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Yang Lei 0002
Person information
- affiliation: Emory University, Department of Radiation Oncology / Winship Cancer Institute, Atlanta, GA, USA
Other persons with the same name
- Yang Lei — disambiguation page
- Yang Lei 0001 — Engineering University of Armed Police Force, Department of Electronics Technology, Xi'an, China (and 2 more)
- Yang Lei 0003
— University of Melbourne, Department of Computing and Information Systems, Parkville, Australia
- Yang Lei 0004
- Yang Lei 0005
- Yang Lei 0006
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2020 – today
- 2024
- [i7]Yang Lei, Luke A. Matkovic, Justin Roper, Tonghe Wang, Jun Zhou, Beth B. Ghavidel, Mark McDonald, Pretesh Patel, Xiaofeng Yang:
Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration. CoRR abs/2405.02692 (2024) - 2023
- [c90]Luke Matkovic, Yang Lei, Yabo Fu, Tonghe Wang, Aparna H. Kesarwala
Deformable image registration of chest CT using deep cycle network. Image-Guided Procedures 2023 - 2022
- [c89]Yang Lei
Longitudinal deformable MRI registration via dual-feasible deep learning-based framework. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c88]Yang Lei
Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c87]Yabo Fu, Yang Lei
CT-based volumetric strain imaging via a deep learning registration framework. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c86]Shaoyan Pan, Yang Lei
Male pelvic multi-organ segmentation using V-transformer network. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c85]Richard L. J. Qiu, Yang Lei
CBCT lung multi-OAR segmentation via hierarchical network. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c84]Tonghe Wang, Yang Lei
Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c83]Huiqiao Xie, Yang Lei
Deep learning-based contrast-enhanced MRI using cascade networks with local supervision. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c82]Yang Lei
Neurovascular bundles segmentation on MRI via hierarchical object activation network. Computer-Aided Diagnosis 2022 - [c81]Yabo Fu, Yang Lei
Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy. Computer-Aided Diagnosis 2022 - [c80]Shaoyan Pan, Zhen Tian, Yang Lei
CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation. Computer-Aided Diagnosis 2022 - [c79]Huiqiao Xie, Yang Lei
High-resolution MR imaging using self-supervised parallel network. Computer-Aided Diagnosis 2022 - [c78]Yang Lei
Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy. Image-Guided Procedures 2022 - [c77]Chih-Wei Chang, Yang Lei
An unsupervised patient-specific metal artifact reduction framework for proton therapy. Image-Guided Procedures 2022 - [c76]Chih-Wei Chang
Using orthogonal 2D kV images for target localization via central matching networks. Image-Guided Procedures 2022 - [c75]Xianjin Dai, Yang Lei
Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy. Image-Guided Procedures 2022 - [c74]Yabo Fu, Yang Lei
Deep learning based volume-to-slice MRI registration via intentional overfitting. Image-Guided Procedures 2022 - [c73]Shadab Momin, Yang Lei
Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. Image-Guided Procedures 2022 - [c72]Yang Lei
Deep-learning-based markerless tumor localization using 2D KV/MV image. Image Processing 2022 - [c71]Chih-Wei Chang
A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy. Image Processing 2022 - [i6]Huiqiao Xie, Yang Lei, Yabo Fu, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy. CoRR abs/2208.13686 (2022) - [i5]Yupei Zhang, Xianjin Dai, Zhen Tian, Yang Lei, Jacob F. Wynne, Pretesh Patel, Yue Chen, Tian Liu, Xiaofeng Yang:
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory. CoRR abs/2209.06952 (2022) - 2021
- [j4]Yabo Fu, Yang Lei
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching. Medical Image Anal. 67: 101845 (2021) - [c70]Yang Lei
Deep learning-based denoising for magnetic resonance spectroscopy signals. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c69]Yang Lei
Mask R-CNN-based tumor localization and segmentation in 4D Lung CT. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c68]Xianjin Dai, Yang Lei
Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c67]Yabo Fu, Yang Lei
A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c66]Jiwoong Jason Jeong, Yang Lei
Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c65]Tonghe Wang
Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c64]Tonghe Wang
Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c63]Tonghe Wang
4D cone-beam CT deformable registration using unsupervised spatial transformation network. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c62]Xianjin Dai, Yang Lei
Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation. Computer-Aided Diagnosis 2021 - [c61]Yabo Fu, Yang Lei
Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors. Computer-Aided Diagnosis 2021 - [c60]Mingquan Lin, Shadab Momin, Boran Zhou, Katherine Tang, Yang Lei
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context U-Net with deep supervision. Computer-Aided Diagnosis 2021 - [c59]Shadab Momin, Yang Lei
Deep learning-based deformable MRI-CBCT registration of male pelvic region. Computer-Aided Diagnosis 2021 - [c58]Tonghe Wang
MRI-based prostate and dominant lesion segmentation using deep neural network. Computer-Aided Diagnosis 2021 - [c57]Yupei Zhang, Yang Lei
Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images. Computer-Aided Diagnosis 2021 - [c56]Yang Lei
Multi-organ segmentation of male pelvic CT using dual attention networks. Image-Guided Procedures 2021 - [c55]Xianjin Dai, Yang Lei
Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy. Image-Guided Procedures 2021 - [c54]Xianjin Dai, Yang Lei
Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy. Image-Guided Procedures 2021 - [c53]Xianjin Dai, Yang Lei
Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT. Image-Guided Procedures 2021 - [c52]Xianjin Dai, Yang Lei
Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy. Image-Guided Procedures 2021 - [c51]Yabo Fu, Yang Lei
Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity. Image-Guided Procedures 2021 - [c50]Shadab Momin, Yang Lei
CT-MRI pelvic deformable registration via deep learning. Image-Guided Procedures 2021 - [c49]Shadab Momin, Yang Lei
Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks. Image-Guided Procedures 2021 - [c48]Yupei Zhang, Yang Lei
Ultrasound multi-needle detection using deep attention U-Net with TV regularizations. Image-Guided Procedures 2021 - [c47]Yang Lei
Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion. Image Processing 2021 - [c46]Yang Lei
Deep learning-based 3D image generation using a single 2D projection image. Image Processing 2021 - [c45]Xianjin Dai, Yang Lei
Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy. Image Processing 2021 - [c44]Yabo Fu, Yang Lei
Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy. Image Processing 2021 - [c43]Richard L. J. Qiu, Yang Lei
Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching. Image Processing 2021 - [c42]Tonghe Wang
Multi-organ segmentation on head and neck dual-energy CT using Deep Neural Networks. Image Processing 2021 - [c41]Tonghe Wang
Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN. Image Processing 2021 - [c40]Huiqiao Xie, Yang Lei
Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy. Image Processing 2021 - [i4]Mingquan Lin, Jacob F. Wynne, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review. CoRR abs/2103.13588 (2021) - 2020
- [j3]Yupei Zhang
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning. IEEE Trans. Medical Imaging 39(7): 2302-2315 (2020) - [c39]Yang Lei
Multi-organ segmentation in pelvic CT images with CT-based synthetic MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171S - [c38]Yang Lei
Attenuation correction without structural images for PET imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171R - [c37]Xiuxiu He, Bangjun Guo, Yang Lei
Left ventricular myocardium segmentation in coronary computed tomography angiography using 3D deep attention u-net. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113172H - [c36]Jiwoong Jason Jeong, Yang Lei
Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131720 - [c35]Yang Lei
MRI-aided attenuation correction for PET imaging with deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131723 - [c34]Tonghe Wang
Multiparametric MRI-guided high-dose-rate prostate brachytherapy with focal dose boost to dominant intraprostatic lesions. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131724 - [c33]Xianjin Dai, Yang Lei
Intensity non-uniformity correction in MR imaging using deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131727 - [c32]Yabo Fu, Yang Lei
Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131728 - [c31]Yang Lei
Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN. Computer-Aided Diagnosis 2020 - [c30]Yang Lei
Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgery. Computer-Aided Diagnosis 2020 - [c29]Yabo Fu, Yang Lei
Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net. Computer-Aided Diagnosis 2020 - [c28]Yabo Fu, Bangjun Guo, Yang Lei
Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography. Computer-Aided Diagnosis 2020 - [c27]Bangjun Guo, Xiuxiu He, Tonghe Wang
Benign and malignant thyroid classification using computed tomography radiomics. Computer-Aided Diagnosis 2020 - [c26]Xiuxiu He, Bangjun Guo, Yang Lei
3D thyroid segmentation in CT using self-attention convolutional neural network. Computer-Aided Diagnosis 2020 - [c25]Xiuxiu He, Bangjun Guo, Tonghe Wang
Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics. Computer-Aided Diagnosis 2020 - [c24]Yabo Fu, Yang Lei
Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT. Image Processing 2020: 113132U - [c23]Yabo Fu, Yang Lei
An unsupervised deep learning approach for 4DCT lung deformable image registration. Image Processing 2020: 113132T - [c22]Xiuxiu He, Bangjun Guo, Yang Lei
Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net. Image Processing 2020: 113132D - [c21]Xiuxiu He, Yang Lei
Super-resolution magnetic resonance imaging reconstruction using deep attention networks. Image Processing 2020: 113132J - [c20]Yingzi Liu, Yang Lei
Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning. Image Processing 2020: 113132L - [c19]Qiulan Zeng, Yabo Fu, Jiwoong Jason Jeong, Yang Lei
Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks. Image Processing 2020: 113132Y - [c18]Yang Lei
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN. Image Processing 2020: 113133A - [c17]Yang Lei
Multi-modality MRI arbitrary transformation using unified generative adversarial networks. Image Processing 2020: 1131303 - [c16]Yang Lei
Estimating standard-dose PET from low-dose PET with deep learning. Image Processing 2020: 1131322 - [c15]Yabo Fu, Yang Lei
Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction. Image Processing 2020: 1131329 - [c14]Yang Lei
Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography. Image Processing 2020: 1131338 - [i3]Tonghe Wang, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Machine Learning in Quantitative PET Imaging. CoRR abs/2001.06597 (2020) - [i2]Yang Lei, Yabo Fu, Tonghe Wang, Richard L. J. Qiu, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep Learning in Multi-organ Segmentation. CoRR abs/2001.10619 (2020)
2010 – 2019
- 2019
- [c13]Yang Lei
Brain MRI classification based on machine learning framework with auto-context model. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531W - [c12]Tonghe Wang
A learning-based automatic segmentation method on left ventricle in SPECT imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531M - [c11]Jiwoong Jason Jeong, Bing Ji, Yang Lei
Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095329 - [c10]Bo Wang, Yang Lei
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution. Computer-Aided Diagnosis 2019: 109503X - [c9]Tonghe Wang
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images. Computer-Aided Diagnosis 2019: 109504D - [c8]Yang Lei
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN. Computer-Aided Diagnosis 2019: 1095010 - [c7]Ge Cui, Jiwoong Jason Jeong, Yang Lei
Machine-learning-based classification of Glioblastoma using MRI-based radiomic features. Computer-Aided Diagnosis 2019: 1095048 - [c6]Yang Lei
4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network. AIRT@MICCAI 2019: 26-33 - [c5]Yang Lei
CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy. AIRT@MICCAI 2019: 154-161 - [c4]Yang Lei
MRI-based synthetic CT generation using deep convolutional neural network. Image Processing 2019: 109492T - [c3]Bo Wang, Yang Lei
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN. Image Processing 2019: 109492S - [i1]Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep Learning in Medical Image Registration: A Review. CoRR abs/1912.12318 (2019) - 2018
- [c2]Yang Lei, Hui-Kuo Shu, Sibo Tian, Tonghe Wang, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Xiaofeng Yang
Pseudo CT Estimation using Patch-based Joint Dictionary Learning. EMBC 2018: 5150-5153 - 2017
- [c1]Xiaofeng Yang
Pseudo CT estimation from MRI using patch-based random forest. Image Processing 2017: 101332Q - 2016
- [j2]Yang Lei
Non-Convex Low-Rank Approximation for Image Denoising and Deblurring. IEICE Trans. Inf. Syst. 99-D(5): 1364-1374 (2016) - 2014
- [j1]Guangtao Cheng, Zhanjie Song, Yang Lei
Two-stage sparse representation-based face recognition with reconstructed images. J. Electronic Imaging 23(5): 053021 (2014)
Coauthor Index
[j4] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [i4] [j3] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i3] [i2] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i1] [c2] [c1]
[c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [c71] [i6] [i5] [j4] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [i4] [j3] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i3] [i2] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i1] [c2] [c1]
[i7] [c90] [c87] [c86] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [c71] [i6] [j4] [c69] [c68] [c67] [c65] [c64] [c63] [c62] [c61] [c59] [c58] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [c40] [i4] [j3] [c39] [c38] [c37] [c35] [c34] [c33] [c32] [c31] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c16] [c15] [c14] [i3] [i2] [c13] [c12] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i1] [c2]
[i7] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [i6] [i5] [j4] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [i4] [j3] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i3] [i2] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i1] [c2] [c1]
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