Michael Moor
Assistant Professor (Tenure Track)
Develops medical AI, including multimodal foundation models and language-model agents for clinical decision support.
Michael Moor's lab at ETH Zurich works on medical imaging & healthcare AI, vision-language & multimodal and generative & foundation models. 9 papers since 2023, 5 at top venues, mostly NeurIPS and Findings of EMNLP. 6 PhD students and 3 master's students. 5 alumni.
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 56%
- PhD students
- 6
- MS students
- 3
- alumni listed
- 5
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 3
- 0 papers2024 · T1 0
- 3 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, Findings of EMNLP, EMNLP, ICLR, npj Digit. Medicine
Research focuspaper titles that use each topic's words
- Vision-language & multimodal5 papers
- Medical imaging & healthcare AI4 papers
- Generative & foundation models1 paper
- biosystems0 papers
- biosystems science0 papers
Paper list
From DBLP.
20262 papers
20254 papers
- Findings of EMNLPAgent Laboratory: Using LLM Agents as Research Assistants (opens in a new tab)
- EMNLP (T1)Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards (opens in a new tab)
- NeurIPS (T1)MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology (opens in a new tab)
- NeurIPS (T1)SMMILE: An expert-driven benchmark for multimodal medical in-context learning (opens in a new tab)
Where alumni went5 listed
Apply to ETH ZurichRolling
Not announced yet
Computer Science Doctorate (D-INFK)
- Round
- Rolling (no deadline)
- Opens
- —
- GRE
- See program page
- English
- Proficiency in written and spoken English
- Fee
- See program page
Confirmed on the program page.
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