29 July - 4 Aug 2018 Favignana, Sicily
Medical Imaging meets Deep Learning
VIDEO LECTURES
Michael Bronstein Università della Svizzera Italiana, Switzerland
"Geometric deep learning on graphs and manifolds"
[SLIDES]
Thomas Brox University of Freiburg, Germany
"Dense correspondence estimation with deep learning and cross-dataset generalization"
Trevor Darrell University of California at Berkeley, USA
"Adaptive Deep Learning for Perception and Explanation"
Sanja Fidler University of Toronto, Canada
"Training Deep Networks with Less Manual Annotation"
[COMING SOON]
Ender Konukoglu ETH-Zurich, Switzerland
Lecture 1"Using deep learning as priors in generative models for image analysis"
[SLIDES Lecture 1]
Lecture 2"From random (decision) forests to neural networks"
[SLIDES Lecture 2]
Georg Langs Medical University of Vienna, Austria
"Unsupervised Learning in Medical Imaging: Discovering Phenotypes and Detecting Anomalies"
Sebastien Ourselin King's College London, United Kingdom
"AI in Neuroradiology: precision medicine and the challenges of clinical data"
Daniel Rueckert Imperial College London, United Kingdom
"Deep Learning for medical image reconstruction, super-resolution and segmentation"
Julia Schnabel King's College London, United Kingdom
"(Medical) image quality assessment using deep learning"
Andrea Vedaldi University of Oxford and Facebook, United Kingdom
"Unsupervised, universal and understandable deep learning"
René Vidal Johns Hopkins University, USA
Lecture 1"Mathematics of Deep Learning"
Lecture 2"Segmental Spatio-Temporal Deep Networks for Discovering the Language of Surgery"
Kevin Zhou Institute of Computing Technologies, Chinese Academy of Sciences, China
"Deep Learning + Knowledge: Medical Image Recognition, Segmentation and Parsing"
Larry Zitnick Facebook, USA
Lecture 1"The dark ages: Object recognition before deep learning"
Lecture 2"A recent history of deep learning and object recognition"
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