Jan Lerut

Catholic University of Louvain (UCL) - Institut de Recherche Experimentale et Clinique (IREC)

Brussels

Belgium

SCHOLARLY PAPERS

2

DOWNLOADS

78

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (2)

1.

Development and Validation of an Artificial Intelligence Model for a Better Prediction of Hepatocellular Cancer Recurrence after Transplantation: A Retrospective International Study

Number of pages: 26 Posted: 14 Feb 2022
Sapienza University of Rome - General Surgery and Organ Transplantation Unit, Polytechnic University of Turin - Data Science and Engineering, Cornell University - Division of Liver Transplantation and Hepatobiliary Surgery, Medanta-The Medicity - Medanta Institute of Liver Transplantation and Regenerative Medicine, Kyushu University - Department of Surgery and Science, Medical University of Innsbruck - Gastroenterology, Hepatology, Endocrinology & Metabolism, Universitätsmedizin Mainz - Klinik für Allgemein-, Viszeral- und Transplantationschirurgie, Merkur University of Zagreb - Liver Transplant Centre, Kyoto University - Division of Hepato-Biliary Pancreatic and Transplant Surgery, Polytechnic University of Marche - Unit of Hepatobiliary Surgery and Transplantation, University of Rome Tor Vergata - Department of Surgical Science, Fondazione Policlinico Universitario A. Gemelli IRCCS - Liver Unit, San Camillo Hospital - Department of Transplantation and General Surgery, Sapienza University of Rome - General Surgery and Organ Transplantation Unit, Royal Free Hospital - UCL Institute for Liver and Digestive Health and Royal Free Sheila Sherlock Liver Centre, The University of Hong Kong - Department of Surgery, Chang Gung University - Department of Surgery, University of Padua - Department of Surgery, Oncology and Gastroenterology (DISCOG), IRCCS Azienda Ospedaliero-Universitaria di Bologna - Department of General Surgery and Transplantation and Catholic University of Louvain (UCL) - Institut de Recherche Experimentale et Clinique (IREC)
Downloads 42 (757,328)

Abstract:

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Deep learning, calculator, alpha-fetoprotein, radiological response, waiting time, living donation.

2.

An Intention-to-Treat Competing-Risk Model for Candidates with Hepatocellular Cancer Awaiting Liver Transplantation

Number of pages: 26 Posted: 08 Jan 2019
Sapienza University of Rome - General Surgery and Organ Transplantation Unit, University of Bologna, University of Padua, Cornell University, Catholic University of Louvain (UCL), University of Innsbruck, Medanta-The Medicity - Medanta Institute of Liver Transplantation and Regenerative Medicine, Sapienza University of Rome, The University of Hong Kong, Kyoto University, Chang Gung University - College of Medicine, Universitätsmedizin Mainz - Klinik für Allgemein-, Viszeral- und Transplantationschirurgie, Kyushu University - Department of Surgery and Science, Zhejiang University, Zhejiang University - Department of Hepatobiliary and Pancreatic Surgery, Zhejiang University - Division of Hepatobiliary and Pancreatic Surgery, Kyushu University, Johannes Gutenberg University Mainz, Chang Gung University - Department of Surgery, Kyoto University, The University of Hong Kong - Department of Surgery, Sapienza University of Rome - General Surgery and Organ Transplantation Unit, Medanta Super Specialty Hospital, University of Innsbruck, Cornell University - Division of Liver Transplantation and Hepatobiliary Surgery, University of Padua - Department of Surgery, Oncology and Gastroenterology (DISCOG) and Catholic University of Louvain (UCL) - Institut de Recherche Experimentale et Clinique (IREC)
Downloads 36 (801,148)

Abstract:

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Disease progression; locoregional therapy; alpha-fetoprotein; mRECIST; MELD