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Umeå University
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Staff photo Minh Hoang Vu

Minh Hoang Vu

Contact

E-mail
minh.vu@umu.se
Phone

Works at

Affiliation
Postdoctoral fellow at Department of Diagnostics and Intervention
Location
Visiting address, view map
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.
View publications in DiVA

Research groups

Group member
Complex systems
Tufve Nyholm Lab