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Medical Imaging Meets NeurIPS
Jonas Teuwen · Qi Dou · Ben Glocker · Ipek Oguz · Aasa Feragen · Hervé Lombaert · Ender Konukoglu · Marleen de Bruijne

Sat Dec 12 02:30 AM -- 11:25 AM (PST) @
Event URL: https://sites.google.com/view/med-neurips-2020 »

'Medical Imaging meets NeurIPS' is a satellite workshop established in 2017. The workshop aims to bring researchers together from the medical image computing and machine learning communities. The objective is to discuss the major challenges in the field and opportunities for joining forces. This year the workshop will feature online oral and poster sessions with an emphasis on audience interactions. In addition, there will be a series of high-profile invited speakers from industry, academia, engineering and medical sciences giving an overview of recent advances, challenges, latest technology and efforts for sharing clinical data.

Medical imaging is facing a major crisis with an ever increasing complexity and volume of data and immense economic pressure. The interpretation of medical images pushes human abilities to the limit with the risk that critical patterns of disease go undetected. Machine learning has emerged as a key technology for developing novel tools in computer aided diagnosis, therapy and intervention. Still, progress is slow compared to other fields of visual recognition which is mainly due to the domain complexity and constraints in clinical applications which require most robust, accurate, and reliable solutions. The workshop aims to raise the awareness of the unmet needs in machine learning for successful applications in medical imaging.

Author Information

Jonas Teuwen (Netherlands Cancer Institute)
Qi Dou (The Chinese University of Hong Kong)
Ben Glocker (Imperial College London)
Ipek Oguz (Vanderbilt University)
Aasa Feragen (Technical University of Denmark)
Hervé Lombaert (ETS Montreal / Inria)

Hervé is Associate Professor at ETS Montreal, Canada and Affiliated Research Scientist at Inria, France - His research interests are in Statistics on Shapes, Data & Medical Images. He had the chance to work in multiple centers, including Microsoft Research (Cambridge, UK), Siemens Corporate Research (Princeton, NJ), Inria Sophia-Antipolis (France), McGill University (Canada), and Polytechnique Montreal (Canada). He is also a recipient of the François Erbsmann Prize, a top prize in Medical Image Analysis, earned a Best Thesis Award at Polytechnique Montreal, as well as several other prizes and fellowships - Hervé co-organized several workshops and special sessions in major international conferences, including NIPS and ICML, on Medical Image Analysis.

Ender Konukoglu (ETH Zurich)
Marleen de Bruijne (Erasmus MC/University of Copenhagen)

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