| 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 | 479 | 2019 |
| Cia-net: Robust nuclei instance segmentation with contour-aware information aggregation Y Zhou, OF Onder, Q Dou, E Tsougenis, H Chen, PA Heng Information Processing in Medical Imaging: 26th International Conference …, 2019 | 229 | 2019 |
| CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Y Zhou, S Graham, NA Koohbanani, M Shaban, PA Heng, N Rajpoot The IEEE International Conference on Computer Vision (ICCV) Workshops, 2019 | 219 | 2019 |
| C3-semiseg: Contrastive semi-supervised segmentation via cross-set learning and dynamic class-balancing Y Zhou, H Xu, W Zhang, B Gao, PA Heng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 90 | 2021 |
| Deep learning for computational cytology: A survey H Jiang, Y Zhou, Y Lin, RCK Chan, J Liu, H Chen Medical Image Analysis 84, 102691, 2023 | 84 | 2023 |
| Sfcn-opi: Detection and fine-grained classification of nuclei using sibling fcn with objectness prior interaction Y Zhou, Q Dou, H Chen, J Qin, PA Heng Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 60 | 2018 |
| IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation Y Zhou, H Chen, J Xu, Q Dou, PA Heng MICCAI 2019, 2019 | 57 | 2019 |
| Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation Y Zhou, H Chen, H Lin, PA Heng the 23rd International Conference on Medical Image Computing and Computer …, 2020 | 53 | 2020 |
| Donet: Deep de-overlapping network for cytology instance segmentation H Jiang, R Zhang, Y Zhou, Y Wang, H Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 29 | 2023 |
| OXnet: deep omni-supervised thoracic disease detection from chest X-rays L Luo, H Chen, Y Zhou, H Lin, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 28 | 2021 |
| Rethinking annotation granularity for overcoming shortcuts in deep learning–based radiograph diagnosis: A multicenter study L Luo, H Chen, Y Xiao, Y Zhou, X Wang, V Vardhanabhuti, M Wu, C Han, ... Radiology: Artificial Intelligence 4 (5), e210299, 2022 | 16 | 2022 |
| Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrian Colomer, Valery Naranjo, Linmin Pei, Khan M N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Anibal Pedraza, Maria …, 2020 | 12 | 2020 |
| Efficient Learning for High Dimensional Medical Image Computing: from Micro to Macro Y Zhou PQDT-Global, 2021 | 1 | 2021 |
