18 citations · 19 across the 5 of their papers we have counts for
6 papers
Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning
Evan Schwab, Gabriela Oana Cula, Kristopher Standish +4
Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by relapsing inflammation of the large intestine. The severity of UC is often represented by the Mayo…
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning
Evan Schwab, André Gooßen, Hrishikesh Deshpande +1
The automatic detection of critical findings in chest X-rays (CXR), such as pneumothorax, is important for assisting radiologists in their clinical workflow like triaging time-sens…
Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs
André Gooßen, Hrishikesh Deshpande, Tim Harder +5
Pneumothorax is a critical condition that requires timely communication and immediate action. In order to prevent significant morbidity or patient death, early detection is crucial…
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI
Evan Schwab, Benjamin D. Haeffele, René Vidal +1
Sparse dictionary learning is a popular method for representing signals as linear combinations of a few elements from a dictionary that is learned from the data. In the classical s…
(k,q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior
Evan Schwab, René Vidal, Nicolas Charon
Advanced diffusion magnetic resonance imaging (dMRI) techniques, like diffusion spectrum imaging (DSI) and high angular resolution diffusion imaging (HARDI), remain underutilized c…
Joint Spatial-Angular Sparse Coding for dMRI with Separable Dictionaries
Evan Schwab, René Vidal, Nicolas Charon
Diffusion MRI (dMRI) provides the ability to reconstruct neuronal fibers in the brain, , by measuring water diffusion along angular gradient directions in q-space…