Computer Science - Artificial Intelligence

Tumor likelihood estimation on MRI prostate data by utilizing k-Space information

M. Rempe, F. Hörst, C. Seibold, B. Hadaschik, M. Schlimbach, J. Egger, K. Kröninger, F. Breuer, M. Blaimer, J. Kleesiek

Tumor likelihood estimation on MRI prostate data by utilizing k-Space information

CLUE: A Clinical Language Understanding Evaluation for LLMs

Amin Dada, Marie Bauer, Amanda Butler Contreras, Osman Alperen Koraş, Constantin Marc Seibold, Kaleb E. Smith, Jens Kleesiek

CLUE: A Clinical Language Understanding Evaluation for LLMs

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks

Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks

Apple Vision Pro for Healthcare: \"The Ultimate Display\"?

Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi

$Apple Vision Pro for Healthcare: \"The Ultimate Display\"?$

'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient

Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek

'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient

Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation

Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen

Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation

A Relational-learning Perspective to Multi-label Chest X-ray Classification

Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone

A Relational-learning Perspective to Multi-label Chest X-ray Classification