JINZHENG CAI
JINZHENG CAI
PAII Inc.
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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
852017
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
842016
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), 236-245, 2019
702019
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
412016
3d semi-supervised learning with uncertainty-aware multi-view co-training
Y Xia, F Liu, D Yang, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
372020
Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d recist
J Cai, Y Tang, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers
International Conference on Medical Image Computing and Computer-Assisted …, 2018
372018
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
292018
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
282019
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
282017
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
272018
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
182018
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
162019
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Y Xia, D Yang, Z Yu, F Liu, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth
Medical Image Analysis 65, 101766, 2020
142020
Local and global consistency regularized mean teacher for semi-supervised nuclei classification
H Su, X Shi, J Cai, L Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2019
132019
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
In International Conference on Medical Image Computing and Computer-Assisted …, 2018
122018
Self-learning for face clustering
X Shi, Z Guo, F Xing, J Cai, L Yang
Pattern Recognition 79, 279-289, 2018
92018
Integrating 3d geometry of organ for improving medical image segmentation
J Yao, J Cai, D Yang, D Xu, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2019
82019
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
82016
End-to-end adversarial shape learning for abdomen organ deep segmentation
J Cai, Y Xia, D Yang, D Xu, L Yang, H Roth
International Workshop on Machine Learning in Medical Imaging, 124-132, 2019
72019
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
A Raju, CT Cheng, Y Huo, J Cai, J Huang, J Xiao, L Lu, CH Liao, ...
ECCV 2020 12368, 2020
62020
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