JINZHENG CAI
JINZHENG CAI
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TitleCited byYear
Pancreas segmentation in MRI using graph-based decision fusion on convolutional neural networks
J Cai, L Lu, Z Zhang, F Xing, L Yang, Q Yin
International Conference on Medical Image Computing and Computer-Assisted …, 2016
372016
Improving deep pancreas segmentation in CT and MRI images via recurrent neural contextual learning and direct loss function
J Cai, L Lu, Y Xie, F Xing, L Yang
arXiv preprint arXiv:1707.04912, 2017
322017
Kernel-based supervised discrete hashing for image retrieval
X Shi, F Xing, J Cai, Z Zhang, Y Xie, L Yang
European Conference on Computer Vision, 419-433, 2016
282016
Accurate weakly supervised deep lesion segmentation on CT scans: Self-paced 3D mask generation from RECIST
J Cai, Y Tang, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers
arXiv preprint arXiv:1801.08614, 2018
19*2018
Pancreas segmentation in MRI using graph-based decision fusion on convolutional neural networks
J Cai, L Lu, Y Xie, F Xing, L Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2017
182017
Transfer shape modeling towards high-throughput microscopy image segmentation
F Xing, X Shi, Z Zhang, JZ Cai, Y Xie, L Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2016
72016
CT image enhancement using stacked generative adversarial networks and transfer learning for lesion segmentation improvement
Y Tang, J Cai, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers
International Workshop on Machine Learning in Medical Imaging, 46-54, 2018
52018
Pancreas segmentation in CT and MRI images via domain specific network designing and recurrent neural contextual learning
J Cai, L Lu, F Xing, L Yang
arXiv preprint arXiv:1803.11303, 2018
52018
Towards cross-modal organ translation and segmentation: A cycle-and shape-consistent generative adversarial network
J Cai, Z Zhang, L Cui, Y Zheng, L Yang
Medical image analysis 52, 174-184, 2019
42019
Iterative attention mining for weakly supervised thoracic disease pattern localization in chest x-rays
J Cai, L Lu, AP Harrison, X Shi, P Chen, L Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2018
42018
Self-learning for face clustering
X Shi, Z Guo, F Xing, J Cai, L Yang
Pattern Recognition 79, 279-289, 2018
32018
Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping
J Cai, F Xing, A Batra, F Liu, GA Walter, K Vandenborne, L Yang
Pattern recognition 86, 368-375, 2019
22019
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Z Zhang, P Chen, M McGough, F Xing, C Wang, M Bui, Y Xie, M Sapkota, ...
Nature Machine Intelligence 1 (5), 236, 2019
12019
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Z Zhang, P Chen, M McGough, F Xing, C Wang, M Bui, Y Xie, M Sapkota, ...
Nature Machine Intelligence 1 (6), 289, 2019
2019
Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans
J Liu, J Cai, K Chellamuthu, M Bagheri, L Lu, RM Summers
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
2018
Nucleus Detection and Segmentation for Pathology Images Using Deep Convolutional Neural Network and Variational Autoencoder
S Hai, M Sapkota, F Liu, J Cai, P Chen, L Yang
LABORATORY INVESTIGATION 98, 66-66, 2018
2018
Efficient and Robust Cell Segmentation in Breast Microscopy Image using Fully Convolutional Neural Network with Multi-Context Aggregation
Y Xie, P Chen, J Cai, F Xing, L Yang
LABORATORY INVESTIGATION 98, 113-113, 2018
2018
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Articles 1–17