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Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT

Aug 10, 2020
Steffen Bruns, Jelmer M. Wolterink, Richard A. P. Takx, Robbert W. van Hamersvelt, Dominika Suchá, Max A. Viergever, Tim Leiner, Ivana Išgum


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Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images

Jul 10, 2020
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Elbrich M. Postma, Paul A. M. Smeets, Richard A. P. Takx, Tim Leiner, Max A. Viergever, Ivana IÅ¡gum

* 12 pages, accepted at IEEE transactions in Medical Imaging 

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Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis

Nov 10, 2019
Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana IÅ¡gum

* Submitted to IEEE Access. arXiv admin note: text overlap with arXiv:1906.04419 

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Harmonization of diffusion MRI datasets with adaptive dictionary learning

Oct 30, 2019
Samuel St-Jean, Max A. Viergever, Alexander Leemans

* v2: Fix minor text issue + add supp materials v1: To be submitted to Neuroimage 

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Liver segmentation and metastases detection in MR images using convolutional neural networks

Oct 15, 2019
Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim

* J. Med. Imag. 6(4), 044003 (2019) 

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SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions

Aug 28, 2019
Frank Zijlstra, Max A. Viergever, Peter R. Seevinck

* Physica Medica 64 (2019): 252-260 

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Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis

Jun 11, 2019
Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana IÅ¡gum

* This work has been submitted to the TMI IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Apr 01, 2019
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Elodie Puybareau, Leticia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels

* Accepted for publication in IEEE Transactions on Medical Imaging 

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Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier

Oct 24, 2018
Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana IÅ¡gum

* Accepted in Medical Image Analysis 

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Automatic, fast and robust characterization of noise distributions for diffusion MRI

Oct 02, 2018
Samuel St-Jean, Alberto De Luca, Max A. Viergever, Alexander Leemans

* St-Jean S. et al. (2018) Automatic, Fast and Robust Characterization of Noise Distributions for Diffusion MRI. In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2018. LNCS, vol 11070. Springer, Cham 
* v2: added publisher DOI statement, fixed text typo in appendix A2 

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A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration

Sep 17, 2018
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum

* Under review 

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A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography

Aug 20, 2018
Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum

* Submitted to IEEE Transactions on Medical Imaging on 20.08.2018 

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Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions

Feb 01, 2018
Nikolas Lessmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana IÅ¡gum

* IEEE Transactions on Medical Imaging 37(2), pp 615-625, 2018 

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Direct and Real-Time Cardiovascular Risk Prediction

Dec 08, 2017
Bob D. de Vos, Nikolas Lessmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum

* Scientific paper at RSNA 2017 

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Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis

Dec 06, 2017
Majd Zreik, Nikolas Lessmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana IÅ¡gum

* This paper was submitted in April 2017 and accepted in November 2017 for publication in Medical Image Analysis. Please cite as: Zreik et al., Medical Image Analysis, 2018, vol. 44, pp. 72-85 

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Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images

Aug 03, 2017
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum

* Accepted in STACOM Automated Cardiac Diagnosis Challenge 2017 

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End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network

Apr 20, 2017
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana IÅ¡gum

* DLMIA/ML-CDS@MICCAI 2017 

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Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network

Apr 19, 2017
Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum

* This work has been published as: Zreik, M., Leiner, T., de Vos, B. D., van Hamersvelt, R. W., Viergever, M. A., I\v{s}gum, I. (2016, April). Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks. In Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on (pp. 40-43). IEEE 

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ConvNet-Based Localization of Anatomical Structures in 3D Medical Images

Apr 19, 2017
Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana IÅ¡gum

* IEEE Transactions on Medical Imaging , vol.PP, no.99, pp.1-1 (2017) 

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Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease

Apr 12, 2017
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana IÅ¡gum

* RAMBO 2016, HVSMR 2016. LNCS 10129. pp. 95-102 

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Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities

Apr 11, 2017
Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana IÅ¡gum

* Moeskops, P., Wolterink, J.M., van der Velden, B.H.M., Gilhuijs, K.G.A., Leiner, T., Viergever, M.A., I\v{s}gum, I. Deep learning for multi-task medical image segmentation in multiple modalities. In: MICCAI 2016, pp. 478-486 

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Automatic segmentation of MR brain images with a convolutional neural network

Apr 11, 2017
Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, Ivana Išgum

* IEEE Transactions on Medical Imaging, 35(5), 1252-1261 (2016) 

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Assessment of algorithms for mitosis detection in breast cancer histopathology images

Nov 21, 2014
Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio Gonzalez, Anders B. L. Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Cireşan, Jürgen Schmidhuber, Alessandro Giusti, Luca M. Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frederic Precioso, Violet Snell, Josef Kittler, Teofilo E. de Campos, Adnan M. Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim

* 23 pages, 5 figures, accepted for publication in the journal Medical Image Analysis 

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