September 17, 2017

Best paper at MICCAI Deep Learning in Medical Image Analysis workshop 2017

Bob de Vos received the Best paper award at MICCAI 3rd Workshop on Deep Learning in Medical Image Analysis for our paper End-to-end Unsupervised Deformable Image Registration with a […]
June 6, 2017

Bob de Vos receives the ImagO best article award 2017

Bob de Vos has received the ImagO best article award for our recent paper ConvNet-Based Localization of Anatomical Structures in 3D Medical Images.
February 13, 2017

We are co-organizing Deep Learning workshop at SPIE Medical Imaging 2017

We have co-organized a workshop on deep learning for medical imaging analysis at SPIE Medical Imaging. The slides that we presented at this workshop are now available […]
October 26, 2016

Jelmer Wolterink receives award at MICCAI HVSMR challenge

Our paper “Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart disease” has received an award for second place at the MICCAI Workshop on […]
May 27, 2016

Pim Moeskops receives the ImagO 2016 best article award

Pim Moeskops has received the UMC Utrecht ImagO best article award 2015/2016 for our recent paper in IEEE Transactions on Medical Imaging.
May 11, 2016

MICCAI workshop n perinatal, preterm and pediatric image analysis

In conjunction with MICCAI 2016, we are co-organizing a workshop on perinatal, preterm and pediatric image analysis. For more information visit the workshop site.
March 16, 2016

Nikolas Lessmann nominated for SPIE Medical Imaging RWF Award 2016

Nikolas Lessmann was in the Final Round of the Robert F. Wagner All Conference Best Student Paper Awards at SPIE Medical Imaging 2016. For details follow […]
December 9, 2015

Aunt Minnie reports about Nikolas Lessmann’s research

Report available here.
October 27, 2015

Jelmer Wolterink: Runner Up Student Best Paper Awards, MICCAI 2015

Jelmer Wolterink is a runner up for Student Best Paper Awards at MICCAI 2015 with the paper “Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks”.