Quoc Dang Vu
Orcid: 0000-0003-2075-9201
According to our database1,
Quoc Dang Vu
authored at least 23 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images.
CoRR, 2024
An AI based Digital Score of Tumour-Immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma.
CoRR, 2024
2023
Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images.
Medical Image Anal., April, 2023
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification.
Medical Image Anal., 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
CoRR, 2023
2022
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification.
CoRR, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE J. Biomed. Health Informatics, 2021
2020
2019
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.
Medical Image Anal., 2019
Comput. Methods Programs Biomed., 2019
Scale embedding shared neural networks for multiscale histological analysis of prostate cancer.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
2018
CoRR, 2018
Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018