Lars Mundermann - Publications

Current validation practice undermines surgical AI development.

Journal: ArXiv

Published: May 04, 2026

Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning study.

Journal: European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology

Published: August 10, 2025

Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study.

Journal: Surgical endoscopy

Published: June 29, 2023

Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data.

Journal: Surgical endoscopy

Published: May 10, 2022

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.

Journal: Medical image analysis

Published: September 25, 2021

A Platform and Multisided Market for Translational, Software-Defined Medical Procedures in the Operating Room (OP 4.1): Proof-of-Concept Study.

Journal: JMIR medical informatics

Published: March 21, 2021

Surgical data science - from concepts toward clinical translation.

Journal: Medical image analysis

Published: November 10, 2020

Service-Oriented Medical Device Connectivity: Particular Standards for Endoscopic Surgery.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: October 06, 2020

Heidelberg colorectal data set for surgical data science in the sensor operating room.

Journal: Scientific data

Published: June 08, 2020

A novel endoimaging system for endoscopic 3D reconstruction in bladder cancer patients.

Journal: Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy

Published: June 04, 2020

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data.

Journal: International journal of computer assisted radiology and surgery

Published: January 30, 2019

Amplitude and phasing of trunk motion is critical for the efficacy of gait training aimed at reducing ambulatory loads at the knee.

Journal: Journal of biomechanical engineering

Published: April 10, 2012