrepresented patient populations and to train models across hospitals without sharing raw data (federated learning). Related projects extend these methods to other cancers and to traumatic brain injury.

Brain tumor segmentation from MRIAI/machine learning in medical imagingBenchmark challenges and fair model evaluationFederated learning for healthcare dataAI in cancer detection and prognosis

Publication activity grew sharply from around 2020 and has remained high, averaging roughly 18 papers per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 18.0/year recently
2017: 4 publications17182019: 2 publications192020: 7 publications202021: 21 publications212022: 15 publications222023: 24 publications24232024: 22 publications242025: 17 publications252026: 12 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×35
  • Neuro-Oncology×16
  • Lecture notes in computer science×6
  • PubMed×6
  • Zenodo (CERN European Organization for Nuclear Research)×6

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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