29 July - 4 Aug 2018 Favignana, Sicily
Medical Imaging meets Deep Learning
Università della Svizzera Italiana, Switzerland
"Geometric deep learning on graphs and manifolds"
University of Freiburg, Germany
"Dense correspondence estimation with deep learning and cross-dataset generalization"
University of California at Berkeley, USA
"Adaptive Deep Learning for Perception and Explanation"
University of Toronto, Canada
"Training Deep Networks with Less Manual Annotation"
Lecture 1"Using deep learning as priors in generative models for image analysis"
Lecture 2"From random (decision) forests to neural networks"
Medical University of Vienna, Austria
"Unsupervised Learning in Medical Imaging: Discovering Phenotypes and Detecting Anomalies"
King's College London, United Kingdom
"AI in Neuroradiology: precision medicine and the challenges of clinical data"
Imperial College London, United Kingdom
"Deep Learning for medical image reconstruction, super-resolution and segmentation"
University of Oxford, United Kingdom
"Unsupervised, universal and understandable deep learning"
Johns Hopkins University, USA
Lecture 1"Mathematics of Deep Learning"
Lecture 2"Segmental Spatio-Temporal Deep Networks for Discovering the Language of Surgery"
Siemens Healthineers, USA
"Deep Learning + Knowledge: Medical Image Recognition, Segmentation and Parsingg"
Lecture 1"The dark ages: Object recognition before deep learning"
Lecture 2"A recent history of deep learning and object recognition"