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Tian Liu 0004
Person information
- affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Atlanta, USA
Other persons with the same name
- Tian Liu — disambiguation page
- Tian Liu 0001
— Peking University, School of Electronic Engineering and Computer Science, MOE Key Laboratory of High Confidence Software Technologies, Beijing, China (and 1 more)
- Tian Liu 0002
- Tian Liu 0003
- Tian Liu 0005
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2020 – today
- 2023
- [c108]Chih-Wei Chang, Matt Goette, Nadja Kadom, Yinan Wang, Jacob F. Wynne, Tonghe Wang, Tian Liu, Natia Esiashvili, Jun Zhou, Bree R. Eaton, Xiaofeng Yang:
Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c107]Jian Dai
A deep-learning-based geographic attention model for body composition tissue segmentation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c106]Mingzhe Hu, Jing Wang, Chih-Wei Chang, Tian Liu, Xiaofeng Yang:
End-to-end brain tumor detection using a graph-feature-based classifier. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c105]Yuheng Li, Jing Wang, Chih-Wei Chang, Pretsh Patel, Ashesh B. Jani, Hui Mao, Tian Liu, Xiaofeng Yang:
Multi-parametric MRI radiomics analysis with ensemble learning for prostate lesion classification. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c104]Shaoyan Pan, Chaoqiong Ma, Chih-Wei Chang
Multi-structure segmentation on cardiac MRI using multilayer perceptron mixer network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c103]Mingzhe Hu, Jing Wang, Jacob F. Wynne, Tian Liu, Xiaofeng Yang:
A vision-GNN framework for retinopathy classification using optical coherence tomography. Medical Imaging: Computer-Aided Diagnosis 2023 - [c102]Yuheng Li, Jing Wang, Mingzhe Hu, Pretesh Patel, Hui Mao, Tian Liu, Xiaofeng Yang:
Prostate Gleason score prediction via MRI using capsule network. Medical Imaging: Computer-Aided Diagnosis 2023 - [c101]Jing Wang, Boran Zhou, Mylin A. Torres, Xiaofeng Yang, Tian Liu:
Quantitative ultrasound radiomics for monitoring radiation-induced toxicity following breast radiotherapy. Medical Imaging: Computer-Aided Diagnosis 2023 - [c100]Luke Matkovic, Yang Lei, Yabo Fu, Tonghe Wang, Aparna H. Kesarwala
Deformable image registration of chest CT using deep cycle network. Medical Imaging: Image-Guided Procedures 2023 - [c99]Shaoyan Pan, Jacob F. Wynne, Mingzhe Hu, Tonghe Wang, Justin Roper, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Multi-organ CT segmentation using shifted-window multilayer perceptron mixer. Medical Imaging: Image-Guided Procedures 2023 - [c98]Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang:
Deep learning-based multi-organ CT segmentation with adversarial data augmentation. Medical Imaging: Image Processing 2023 - [i10]Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang:
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation. CoRR abs/2302.13172 (2023) - [i9]Shaoyan Pan, Chih-Wei Chang
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis. CoRR abs/2305.00042 (2023) - [i8]Yuheng Li, Jacob F. Wynne, Jing Wang, Richard L. J. Qiu, Justin Roper, Shaoyan Pan, Ashesh B. Jani, Tian Liu, Pretesh R. Patel, Hui Mao, Xiaofeng Yang:
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI. CoRR abs/2305.00385 (2023) - 2022
- [j3]Jing Wang
Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic. J. Imaging 8(3): 65 (2022) - [c97]Yang Lei
Longitudinal deformable MRI registration via dual-feasible deep learning-based framework. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c96]Yang Lei
Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c95]Yabo Fu, Yang Lei
CT-based volumetric strain imaging via a deep learning registration framework. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c94]Shaoyan Pan, Yang Lei
Male pelvic multi-organ segmentation using V-transformer network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c93]Richard L. J. Qiu, Yang Lei
CBCT lung multi-OAR segmentation via hierarchical network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c92]Tonghe Wang, Yang Lei
Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c91]Huiqiao Xie, Yang Lei
Deep learning-based contrast-enhanced MRI using cascade networks with local supervision. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c90]Yang Lei
Neurovascular bundles segmentation on MRI via hierarchical object activation network. Medical Imaging: Computer-Aided Diagnosis 2022 - [c89]Yabo Fu, Yang Lei
Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy. Medical Imaging: Computer-Aided Diagnosis 2022 - [c88]Shaoyan Pan, Zhen Tian, Yang Lei
CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation. Medical Imaging: Computer-Aided Diagnosis 2022 - [c87]Huiqiao Xie, Yang Lei
High-resolution MR imaging using self-supervised parallel network. Medical Imaging: Computer-Aided Diagnosis 2022 - [c86]Yang Lei
Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy. Medical Imaging: Image-Guided Procedures 2022 - [c85]Chih-Wei Chang
Using orthogonal 2D kV images for target localization via central matching networks. Medical Imaging: Image-Guided Procedures 2022 - [c84]Xianjin Dai, Yang Lei
Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy. Medical Imaging: Image-Guided Procedures 2022 - [c83]Yabo Fu, Yang Lei
Deep learning based volume-to-slice MRI registration via intentional overfitting. Medical Imaging: Image-Guided Procedures 2022 - [c82]Shadab Momin, Yang Lei
Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. Medical Imaging: Image-Guided Procedures 2022 - [c81]Yang Lei
Deep-learning-based markerless tumor localization using 2D KV/MV image. Medical Imaging: Image Processing 2022 - [c80]Chih-Wei Chang
A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy. Medical Imaging: Image Processing 2022 - [c79]Qian Wang, Huiqiao Xie, Tonghe Wang, Justin Roper, Xiangyang Tang, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
Iterative material decomposition with gradient L0-norm minimization for dual-energy CT. Medical Imaging: Image Processing 2022 - [i7]Mingzhe Hu, Jiahan Zhang, Luke Matkovic, Tian Liu, Xiaofeng Yang:
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions. CoRR abs/2206.14302 (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
- [j2]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) - [c78]Yang Lei
Deep learning-based denoising for magnetic resonance spectroscopy signals. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c77]Yang Lei
Mask R-CNN-based tumor localization and segmentation in 4D Lung CT. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c76]Xianjin Dai, Yang Lei
Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c75]Yabo Fu, Yang Lei
A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c74]Jiwoong Jason Jeong, Yang Lei
Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c73]Tonghe Wang
Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c72]Tonghe Wang
Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c71]Tonghe Wang
4D cone-beam CT deformable registration using unsupervised spatial transformation network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c70]Xianjin Dai, Yang Lei
Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation. Medical Imaging: Computer-Aided Diagnosis 2021 - [c69]Yabo Fu, Yang Lei
Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors. Medical Imaging: Computer-Aided Diagnosis 2021 - [c68]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. Medical Imaging: Computer-Aided Diagnosis 2021 - [c67]Shadab Momin, Yang Lei
Deep learning-based deformable MRI-CBCT registration of male pelvic region. Medical Imaging: Computer-Aided Diagnosis 2021 - [c66]Tonghe Wang
MRI-based prostate and dominant lesion segmentation using deep neural network. Medical Imaging: Computer-Aided Diagnosis 2021 - [c65]Yupei Zhang, Yang Lei
Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images. Medical Imaging: Computer-Aided Diagnosis 2021 - [c64]Yang Lei
Multi-organ segmentation of male pelvic CT using dual attention networks. Medical Imaging: Image-Guided Procedures 2021 - [c63]Xianjin Dai, Yang Lei
Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy. Medical Imaging: Image-Guided Procedures 2021 - [c62]Xianjin Dai, Yang Lei
Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy. Medical Imaging: Image-Guided Procedures 2021 - [c61]Xianjin Dai, Yang Lei
Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT. Medical Imaging: Image-Guided Procedures 2021 - [c60]Xianjin Dai, Yang Lei
Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy. Medical Imaging: Image-Guided Procedures 2021 - [c59]Yabo Fu, Yang Lei
Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity. Medical Imaging: Image-Guided Procedures 2021 - [c58]Shadab Momin, Yang Lei
CT-MRI pelvic deformable registration via deep learning. Medical Imaging: Image-Guided Procedures 2021 - [c57]Shadab Momin, Yang Lei
Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks. Medical Imaging: Image-Guided Procedures 2021 - [c56]Yupei Zhang, Yang Lei
Ultrasound multi-needle detection using deep attention U-Net with TV regularizations. Medical Imaging: Image-Guided Procedures 2021 - [c55]Yang Lei
Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion. Medical Imaging: Image Processing 2021 - [c54]Yang Lei
Deep learning-based 3D image generation using a single 2D projection image. Medical Imaging: Image Processing 2021 - [c53]Xianjin Dai, Yang Lei
Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy. Medical Imaging: Image Processing 2021 - [c52]Yabo Fu, Yang Lei
Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy. Medical Imaging: Image Processing 2021 - [c51]Richard L. J. Qiu, Yang Lei
Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching. Medical Imaging: Image Processing 2021 - [c50]Tonghe Wang
Multi-organ segmentation on head and neck dual-energy CT using Deep Neural Networks. Medical Imaging: Image Processing 2021 - [c49]Tonghe Wang
Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN. Medical Imaging: Image Processing 2021 - [c48]Huiqiao Xie, Yang Lei
Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy. Medical Imaging: 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
- [j1]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) - [c47]Yang Lei
Multi-organ segmentation in pelvic CT images with CT-based synthetic MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171S - [c46]Yang Lei
Attenuation correction without structural images for PET imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171R - [c45]Xiuxiu He, Bangjun Guo, Yang Lei
Left ventricular myocardium segmentation in coronary computed tomography angiography using 3D deep attention u-net. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113172H - [c44]Jiwoong Jason Jeong, Yang Lei
Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131720 - [c43]Yang Lei
MRI-aided attenuation correction for PET imaging with deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131723 - [c42]Tonghe Wang
Multiparametric MRI-guided high-dose-rate prostate brachytherapy with focal dose boost to dominant intraprostatic lesions. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131724 - [c41]Xianjin Dai, Yang Lei
Intensity non-uniformity correction in MR imaging using deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131727 - [c40]Yabo Fu, Yang Lei
Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131728 - [c39]Yang Lei
Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN. Medical Imaging: Computer-Aided Diagnosis 2020 - [c38]Yang Lei
Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgery. Medical Imaging: Computer-Aided Diagnosis 2020 - [c37]Yabo Fu, Yang Lei
Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net. Medical Imaging: Computer-Aided Diagnosis 2020 - [c36]Yabo Fu, Bangjun Guo, Yang Lei
Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography. Medical Imaging: Computer-Aided Diagnosis 2020 - [c35]Bangjun Guo, Xiuxiu He, Tonghe Wang
Benign and malignant thyroid classification using computed tomography radiomics. Medical Imaging: Computer-Aided Diagnosis 2020 - [c34]Xiuxiu He, Bangjun Guo, Yang Lei
3D thyroid segmentation in CT using self-attention convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2020 - [c33]Xiuxiu He, Bangjun Guo, Tonghe Wang
Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics. Medical Imaging: Computer-Aided Diagnosis 2020 - [c32]Yabo Fu, Yang Lei
Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT. Medical Imaging: Image Processing 2020: 113132U - [c31]Yabo Fu, Yang Lei
An unsupervised deep learning approach for 4DCT lung deformable image registration. Medical Imaging: Image Processing 2020: 113132T - [c30]Xiuxiu He, Bangjun Guo, Yang Lei
Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net. Medical Imaging: Image Processing 2020: 113132D - [c29]Xiuxiu He, Yang Lei
Super-resolution magnetic resonance imaging reconstruction using deep attention networks. Medical Imaging: Image Processing 2020: 113132J - [c28]Yingzi Liu, Yang Lei
Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning. Medical Imaging: Image Processing 2020: 113132L - [c27]Qiulan Zeng, Yabo Fu, Jiwoong Jason Jeong, Yang Lei
Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks. Medical Imaging: Image Processing 2020: 113132Y - [c26]Yang Lei
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN. Medical Imaging: Image Processing 2020: 113133A - [c25]Yang Lei
Multi-modality MRI arbitrary transformation using unified generative adversarial networks. Medical Imaging: Image Processing 2020: 1131303 - [c24]Yang Lei
Estimating standard-dose PET from low-dose PET with deep learning. Medical Imaging: Image Processing 2020: 1131322 - [c23]Yabo Fu, Yang Lei
Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction. Medical Imaging: Image Processing 2020: 1131329 - [c22]Yang Lei
Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography. Medical Imaging: 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
- [c21]Yang Lei
Brain MRI classification based on machine learning framework with auto-context model. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531W - [c20]Tonghe Wang
A learning-based automatic segmentation method on left ventricle in SPECT imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531M - [c19]Jiwoong Jason Jeong, Bing Ji, Yang Lei
Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095329 - [c18]Bo Wang, Yang Lei
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution. Medical Imaging: Computer-Aided Diagnosis 2019: 109503X - [c17]Tonghe Wang
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images. Medical Imaging: Computer-Aided Diagnosis 2019: 109504D - [c16]Yang Lei
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN. Medical Imaging: Computer-Aided Diagnosis 2019: 1095010 - [c15]Ge Cui, Jiwoong Jason Jeong, Yang Lei
Machine-learning-based classification of Glioblastoma using MRI-based radiomic features. Medical Imaging: Computer-Aided Diagnosis 2019: 1095048 - [c14]Yang Lei
4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network. AIRT@MICCAI 2019: 26-33 - [c13]Yang Lei
CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy. AIRT@MICCAI 2019: 154-161 - [c12]Yang Lei
MRI-based synthetic CT generation using deep convolutional neural network. Medical Imaging: Image Processing 2019: 109492T - [c11]Bo Wang, Yang Lei
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN. Medical Imaging: 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
- [c10]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
- [c9]Xiaofeng Yang
Pseudo CT estimation from MRI using patch-based random forest. Medical Imaging: Image Processing 2017: 101332Q - 2016
- [c8]Xiaofeng Yang
Patch-based label fusion for automatic multi-atlas-based prostate segmentation in MR images. Medical Imaging: Image-Guided Procedures 2016: 978621 - [c7]Xiaofeng Yang
A MRI-CT prostate registration using sparse representation technique. Medical Imaging: Image-Guided Procedures 2016: 978627 - [c6]Xiaofeng Yang
3D Transrectal Ultrasound (TRUS) prostate segmentation based on optimal feature learning framework. Medical Imaging: Image Processing 2016: 97842F - 2015
- [c5]Xiaofeng Yang
A MR-TRUS registration method for ultrasound-guided prostate interventions. Medical Imaging: Image-Guided Procedures 2015: 94151Y - [c4]Xiaofeng Yang
A 3D neurovascular bundles segmentation method based on MR-TRUS deformable registration. Medical Imaging: Image Processing 2015: 941319 - 2014
- [c3]Xiaofeng Yang
A new CT prostate segmentation for CT-based HDR brachytherapy. Medical Imaging: Image-Guided Procedures 2014: 90362K - 2013
- [c2]Guanghui Cheng, Xiaofeng Yang
Multi-atlas-based segmentation of the parotid glands of MR images in patients following head-and-neck cancer radiotherapy. Medical Imaging: Computer-Aided Diagnosis 2013: 86702Q
2000 – 2009
- 2008
- [c1]Tian Liu, Jun Zhou
Measurements of Radiation-Induced Skin Changes in Breast-Cancer Radiation Therapy Using Ultrasonic Imaging. BMEI (2) 2008: 718-722
Coauthor Index
[j2] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [i4] [j1] [c47] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i3] [i2] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3]
[c100] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [i6] [i5] [j2] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [i4] [j1] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i3] [i2] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i1] [c10] [c9]
Pretesh Patel
aka: Pretesh R. Patel
aka: Pretesh R. Patel
[c108] [c100] [c99] [c98] [i10] [i9] [c95] [c94] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [i6] [j2] [c77] [c76] [c75] [c73] [c72] [c71] [c70] [c69] [c67] [c66] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c50] [c49] [c48] [i4] [j1] [c47] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c28] [c27] [c26] [c24] [c23] [c22] [i3] [i2] [c21] [c20] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i1] [c10]
[c108] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [i10] [i9] [i8] [j3] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [i7] [i6] [i5] [j2] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [i4] [j1] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i3] [i2] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
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last updated on 2024-11-06 21:35 CET by the dblp team
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