Tianyu Han
@peterhan91
ML PhD at RWTH Aachen
Just hit 1,000 citations on Google Scholar! Feeling incredibly grateful for the support, collaborations, and communities that made this milestone possible. #Research scholar.google.com/citations?user…
I am very honored to receive this distinguished NIA award and give the annual lecture. It has been a long and enjoyable journey in aging research, with emphasis on AI in neuroimaging
How will large language models transform structured reporting in radiology and beyond? In our comprehensive review just published in @EurRadiology, we deeply dive into the past, present, and future of LLMs for radiology reporting. Read the article here: doi.org/10.1007/s00330…
Revealing a vulnerability in large language models (LLMs) used in medicine... By altering just 1.1% of the model's weights, incorrect medical information can be introduced without affecting performance in other areas. This finding highlights security concerns, emphasizing the…
Author thread alert!
🚨 New Paper Alert! 🚨 We've discovered a major vulnerability in medical large language models (LLMs): they're highly susceptible to targeted misinformation attacks. This could have serious implications for healthcare AI! @DanielTruhn @jnkath Full paper: doi.org/10.1038/s41746…
Online now: Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining dlvr.it/TDd4MN
Had a great time at #MICCAI2024 🇲🇦, giving an oral presentation in front of a large audience, doing a poster session with dozens of interested people, and connecting with amazing people in the field of medical imaging 🤩 See you at the next edition! 🇰🇷
Paper 🚨! With @jnkath and @DanielTruhn, we wrote about "Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pertaining" for @CellRepMed cell.com/cell-reports-m…
It is a great honor for me to be here, at the former epicenter of Psychiatry and Neuropathology(admiring the chairs of Craepelin, Alzheimer, Niessl, and many others), and one of the current epicenters of modern computational Psychiatry led by @koutsouleris