J
Jelmer M. Wolterink
Researcher at University of Twente
Publications - 101
Citations - 5394
Jelmer M. Wolterink is an academic researcher from University of Twente. The author has contributed to research in topics: Deep learning & Computer science. The author has an hindex of 23, co-authored 82 publications receiving 3312 citations. Previous affiliations of Jelmer M. Wolterink include University of Amsterdam & Utrecht University.
Papers
More filters
Journal ArticleDOI
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
Olivier Bernard,Alain Lalande,Clement Zotti,Frederick Cervenansky,Xin Yang,Pheng-Ann Heng,Irem Cetin,Karim Lekadir,Oscar Camara,Miguel Ángel González Ballester,Gerard Sanroma,Sandy Napel,Steffen E. Petersen,Georgios Tziritas,Elias Grinias,Mahendra Khened,Varghese Alex Kollerathu,Ganapathy Krishnamurthi,Marc-Michel Rohé,Xavier Pennec,Maxime Sermesant,Fabian Isensee,Paul F. Jäger,Klaus H. Maier-Hein,Peter M. Full,Ivo Wolf,Sandy Engelhardt,Christian F. Baumgartner,Lisa M. Koch,Jelmer M. Wolterink,Ivana Išgum,Yeonggul Jang,Yoonmi Hong,Jay Patravali,Shubham Jain,Olivier Humbert,Pierre-Marc Jodoin +36 more
TL;DR: How far state-of-the-art deep learning methods can go at assessing CMRI, i.e., segmenting the myocardium and the two ventricles as well as classifying pathologies is measured, to open the door to highly accurate and fully automatic analysis of cardiac CMRI.
Journal ArticleDOI
Generative Adversarial Networks for Noise Reduction in Low-Dose CT
TL;DR: Noise reduction improved quantification of low-density calcified inserts in phantom CT images and allowed coronary calcium scoring in low-dose patient CT images with high noise levels.
Book ChapterDOI
Deep MR to CT synthesis using unpaired data
Jelmer M. Wolterink,Anna M. Dinkla,Mark H. F. Savenije,Peter R. Seevinck,Cornelis A. T. van den Berg,Ivana Išgum +5 more
TL;DR: This work proposes to train a generative adversarial network (GAN) with unpaired MR and CT images to synthesize CT images that closely approximate reference CT images, and was able to outperform a GAN model trained with paired MR andCT images.
Book ChapterDOI
Deep learning for multi-task medical image segmentation in multiple modalities
Pim Moeskops,Pim Moeskops,Jelmer M. Wolterink,Bas H. M. van der Velden,Kenneth G. A. Gilhuijs,Tim Leiner,Max A. Viergever,Ivana Išgum +7 more
TL;DR: In this article, a single convolutional neural network (CNN) is trained to perform different segmentation tasks for different medical images, such as image segmentation, segmentation of anatomical structures, and image classification.
Journal ArticleDOI
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks.
Jelmer M. Wolterink,Tim Leiner,Bob D. de Vos,Robbert W. van Hamersvelt,Max A. Viergever,Ivana Išgum +5 more
TL;DR: CAC can be accurately automatically identified and quantified in CCTA using the proposed pattern recognition method, which might obviate the need to acquire a dedicated CSCT scan for CAC scoring, and thus reduce the CT radiation dose received by patients.