JINZHENG CAI
JINZHENG CAI
PAII Inc.
Verified email at ufl.edu - Homepage
Title
Cited by
Cited by
Year
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
672016
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
622017
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
352016
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
32*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
252017
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
192019
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
The IEEE Winter Conference on Applications of Computer Vision, 3646-3655, 2020
162020
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
162018
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
152018
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
122019
Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning
J Cai, L Lu, F Xing, L Yang
Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019
12*2019
Self-learning for face clustering
X Shi, Z Guo, F Xing, J Cai, L Yang
Pattern Recognition 79, 279-289, 2018
92018
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
82018
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
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
42019
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
42019
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
32018
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
22019
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
12019
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Y Huo, J Cai, CT Cheng, A Raju, K Yan, BA Landman, J Xiao, L Lu, ...
arXiv preprint arXiv:2006.15691, 2020
2020
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Articles 1–20