Area of research
Surgery · Oncology
Research interest
Research interests include Surgical Simulation and Training, Minimally Invasive Surgical Techniques, Pancreatic and Hepatic Oncology Research, and Bariatric Surgery and Outcomes.
Impact of postoperative complications on clinical outcomes after gastrectomy for cancer: multicentre study
International Reference Values for Surgical Outcomes of Total Pancreatectomy
Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science
Interdisciplinary evidence-based tumor board simulation training in surgical medical education
Metrics reloaded: recommendations for image analysis validation
Understanding metric-related pitfalls in image analysis validation
Defining benchmarks for total and distal gastrectomy: global multicentre analysis
The PAncreatic Surgery Composite Endpoint (PACE)
Spectral characterization of intraoperative renal perfusion using hyperspectral imaging and artificial intelligence
Competency, Proficiency, and Mastery
Structured feedback and operative video debriefing with critical view of safety annotation in training of laparoscopic cholecystectomy: a randomized controlled study
A surgical activity model of laparoscopic cholecystectomy for co-operation with collaborative robots
Aliado - A design concept of AI for decision support in oncological liver surgery
Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas
Modifiziertes Delphi-Verfahren zur Konsensfindung für die Konzeption eines bundesweiten Curriculums für minimalinvasive und roboterassistierte Chirurgie in Deutschland (GeRMIQ)
Crystalloid volume versus catecholamines for management of hemorrhagic shock during esophagectomy: assessment of microcirculatory tissue oxygenation of the gastric conduit in a porcine model using hyperspectral imaging – an experimental study
Test-time augmentation with synthetic data addresses distribution shifts in spectral imaging
European Association for Endoscopic Surgery (EAES) consensus on Indocyanine Green (ICG) fluorescence-guided surgery
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
HeiPorSPECTRAL - the Heidelberg Porcine HyperSPECTRAL Imaging Dataset of 20 Physiological Organs
Endothelial Notch1 signaling in white adipose tissue promotes cancer cachexia
Telestration with augmented reality improves surgical performance through gaze guidance
Understanding metric-related pitfalls in image analysis validation
Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy
Laparoscopic but not open surgical skills can be transferred to robot‐assisted surgery: A systematic review and meta‐analysis
Development of biotissue training models for anastomotic suturing in pancreatic surgery
Video-based training of situation awareness enhances minimally invasive surgical performance: a randomized controlled trial
Initial learning curves of laparoscopic and robotic distal pancreatectomy compared with open distal pancreatectomy: multicentre analysis
Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts
An international Delphi consensus for surgical quality assessment of lymphadenectomy and anastomosis in minimally invasive total gastrectomy for gastric cancer
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