Zhen Yu
Zhen Yu
Central Clinical School, Monash University
Verified email at monash.edu
Title
Cited by
Cited by
Year
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
872018
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
732018
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
572018
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
562017
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
262017
Aggregating deep convolutional features for melanoma recognition in dermoscopy images
Z Yu, X Jiang, T Wang, B Lei
International workshop on machine learning in medical imaging, 238-246, 2017
242017
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
172018
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
122020
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
112016
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
92020
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
62017
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
62017
Deeply supervised residual network for HEp-2 cell classification
H Xie, Y He, H Lei, T Han, Z Yu, B Lei
2018 24th International Conference on Pattern Recognition (ICPR), 699-703, 2018
42018
Learning 3d features with 2d cnns via surface projection for ct volume segmentation
Y Song, Z Yu, T Zhou, JYC Teoh, B Lei, KS Choi, J Qin
International Conference on Medical Image Computing and Computer-Assisted …, 2020
32020
Skin lesion segmentation via dense connected deconvolutional network
H Li, X He, Z Yu, F Zhou, JZ Cheng, L Huang, T Wang, B Lei
2018 24th International Conference on Pattern Recognition (ICPR), 671-675, 2018
22018
Melanoma diagnosis with spatio-temporal feature learning on sequential dermoscopic images
Z Yu, J Nguyen, X Chang, J Kelly, C Mclean, L Zhang, V Mar, Z Ge
arXiv preprint arXiv:2006.10950, 2020
12020
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images
Y Song, Z Yu, T Zhou, JYC Teoh, B Lei, KS Choi, J Qin
arXiv preprint arXiv:2004.03882, 2020
2020
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