45 citations · 45 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data
He Lyu, Huolin Zeng, Junren Wang +7
Real-world clinical data is inherently multimodal, providing complementary evidence that mirrors the practical necessity of jointly assessing multiple related outcomes. Although mu…
eess.AS2025
SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis
Lukas Buess, Jan Geier, David Bani-Harouni +6
Spoken communication plays a central role in clinical workflows. In radiology, for example, most reports are created through dictation. Yet, nearly all medical AI systems rely excl…
cs.AI2025★ 45 cited
From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine
Lukas Buess, Matthias Keicher, Nassir Navab +2
Generative artificial intelligence (AI) models, such as diffusion models and OpenAI's ChatGPT, are transforming medicine by enhancing diagnostic accuracy and automating clinical wo…