MAXIMILIAN HERBERT DRESSLER

막시밀리안 헤르베르트 드레슬러

State Examination in Medicine (Completed December 2025) · Dr. med. Candidate

maximilian.dressler@t-online.de +49 151 42351014 Mannheim, Germany ORCID GitHub
Research Profile

German physician-scientist with surgical AI research experience: co-first author with Prof. Hyuk-Joon Lee (Seoul National University Hospital) and principal research coordinator for 80-patient RCT. Research focus: validation methodology for surgical AI, emphasizing calibrated decision support and outcome-level evidence in KLASS-standardized gastrectomy.

Education
State Examination in Medicine (Staatsexamen)
Mannheim Medical Faculty, University of Heidelberg
Doctor of Medicine (Dr. med.) — in progress
Mannheim Medical Faculty, University of Heidelberg
Research Experience
Research Scholar
Seoul National University Hospital, Department of Gastrointestinal Surgery — Prof. Hyuk-Joon Lee, MD, PhD
Principal Research Coordinator, ENiMoN Trial
Mannheim Medical Faculty, University of Heidelberg
Scientific Research Assistant
Mannheim Medical Faculty, University of Heidelberg
Laboratory research in molecular biology; two poster presentations at institutional symposia
Publications

Dressler MH*, Choi JH*, Park K, Kong SH, Park DJ, Lee HJ. Bariatric Surgery in Patients With Prader-Willi Syndrome. J Metab Bariatr Surg. 2025;14(2):85-96. doi:10.17476/jmbs.2025.14.2.85 — *Co-first authorship

Dressler MH, Ghezel-Ahmadi D, Beck G. Enhanced Non-invasive Monitoring for Individualized Anesthesia in Robot-Assisted Nephrectomy: Results from the ENiMoN-RALN Trial. In preparation.

Clinical Experience
Surgical Residency (upcoming)
Würzburg, Germany
Physician, Obstetrics & Gynecology
University Hospital Mannheim
Ward and emergency patient care, surgical assistance in abdominal/laparoscopic procedures, on-call experience
Practical Year (PJ)
University Hospital Mannheim
COVID ICU Healthcare Assistant
University Hospital Mannheim
Critical care support during pandemic surge; 50+ night shifts with ventilated and ECMO patients
Technical Projects (github.com/Herbert-Research)
Project Description Methods
Surgical AI Calibration Benchmark Validation framework for surgical AI calibration benchmarking Brier score, ECE, Platt/isotonic scaling
Gastric Cancer Staging Analysis TCGA STAD cohort (n=421) survival analysis validating AJCC staging gradients Kaplan-Meier, Cox PH
Surgical Video Segmentation Surgical-video segmentation: CholecSeg8k CV plus SISVSE transfer evidence (fine-tuned macro IoU 0.491 on 480 public robotic-gastrectomy frames) PyTorch, DeepLabV3-ResNet50
Gastric Cancer Cox Nomogram Implementation of published Cox survival nomograms with sensitivity analysis Python, scikit-learn
Skills
Languages: German (native), English (C1), Korean (studying, TOPIK 3 target by 2027)
Programming: Python (pandas, NumPy, matplotlib, lifelines, scikit-learn, PyTorch)
Research: RCT design, pre-registration, survival analysis, REDCap, GDPR compliance
Membership: International Gastric Cancer Association (IGCA), member since 2025