Wolfgang Wein

Bio

Wolfgang Wein has worked in medical image computing research for the last 19 years, conducting numerous projects from early feasibility to product implementation. He received his doctoral degree in 2007 from Prof. Navab at the group for Computer Aided Medical Procedures (CAMP) at TU Munich, Germany. From 2006-2010 he worked as a research scientist at Siemens Corporate Research in Princeton, NJ USA, on various interventional navigation and medical imaging projects. In 2012, he founded the R&D lab ImFusion in Munich, which aids medical device companies around the world to create innovation. He also has a teaching assignment at TU Munich.

Title

"Combining visual computing with machine learning for improved registration in image-guided interventions"

Josien Pluim

Bio

Josien Pluim is professor of Medical Image Analysis at Eindhoven University of Technology, with a joint appointment at the UMC Utrecht, for one day a week. She is head of the Medical Image Analysis group (IMAG/e, www.tue-image.nl). Her research focus is on image analysis (e.g. registration, segmentation, detection, machine/deep learning), both methodology development and clinical applications. The latter in particular targeted at neurology and oncology. Most of the research is performed in cooperation with clinical partners and/or industry.
Josien Pluim is or was associate editor of five journals (IEEE TMI, IEEE TBME, Medical Physics, Journal of Medical Imaging and Medical Image Analysis). She served as a member of the Executive Board of the MICCAI Society, as conference chair of SPIE Medical Imaging Image Processing 2006-2009, chair of WBIR 2006 and programme co-chair of MICCAI 2010.  She is a MICCAI Society and IEEE Fellow.

Title

TBA

Maria Vakalopoulou

Bio

Maria Vakalopoulou is an Assistant Professor at MICS laboratory of CentraleSupelec, University Paris-Saclay, Paris, France. She is also the team lead of the βiomathematics group of MICS laboratory.  Her research is focusing on machine and deep learning with applications on health care and in particular medical image analysis. She is currently working on the topics of medical image registration and classification for medical images of different scales (histopathology, CT, MRI) in close collaboration with clinicians towards development of robust algorithms for prognosis, diagnosis and disease modeling focusing on breast and lung cancer as well as different interstitial lung diseases. Her research has been published in international journals and conferences (Lancet Oncology, Radiology, European Radiology, Medical Image Analysis, MICCAI). Moreover, she has served as an area chair for CVPR 2021, 2022, MICCAI 2022 and MIDL 2020 and 2021 conferences and as a guest editor in the CVIU journal of Elsevier.

Title

"Classical and deep learning based registration and its impact to clinical diagnosis"