Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform. - Hugo J. Kuijf; Jeroen de Bresser; Geert Jan Biessels; Max A. Viergever; Koen L. Vincken (ISBI, 2011)

Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images. - Hugo J. Kuijf; Max A. Viergever; Koen L. Vincken (MCV, 2012)

Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform. - Hugo J. Kuijf; Jeroen de Bresser; Mirjam I. Geerlings; Mandy M. A. Conijn; Max A. Viergever; Geert Jan Biessels; Koen L. Vincken (NeuroImage, 2012)

Subfields of the hippocampal formation at 7 T MRI: In vivo volumetric assessment. - Laura E. M. Wisse; L. Gerritsen; Jaco J. M. Zwanenburg; Hugo J. Kuijf; Peter R. Luijten; Geert Jan Biessels; Mirjam I. Geerlings (NeuroImage, 2012)

Detecting cortical cerebral microinfarcts in 7.0 T MR images. - Hugo Jaco Kuijf; Frank Zijlstra; Susanne J. van Veluw; Max A. Viergever; Koen L. Vincken; Geert Jan Biessels (ISBI, 2013)

Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping. - Hugo J. Kuijf; J. Matthijs Biesbroek; Max A. Viergever; Geert Jan Biessels; Koen L. Vincken (MBIA, 2013)

Automatic Extraction of the Midsagittal Surface from Brain MR Images using the Kullback-Leibler Measure. - Hugo J. Kuijf; Susanne J. van Veluw; Mirjam I. Geerlings; Max A. Viergever; Geert Jan Biessels; Koen L. Vincken (Neuroinformatics, 2014)

Automated detection of periventricular veins on 7 T brain MRI. - Hugo J. Kuijf; Willem H. Bouvy; Jaco J. M. Zwanenburg; Max A. Viergever; Geert Jan Biessels; Koen L. Vincken (Image Processing, 2015)

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. - 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; et al. (Comput. Intell. Neurosci., 2015)

Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. - Renata G. Raidou; Hugo J. Kuijf; Neda Sepasian; Nicola Pezzotti; Willem H. Bouvy; Marcel Breeuwer; Anna Vilanova (MICCAI (2), 2016)

Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities. - Hugo J. Kuijf; Pim Moeskops; Bob D. de Vos; Willem H. Bouvy; Jeroen de Bresser; Geert Jan Biessels; Max A. Viergever; Koen L. Vincken (Image Processing, 2016)

Erratum to "Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment" [NeuroImage 61 (2012) 1043-1049]. - Laura E. M. Wisse; L. Gerritsen; Jaco J. M. Zwanenburg; Hugo J. Kuijf; Peter R. Luijten; Geert Jan Biessels; Mirjam I. Geerlings (NeuroImage, 2016)

Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study. - Mariëlle J. A. Jansen; Hugo J. Kuijf; Josien P. W. Pluim (ISBI, 2018)

Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. - Bas H. M. van der Velden; Bob D. de Vos; Claudette E. Loo; Hugo J. Kuijf; Ivana Isgum; Kenneth G. A. Gilhuijs (Computer-Aided Diagnosis, 2019)

Subvoxel vessel wall thickness measurements from vessel wall MR images. - Kees M. van Hespen; Jaco J. M. Zwanenburg; Jeroen Hendrikse; Hugo J. Kuijf (Image Processing, 2019)

Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. - Mariëlle J. A. Jansen; Hugo J. Kuijf; Josien P. W. Pluim (Image Processing, 2019)

Liver segmentation and metastases detection in MR images using convolutional neural networks. - Mariëlle J. A. Jansen; Hugo J. Kuijf; Maarten Niekel; Wouter B. Veldhuis; Frank J. Wessels; Max A. Viergever; Josien P. W. Pluim (CoRR, 2019)

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. - Hugo J. Kuijf; Adrià Casamitjana; D. Louis Collins; Mahsa Dadar; Achilleas Georgiou; Mohsen Ghafoorian; Dakai Jin; April Khademi; Jesse Knight; Hongwei Li 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies. - Henk J. M. M. Mutsaerts; Jan Petr; Paul F. C. Groot; Pieter Vandemaele; Silvia Ingala; Andrew D. Robertson; Lena Václavu; Inge R. Groote; Hugo J. Kuijf; Fernando O. Zelaya; Owen G. O'Daly; Saima Hilal; et al. (NeuroImage, 2020)

Extending Probabilistic U-Net Using MC-Dropout to Quantify Data and Model Uncertainty. - Ishaan Bhat; Hugo J. Kuijf (BrainLes@MICCAI (2), 2021)

Using Uncertainty Estimation To Reduce False Positives In Liver Lesion Detection. - Ishaan Bhat; Hugo J. Kuijf; Veronika Cheplygina; Josien P. W. Pluim (ISBI, 2021)

Variational autoencoders with a structural similarity loss in time of flight MRAs. - Kimberley M. Timmins; Irene C. van der Schaaf; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (Image Processing, 2021)

Automatic cerebral vessel extraction in TOF-MRA using deep learning. - V. de Vos; Kimberley M. Timmins; Irene C. van der Schaaf; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (Image Processing, 2021)

MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net. - Hugo J. Kuijf (CoRR, 2021)

MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds. - Marta Gironés-Sangüesa; Denis Kutnar; Bas H. M. van der Velden; Hugo J. Kuijf (CoRR, 2021)

MixLacune: Segmentation of lacunes of presumed vascular origin. - Denis Kutnar; Bas H. M. van der Velden; Marta Gironés-Sangüesa; Mirjam I. Geerlings; J. Matthijs Biesbroek; Hugo J. Kuijf (CoRR, 2021)

Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network. - Kees M. van Hespen; Jaco J. M. Zwanenburg; Jeroen Hendrikse; Hugo J. Kuijf (Medical Image Anal., 2021)

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. - Kimberley M. Timmins; Irene C. van der Schaaf; Edwin Bennink; Ynte M. Ruigrok; Xingle An; Michael Baumgartner 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

Deep learning with vessel surface meshes for intracranial aneurysm detection. - Kimberley M. Timmins; Irene C. van der Schaaf; Iris N. Vos; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (Computer-Aided Diagnosis, 2022)

Generalized Probabilistic U-Net for Medical Image Segementation. - Ishaan Bhat; Josien P. W. Pluim; Hugo J. Kuijf (UNSURE@MICCAI, 2022)

Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks. - Kimberley M. Timmins; Maarten J. Kamphuis; Iris N. Vos; Birgitta K. Velthuis; Irene C. van der Schaaf; Hugo J. Kuijf (EPIMI/ML-CDS@MICCAI, 2022)

Progressive GANomaly: anomaly detection with progressively growing GANs. - Djennifer K. Madzia-Madzou; Hugo J. Kuijf (Image Processing, 2022)

Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets. - Iris N. Vos; Ynte M. Ruigrok; Kimberley M. Timmins; Birgitta K. Velthuis; Hugo J. Kuijf (Image Processing, 2022)

Assessment of manual and automated intracranial artery diameter measurements. - Iris N. Vos; Maud E. H. Ophelders; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (Image Perception, Observer Performance, and Technology Assessment, 2022)

Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection. - Ishaan Bhat; Josien P. W. Pluim; Max A. Viergever; Hugo J. Kuijf (CoRR, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. - Bas H. M. van der Velden; Hugo J. Kuijf; Kenneth G. A. Gilhuijs; Max A. Viergever (Medical Image Anal., 2022)

Blood Flow Velocity Pulsatility and Arterial Diameter Pulsatility Measurements of the Intracranial Arteries Using 4D PC-MRI. - Kees M. van Hespen; Hugo J. Kuijf; Jeroen Hendrikse; Peter R. Luijten; Jaco J. M. Zwanenburg (Neuroinformatics, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Calibration techniques for node classification using graph neural networks on medical image data. - Iris N. Vos; Ishaan Bhat; Birgitta K. Velthuis; Ynte M. Ruigrok; Hugo J. Kuijf (MIDL, 2023)

Assessment of cerebral vascular abnormality quantification technique to aid aneurysm localization. - Giulia de Donno; Kimberley M. Timmins; Hugo J. Kuijf (Image Perception, Observer Performance, and Technology Assessment, 2023)

Effect of latent space distribution on the segmentation of images with multiple annotations. - Ishaan Bhat; Josien P. W. Pluim; Max A. Viergever; Hugo J. Kuijf (CoRR, 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (CoRR, 2023)

Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection. - Kimberley M. Timmins; Irene C. van der Schaaf; Iris N. Vos; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (IEEE Trans. Medical Imaging, 2023)

Exploring the Use of Off-the-Shelf AI Models for Complex Medical Tasks: ResNet18 for Predicting Age-Related Macular Degeneration. - Amerens A. Bekkers; Nina M. van Liebergen; Hugo J. Kuijf (DIAMOND/MARIO@MICCAI, 2024)

Synthesizing Classifiers from Prior Knowledge. - Gertjan J. Burghouts; Klamer Schutte; Maarten Kruithof; Wyke Huizinga; Frank Ruis; Hugo J. Kuijf (VISIGRAPP (2): VISAPP, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge. - Iris N. Vos; Ynte M. Ruigrok; Edwin Bennink; Mireille R. E. Velthuis; Barbara Paic; Maud E. H. Ophelders; Myrthe A. D. Buser; Bas H. M. van der Velden; Chen Geng 002; Matthieu Coupet; Félix Dumais; Adrian Galdran; et al. (Medical Image Anal., 2025)

Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023. - Myrthe A. D. Buser; D. C. Simons; M. Fitski; Marc H. W. A. Wijnen; A. S. Littooij; A. H. ter Brugge; Iris N. Vos; Markus H. A. Janse; M. den Boer; R. ter Maat; Junya Sato; S. Kido; et al. (CoRR, 2025)

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. - Rachid Zeghlache; Ikram Brahim; Pierre-Henri Conze; Mathieu Lamard; Mohammed El Amine Lazouni; Elaouaber Zineb Aziza; Leila Ryma Lazouni; Christopher Nielsen; Ahmad O. Ahsan; Matthias Wilms; Nils D. Forkert; Lovre Antonio Budimir; et al. (CoRR, 2025)

Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting. - Frank Ruis; Gertjan J. Burghouts; Hugo J. Kuijf (CoRR, 2025)