Type inference on wikipedia list pages. - Patrick Kuhn; Sven Mischkewitz; Nico Ring; Fabian Windheuser (GI-Jahrestagung, 2016)

AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. - Ryutaro Tanno; Antonios Makropoulos; Salim Arslan; Ozan Oktay; Sven Mischkewitz; Fouad Al-Noor; Jonas Oppenheimer; Ramin Mandegaran; Bernhard Kainz; Mattias P. Heinrich (MICCAI (2), 2018)

Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning. - Bernhard Kainz; Mattias P. Heinrich; Antonios Makropoulos; Jonas Oppenheimer; Ramin Mandegaran; Shrinivasan Sankar; Christopher Deane; Sven Mischkewitz; Fouad Al-Noor; Andrew C. Rawdin; Andreas Ruttloff; Matthew D. Stevenson; et al. (npj Digit. Medicine, 2021)

Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data - Improving Usability of AI-based Image Guidance. - Laura Graf 001; Sven Mischkewitz; Lasse Hansen; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2022)

Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation. - Till Nicke; Laura Graf 001; Mikko Lauri; Sven Mischkewitz; Simone Frintrop; Mattias P. Heinrich (WBIR, 2022)

Highly accurate deep registration networks for large deformation estimation in compression ultrasound. - Laura F. Graf; Hanna Siebert; Sven Mischkewitz; Ron Keuth; Mattias P. Heinrich (Image Processing, 2023)

Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation. - Mattias P. Heinrich; Hanna Siebert; Laura Graf 001; Sven Mischkewitz; Lasse Hansen (Sensors, 2023)

Value of clinical review for AI-guided deep vein thrombosis diagnosis with ultrasound imaging by non-expert operators. - Giancarlo Speranza; Sven Mischkewitz; Fouad Al-Noor; Bernhard Kainz (npj Digit. Medicine, 2025)