5 papers
Towards Visually Explaining Statistical Tests with Applications in Biomedical Imaging
Masoumeh Javanbakhat, Piotr Komorowski, Dilyara Bareeva +3
Deep neural two-sample tests have recently shown strong power for detecting distributional differences between groups, yet their black-box nature limits interpretability and practi…
AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation
Anees Ur Rehman Hashmi, Numan Saeed, Christoph Lippert
Multimodal medical large language models have shown substantial progress in chest X-ray interpretation but continue to face challenges in spatial reasoning and anatomical understan…
Automated Demand Forecasting in small to medium-sized enterprises
Thomas Gaertner, Christoph Lippert, Stefan Konigorski
In response to the growing demand for accurate demand forecasts, this research proposes a generalized automated sales forecasting pipeline tailored for small- to medium-sized enter…
Deep Nonparametric Conditional Independence Tests for Images
Marco Simnacher, Xiangnan Xu, Hani Park +2
Conditional independence tests (CITs) test for conditional dependence between random variables. As existing CITs are limited in their applicability to complex, high-dimensional var…
LMM-Lasso: A Lasso Multi-Marker Mixed Model for Association Mapping with Population Structure Correction
Barbara Rakitsch, Christoph Lippert, Oliver Stegle +1
Exploring the genetic basis of heritable traits remains one of the central challenges in biomedical research. In simple cases, single polymorphic loci explain a significant fractio…