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Umeå universitet
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Personalbild Minh Hoang Vu

Minh Hoang Vu

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minh.vu@umu.se
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Postdoktor vid Institutionen för diagnostik och intervention
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Besöksadress, se karta
Resource efficient automatic segmentation of medical images
Umeå University medical dissertations, 2219
Vu, Minh Hoang
QU-BraTS: MICCAI BraTS 2020 Challenge on QuantifyingUncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Journal of Machine Learning for Biomedical Imaging : 1-54
Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; et al.
A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation
IEEE Transactions on Medical Imaging, IEEE 2022, Vol. 41, (6) : 1320-1330
Vu, Minh Hoang; Norman, Gabriella; Nyholm, Tufve; et al.
Multi-decoder Networks with Multi-denoising Inputs for Tumor Segmentation
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Springer 2021 : 412-423
Vu, Minh Hoang; Nyholm, Tufve; Löfstedt, Tommy
Evaluation of multislice inputs to convolutional neural networks for medical image segmentation
Medical physics (Lancaster), John Wiley & Sons 2020, Vol. 47, (12) : 6216-6231
Vu, Minh H.; Grimbergen, Guus; Nyholm, Tufve; et al.
A Question-Centric Model for Visual Question Answering in Medical Imaging
IEEE Transactions on Medical Imaging, IEEE 2020, Vol. 39, (9) : 2856-2868
Vu, Minh Hoang; Löfstedt, Tommy; Nyholm, Tufve; et al.
TuNet: End-to-End Hierarchical Brain Tumor Segmentation Using Cascaded Networks
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I, Cham: Springer 2020 : 174-186
Vu, Minh Hoang; Nyholm, Tufve; Löfstedt, Tommy
End-to-end cascaded U-nets with a localization network for kidney tumor segmentation
MICCAI 2019, International Conference on Medical Image Computing and Computer Assisted Intervention, Shenzhen, China, October 13-17, 2019
Vu, Minh Hoang
Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF 2019 Challenge in the Medical Domain
CLEF 2019: Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum
Vu, Minh Hoang; Sznitman, Raphael; Nyholm, Tufve; et al.
Compressing the activation maps in deep convolutional neural networks and the regularization effect of compression
Vu, Minh H.; Garpebring, Anders; Nyholm, Tufve; et al.
Using synthetic images to augment small medical image datasets
Vu, Minh H.; Tronchin, L.; Nyholm, Tufve; et al.
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