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Max A. Viergever

Eindhoven University of Technology · NL
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Area of research
Radiology, Nuclear Medicine and Imaging · Computer Vision and Pattern Recognition
Research interest
Research interests include Medical Image Segmentation Techniques, Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications, and Advanced Neuroimaging Techniques and Applications.
h-index
105
citations
59,212
works
765
NIH funding
primary concept
email

Recent publications

Influence of learned landmark correspondences on lung CT registration.
2024cited by 0position: selecteddoi
Deep Learning‐Based Segmentation of Locally Advanced Breast Cancer on <scp>MRI</scp> in Relation to Residual Cancer Burden: A Multi‐Institutional Cohort Study
Journal of Magnetic Resonance Imaging 2023cited by 19position: middledoi
Thermosensitive Biodegradable Hydrogels for Local and Controlled Cerebral Delivery of Proteins: MRI-Based Monitoring of <i>In Vitro</i> and <i>In Vivo</i> Protein Release
ACS Biomaterials Science & Engineering 2023cited by 17position: middledoi
Automatic Assessment of Lower-Limb Alignment from Computed Tomography.
2023cited by 16position: contributordoi
Deep Learning-Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi-Institutional Cohort Study.
2023cited by 11position: contributordoi
Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations.
2023cited by 3position: contributordoi
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Medical Image Analysis 2022cited by 1,159position: lastdoi
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis.
2022cited by 420position: contributordoi
Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT.
2022cited by 20position: contributordoi
Synthetic CT for the planning of MR-HIFU treatment of bone metastases in pelvic and femoral bones: a feasibility study
European Radiology 2022cited by 19position: middledoi
Efficient cascaded V-net optimization for lower extremity CT segmentation validated using bone morphology assessment.
2022cited by 11position: contributordoi
MRI‐based synthetic CT shows equivalence to conventional CT for the morphological assessment of the hip joint
Journal of Orthopaedic Research® 2021cited by 54position: middledoi
AI-Based Quantification of Planned Radiation Therapy Dose to Cardiac Structures and Coronary Arteries in Patients With Breast Cancer
International Journal of Radiation Oncology*Biology*Physics 2021cited by 25position: middledoi
AI-Based Radiation Dose Quantification for Estimation of Heart Disease Risk in Breast Cancer Survivors After Radiation Therapy
International Journal of Radiation Oncology*Biology*Physics 2021cited by 23position: middledoi
CT to MR registration of complex deformations in the knee joint through dual quaternion interpolation of rigid transforms.
2021cited by 3position: contributordoi
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images.
2020cited by 39position: contributordoi
Computer-Aided Diagnosis in Multiparametric Magnetic Resonance Imaging Screening of Women With Extremely Dense Breasts to Reduce False-Positive Diagnoses
Investigative Radiology 2020cited by 35position: middledoi
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data
NeuroImage 2020cited by 32position: middledoi
Comparison of the Biograph Vision and Biograph mCT for quantitative 90Y PET/CT imaging for radioembolisation
EJNMMI Physics 2020cited by 31position: middledoi
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
IEEE Transactions on Medical Imaging 2019cited by 301position: middledoi
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
Magnetic Resonance Imaging 2019cited by 135position: middledoi
Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels
Magnetic Resonance in Medicine 2019cited by 125position: middledoi
Automatic classification of focal liver lesions based on MRI and risk factors
PLoS ONE 2019cited by 82position: middledoi
Automated remote fall detection using impact features from video and audio
Journal of Biomechanics 2019cited by 58position: middledoi
The adverse effect of gradient nonlinearities on diffusion MRI: From voxels to group studies
NeuroImage 2019cited by 50position: middledoi
Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers
JACC. Cardiovascular imaging 2019cited by 47position: middledoi
Accelerated SPECT image reconstruction with FBP and an image enhancement convolutional neural network
EJNMMI Physics 2019cited by 45position: middledoi
Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks
NeuroImage Clinical 2019cited by 37position: middledoi
The Superoanterior Fasciculus (SAF): A Novel White Matter Pathway in the Human Brain?
Frontiers in Neuroanatomy 2019cited by 33position: middledoi
A deep learning framework for unsupervised affine and deformable image registration
Medical Image Analysis 2018cited by 821position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Ivana Išgum · Radboud University Nijmegen25 papers (2012–2021)Manon J.N.L. Benders · Utrecht University11 papers (2013–2019)Linda S. de Vries · Willem-Alexander Kinderziekenhuis9 papers (2013–2017)Tim Leiner · Mayo Clinic8 papers (2015–2021)Floris Groenendaal · University Children's Hospital Tübingen8 papers (2013–2017) · 8 papers (2020–2023)Hugo W. A. M. de Jong · Utrecht University7 papers (2012–2020)Pim Moeskops · Utrecht University6 papers (2014–2019)Karina J. Kersbergen · Utrecht University6 papers (2014–2017)Peter R. Seevinck · Utrecht University6 papers (2012–2022)Jelmer M. Wolterink · University of Twente6 papers (2015–2021)Nikolas Leßmann · Utrecht University5 papers (2017–2019)Robbert W. van Hamersvelt · Utrecht University5 papers (2016–2018)Pim A. de Jong · University of Cincinnati5 papers (2013–2019)Alexander Leemans · University of Applied Sciences Utrecht5 papers (2014–2020)Bram van Ginneken · Radboud University Nijmegen4 papers (2012–2019)Nathalie H.P. Claessens · Utrecht University4 papers (2016–2019)Josien P. W. Pluim · Utrecht University4 papers (2013–2019)Hugo J. Kuijf · University Medical Center Utrecht4 papers (2013–2022)Frank Zijlstra · Utrecht University4 papers (2015–2021)
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