icon-folder.gif   Conference Reports for NATAP  
 
  The International Liver Congress™
EASL - European Association for the
Study of the Liver
Aug 27-29
Digital ILC 2020
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Machine learning to predict recurrence of early-stage
HCC before therapy using baseline MRI

 
 
  EASL 2020 Aug 27-29 virtual
 
AHMET S. KUECUEKKAYA1,2, TAL ZEEVI1, RAJIV RAJU1, NATHAN X. CHAI1, STEFAN P. HAIDER1, MOHAMED ELBANAN3, ALEXANDRA PETUKHOVA1,2, MINGDE LIN1,4, MICHAL NOWAK1, KIRSTEN COOPER1, ELIZABETH THOMAS1, BERNHARD GEBAUER2, LAWRENCE STAIB1, RAMESH BATRA5, JULIUS CHAPIRO1 1Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, USA, 2Charite-Universitatsmedizin Berlin, corporate member of Freie Universitat Berlin, Humboldt-Universitat, and Berlin Institute of Health, Institute of Radiology, Berlin, Germany, 3Yale New Haven Health System, Bridgeport Hospital, Department of Diagnostic Radiology, Bridgeport, CT, USA, 4Visage Imaging, 5Yale University School of Medicine, Department of Surgery, Transplantation and Immunology, New Haven, CT, USA Department of Surgery, Transplantation and Immunology, New Haven, CT, USA

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