Lectures from the 3rd Biomedical Image Analysis Summer School: Modalities, Methodologies & Clinical Research

July 6th-10th, 2015

Photo participants

The Center of Visual Computing of CentraleSupelec & Inria, Saclay, Ile-de-France, organized a summer school in Biomedical Image Analysis: Modalities, Methodologies & Clinical Research at the Institut Henri Poincaré at the heart of Paris. It was an official event of the Medical Image Computing and Computer Assisted Intervention Society (MICCAI) .

The school offered tutorial, advanced medical imaging and radiologist-view point lectures. Tutorial lectures provided access to the research areas in medical physics, applied mathematics & computer science that are used as basis towards developing advanced computer aided diagnosis solutions (medical image segmentation, deep learning, probabilistic graphical models, geometric methods in data analysis, continuous optimization, shape representations and manifolds). Clinical research lectures were given from leading researchers in the field aiming to present a wide range of clinical imaging research projects and state of the art methods towards their solutions from biomedical imaging view point. Lectures from radiologist were seek to determine clinical areas of interest and potential research topics.

Seminar by Maxim Berman

at 2pm, 27th May 2014
Title: “Grammars in Computer Vision: towards higher order”

Seminar by Foued Hadjselem and Edouard Duchesnay (CEA)

at 11 am, 26th May 2014

Title: “Continuation methods and Nesterov optimisation techniques for general structured sparse learning : an application to structural MRI”

Seminar by Puneet Kumar Dokania

at 3 pm, 20th May 2014

Title: “Optimizing Average Precision using High-Order Information”