Andre Schulze
Dresden, SN, Germany
Last Updated: 09/26/2026
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Found 9 publications
Stream-based active learning for surgical AI.
Journal: International journal of computer assisted radiology and surgery
Published: February 23, 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
AutoFRS: an externally validated, annotation-free approach to computational preoperative complication risk stratification in pancreatic surgery - an experimental study.
Journal: International journal of surgery (London, England)
Published: November 06, 2024
The digital operating room : Chances and risks of artificial intelligence
Journal: Chirurgie (Heidelberg, Germany)
Published: February 07, 2024
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
Machine learning for optimized individual survival prediction in resectable upper gastrointestinal cancer.
Journal: Journal of cancer research and clinical oncology
Published: February 01, 2022
Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow.
Journal: Micromachines
Published: April 24, 2019
Showing 1-9 of 9
Last Updated: 09/26/2026