Embedded Files
EDUCATION
Ph.D. in Computer Science, Rutgers, the State University of New Jersey, Piscataway, U.S. 09/2012-12/2019
M.S. in Computer Science, Sichuan University, Chengdu, China 09/2006-07/2009
B.S. in Software Engineering, Sichuan University, Chengdu, China 09/2002-07/2006
WORKING
Sr. Applied Scientist
FocusAI Inc., Sunnyvale, CA, USA, 09/2022-Present
Scientist
JDT, Mountain View, CA, USA, 01/2020-07/2022
Ultrasound Algorithm Analyst & Software Engineer
Saset Healthcare Inc., Chengdu, China, 07/2009-04/2012
RESEARCH INTERESTS
Machine Learning: federated learning
Medical Image Analysis: segmentation, detection, motion estimation, denoising and medical imaging
Computer Graphics: 3D/4D medical visualization
GPU computation: medical algorithms optimization and acceleration
CONTACT
ChaoweiTan@gmail.com, ct382@scarletmail.rutgers.edu
Selected Publications
Selected Publications
Journal Papers
Chaowei Tan, Kang Li, Zhennan Yan, Jingru Yi, Pengxiang Wu, Hui Jing Yu, Klaus Engelke, Dimitris Metaxas, "Towards Large-scale MR Thigh Image Analysis via An Integrated Quantification Framework", Neurocomputing, 2017.
Chaowei Tan, Kang Li, Zhennan Yan, Dong Yang, Shaoting Zhang, Hui Jing Yu, Klaus Engelke, Colin Miller, Dimitris Metaxas, "A Detection-driven and Sparsity-constrained Deformable Model for Fascia Lata Labeling and Thigh Inter-muscular Adipose Quantification", Computer Vision and Image Understanding, 2016.
Zhennan Yan, Shaoting Zhang, Chaowei Tan, Hongxing Qin, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, and Dimitris Metaxas, “Atlas-Based Liver Segmentation and Hepatic Fat-Fraction Assessment for Clinical Trials”, Computerized Medical Imaging and Graphics, 2014.
Conference Papers
Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Shaoting Zhang, Kang Li, and Dimitris Metaxas. "DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction", the 26th Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), 2023.
Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li and Dimitris Metaxas, “Dealing with Heterogeneous 3D MR Knee Images: A Federated Few-shot Learning Method with Dual Knowledge Distillation”, the 20th International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2023), 2023.
Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Huang Heng, Peng Dai, Liefeng Bo, and Yanqing Chen, "Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform", arXiv preprint arXiv:2107.04129, 2021.
Guanghan Ning, Guang Chen, Chaowei Tan, Si Luo, Liefeng Bo, and Heng Huang, "Data Augmentation for Object Detection via Differentiable Neural Rendering", arXiv preprint arXiv:2103.02852, 2021.
Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, and Dimitris Metaxas, "Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation", the 22th Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), 2019.
Xiaoxiao He, Chaowei Tan, Yuting Qiao, Virak Tan, Dimitris Metaxas, and Kang Li, "Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data", the SPIE 2019 medical imaging, oral.
Chaowei Tan, Liang Zhao, Zhennan Yan, Kang Li, Dimitris Metaxas, and Yiqiang Zhan, “Deep Multi-task and Task-specific Feature Learning Network for Robust Shape Preserved Organ Segmentation”, the 15th International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2018), 2018. Best student paper awards (one of three awarded papers from 367 published papers).
Dong Yang, Pengxiang Wu, Chaowei Tan, Kilian M Pohl, Leon Axel, Dimitris Metaxas, "3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI", the 9th International Conference on Functional Imaging and Modeling of the Heart (FIMH 2017), 2017.
Chaowei Tan, Zhennan Yan, Kang Li, Dimitris Metaxas, Shaoting Zhang, “Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation”, the 18th Medical Image Computing and Computer Assisted Intervention, workshop on Patch-based Techniques in Medical Imaging (Patch-MI, 2015), 2015.
Chaowei Tan, Zhennan Yan, Dong Yang, Kang Li, Hui Jing Yu, Klaus Engelke, Colin Miller, and Dimitris Metaxas, “Accurate Thigh Inter-muscular Adipose Quantification Using A Data-driven and Sparsity Constrained Deformable Model”, the 12th International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2015), 2015.
Dong Yang, Shaoting Zhang, Zhennan Yan, Chaowei Tan, and Dimitris Metaxas, “Automated Anatomical Landmark Detection on Distal femur Surface Using Convolutional Neural Network”, the 12th International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2015), 2015.
Chaowei Tan, Zhennan Yan, Shaoting Zhang, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, and Dimitris Metaxas, “An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh”, the 22nd International Conference on Pattern Recognition (ICPR 2014), 2014.
Zhennan Yan, Chaowei Tan, Shaoting Zhang, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, and Dimitris Metaxas, “Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI”, the 22nd International Conference on Pattern Recognition (ICPR 2014), 2014.
Chaowei Tan, Bo Wang, Paul Liu, and Dong C. Liu, “Adaptive mesh optimization and nonrigid motion recovery based image registration for wide-field-of-view ultrasound imaging”, the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2008), 2008.
Chaowei Tan, Dong C. Liu, “Image Registration Based Wide-Field-of-View Method in Ultrasound Imaging”, the 2nd IEEE International Conference on Bioinformatics and Biomedical Engineering, 2008.
Bo Wang, Chaowei Tan, and Dong C. Liu, “Fast Local Coherence based Speckle Reducing Anisotropic Diffusion”, International Pre-Olympic Congress on Computing Science, 2008.
Tian Cao, Chaowei Tan, and Dong C. Liu, “Adaptive Curve Region based Motion Estimation and Motion Visualization of Cardiac Ultrasound Imaging”, the 3nd IEEE International Conference on Bioinformatics and Biomedical Engineering, 2009.
Jie Ren, Tian Cao, Chaowei Tan, and Dong C. Liu, “SAD Based Sensor-Less Freehand 3D Ultrasound Reconstruction with Adaptive Curve Correction”, the 4th IEEE International Conference on Bioinformatics and Biomedical Engineering, 2010.
Zhengjuan Fan, Chaowei Tan, and Dong C. Liu, “Fusion of Ultrasound Blood Flow and Color Flow Imaging”, the 5th IEEE International Conference on Bioinformatics and Biomedical Engineering, 2011.
Zhengjuan Fan, Li Wang, Chaowei Tan, and Dong C. Liu, “GPU Based Tissue Doppler Imaging”, the 5th IEEE International Conference on Bioinformatics and Biomedical Engineering, 2011.
Zijuan Xu, Chaowei Tan, Li Wang, Dong C. Liu, “Ultrasound image registration Based on Polar Transform and Block Matching”, the 5th IEEE International Conference on Bioinformatics and Biomedical Engineering, 2011.
Li Wang, Dan Shi, Anyuan Zhao, Chaowei Tan, Dong C. Liu, “Real-time Scan Conversion for Ultrasound Imaging Based on CUDA with Direct3D Display”, the 5th IEEE International Conference on Bioinformatics and Biomedical Engineering, 2011.
Selected Research and Projects
Selected Research and Projects
3D Spatial and Temporal Spectrum Doppler Display for Ultrasound
Proposed a 3D visualization for Spectrum Doppler Display. Using multiple gates to capture the velocity distribution at different locations along the cross-section of a vessel will give spatial in addition to distributional and temporal information. [project page]
Ultrasound Wide-Field-of-View Methods
Using image registration techniques to recover the probe motion and developed the basic WFOV ultrasound imaging algorithm. Utilized semi-implicit based isotropic diffusion as preprocessing method, developed adaptive mesh and block motion estimation methods and applied polygon filling compounding method to implement the advanced WFOV imaging. [project page]
3D/4D Ultrasound System
Utilized Direct3D to implement the Direct Volume Rendering, designed an adaptive methods for freehand reconstruction and developed interactive editing function for 3D ultrasound based on arbitrary projected slices methods for the 3D/4D ultrasound system. [project page]
Motion Estimation and Visualization of Cardiac Ultrasound Imaging
Designed and implemented a novel method for motion estimation and visualization of cardiac ultrasound images. Developed an adaptive curve region based matching algorithm to estimate motion vector field, employed the Thin-Plate Spline transformation to recover the non-rigid motion, and applied the Unsteady Flow Line Integral Convolution for motion visualization. [project page]
Anisotropic Diffusion Speckle Reduction Methods
Proposed a new anisotropic diffusion based speckle reduction method which uses local coherence to control diffusivity in each pixel. Utilized semi-implicit Additive Operator Splitting scheme to discretize and used scalar diffusivity in the anisotropic diffusion. [project page]
Fusion of Ultrasound Blood Flow and Color Flow Imaging
Design and implement a novel method to combine the information from two ultrasound techniques, color flow imaging (CFI) and Blood flow image (BFI), in vascular imaging. CFI uses the auto-correlation technique to estimate the velocity component along the beam direction. BFI provided qualitative information of the blood flow distribution and movement in any direction of the image. [project page]
CUDA Based Tissue Doppler Imaging
Implemented tissue Doppler imaging algorithms such as auto-correlation, scan conversion, dynamic compression and image mapping. Designed fast parallel algorithms based on GPU platform to increase the computation efficiency. [project page]
Competition Experience in Windows Embedded Student Challenge 2006
Competition Experience in Windows Embedded Student Challenge 2006
STORK – A PC-Driven Ultrasound System
Designed and developed a PC-driven ultrasound system to convert an existing hardware-based ultrasound scanner into a low cost, portable and easy to use PC-based ultrasound system. The system consisted of Ultrasound Processing Unit, eBox Computer and I/O Devices and was implemented by P2P communication architecture, DirectDraw and DirectShow. [project page]
Page updated
Google Sites
Report abuse