Lei Xiang
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Stacked sparse autoencoder (SSAE) for nuclei detection on breast cancer histopathology images
J Xu, L Xiang, Q Liu, H Gilmore, J Wu, J Tang, A Madabhushi
IEEE transactions on medical imaging 35 (1), 119-130, 2015
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI
L Xiang, Y Qiao, D Nie, L An, W Lin, Q Wang, D Shen
Neurocomputing 267, 406-416, 2017
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image
L Xiang, Q Wang, D Nie, L Zhang, X Jin, Y Qiao, D Shen
Medical image analysis 47, 31-44, 2018
Interleaved 3D‐CNN s for joint segmentation of small‐volume structures in head and neck CT images
X Ren, L Xiang, D Nie, Y Shao, H Zhang, D Shen, Q Wang
Medical physics 45 (5), 2063-2075, 2018
Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology
J Xu, L Xiang, R Hang, J Wu
2014 IEEE 11th international symposium on biomedical imaging (ISBI), 999-1002, 2014
Deep learning for fast and spatially constrained tissue quantification from highly accelerated data in magnetic resonance fingerprinting
Z Fang, Y Chen, M Liu, L Xiang, Q Zhang, Q Wang, W Lin, D Shen
IEEE transactions on medical imaging 38 (10), 2364-2374, 2019
Regression convolutional neural network for automated pediatric bone age assessment from hand radiograph
X Ren, T Li, X Yang, S Wang, S Ahmad, L Xiang, SR Stone, L Li, Y Zhan, ...
IEEE journal of biomedical and health informatics 23 (5), 2030-2038, 2018
Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction
DS Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang∗
IEEE Transactions on Biomedical Engineering, 2018
Sparse non-negative matrix factorization (SNMF) based color unmixing for breast histopathological image analysis
J Xu, L Xiang, G Wang, S Ganesan, M Feldman, NNC Shih, H Gilmore, ...
Computerized Medical Imaging and Graphics 46, 20-29, 2015
Ultra-fast t2-weighted mr reconstruction using complementary t1-weighted information
L Xiang, Y Chen, W Chang, Y Zhan, W Lin, Q Wang, D Shen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Difficulty-aware attention network with confidence learning for medical image segmentation
D Nie, L Wang, L Xiang, S Zhou, E Adeli, D Shen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1085-1092, 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
DS Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli
AAAI, 2019
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution
J Zhang, L Zhang, L Xiang, Y Shao, G Wu, X Zhou, D Shen, Q Wang
Pattern recognition 63, 531-541, 2017
Unpaired deep cross-modality synthesis with fast training
L Xiang, Y Li, W Lin, Q Wang, D Shen
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
Dual-domain cascaded regression for synthesizing 7T from 3T MRI
Y Zhang, JZ Cheng, L Xiang, PT Yap, D Shen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Task decomposition and synchronization for semantic biomedical image segmentation
X Ren, S Ahmad, L Zhang, L Xiang, D Nie, F Yang, Q Wang, D Shen
IEEE Transactions on Image Processing 29, 7497-7510, 2020
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks
S Xu, E Adeli, JZ Cheng, L Xiang, Y Li, SW Lee, D Shen
International Journal of Imaging Systems and Technology 30 (4), 1095-1107, 2020
Multimodal MRI Reconstruction Assisted With Spatial Alignment Network
K Xuan, L Xiang, X Huang, L Zhang, S Liao, D Shen, Q Wang
IEEE Transactions on Medical Imaging 41 (9), 2499-2509, 2022
Noise-aware standard-dose PET reconstruction using general and adaptive robust loss
L Xiang, L Wang, E Gong, G Zaharchuk, T Zhang
Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020
Dual adversarial learning with attention mechanism for fine-grained medical image synthesis
D Nie, L Xiang, Q Wang, D Shen
arXiv preprint arXiv:1907.03297, 2019
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