17 Nov: Advances in Medical Deep Learning – Virtual Fall Meeting Session 1 of 3
Instead of our regular Fall meeting this year we present three short virtual events in November 2020.
At each event two keynote lectures are presented with a short moderated Q&A session.
Our six renowned speakers will show you how advances in deep learning are applied to medical imaging.
This first session we will start with Prof. Bram van Ginneken and Dr. Esther Bron.
On Tuesday 17th, Tuesday 24th and Thursday 26th from 15:30 to 17:00, Bart ter Haar Romeny and John Schavemaker will be your hosts.
All session are free after registration. You only need to supply your own drinks.
- 15:30 - 15:35
Speakers:Em.Prof. Bart ter Haar Romeny
- 15:35 - 16:20
- Deep Learning in Image Diagnostics at DIAG
- Keynote with Q&A
Speakers:Prof. Bram van Ginneken
- 16:20 - 17:00
- Dementia: brain imaging, machine learning and open science
- Keynote with Q&A
Speakers:Dr. Esther Bron
Dr. Esther BronUniversity Medical Center Rotterdam
Dr. Esther Bron is Assistant Professor at the department of Radiology and Nuclear Medicine of the Erasmus MC – University Medical Center Rotterdam in the Netherlands. She is PI of the research line ‘Neuroimage analysis and Machine learning’. Her mission is to extend the value of big data and artificial intelligence (AI) in the neurology domain to the benefit of patients and doctors. Dr. Bron obtained her PhD degree in 2016 with her thesis entitled Advanced MRI Analysis for Computer-Aided Diagnosis of Dementia. Currently, she is PI in several multicenter projects (CVON Heart Brain Connection, ImProVas, Parelsnoer), and coordinator of the Image & Data Science Platform. Dr. Bron (co-)organized two international grand challenges for the objective comparison of algorithms for AD diagnosis (CADDementia challenge) and prediction (TADPOLE challenge). In addition, she won the Young eScientist Award 2018 by the Netherlands eScience Center and was finalist for the Young Outstanding Researcher Award 2020 by Alzheimer Nederland.
Prof. Bram van GinnekenRadboud UMC Nijmegen
Prof.dr.ir. Bram van Ginneken is Professor of Medical Image Analysis at Radboud University Medical Center and chairs the Diagnostic Image Analysis Group. The DIAG group consists of about 60 researchers in deep learning image analysis for various applications in radiology, pathology, ophthalmology and also radiotherapy. It is the world’s largest group in medical imaging with a focus on deep learning image analysis. He also works for Fraunhofer MEVIS in Bremen, Germany, and is a founder of Thirona, a company that develops software and provides services for medical image analysis. He studied Physics at Eindhoven University of Technology and Utrecht University. In 2001, he obtained his PhD cum laude at the Image Sciences Institute on Computer-Aided Diagnosis in Chest Radiography. He has (co-)authored over 250 publications in international journals. He is member of the Editorial Board of Medical Image Analysis. He pioneered the concept of challenges in medical image analysis and is founder of the www.grand-challenge.org platform.