8 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
4 papers
AktivTalk: Digitizing the Talk Test for Voice-Based Exercise Intensity Self-Assessment and Exploring Automated Classification from Speech
Rania Islambouli, Laura Geiger, Daniela Wurhofer +3
Monitoring exercise intensity is critical for safe and effective physical activity, particularly for individuals with cardiovascular disease, where overexertion can pose serious ri…
Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL
Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad +3
Deploying large language models (LLMs) on edge devices is challenging due to their limited memory and power resources. Cloud-only inference reduces device burden but introduces hig…
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…
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images
Matthias Schwab, Mathias Pamminger, Christian Kremser +3
Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) imaging is considered the in vivo reference standard for assessing infarct size (IS) and microvascular obstructio…