Max A. Viergever

ORCID

Publication Activity (10 Years)

Years Active: 1981-2023
Publications (10 Years): 95

Top Venues

CoRR

NeuroImage

Medical Imaging: Image Processing

Medical Image Anal.

Publications

Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf
Effect of latent space distribution on the segmentation of images with multiple annotations. CoRR (2023)
Jörg Sander, Bob D. de Vos, Steffen Bruns, Nils Planken, Max A. Viergever, Tim Leiner, Ivana Isgum
Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations. Comput. Biol. Medicine 164 (2023)
Ruurd J. A. Kuiper, Joost W. Colaris, Filip Stockmans, Eline M. van Es, Max A. Viergever, Peter R. Seevinck, Harrie Weinans, Ralph J. B. Sakkers
Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning. Int. J. Comput. Assist. Radiol. Surg. 18 (12) (2023)
Sanne G. M. van Velzen, Bob D. de Vos, Julia M. H. Noothout, Helena M. Verkooijen, Max A. Viergever, Ivana Isgum
Generative Models for Reproducible Coronary Calcium Scoring. CoRR (2022)
Steffen Bruns, Jelmer M. Wolterink, Thomas P. W. van den Boogert, Jurgen H. Runge, Berto J. Bouma, José P. Henriques, Jan Baan, Max A. Viergever, R. N. Planken, Ivana Isgum
Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT. Comput. Biol. Medicine 142 (2022)
Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Medical Image Anal. 79 (2022)
Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection. CoRR (2022)
Lisette Charbonnier, Floor van Meer, Alexandra M. Johnstone, Daniel Crabtree, William Buosi, Yannis Manios, Odysseas Androutsos, Angeliki Giannopoulou, Max A. Viergever, Paul A. M. Smeets
Corrigendum to "Effects of hunger state on the brain responses to food cues across the life span" [NeuroImage 171 (2018) 246-255]. NeuroImage 233 (2021)
Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. CoRR (2021)
Hamed Y. Mesri, Szabolcs Dávid, Max A. Viergever, Alexander Leemans
The adverse effect of gradient nonlinearities on diffusion MRI: From voxels to group studies. NeuroImage 205 (2020)
Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography. IEEE Trans. Medical Imaging 39 (5) (2020)
Ayodeji L. Adams, Max A. Viergever, Peter R. Luijten, Jaco J. M. Zwanenburg
Validating faster DENSE measurements of cardiac-induced brain tissue expansion as a potential tool for investigating cerebral microvascular pulsations. NeuroImage 208 (2020)
Samuel St-Jean, Alberto De Luca, Chantal M. W. Tax, Max A. Viergever, Alexander Leemans
Automated characterization of noise distributions in diffusion MRI data. Medical Image Anal. 65 (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 Isgum
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. IEEE Trans. Medical Imaging 39 (12) (2020)
Sanne G. M. van Velzen, Bob D. de Vos, Helena M. Verkooijen, Tim Leiner, Max A. Viergever, Ivana Isgum
Coronary artery calcium scoring: Can we do better? Medical Imaging: Image Processing (2020)
Fenghua Guo, Alexander Leemans, Max A. Viergever, Flavio Dell'Acqua, Alberto De Luca
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data. NeuroImage 218 (2020)
Steffen Bruns, Jelmer M. Wolterink, Richard A. P. Takx, Robbert W. van Hamersvelt, Dominika Suchá, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT. CoRR (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 Isgum
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. CoRR (2020)
Fenghua Guo, Alexander Leemans, Max A. Viergever, Flavio Dell'Acqua, Alberto De Luca
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data. CoRR (2019)
Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis. CoRR (2019)
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. 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, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR (2019)
Frank Zijlstra, Max A. Viergever, Peter R. Seevinck
SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions. CoRR (2019)
Nadieh Khalili, Nikolas Leßmann, E. Turk, Nathalie H. P. Claessens, R. de Heus, T. Kolk, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks. CoRR (2019)
Samuel St-Jean, Max A. Viergever, Alexander Leemans
Harmonization of diffusion MRI datasets with adaptive dictionary learning. CoRR (2019)
Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. Medical Imaging: Image Processing (2019)
Nadieh Khalili, E. Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum
Generative adversarial network for segmentation of motion affected neonatal brain MRI. CoRR (2019)
Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim
Liver segmentation and metastases detection in MR images using convolutional neural networks. CoRR (2019)
Floor van Meer, Laura N. van der Laan, Gabriele Eiben, Lauren Lissner, Maike Wolters, Stefan Rach, Manfred Herrmann, Peter Erhard, Denes Molnar, Gergely Orsi, Max A. Viergever, Roger A. H. Adan, Paul A. M. Smeets
Development and body mass inversely affect children's brain activation in dorsolateral prefrontal cortex during food choice. NeuroImage 201 (2019)
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum
A deep learning framework for unsupervised affine and deformable image registration. Medical Image Anal. 52 (2019)
Nadieh Khalili, E. Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum
Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI. MICCAI (3) (2019)
Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Isgum
Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier. Medical Image Anal. 51 (2019)
Samuel St-Jean, Maxime Chamberland, Max A. Viergever, Alexander Leemans
Reducing variability in along-tract analysis with diffusion profile realignment. NeuroImage 199 (2019)
Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38 (11) (2019)
Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography. IEEE Trans. Medical Imaging 38 (7) (2019)
Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis. CoRR (2019)
Lisette Charbonnier, Floor van Meer, Alexandra M. Johnstone, Daniel Crabtree, William Buosi, Yannis Manios, Odysseas Androutsos, Angeliki Giannopoulou, Max A. Viergever, Paul A. M. Smeets
Effects of hunger state on the brain responses to food cues across the life span. NeuroImage 171 (2018)
Samuel St-Jean, Alberto De Luca, Max A. Viergever, Alexander Leemans
Automatic, Fast and Robust Characterization of Noise Distributions for Diffusion MRI. MICCAI (1) (2018)
Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Isgum
Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier. CoRR (2018)
Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning. CoRR (2018)
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration. CoRR (2018)
Samuel St-Jean, Alberto De Luca, Max A. Viergever, Alexander Leemans
Automatic, fast and robust characterization of noise distributions for diffusion MRI. CoRR (2018)
Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. Medical Image Anal. 44 (2018)
Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions. IEEE Trans. Medical Imaging 37 (2) (2018)
Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography. CoRR (2018)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. STACOM@MICCAI (2017)
Bob D. de Vos, Nikolas Leßmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum
Direct and Real-Time Cardiovascular Risk Prediction. CoRR (2017)
Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, Ivana Isgum
Automatic segmentation of MR brain images with a convolutional neural network. CoRR (2017)
Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum
ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images. IEEE Trans. Medical Imaging 36 (7) (2017)
Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. CoRR (2017)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Generative Adversarial Networks for Noise Reduction in Low-Dose CT. IEEE Trans. Medical Imaging 36 (12) (2017)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. CoRR (2017)
Chantal M. W. Tax, Carl-Fredrik Westin, Tom C. J. Dela Haije, Andrea Fuster, Max A. Viergever, Evan Calabrese, Luc Florack, Alexander Leemans
Quantifying the brain's sheet structure with normalized convolution. Medical Image Anal. 39 (2017)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. CoRR (2017)
Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities. CoRR (2017)
Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum
Automatic Segmentation of the Intracranial Volume in Fetal MR Images. FIFI/OMIA@MICCAI (2017)
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network. DLMIA/ML-CDS@MICCAI (2017)
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network. CoRR (2017)
Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. CoRR (2017)
Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum
ConvNet-Based Localization of Anatomical Structures in 3D Medical Images. CoRR (2017)
Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum
Automatic segmentation of the intracranialvolume in fetal MR images. CoRR (2017)
Floor van Meer, Laura N. van der Laan, Max A. Viergever, Roger A. H. Adan, Paul A. M. Smeets
Considering healthiness promotes healthier choices but modulates medial prefrontal cortex differently in children compared with adults. NeuroImage 159 (2017)
Jurica Sprem, Bob D. de Vos, Pim A. de Jong, Max A. Viergever, Ivana Isgum
Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network. Medical Imaging: Image Processing (2017)
Yinghe Huo, Koen L. Vincken, Désirée van der Heijde, Maria J. H. De Hair, Floris P. Lafeber, Max A. Viergever
Automatic Quantification of Radiographic Wrist Joint Space Width of Patients With Rheumatoid Arthritis. IEEE Trans. Biomed. Eng. 64 (11) (2017)
Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum
Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network. CoRR (2017)
Sjoerd B. Vos, Murat Aksoy, Zhaoying Han, Samantha J. Holdsworth, Julian R. Maclaren, Max A. Viergever, Alexander Leemans, Roland Bammer
Trade-off between angular and spatial resolutions in in vivo fiber tractography. NeuroImage 129 (2016)
Jelmer M. Wolterink, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks. Medical Image Anal. 34 (2016)
Karina J. Kersbergen, François Leroy, Ivana Isgum, Floris Groenendaal, Linda S. de Vries, Nathalie H. P. Claessens, Ingrid C. van Haastert, Pim Moeskops, Clara Fischer, Jean-François Mangin, Max A. Viergever, Jessica Dubois, Manon J. N. L. Benders
Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants. NeuroImage 142 (2016)
Nikolas Leßmann, Ivana Isgum, Arnaud A. A. Setio, Bob D. de Vos, Francesco Ciompi, Pim A. de Jong, Matthijs Oudkerk, W. P. Th. M. Mali, Max A. Viergever, Bram van Ginneken
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. Medical Imaging: Computer-Aided Diagnosis (2016)
Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum
Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks. ISBI (2016)
Max A. Viergever, J. B. Antoine Maintz, Stefan Klein, Keelin Murphy, Marius Staring, Josien P. W. Pluim
A survey of medical image registration - under review. Medical Image Anal. 33 (2016)
Yinghe Huo, Koen L. Vincken, Désirée van der Heijde, Maria J. H. De Hair, Floris P. Lafeber, Max A. Viergever
Automatic Quantification of Radiographic Finger Joint Space Width of Patients With Early Rheumatoid Arthritis. IEEE Trans. Biomed. Eng. 63 (10) (2016)
Bob D. de Vos, Jessica van Setten, Pim A. de Jong, Willem Mali, Matthijs Oudkerk, Max A. Viergever, Ivana Isgum
Genome-wide association study of coronary and aortic calcification in lung cancer screening CT. Medical Imaging: Image Processing (2016)
José Ramos, Thessa T. J. P. Kockelkorn, Isabel Ramos, Rui Ramos, Jan C. Grutters, Max A. Viergever, Bram van Ginneken, Aurélio J. C. Campilho
Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases. IEEE J. Biomed. Health Informatics 20 (1) (2016)
Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities. MICCAI (2) (2016)
Thessa T. J. P. Kockelkorn, Rui Ramos, José Ramos, Pim A. de Jong, Cornelia Schaefer-Prokop, Rianne Wittenberg, Audrey M. Tiehuis, Jan C. Grutters, Max A. Viergever, Bram van Ginneken
Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures. Frontiers ICT 3 (2016)
Chantal M. W. Tax, Tom C. J. Dela Haije, Andrea Fuster, Carl-Fredrik Westin, Max A. Viergever, Luc Florack, Alexander Leemans
Sheet Probability Index (SPI): Characterizing the geometrical organization of the white matter with diffusion MRI. NeuroImage 142 (2016)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. RAMBO+HVSMR@MICCAI (2016)
Marc M. J. Koppert, Stiliyan Kalitzin, Demetrios N. Velis, Fernando Henrique Lopes da Silva, Max A. Viergever
Preventive and Abortive Strategies for Stimulation Based Control of Epilepsy: A Computational Model Study. Int. J. Neural Syst. 26 (8) (2016)
Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, Ivana Isgum
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network. IEEE Trans. Medical Imaging 35 (5) (2016)
Hugo J. Kuijf, Pim Moeskops, Bob D. de Vos, Willem H. Bouvy, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken
Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities. Medical Imaging: Image Processing (2016)
Bob D. de Vos, Max A. Viergever, Pim A. de Jong, Ivana Isgum
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor. LABELS/DLMIA@MICCAI (2016)
Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Max A. Viergever, Ivana Isgum
2D image classification for 3D anatomy localization: employing deep convolutional neural networks. Medical Imaging: Image Processing (2016)
Adriënne M. Mendrik, Koen L. Vincken, Hugo J. Kuijf, Marcel Breeuwer, Willem H. Bouvy, Jeroen de Bresser, Amir Alansary, Marleen de Bruijne, Aaron Carass, Ayman El-Baz, Amod Jog, Ranveer Katyal, Ali R. Khan, Fedde van der Lijn, Qaiser Mahmood, Ryan Mukherjee, Annegreet van Opbroek, Sahil Paneri, Sérgio Pereira, Mikael Persson, Martin Rajchl, Duygu Sarikaya, Örjan Smedby, Carlos A. Silva, Henri A. Vrooman, Saurabh Vyas, Chunliang Wang, Liang Zhao, Geert Jan Biessels, Max A. Viergever
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 2015 (2015)
Pim Moeskops, Manon J. N. L. Benders, Sabina M. Chita, Karina J. Kersbergen, Floris Groenendaal, Linda S. de Vries, Max A. Viergever, Ivana Isgum
Automatic segmentation of MR brain images of preterm infants using supervised classification. NeuroImage 118 (2015)
Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. 20 (1) (2015)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks. MICCAI (1) (2015)
Ivana Isgum, Manon J. N. L. Benders, Brian B. Avants, Manuel Jorge Cardoso, Serena J. Counsell, Elda Fischi Gomez, Laura Gui, Petra S. Hüppi, Karina J. Kersbergen, Antonios Makropoulos, Andrew Melbourne, Pim Moeskops, Christian P. Mol, Maria Kuklisova-Murgasova, Daniel Rueckert, Julia A. Schnabel, Vedran Srhoj-Egekher, Jue Wu, Siying Wang, Linda S. de Vries, Max A. Viergever
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge. Medical Image Anal. 20 (1) (2015)
Floor van Meer, Laura N. van der Laan, Roger A. H. Adan, Max A. Viergever, Paul A. M. Smeets
What you see is what you eat: An ALE meta-analysis of the neural correlates of food viewing in children and adolescents. NeuroImage 104 (2015)
Bob D. de Vos, Pim A. de Jong, Jelmer M. Wolterink, Rozemarijn Vliegenthart, Geoffrey V. F. Wielingen, Max A. Viergever, Ivana Isgum
Automatic machine learning based prediction of cardiovascular events in lung cancer screening data. Medical Imaging: Computer-Aided Diagnosis (2015)
Jelmer M. Wolterink, Tim Leiner, Richard A. P. Takx, Max A. Viergever, Ivana Isgum
Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection. IEEE Trans. Medical Imaging 34 (9) (2015)
Pieter C. Vos, Edwin Bennink, Hugo W. A. M. de Jong, Birgitta K. Velthuis, Max A. Viergever, Jan-Willem Dankbaar
Automated prediction of tissue outcome after acute ischemic stroke in computed tomography perfusion images. Medical Imaging: Computer-Aided Diagnosis (2015)
Edwin Bennink, Jaap Oosterbroek, Max A. Viergever, Birgitta K. Velthuis, Hugo W. A. M. de Jong
A non-linear regression method for CT brain perfusion analysis. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Hugo J. Kuijf, Willem H. Bouvy, Jaco J. M. Zwanenburg, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken
Automated detection of periventricular veins on 7 T brain MRI. Medical Imaging: Image Processing (2015)
Jaap Oosterbroek, Edwin Bennink, Jan-Willem Dankbaar, Alexander D. Horsch, Max A. Viergever, Birgitta K. Velthuis, Hugo W. A. M. de Jong
Predicting stroke outcome using DCE-CT measured blood velocity. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Pim Moeskops, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum
Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images. Medical Imaging: Image Processing (2015)
Karina J. Kersbergen, Alexander Leemans, Floris Groenendaal, Niek E. van der Aa, Max A. Viergever, Linda S. de Vries, Manon J. N. L. Benders
Microstructural brain development between 30 and 40 weeks corrected age in a longitudinal cohort of extremely preterm infants. NeuroImage 103 (2014)
Hugo J. Kuijf, Susanne J. van Veluw, Mirjam I. Geerlings, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken
Automatic Extraction of the Midsagittal Surface from Brain MR Images using the Kullback-Leibler Measure. Neuroinformatics 12 (3) (2014)
Floris F. Berendsen, Alexis N. T. J. Kotte, Max A. Viergever, Josien P. W. Pluim
Registration of organs with sliding interfaces and changing topologies. Medical Imaging: Image Processing (2014)
Adriënne M. Mendrik, Evert-Jan Vonken, Theo Witkamp, Mathias Prokop, Bram van Ginneken, Max A. Viergever
Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans. STIA (2014)
Sascha E. A. Muenzing, Bram van Ginneken, Max A. Viergever, Josien P. W. Pluim
DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration. Medical Image Anal. 18 (3) (2014)

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Max A. Viergever