3 papers
cs.CV2026
Bag-of-Visual-Words for Spatial Mapping of Lung Adenocarcinoma Growth Patterns
Darya Ardan, Valentin Oreiller, Henning Müller
Spatial mapping of lung adenocarcinoma (LUAD) growth patterns across whole slide images (WSIs) requires resolving architectural context at the region level, yet existing methods op…
eess.IV2025
Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction
Sina Raeisadigh, Myles Joshua Toledo Tan, Henning Müller +1
This study compares baseline (J0) and 24-hour (J1) diffusion magnetic resonance imaging (MRI) for predicting three-month functional outcomes after acute ischemic stroke (AIS). Seve…
cs.LG2025
TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection
Federico Del Pup, Riccardo Brun, Filippo Iotti +7
Electroencephalography (EEG) is establishing itself as an important, low-cost, noninvasive diagnostic tool for the early detection of Parkinson's Disease (PD). In this context, EEG…