|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
|Bach: Grand challenge on breast cancer histology images|
G Aresta, T Araújo, S Kwok, SS Chennamsetty, M Safwan, V Alex, ...
Medical image analysis 56, 122-139, 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, 53, 2019
|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 40 (12), 3413-3423, 2021
|Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging|
MNN To, DQ Vu, B Turkbey, PL Choyke, JT Kwak
International journal of computer assisted radiology and surgery 13, 1687-1696, 2018
|CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting|
S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ...
arXiv preprint arXiv:2303.06274, 2023
|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
|TIAToolbox as an end-to-end library for advanced tissue image analytics|
J Pocock, S Graham, QD Vu, M Jahanifar, S Deshpande, ...
Communications medicine 2 (1), 120, 2022
|One model is all you need: multi-task learning enables simultaneous histology image segmentation and classification|
S Graham, QD Vu, M Jahanifar, SEA Raza, F Minhas, D Snead, N Rajpoot
Medical Image Analysis 83, 102685, 2023
|Micro and macro breast histology image analysis by partial network re-use|
QD Vu, MNN To, E Kim, JT Kwak
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
|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
|Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images|
QD Vu, K Rajpoot, SEA Raza, N Rajpoot
Medical Image Analysis, 102743, 2023
|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
|IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification|
TTL Vuong, QD Vu, M Jahanifar, S Graham, JT Kwak, N Rajpoot
Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023
|Nuclear Segmentation and Classification: On Color and Compression Generalization|
QD Vu, R Jewsbury, S Graham, M Jahanifar, SEA Raza, F Minhas, ...
Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022 …, 2022
|Digital score of Ki67 in prostate cancer is associated with high-grade disease and presence of metastasis|
QD Vu, L Mendes, CD Brawley, S Raza, E Grist, A Ali, SS Vidal, M Parry, ...
VIRCHOWS ARCHIV 481 (SUPPL 1), S48-S49, 2022