Medical Imaging Summer School 2014
28 July - 1Aug 2014 Favignana, Sicily
Medical Imaging meets Computer Vision
Detailed MISS 2014 Programme
VIDEO LECTURES
Sir Mike Brady University of Oxford, UK
Lecture 1 The continuing quest for quantitative image analysis
Lecture 2 Shoring up the foundations of image analysis
Dorin Comaniciu Siemens Corporate Technology, Princeton, US
Antonio Criminisi Microsoft Research, Cambridge, UK
Lecture 1 Decision Forests for Medical Image Analysis
Lecture 2 Semantic Segmentation by Deep Learning
Herve Delingette INRIA, France
Guido Gerig The University of Utah, US
Lecture 1 Shaping up! Introduction into Shape Analysis
Lecture 2 Quantification of Object Dynamics by Spatiotemporal Shape Analysis
Polina Golland Massachusetts Institute of Technology, US
Lecture 1 (in joint with Ramin Zabih) Segmentation in Medical Image Analysis
Lecture 2 Segmentation, Visualization and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke
Nassir Navab Technical University of Munich, Germany
Lectures (in joint with Tim Salcudean) Advanced Imaging and Visualization for Computer Assisted Interventions: motivation, state-of-art and future challenges
Part II – Navigated Nuclear Probes
Part IV – Medical Augmented Reality
Nikos Paragios Ecole Centrale Paris, France
Lecture 1 Introduction to Deformable Registration: Transformations, Metrics & Inference
Lecture 2 Deformable Registration: Setting the State of the Art through coupling of iconic/geometric methods using Discrete Models
Lecture 3 Discrete Biomedical Perception: Efficiency, Modularity & Scalability
Xavier Pennec INRIA, France
Lecture 1 Demonology, or a short retrospective of Demons in medical image registration
Lecture 2 Geometric Structures for Statistics on Shapes and Deformations in Computational Anatomy
Tim Salcudean University of British Columbia, CA
Lectures (in joint with Nassir Navab) Advanced Imaging and Visualization for Computer Assisted Interventions: motivation, state-of-art and future challenges
Part I – Elastography imaging
Part III – Ultrasound-guided Interventions
Ramin Zabih Cornell University, US
Lecture 1 (in joint with Polina Golland) Segmentation in Medical Image Analysis
Lecture 2 Medical Image Reconstruction with Realistic Priors
SEE DETAILED INSTRUCTIONS
POSTERS SUBMITTED TO MISS 2014
We are planning to publish a selection of lectures of this summer school as a Springer Lecture Notes in Computer Science Tutorial edition, after the school has taken place.