Следене
JINZHENG CAI
JINZHENG CAI
Потвърден имейл адрес: microsoft.com
Заглавие
Позовавания
Позовавания
Година
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
1782019
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
1492017
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
1462016
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
1062020
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
992020
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
72*2018
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
652019
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
522018
Kernel-based supervised discrete hashing for image retrieval
X Shi, F Xing, J Cai, Z Zhang, Y Xie, L Yang
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
512016
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
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
462018
Learning from multiple datasets with heterogeneous and partial labels for universal lesion detection in CT
K Yan, J Cai, Y Zheng, AP Harrison, D Jin, Y Tang, Y Tang, L Huang, ...
IEEE Transactions on Medical Imaging 40 (10), 2759-2770, 2020
432020
Local and global consistency regularized mean teacher for semi-supervised nuclei classification
H Su, X Shi, J Cai, L Yang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
392019
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
322018
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
312019
SAM: Self-supervised learning of pixel-wise anatomical embeddings in radiological images
K Yan, J Cai, D Jin, S Miao, D Guo, AP Harrison, Y Tang, J Xiao, J Lu, ...
IEEE Transactions on Medical Imaging 41 (10), 2658-2669, 2022
262022
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
242020
Lymph node gross tumor volume detection in oncology imaging via relationship learning using graph neural network
CH Chao, Z Zhu, D Guo, K Yan, TY Ho, J Cai, AP Harrison, X Ye, J Xiao, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
232020
Integrating 3D geometry of organ for improving medical image segmentation
J Yao, J Cai, D Yang, D Xu, J Huang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
202019
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans
F Liu, J Cai, Y Huo, L Lu, AP Harrison
ECCV 2020 12358, 2020
192020
Lesion-harvester: Iteratively mining unlabeled lesions and hard-negative examples at scale
J Cai, AP Harrison, Y Zheng, K Yan, Y Huo, J Xiao, L Yang, L Lu
IEEE Transactions on Medical Imaging 40 (1), 59-70, 2020
192020
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