Hugo J. Kuijf
Orcid: 0000-0001-6997-9059Affiliations:
- University Medical Center Utrecht, The Netherlands
According to our database1,
Hugo J. Kuijf
authored at least 45 papers
between 2011 and 2024.
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Bibliography
2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024
2023
Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection.
IEEE Trans. Medical Imaging, November, 2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023
Effect of latent space distribution on the segmentation of images with multiple annotations.
CoRR, 2023
Assessment of cerebral vascular abnormality quantification technique to aid aneurysm localization.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Calibration techniques for node classification using graph neural networks on medical image data.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Blood Flow Velocity Pulsatility and Arterial Diameter Pulsatility Measurements of the Intracranial Arteries Using 4D PC-MRI.
Neuroinformatics, 2022
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis.
Medical Image Anal., 2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection.
CoRR, 2022
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
NeuroImage, 2021
Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network.
Medical Image Anal., 2021
CoRR, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Extending Probabilistic U-Net Using MC-Dropout to Quantify Data and Model Uncertainty.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
NeuroImage, 2020
2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019
Liver segmentation and metastases detection in MR images using convolutional neural networks.
CoRR, 2019
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2016
Erratum to "Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment" [NeuroImage 61 (2012) 1043-1049].
NeuroImage, 2016
Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.
Comput. Intell. Neurosci., 2015
Proceedings of the Medical Imaging 2015: Image Processing, 2015
2014
Automatic Extraction of the Midsagittal Surface from Brain MR Images using the Kullback-Leibler Measure.
Neuroinformatics, 2014
2013
Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
NeuroImage, 2012
Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform.
NeuroImage, 2012
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012
2011
Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011