1 citations · 2 across the 5 of their papers we have counts for
5 papers
Multimodal Graph-based Classification of Esophageal Motility Disorders
Alexander Geiger, Lars Wagner, Daniel Rueckert +3
Diagnosing esophageal motility disorders pose significant challenges due to the complexity of high-resolution impedance manometry (HRIM) data and variability in clinical interpreta…
Attachment Anchors: A Novel Framework for Laparoscopic Grasping Point Prediction in Colorectal Surgery
Dennis N. Schneider, Lars Wagner, Daniel Rueckert +1
Accurate grasping point prediction is a key challenge for autonomous tissue manipulation in minimally invasive surgery, particularly in complex and variable procedures such as colo…
On the notion of missingness for path attribution explainability methods in medical settings: Guiding the selection of medically meaningful baselines
Alexander Geiger, Lars Wagner, Daniel Rueckert +2
The explainability of deep learning models remains a significant challenge, particularly in the medical domain where interpretable outputs are essential for clinical trust and tran…
Detecting and clustering swallow events in esophageal long-term high-resolution manometry
Alexander Geiger, Lars Wagner, Daniel Rueckert +2
High-resolution manometry (HRM) is the gold standard in diagnosing esophageal motility disorders. As HRM is typically conducted under short-term laboratory settings, intermittently…
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation
Robert Mendel, Tobias Rueckert, Dirk Wilhelm +2
Real-time computational speed and a high degree of precision are requirements for computer-assisted interventions. Applying a segmentation network to a medical video processing tas…