4 papers
Whole-Body MRI Classification via Prompt-Based Clinical Conditioning
Laura Daza, Marta Hasny, Cristina González +1
Combining whole-body magnetic resonance imaging (WB-MRI) with clinical variables has the potential to improve systemic disease diagnosis by leveraging complementary sources of pati…
No Data? No Problem: Robust Vision-Tabular Learning with Missing Values
Marta Hasny, Laura Daza, Keno Bressem +2
Large-scale medical biobanks provide imaging data complemented by extensive tabular information, such as clinical measurements or demographics. However, this abundance of tabular a…
Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification
Josef Mayr, Anna Reithmeir, Maxime Di Folco +1
Covariance descriptors capture second-order statistics of image features. They have shown strong performance in general computer vision tasks, but remain underexplored in medical i…
Tables Guide Vision: Learning to See the Heart through Tabular Data
Marta Hasny, Maxime Di Folco, Keno Bressem +1
Contrastive learning methods in computer vision typically rely on augmented views of the same image or multimodal pretraining strategies that align paired modalities. However, thes…