| 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 | 454 | 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 | 417 | 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 | 213 | 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 | 166 | 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 | 52 | 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 | 45 | 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 | 32* | 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 | 18 | 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 | 11* | 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 | 10 | 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 | 9 | 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 | 8 | 2020 |
| Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images QD Vu, K Rajpoot, SEA Raza, N Rajpoot Medical Image Analysis, 102743, 2023 | 3 | 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 | 1 | 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 | | 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 | | 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 | | 2022 |
