Författare: M. Jorge Cardoso

M. Jorge Cardoso & Edouard Duchesnay: Understanding and Interpreting Machine Learning in Medical Image Computing Applications

Daniel C. Alexander & M. Jorge Cardoso: Information Processing in Medical Imaging

Tal Arbel & Weidong Cai: Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

Shadi Albarqouni & Tal Arbel: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Tal Arbel & Miguel Angel Gonzalez Ballester: Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures

Tal Arbel & Stephen Aylward: Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound

Tal Arbel & Vasileios Belagiannis: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Tal Arbel & Hrvoje Bogunovic: Fetal, Infant and Ophthalmic Medical Image Analysis

Tal Arbel & Kanwal K. Bhatia: Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment

Tal Arbel & Nematollah K. Batmanghelich: Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

Shadi Albarqouni & M. Jorge Cardoso: Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

Shadi Albarqouni & Spyridon Bakas: Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning

Shadi Albarqouni & M. Jorge Cardoso: Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health

Shadi Albarqouni & Spyridon Bakas: Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning

Shadi Albarqouni & Spyridon Bakas: Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health

M. Jorge Cardoso & Enzo Ferrante: Domain Adaptation and Representation Transfer