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ORCIDXiaofeng Yang 0005
Person information
- affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Atlanta, GA, USA
Other persons with the same name
- Xiaofeng Yang — disambiguation page
- Xiaofeng Yang 0001 — Institute for Infocomm Research, A*Star, Singapore
- Xiaofeng Yang 0002
![[0000-0001-9920-4641]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9920-4641")
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China - Xiaofeng Yang 0003 — University of South Carolina, Department of Mathematics, Columbia, SC, USA
- Xiaofeng Yang 0004 — University of Macau, State Key Laboratory of Analog and Mixed-Signal VLSI, Macau
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2020 – today
- 2024
[i19]Qilong Zhao, Yifei Zhang, Mengdan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang, Liang Zhao:
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation. CoRR abs/2403.10831 (2024)- 2023
- [j11]Qingyu Xiao, Xiaofeng Yang, Yue Chen:
Curvature-based force estimation for an elastic tube. Robotica 41(6): 1749-1761 (2023) - [c122]Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao:
MAGI: Multi-Annotated Explanation-Guided Learning. ICCV 2023: 1977-1987 - [c121]Siyi Gu, Yifei Zhang, Yuyang Gao, Xiaofeng Yang, Liang Zhao:
ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation. KDD 2023: 567-576 - [c120]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 - [c119]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 - [c118]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 - [c117]Shaoyan Pan, Chaoqiong Ma, Chih-Wei Chang, Jacob F. Wynne, Justin Roper, Tian Liu, Xiaofeng Yang:
Multi-structure segmentation on cardiac MRI using multilayer perceptron mixer network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c116]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 - [c115]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 - [c114]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 - [c113]Luke Matkovic, Yang Lei, Yabo Fu, Tonghe Wang, Aparna H. Kesarwala, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deformable image registration of chest CT using deep cycle network. Medical Imaging: Image-Guided Procedures 2023 - [c112]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 - [c111]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 - [i18]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) - [i17]Mingzhe Hu, Shaoyan Pan, Yuheng Li, Xiaofeng Yang:
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT. CoRR abs/2304.04920 (2023) - [i16]Mingzhe Hu, Yuheng Li, Xiaofeng Yang:
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model. CoRR abs/2304.13973 (2023) - [i15]Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang:
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis. CoRR abs/2305.00042 (2023) - [i14]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) - [i13]Shaoyan Pan, Elham Abouei, Jacob F. Wynne, Tonghe Wang, Richard L. J. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Justin Roper, Pretesh Patel, David S. Yu, Hui Mao, Xiaofeng Yang:
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model. CoRR abs/2305.19467 (2023) - [i12]Mingzhe Hu, Xiaofeng Yang:
Attention-Driven Lightweight Model for Pigmented Skin Lesion Detection. CoRR abs/2308.02119 (2023) - [i11]Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F. Wynne, Tonghe Wang, Chih-Wei Chang, Justin Roper, Jonathon A. Nye, Hui Mao, Xiaofeng Yang:
Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model. CoRR abs/2308.13072 (2023) - [i10]Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Xiaofeng Yang, Liang Zhao:
Visual Attention-Prompted Prediction and Learning. CoRR abs/2310.08420 (2023) - 2022
- [j10]Jing Wang, Xiaofeng Yang, Boran Zhou, James J. Sohn, Jun Zhou, Jesse T. Jacob, Kristin Higgins, Jeffrey D. Bradley, Tian Liu:
Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic. J. Imaging 8(3): 65 (2022) - [c110]Yang Lei, Yabo Fu, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Longitudinal deformable MRI registration via dual-feasible deep learning-based framework. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c109]Yang Lei, Shadab Momin, Zhen Tian, Justin Roper, Jolinta Lin, Shannon Kahn, Hui-Kuo Shu, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c108]Yabo Fu, Yang Lei, Tonghe Wang, Justin Roper, Marian Axente, Jeffrey D. Bradley, Tian Liu, Kristin Higgins, Xiaofeng Yang:
CT-based volumetric strain imaging via a deep learning registration framework. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c107]Shaoyan Pan, Yang Lei, Tonghe Wang, Jacob F. Wynne, Justin Roper, Ashesh B. Jani, Pretesh Patel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Male pelvic multi-organ segmentation using V-transformer network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c106]Richard L. J. Qiu, Yang Lei, Joseph Shelton, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Aparna H. Kesarwala, Xiaofeng Yang:
CBCT lung multi-OAR segmentation via hierarchical network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c105]Tonghe Wang, Yang Lei, Eduard Schreibmann, Justin Roper, David M. Schuster, Jeffrey D. Bradley, Tian Liu, Ashesh B. Jani, Xiaofeng Yang:
Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c104]Huiqiao Xie, Yang Lei, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep learning-based contrast-enhanced MRI using cascade networks with local supervision. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c103]Yang Lei, Tonghe Wang, Justin Roper, Sibo Tian, Pretesh Patel, Jeffrey D. Bradley, Ashesh B. Jani, Tian Liu, Xiaofeng Yang:
Neurovascular bundles segmentation on MRI via hierarchical object activation network. Medical Imaging: Computer-Aided Diagnosis 2022 - [c102]Yabo Fu, Yang Lei, Zhen Tian, Tonghe Wang, Xianjin Dai, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy. Medical Imaging: Computer-Aided Diagnosis 2022 - [c101]Shaoyan Pan, Zhen Tian, Yang Lei, Tonghe Wang, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation. Medical Imaging: Computer-Aided Diagnosis 2022 - [c100]Huiqiao Xie, Yang Lei, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Tian Liu, Hui Mao, Xiaofeng Yang:
High-resolution MR imaging using self-supervised parallel network. Medical Imaging: Computer-Aided Diagnosis 2022 - [c99]Yang Lei, Zhen Tian, Tonghe Wang, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy. Medical Imaging: Image-Guided Procedures 2022 - [c98]Chih-Wei Chang, Yang Lei, Serdar Charyyev, Shuai Leng, Tim Yoon, Jun Zhou, Xiaofeng Yang, Liyong Lin:
An unsupervised patient-specific metal artifact reduction framework for proton therapy. Medical Imaging: Image-Guided Procedures 2022 - [c97]Chih-Wei Chang, Yang Lei, Tonghe Wang, Liyong Lin, Jun Zhou, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Using orthogonal 2D kV images for target localization via central matching networks. Medical Imaging: Image-Guided Procedures 2022 - [c96]Xianjin Dai, Yang Lei, Tonghe Wang, Zhen Tian, Jun Zhou, Mark McDonald, David S. Yu, Beth B. Ghavidel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy. Medical Imaging: Image-Guided Procedures 2022 - [c95]Yabo Fu, Yang Lei, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep learning based volume-to-slice MRI registration via intentional overfitting. Medical Imaging: Image-Guided Procedures 2022 - [c94]Shadab Momin, Yang Lei, Jiahan Zhang, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. Medical Imaging: Image-Guided Procedures 2022 - [c93]Yang Lei, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep-learning-based markerless tumor localization using 2D KV/MV image. Medical Imaging: Image Processing 2022 - [c92]Chih-Wei Chang, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy. Medical Imaging: Image Processing 2022 - [c91]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 - [i9]Hongmei Zhang, Kai Wang, Yan Zhou, Shadab Momin, Xiaofeng Yang, Mostafa Fatemi, Michael F. Insana:
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging. CoRR abs/2204.01844 (2022) - [i8]Haoyu Fang, Yi Fang, Xiaofeng Yang:
Multi-organ Segmentation Network with Adversarial Performance Validator. CoRR abs/2204.07850 (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
- [j9]Yabo Fu, Yang Lei, Tonghe Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching. Medical Image Anal. 67: 101845 (2021) - [j8]Hongxia Deng, Dongsheng Luo, Zhangwei Chang, Haifang Li, Xiaofeng Yang:
RAHC_GAN: A Data Augmentation Method for Tomato Leaf Disease Recognition. Symmetry 13(9): 1597 (2021) - [j7]Huiqiao Xie, Yan Ren, Wenting Long, Xiaofeng Yang, Xiangyang Tang:
Principal Component Analysis in Projection and Image Domains - Another Form of Spectral Imaging in Photon-Counting CT. IEEE Trans. Biomed. Eng. 68(3): 1074-1083 (2021) - [j6]Yan Ren, Huiqiao Xie, Wenting Long, Xiaofeng Yang, Xiangyang Tang:
On the Conditioning of Spectral Channelization (Energy Binning) and Its Impact on Multi-Material Decomposition Based Spectral Imaging in Photon-Counting CT. IEEE Trans. Biomed. Eng. 68(9): 2678-2688 (2021) - [c90]Yang Lei, Bing Ji, Tian Liu, Walter J. Curran, Hui Mao, Xiaofeng Yang:
Deep learning-based denoising for magnetic resonance spectroscopy signals. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c89]Yang Lei, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Mask R-CNN-based tumor localization and segmentation in 4D Lung CT. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c88]Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Justin Roper, Mark McDonald, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang:
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 - [c87]Yabo Fu, Yang Lei, Tonghe Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
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 - [c86]Jiwoong Jason Jeong, Yang Lei, Karen Xu, Tian Liu, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang:
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 - [c85]Tonghe Wang, Yang Lei, Oladunni O. Akin-Akintayo, Olayinka A. Abiodun Ojo, Akinyemi A. Akintayo, Walter J. Curran, Tian Liu, David M. Schuster, Xiaofeng Yang:
Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c84]Tonghe Wang, Yang Lei, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c83]Tonghe Wang, Yang Lei, Zhen Tian, Matt Giles, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
4D cone-beam CT deformable registration using unsupervised spatial transformation network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c82]Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation. Medical Imaging: Computer-Aided Diagnosis 2021 - [c81]Yabo Fu, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors. Medical Imaging: Computer-Aided Diagnosis 2021 - [c80]Mingquan Lin, Shadab Momin, Boran Zhou, Katherine Tang, Yang Lei, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context U-Net with deep supervision. Medical Imaging: Computer-Aided Diagnosis 2021 - [c79]Shadab Momin, Yang Lei, Tonghe Wang, Yabo Fu, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep learning-based deformable MRI-CBCT registration of male pelvic region. Medical Imaging: Computer-Aided Diagnosis 2021 - [c78]Tonghe Wang, Yang Lei, Olayinka A. Abiodun Ojo, Oladunni A. Akin-Akintayo, Akinyemi A. Akintayo, Walter J. Curran, Tian Liu, David M. Schuster, Xiaofeng Yang:
MRI-based prostate and dominant lesion segmentation using deep neural network. Medical Imaging: Computer-Aided Diagnosis 2021 - [c77]Yupei Zhang, Yang Lei, Mingquan Lin, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images. Medical Imaging: Computer-Aided Diagnosis 2021 - [c76]Yang Lei, Tonghe Wang, Sibo Tian, Yabo Fu, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-organ segmentation of male pelvic CT using dual attention networks. Medical Imaging: Image-Guided Procedures 2021 - [c75]Xianjin Dai, Yang Lei, James Janopaul-Naylor, Tonghe Wang, Justin Roper, Tian Liu, Walter J. Curran, Pretesh Patel, Xiaofeng Yang:
Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy. Medical Imaging: Image-Guided Procedures 2021 - [c74]Xianjin Dai, Yang Lei, Zhen Tian, Tonghe Wang, Tian Liu, Walter J. Curran, Xiaofeng Yang:
Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy. Medical Imaging: Image-Guided Procedures 2021 - [c73]Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT. Medical Imaging: Image-Guided Procedures 2021 - [c72]Xianjin Dai, Yang Lei, Yupei Zhang, Tonghe Wang, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy. Medical Imaging: Image-Guided Procedures 2021 - [c71]Yabo Fu, Yang Lei, Tonghe Wang, Jun Zhou, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity. Medical Imaging: Image-Guided Procedures 2021 - [c70]Shadab Momin, Yang Lei, Tonghe Wang, Yabo Fu, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang:
CT-MRI pelvic deformable registration via deep learning. Medical Imaging: Image-Guided Procedures 2021 - [c69]Shadab Momin, Yang Lei, Tonghe Wang, Yabo Fu, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks. Medical Imaging: Image-Guided Procedures 2021 - [c68]Yupei Zhang, Yang Lei, Xiuxiu He, Zhen Tian, Jiwoong Jason Jeong, Tonghe Wang, Qiulan Zeng, Ashesh B. Jani, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Ultrasound multi-needle detection using deep attention U-Net with TV regularizations. Medical Imaging: Image-Guided Procedures 2021 - [c67]Yang Lei, Yabo Fu, Tonghe Wang, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang:
Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion. Medical Imaging: Image Processing 2021 - [c66]Yang Lei, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep learning-based 3D image generation using a single 2D projection image. Medical Imaging: Image Processing 2021 - [c65]Xianjin Dai, Yang Lei, James Janopaul-Naylor, Tonghe Wang, Justin Roper, Jun Zhou, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang:
Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy. Medical Imaging: Image Processing 2021 - [c64]Yabo Fu, Yang Lei, Tonghe Wang, Sibo Tian, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy. Medical Imaging: Image Processing 2021 - [c63]Richard L. J. Qiu, Yang Lei, Aparna H. Kesarwala, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching. Medical Imaging: Image Processing 2021 - [c62]Tonghe Wang, Yang Lei, Mark McDonald, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-organ segmentation on head and neck dual-energy CT using Deep Neural Networks. Medical Imaging: Image Processing 2021 - [c61]Tonghe Wang, Yang Lei, Sibo Tian, Tian Liu, Walter J. Curran, Kristin Higgins, Xiaofeng Yang:
Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN. Medical Imaging: Image Processing 2021 - [c60]Huiqiao Xie, Yang Lei, Tonghe Wang, Yabo Fu, Xiangyang Tang, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
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
- [j5]Hongmei Zhang, Lei Xu, Zhihui Liu, Shukuan Lu, Jichao Yin, Sibo Tian, Xiaofeng Yang, Mingxi Wan:
Statistical and Texture Descriptors of Symptomatic Plantar Fasciitis Using Ultrasound Shear Wave Elastography. IEEE Access 8: 120146-120159 (2020) - [j4]Xiaofeng Yang, Zhe Wang, Hongxia Deng, Haifang Li, Rong Yao, Peng Gao, Saddam naji abdu Nasher:
Recognizing Image Semantic Information Through Multi-Feature Fusion and SSAE-Based Deep Network. J. Medical Syst. 44(2): 46 (2020) - [j3]Yupei Zhang, Xiuxiu He, Zhen Tian, Jiwoong Jason Jeong, Yang Lei, Tonghe Wang, Qiulan Zeng, Ashesh B. Jani, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning. IEEE Trans. Medical Imaging 39(7): 2302-2315 (2020) - [c59]Hongxia Deng, Zijian Feng, Ying Liu, Dongsheng Luo, Xiaofeng Yang, Haifang Li:
Face Recognition Algorithm Based on Weighted Intensity PCNN. CBD 2020: 207-212 - [c58]Yang Lei, Xue Dong, Sibo Tian, Tonghe Wang, Pretesh Patel, Walter J. Curran, Ashesh B. Jani, Tian Liu, Xiaofeng Yang:
Multi-organ segmentation in pelvic CT images with CT-based synthetic MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171S - [c57]Yang Lei, Tonghe Wang, Xue Dong, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathon A. Nye, Xiaofeng Yang:
Attenuation correction without structural images for PET imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171R - [c56]Xiuxiu He, Bangjun Guo, Yang Lei, Joseph Harms, Tonghe Wang, Tian Liu, Longjiang Zhang, Xiaofeng Yang:
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 - [c55]Jiwoong Jason Jeong, Yang Lei, Hui-Kuo Shu, Tian Liu, Liya Wang, Walter J. Curran, Hui Mao, Xiaofeng Yang:
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 - [c54]Yang Lei, Xue Dong, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Jonathan A. Nye, Hui Mao, Xiaofeng Yang:
MRI-aided attenuation correction for PET imaging with deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131723 - [c53]Tonghe Wang, Matt Giles, Robert H. Press, Xianjin Dai, Ashesh B. Jani, Peter Rossi, Yang Lei, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
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 - [c52]Xianjin Dai, Yang Lei, Yingzi Liu, Tonghe Wang, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Intensity non-uniformity correction in MR imaging using deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131727 - [c51]Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, David S. Yu, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131728 - [c50]Yang Lei, Joseph Harms, Xue Dong, Tonghe Wang, Xiangyang Tang, David S. Yu, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN. Medical Imaging: Computer-Aided Diagnosis 2020 - [c49]Yang Lei, Zhen Tian, Shannon Kahn, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgery. Medical Imaging: Computer-Aided Diagnosis 2020 - [c48]Yabo Fu, Yang Lei, Tonghe Wang, Xiaojun Jiang, Walter J. Curran, Tian Liu, Hui-Kuo Shu, Xiaofeng Yang:
Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net. Medical Imaging: Computer-Aided Diagnosis 2020 - [c47]Yabo Fu, Bangjun Guo, Yang Lei, Tonghe Wang, Tian Liu, Walter J. Curran, Longjiang Zhang, Xiaofeng Yang:
Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography. Medical Imaging: Computer-Aided Diagnosis 2020 - [c46]Bangjun Guo, Xiuxiu He, Tonghe Wang, Yang Lei, Walter J. Curran, Tian Liu, Longjiang Zhang, Xiaofeng Yang:
Benign and malignant thyroid classification using computed tomography radiomics. Medical Imaging: Computer-Aided Diagnosis 2020 - [c45]Xiuxiu He, Bangjun Guo, Yang Lei, Yingzi Liu, Tonghe Wang, Walter J. Curran, Longjiang Zhang, Tian Liu, Xiaofeng Yang:
3D thyroid segmentation in CT using self-attention convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2020 - [c44]Xiuxiu He, Bangjun Guo, Tonghe Wang, Yang Lei, Tian Liu, Longjiang Zhang, Xiaofeng Yang:
Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics. Medical Imaging: Computer-Aided Diagnosis 2020 - [c43]Yabo Fu, Yang Lei, Yingzi Liu, Tonghe Wang, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang:
Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT. Medical Imaging: Image Processing 2020: 113132U - [c42]Yabo Fu, Yang Lei, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
An unsupervised deep learning approach for 4DCT lung deformable image registration. Medical Imaging: Image Processing 2020: 113132T - [c41]Xiuxiu He, Bangjun Guo, Yang Lei, Tonghe Wang, Tian Liu, Walter J. Curran, Longjiang Zhang, Xiaofeng Yang:
Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net. Medical Imaging: Image Processing 2020: 113132D - [c40]Xiuxiu He, Yang Lei, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Super-resolution magnetic resonance imaging reconstruction using deep attention networks. Medical Imaging: Image Processing 2020: 113132J - [c39]Yingzi Liu, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Tian Liu, Pretesh Patel, Walter J. Curran, Lei Ren, Xiaofeng Yang:
Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning. Medical Imaging: Image Processing 2020: 113132L - [c38]Qiulan Zeng, Yabo Fu, Jiwoong Jason Jeong, Yang Lei, Tonghe Wang, Hui Mao, Ashesh B. Jani, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks. Medical Imaging: Image Processing 2020: 113132Y - [c37]Yang Lei, Jun Zhou, Xue Dong, Tonghe Wang, Hui Mao, Mark McDonald, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN. Medical Imaging: Image Processing 2020: 113133A - [c36]Yang Lei, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-modality MRI arbitrary transformation using unified generative adversarial networks. Medical Imaging: Image Processing 2020: 1131303 - [c35]Yang Lei, Xue Dong, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathan A. Nye, Xiaofeng Yang:
Estimating standard-dose PET from low-dose PET with deep learning. Medical Imaging: Image Processing 2020: 1131322 - [c34]Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, Ashesh B. Jani, Pretesh Patel, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction. Medical Imaging: Image Processing 2020: 1131329 - [c33]Yang Lei, Sibo Tian, Yabo Fu, Xue Dong, Tonghe Wang, Ashesh B. Jani, David M. Schuster, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
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
- [c32]Haifang Li, Zhe Wang, Guimei Yin, Hongxia Deng, Xiaofeng Yang, Rong Yao, Peng Gao, Rui Cao:
A Multi-feature Fusion and SSAE-Based Deep Network for Image Semantic Recognition. BigDataService 2019: 322-327 - [c31]Yang Lei, Yingzi Liu, Tonghe Wang, Sibo Tian, Xue Dong, Xiaojun Jiang, Tian Liu, Hui Mao, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang:
Brain MRI classification based on machine learning framework with auto-context model. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531W - [c30]Tonghe Wang, Yang Lei, Haipeng Tang, Joseph Harms, Cheng Wang, Tian Liu, Walter J. Curran, Weihua Zhou, Dianfu Li, Xiaofeng Yang:
A learning-based automatic segmentation method on left ventricle in SPECT imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531M - [c29]Jiwoong Jason Jeong, Bing Ji, Yang Lei, Liya Wang, Tian Liu, Arif Ali, Walter J. Curran, Hui Mao, Xiaofeng Yang:
Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095329 - [c28]Bo Wang, Yang Lei, Jiwoong Jason Jeong, Tonghe Wang, Yingzi Liu, Sibo Tian, Pretesh Patel, Xiaojun Jiang, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution. Medical Imaging: Computer-Aided Diagnosis 2019: 109503X - [c27]Tonghe Wang, Yang Lei, Ghazal Shafai-Erfani, Xiaojun Jiang, Xue Dong, Jun Zhou, Tian Liu, Walter J. Curran, Xiaofeng Yang, Hui-Kuo Shu:
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images. Medical Imaging: Computer-Aided Diagnosis 2019: 109504D - [c26]Yang Lei, Yingzi Liu, Xue Dong, Sibo Tian, Tonghe Wang, Xiaojun Jiang, Kristin Higgins, Jonathan J. Beitler, David S. Yu, Tian Liu, Walter J. Curran, Yi Fang, Xiaofeng Yang:
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN. Medical Imaging: Computer-Aided Diagnosis 2019: 1095010 - [c25]Ge Cui, Jiwoong Jason Jeong, Yang Lei, Tonghe Wang, Tian Liu, Walter J. Curran, Hui Mao, Xiaofeng Yang:
Machine-learning-based classification of Glioblastoma using MRI-based radiomic features. Medical Imaging: Computer-Aided Diagnosis 2019: 1095048 - [c24]Yang Lei, Yabo Fu, Joseph Harms, Tonghe Wang, Walter J. Curran, Tian Liu, Kristin Higgins, Xiaofeng Yang:
4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network. AIRT@MICCAI 2019: 26-33 - [c23]Yang Lei, Tonghe Wang, Joseph Harms, Yabo Fu, Xue Dong, Walter J. Curran, Tian Liu, Xiaofeng Yang:
CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy. AIRT@MICCAI 2019: 154-161 - [c22]Yang Lei, Tonghe Wang, Yingzi Liu, Kristin Higgins, Sibo Tian, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang:
MRI-based synthetic CT generation using deep convolutional neural network. Medical Imaging: Image Processing 2019: 109492T - [c21]Bo Wang, Yang Lei, Tonghe Wang, Xue Dong, Sibo Tian, Xiaojun Jiang, Ashesh B. Jani, Tian Liu, Walter J. Curran, Pretesh Patel, Xiaofeng Yang:
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN. Medical Imaging: Image Processing 2019: 109492S - [c20]Hongxia Deng, Jinxiu Guo, Xiaofeng Yang, Jinxiu Hou, Haoqi Liu, Haifang Li:
Multiscale Entropy Analysis of EEG Based on Non-uniform Time. PRCV (2) 2019: 3-17 - [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
- [c19]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 - [c18]Clara M. Tam, Xiaofeng Yang, Sibo Tian, Xi Jiang, Jonathan J. Beitler, Shuo Li:
Automated delineation of organs-at-risk in head and neck CT images using multi-output support vector regression. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057824 - 2017
- [c17]Xiaofeng Yang, Yang Lei, Hui-Kuo Shu, Peter Rossi, Hui Mao, Hyunsuk Shim, Walter J. Curran, Tian Liu:
Pseudo CT estimation from MRI using patch-based random forest. Medical Imaging: Image Processing 2017: 101332Q - 2016
- [j2]Xiaofeng Yang, Hongxia Deng, Haifang Li:
基于计算机视觉的驾驶员低头行为检测 (Detection of Driver's Head-dipping Based on Computer Vision). 计算机科学 43(Z6): 210-213 (2016) - [c16]Xiaofeng Yang, Ashesh B. Jani, Peter J. Rossi, Hui Mao, Walter J. Curran, Tian Liu:
Patch-based label fusion for automatic multi-atlas-based prostate segmentation in MR images. Medical Imaging: Image-Guided Procedures 2016: 978621 - [c15]Xiaofeng Yang, Ashesh B. Jani, Peter J. Rossi, Hui Mao, Walter J. Curran, Tian Liu:
A MRI-CT prostate registration using sparse representation technique. Medical Imaging: Image-Guided Procedures 2016: 978627 - [c14]Xiaofeng Yang, Peter Rossi, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu:
3D Transrectal Ultrasound (TRUS) prostate segmentation based on optimal feature learning framework. Medical Imaging: Image Processing 2016: 97842F - 2015
- [c13]Fang Xu, Qin-Wu Zhou, Peng Wu, Xing Chen, Xiaofeng Yang, Hong-jian Yan:
Heart rate measurement based on face video sequence. Medical Imaging: Computer-Aided Diagnosis 2015: 941435 - [c12]Xiaofeng Yang, Peter Rossi, Hui Mao, Ashesh B. Jani, Tomi Ogunleye, Walter J. Curran, Tian Liu:
A MR-TRUS registration method for ultrasound-guided prostate interventions. Medical Imaging: Image-Guided Procedures 2015: 94151Y - [c11]Xiaofeng Yang, Peter Rossi, Ashesh B. Jani, Hui Mao, Tomi Ogunleye, Walter J. Curran, Tian Liu:
A 3D neurovascular bundles segmentation method based on MR-TRUS deformable registration. Medical Imaging: Image Processing 2015: 941319 - 2014
- [c10]Xiaofeng Yang, Peter Rossi, Tomi Ogunleye, Ashesh B. Jani, Walter J. Curran, Tian Liu:
A new CT prostate segmentation for CT-based HDR brachytherapy. Medical Imaging: Image-Guided Procedures 2014: 90362K - 2013
- [j1]Xiaofeng Yang, Baowei Fei:
Research and applications: Multiscale segmentation of the skull in MR images for MRI-based attenuation correction of combined MR/PET. J. Am. Medical Informatics Assoc. 20(6): 1037-1045 (2013) - [c9]Guanghui Cheng, Xiaofeng Yang, Ning Wu, Zhijian Xu, Hongfu Zhao, Yuefeng Wang, Tian Liu:
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 - 2012
- [c8]Xiaofeng Yang, Baowei Fei:
3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning. Medical Imaging: Image-Guided Procedures 2012: 83162O - [c7]Xiaofeng Yang, Pegah Ghafourian, Puneet Sharma, Khalil Salman, Diego R. Martín, Baowei Fei:
Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images. Medical Imaging: Image Processing 2012: 83140B - 2011
- [c6]Baowei Fei, Viraj Master, Peter Nieh, Hamed Akbari, Xiaofeng Yang, Aaron Fenster, David M. Schuster:
A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer. Prostate Cancer Imaging 2011: 100-108 - [c5]Xiaofeng Yang, Hamed Akbari, Luma V. Halig, Baowei Fei:
3D non-rigid registration using surface and local salient features for transrectal ultrasound image-guided prostate biopsy. Medical Imaging: Image-Guided Procedures 2011: 79642V - [c4]Xiaofeng Yang, David M. Schuster, Viraj Master, Peter Nieh, Aaron Fenster, Baowei Fei:
Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior. Medical Imaging: Image-Guided Procedures 2011: 796432 - [c3]Hamed Akbari, Xiaofeng Yang, Luma V. Halig, Baowei Fei:
3D segmentation of prostate ultrasound images using wavelet transform. Medical Imaging: Image Processing 2011: 79622K - [c2]Xiaofeng Yang, Ioannis Sechopoulos, Baowei Fei:
Automatic tissue classification for high-resolution breast CT images based on bilateral filtering. Medical Imaging: Image Processing 2011: 79623H - 2010
- [c1]Xiaofeng Yang, Baowei Fei:
A skull segmentation method for brain MR images based on multiscale bilateral filtering scheme. Medical Imaging: Image Processing 2010: 76233K
Coauthor Index
[j9] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [i4] [j3] [c58] [c57] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [i3] [i2] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i1] [c19] [c17] [c16] [c15] [c14] [c12] [c11] [c10]
[c113] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [i6] [i5] [j9] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [i4] [j3] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [i3] [i2] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i1] [c19] [c17]
[c120] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [i18] [i15] [i14] [j10] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [i7] [i6] [i5] [j9] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [i4] [j3] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [i3] [i2] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i1] [c19] [c17] [c16] [c15] [c14] [c12] [c11] [c10] [c9]
Pretesh Patel
aka: Pretesh R. Patel
aka: Pretesh R. Patel
[c120] [c113] [c112] [c111] [i18] [i15] [i13] [i11] [c108] [c107] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [i6] [j9] [c89] [c88] [c87] [c85] [c84] [c83] [c82] [c81] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c62] [c61] [c60] [i4] [j3] [c58] [c57] [c56] [c54] [c53] [c52] [c51] [c50] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c39] [c38] [c37] [c35] [c34] [c33] [i3] [i2] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i1] [c19]
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