- ORCID iD
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0000-0002-5257-4087
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- Conference Paper
- C1
- open access
A reference-based approach for tumor size estimation in monocular laparoscopic videos
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Assessment of intraoperative scoring systems for predicting cytoreduction outcome in peritoneal metastatic disease : a systematic review and meta-analysis
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Development of a video-based deep learning model for differentiation of malignant and benign lesions during staging laparoscopy : is the machine better than the expert?
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- Journal Article
- A1
- open access
National practice patterns in the use of endoscopic ultrasound biopsy for resectable Pancreatic Neuroendocrine Tumors : insights into the role of DOTATATE PET/CT in diagnosis
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Standardizing eligibility and patient selection for Pressurized Intraperitoneal Aerosol Chemotherapy : a Delphi consensus statement
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Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery : a systematic review and meta-analysis
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- Conference Paper
- P1
- open access
Towards abdominal 3-D scene rendering from laparoscopy surgical videos using NeRFs
(2024) MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT I. In Lecture notes in computer science 14348. p.83-93 -
- Journal Article
- A2
- open access
Pure laparoscopic formal right hepatectomy versus anatomical posterosuperior segmental resections : a comparative study
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Laparoscopic liver surgery training course on Thiel-embalmed human cadavers : program evaluation, trainer’s long-term feedback and steps forward
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Laparoscopic versus open approach for formal right and left hepatectomy : a propensity score matching analysis