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2020 – today
- 2023
[j159]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): 2307-2318 (2023)- [j158]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: 107266 (2023) - [i32]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 abs/2304.13476 (2023) - 2022
- [j157]Steffen Bruns, Jelmer M. Wolterink, Thomas P. W. van den Boogert, Jürgen 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: 105191 (2022) - [j156]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: 102470 (2022) - [i31]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 abs/2205.11967 (2022) - [i30]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 abs/2206.10911 (2022) - 2021
- [j155]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: 117860 (2021) - [c159]Majd Zreik, Nils Hampe, Tim Leiner, Nadih Khalili, 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. Image Processing 2021 - [i29]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 abs/2107.10912 (2021) - 2020
- [j154]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: 101758 (2020) - [j153]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) - [j152]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: 116466 (2020) - [j151]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: 116948 (2020) - [j150]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): 1545-1557 (2020) - [j149]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): 4011-4022 (2020) - [c158]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? Image Processing 2020: 113130G - [i28]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 abs/2007.05295 (2020) - [i27]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 abs/2008.03985 (2020)
2010 – 2019
- 2019
- [j148]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: 46-60 (2019) - [j147]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: 128-143 (2019) - [j146]Samuel St-Jean, Maxime Chamberland, Max A. Viergever, Alexander Leemans:
Reducing variability in along-tract analysis with diffusion profile realignment. NeuroImage 199: 663-679 (2019) - [j145]Floor van Meer, Laura Nynke 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) - [j144]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): 1588-1598 (2019) - [j143]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): 2556-2568 (2019) - [c157]Nadieh Khalili, Elise 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: 320-328 - [c156]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. Image Processing 2019: 109490X - [i26]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 abs/1904.00682 (2019) - [i25]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 abs/1906.04419 (2019) - [i24]Nadieh Khalili, Elise 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 abs/1906.04704 (2019) - [i23]Nadieh Khalili, Nikolas Leßmann, Elise 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 abs/1906.04713 (2019) - [i22]Frank Zijlstra, Max A. Viergever, Peter R. Seevinck:
SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions. CoRR abs/1908.10769 (2019) - [i21]Samuel St-Jean, Max A. Viergever, Alexander Leemans:
Harmonization of diffusion MRI datasets with adaptive dictionary learning. CoRR abs/1910.00272 (2019) - [i20]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 abs/1910.05372 (2019) - [i19]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 abs/1910.06635 (2019) - [i18]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 abs/1911.04940 (2019) - 2018
- [j142]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: 72-85 (2018) - [j141]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: 246-255 (2018) - [j140]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): 615-625 (2018) - [c155]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: 304-312 - [i17]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 abs/1804.04360 (2018) - [i16]Samuel St-Jean, Alberto De Luca, Max A. Viergever, Alexander Leemans:
Automatic, fast and robust characterization of noise distributions for diffusion MRI. CoRR abs/1805.12071 (2018) - [i15]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 abs/1809.06130 (2018) - [i14]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 abs/1810.02277 (2018) - [i13]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 abs/1810.03143 (2018) - 2017
- [j139]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: 162-177 (2017) - [j138]Floor van Meer, Laura Nynke 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: 325-333 (2017) - [j137]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): 2695-2703 (2017) - [j136]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): 1470-1481 (2017) - [j135]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): 2536-2545 (2017) - [c154]Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, Elise 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: 42-51 - [c153]Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum:
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. STACOM@MICCAI 2017: 101-110 - [c152]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: 204-212 - [c151]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. Image Processing 2017: 101330R - [i12]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 abs/1704.03295 (2017) - [i11]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 abs/1704.03379 (2017) - [i10]Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum:
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. CoRR abs/1704.03669 (2017) - [i9]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 abs/1704.05629 (2017) - [i8]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 abs/1704.05698 (2017) - [i7]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 abs/1704.06065 (2017) - [i6]Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum:
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. CoRR abs/1708.01141 (2017) - [i5]Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, Elise 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 abs/1708.02282 (2017) - [i4]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 abs/1711.00349 (2017) - [i3]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 abs/1711.08917 (2017) - [i2]Bob D. de Vos, Nikolas Leßmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum:
Direct and Real-Time Cardiovascular Risk Prediction. CoRR abs/1712.02982 (2017) - 2016
- [j134]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: 33 (2016) - [j133]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): 1650028:1-1650028:11 (2016) - [j132]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: 140-144 (2016) - [j131]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: 123-136 (2016) - [j130]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: 117-132 (2016) - [j129]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: 260-279 (2016) - [j128]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: 301-310 (2016) - [j127]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): 2177-2186 (2016) - [j126]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): 281-292 (2016) - [j125]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): 1252-1261 (2016) - [c150]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: 40-43 - [c149]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. Computer-Aided Diagnosis 2016: 978511 - [c148]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: 95-102 - [c147]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: 161-169 - [c146]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: 478-486 - [c145]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. Image Processing 2016: 97841L - [c144]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. Image Processing 2016: 97841Y - [c143]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. Image Processing 2016: 978421 - 2015
- [j124]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: 813696:1-813696:16 (2015) - [j123]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): 135-151 (2015) - [j122]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, Faik 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): 237-248 (2015) - [j121]Floor van Meer, Laura Nynke 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: 35-43 (2015) - [j120]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: 628-641 (2015) - [j119]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): 1867-1878 (2015) - [c142]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94170I - [c141]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171Q - [c140]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. Computer-Aided Diagnosis 2015: 94140D - [c139]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. Computer-Aided Diagnosis 2015: 941412 - [c138]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: 589-596 - [c137]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. Image Processing 2015: 94132T - [c136]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. Image Processing 2015: 941315 - 2014
- [j118]Marcus Koppert, Stiliyan Kalitzin, Demetrios N. Velis, Fernando Henrique Lopes da Silva, Max A. Viergever:
Dynamics of Collective Multi-stability in Models of Multi-Unit neuronal Systems. Int. J. Neural Syst. 24(2) (2014) - [j117]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): 449-459 (2014) - [j116]Chantal M. W. Tax, Ben Jeurissen, Sjoerd B. Vos, Max A. Viergever, Alexander Leemans:
Recursive calibration of the fiber response function for spherical deconvolution of diffusion MRI data. NeuroImage 86: 67-80 (2014) - [j115]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: 214-224 (2014) - [j114]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): 395-403 (2014) - [j113]Mitko Veta, Josien P. W. Pluim, Paul J. van Diest, Max A. Viergever:
Breast Cancer Histopathology Image Analysis: A Review. IEEE Trans. Biomed. Eng. 61(5): 1400-1411 (2014) - [j112]Mitko Veta, Josien P. W. Pluim, Paul J. van Diest, Max A. Viergever:
Corrections to "Breast Cancer Histopathology Image Analysis: A Review". IEEE Trans. Biomed. Eng. 61(11): 2819 (2014) - [c135]Jelmer M. Wolterink, Tim Leiner, Richard A. P. Takx, Max A. Viergever, Ivana Isgum:
An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT. Computer-Aided Diagnosis 2014: 90350E - [c134]