Area of research
Hepatology · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Hepatocellular Carcinoma Treatment and Prognosis, Cholangiocarcinoma and Gallbladder Cancer Studies, MRI in cancer diagnosis, and Liver Disease Diagnosis and Treatment.
Detection of esophageal varices and prediction of hepatic decompensation in unresectable hepatocellular carcinoma using AI.
Evaluation of a deep learning-based software to automatically detect and quantify breast arterial calcifications on digital mammogram.
Response to "2024 Global Statement Defining IR-Have We Reached the Tipping Point?"
Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution
Association of LI-RADS and Histopathologic Features with Survival in Patients with Solitary Resected Hepatocellular Carcinoma.
Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge
Selective internal radiation therapy for unresectable HCC: The SIRT downstaging study.
Whole-Body Positron Emission Tomography with 18F-Fluorodeoxyglucose/Magnetic Resonance Imaging as a Screening Tool for the Detection of Malignant Transformation in Individuals with Neurofibromatosis Type 1
Selective internal radiation therapy across Barcelona Clinic Liver Cancer (BCLC) stages of hepatocellular carcinoma: literature review.
Evaluation of a new beads reflux control microcatheter in drug-eluting bead transarterial chemoembolization.
Charte de bonnes pratiques de l’enseignement initial de la radiologie
Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution
Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge
Generative adversarial networks (GAN)-based data augmentation of rare liver cancers: The SFR 2021 Artificial Intelligence Data Challenge
Automated CT LI-RADS v2018 scoring of liver observations using machine learning: A multivendor, multicentre retrospective study
Skeletal Muscle Density Is Highly Dependent on CT Instrumentation.
Synthetic MR image generation of macrotrabecular-massive hepatocellular carcinoma using generative adversarial networks
TACE and conformal radiotherapy <i>vs</i>. TACE alone for hepatocellular carcinoma: A randomised controlled trial.
Glomerular Filtration Rate Measured Based on Iomeprol Clearance Assessed at CT Urography in Living Kidney Donor Candidates.
Myosteatosis as an independent risk factor for mortality after kidney allograft transplantation: a retrospective cohort study.
Fast T2-weighted liver MRI: Image quality and solid focal lesions conspicuity using a deep learning accelerated single breath-hold HASTE fat-suppressed sequence
Liver resection for single large hepatocellular carcinoma: a prognostic factors study
Autofluorescence imaging within the liver: a promising tool for the detection and characterization of primary liver tumors.
2020 WSES guidelines for the detection and management of bile duct injury during cholecystectomy
Three artificial intelligence data challenges based on CT and ultrasound.
Impact of the <sup>18</sup>F-FDG-PET/MRI on Metastatic Staging in Patients with Hepatocellular Carcinoma: Initial Results from 104 Patients.
Multiphase Liver MRI for Identifying the Macrotrabecular-Massive Subtype of Hepatocellular Carcinoma.
Three artificial intelligence data challenges based on CT and MRI
Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI
Potential of fecal microbiota for early‐stage detection of colorectal cancer