prof. dr. Niki Rashidian
- ORCID iD
- 0000-0003-2654-4447
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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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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
- A1
- open access
The Brescia Internationally Validated European Guidelines on Minimally Invasive Pancreatic Surgery (EGUMIPS)
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- Journal Article
- A1
- open access
Predictive factors for survival in borderline resectable and locally advanced pancreatic cancer : are these really two different entities?
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- Miscellaneous
- open access
Artificial intelligence for equity
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Role of preoperative 3D rendering for minimally invasive parenchyma sparing liver resections