| Melanoma recognition in dermoscopy images via aggregated deep convolutional features Z Yu, X Jiang, F Zhou, J Qin, D Ni, S Chen, B Lei, T Wang IEEE Transactions on Biomedical Engineering 66 (4), 1006-1016, 2018 | 253 | 2018 |
| Dense deconvolutional network for skin lesion segmentation H Li, X He, F Zhou, Z Yu, D Ni, S Chen, T Wang, B Lei IEEE journal of biomedical and health informatics 23 (2), 527-537, 2018 | 160 | 2018 |
| A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning H Lei, T Han, F Zhou, Z Yu, J Qin, A Elazab, B Lei Pattern Recognition 79, 290-302, 2018 | 126 | 2018 |
| A deep convolutional neural network-based framework for automatic fetal facial standard plane recognition Z Yu, EL Tan, D Ni, J Qin, S Chen, S Li, B Lei, T Wang IEEE journal of biomedical and health informatics 22 (3), 874-885, 2017 | 112 | 2017 |
| Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector Z Yu, D Ni, S Chen, J Qin, S Li, T Wang, B Lei 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 52 | 2017 |
| A machine-learning-based risk-prediction tool for HIV and sexually transmitted infections acquisition over the next 12 months X Xu, Z Ge, EPF Chow, Z Yu, D Lee, J Wu, JJ Ong, CK Fairley, L Zhang Journal of clinical medicine 11 (7), 1818, 2022 | 49 | 2022 |
| Convolutional descriptors aggregation via cross-net for skin lesion recognition Z Yu, F Jiang, F Zhou, X He, D Ni, S Chen, T Wang, B Lei Applied Soft Computing 92, 106281, 2020 | 48 | 2020 |
| Early Melanoma Diagnosis with Sequential Dermoscopic Images Z Yu, J Nguyen, TD Nguyen, J Kelly, C Mclean, P Bonnington, L Zhang, ... IEEE Transactions on Medical Imaging, 2021 | 45 | 2021 |
| Aggregating deep convolutional features for melanoma recognition in dermoscopy images Z Yu, X Jiang, T Wang, B Lei Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 42 | 2017 |
| Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation X He, Z Yu, T Wang, B Lei, Y Shi Technology and Health Care 26 (S1), 307-316, 2018 | 37 | 2018 |
| Web-based risk prediction tool for an individual's risk of HIV and sexually transmitted infections using machine learning algorithms: development and external validation study X Xu, Z Yu, Z Ge, EPF Chow, Y Bao, JJ Ong, W Li, J Wu, CK Fairley, ... Journal of Medical Internet Research 24 (8), e37850, 2022 | 32 | 2022 |
| Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision S Yan, Z Yu, X Zhang, D Mahapatra, SS Chandra, M Janda, P Soyer, Z Ge Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| Cnn in ct image segmentation: Beyond loss function for exploiting ground truth images Y Song, Z Yu, T Zhou, JYC Teoh, B Lei, KS Choi, J Qin 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 325-328, 2020 | 25 | 2020 |
| Fetal facial standard plane recognition via very deep convolutional networks Z Yu, D Ni, S Chen, S Li, T Wang, B Lei 2016 38th annual international conference of the IEEE Engineering in …, 2016 | 21 | 2016 |
| End-to-end ugly duckling sign detection for melanoma identification with transformers Z Yu, V Mar, A Eriksson, S Chandra, P Bonnington, L Zhang, Z Ge Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 18 | 2021 |
| Skin lesion recognition with class-hierarchy regularized hyperbolic embeddings Z Yu, T Nguyen, Y Gal, L Ju, SS Chandra, L Zhang, P Bonnington, V Mar, ... International conference on medical image computing and computer-assisted …, 2022 | 16 | 2022 |
| Skin lesion segmentation via deep RefineNet X He, Z Yu, T Wang, B Lei Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 16 | 2017 |
| Hierarchical knowledge guided learning for real-world retinal disease recognition L Ju, Z Yu, L Wang, X Zhao, X Wang, P Bonnington, Z Ge IEEE Transactions on Medical Imaging, 2023 | 15 | 2023 |
| Cross-modal transfer learning for HEp-2 cell classification based on deep residual network H Lei, T Han, W Huang, JY Kuo, Z Yu, X He, B Lei 2017 IEEE International Symposium on Multimedia (ISM), 465-468, 2017 | 12 | 2017 |
| Epvt: Environment-aware prompt vision transformer for domain generalization in skin lesion recognition S Yan, C Liu, Z Yu, L Ju, D Mahapatra, V Mar, M Janda, P Soyer, Z Ge International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 11 | 2023 |
Baiying LeiDistinguished Professor of Shenzhen UniversityAdresse e-mail validée de email.unc.edu