4 papers
What are You Looking at? Modality Contribution in Multimodal Medical Deep Learning
Christian Gapp, Elias Tappeiner, Martin Welk +3
Purpose High dimensional, multimodal data can nowadays be analyzed by huge deep neural networks with little effort. Several fusion methods for bringing together different modalitie…
XSRD-Net: EXplainable Stroke Relapse Detection
Christian Gapp, Elias Tappeiner, Martin Welk +8
Stroke is the second most frequent cause of death world wide with an annual mortality of around 5.5 million. Recurrence rates of stroke are between 5 and 25% in the first year. As…
Multimodal Medical Disease Classification with LLaMA II
Christian Gapp, Elias Tappeiner, Martin Welk +1
Medical patient data is always multimodal. Images, text, age, gender, histopathological data are only few examples for different modalities in this context. Processing and integrat…
Matrix-Valued LogSumExp Approximation for Colour Morphology
Marvin Kahra, Michael BreuÃ, Andreas Kleefeld +1
Mathematical morphology is a part of image processing that uses a window that moves across the image to change certain pixels according to certain operations. The concepts of supre…