Quoc Dang Vu
Cited by
Cited by
Bach: Grand challenge on breast cancer histology images
G Aresta, T Ara˙jo, S Kwok, SS Chennamsetty, M Safwan, V Alex, ...
Medical image analysis 56, 122-139, 2019
Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
S Graham, QD Vu, SEA Raza, A Azam, YW Tsang, JT Kwak, N Rajpoot
Medical Image Analysis 58, 101563, 2019
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
Methods for segmentation and classification of digital microscopy tissue images
QD Vu, S Graham, T Kurc, MNN To, M Shaban, T Qaiser, NA Koohbanani, ...
Frontiers in bioengineering and biotechnology 7, 53, 2019
A dense multi-path decoder for tissue segmentation in histopathology images
QD Vu, JT Kwak
Computer methods and programs in biomedicine 173, 119-129, 2019
Micro and macro breast histology image analysis by partial network re-use
QD Vu, MNN To, E Kim, JT Kwak
International Conference Image Analysis and Recognition, 895-902, 2018
MoNuSAC2020: A Multi-organ Nuclei Segmentation and Classification Challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging, 2021
Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks
QD Vu, K Kim, JT Kwak
IEEE journal of biomedical and health informatics 25 (2), 348-357, 2020
Digital histological markers based on routine H&E slides to predict benefit from maintenance immunotherapy in esophagogastric adenocarcinoma.
QD Vu, C Fong, K von Loga, SEA Raza, D Nava Rodrigues, B Patel, ...
Journal of Clinical Oncology 39 (15_suppl), e16074-e16074, 2021
HoVer-Net: Multi-Organ Nuclear Segmentation and Classification
S Graham, QD Vu, M Zwager, SEA Raza, N Rajpoot
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