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I am an associate professor at Guangdong Cardiovascular institute (Top 3-4 in cardiovascular subject in China) of Guangdong Provincial People's Hospital (Top 27 in China). I work at the Laboratory of Artificial Intelligence and 3D Technologies for Cardiovascular Diseases as a co-director. The lab director is Jian Zhuang, previous dean of Guangdong Provincial People's Hospital.

I was a post-doc researcher at the Department of Computer Science and Engineering of University of Notre Dame with Prof. Yiyu Shi from 2016 to 2019. I received my Ph.D. degree and B.S. degree from the Department of Electronic Science and Technology at Huazhong University of Science and Technology in 2016 and 2011 under supervision of Prof. Yu Hu and Prof. Xuecheng Zou, respectively. I have been a visiting scholar to University of Alberta (Canada) for three months and to State University of New York at Buffalo for one year during my PhD studies.

My research interests focus on AI for cardiovascular diseases including deep learning, and medical image processing. I have several papers about hardware optimization and deep learning on top conferences including CVPR, AAAI, MICCAI, MIDL, ISBI, DAC, ICCAD, and top-journals including TPAMI, MIA, TMI, TCAD, TBioCAS, Nature Electronics, and Nature Machine Intelligence.

Our team focuses on applying deep learning to clinic applications of cardiovascular diseases. We are collecting a massive of medical data from our hospital for research. Feel free to contact me if you are interested in this topic.

Our team is currently recruiting professors (assistant professor, associate professor and professor), post-doctoral fellows and research assistants for medical image analysis. Feel free to contact me if you are interested in working in a high-level hospital.

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News More »

• TNNLS'23 Dec, 2023: one paper is accepted by TNNLS (Top medical image journal, IF=10)
• MIA'23 August, 2023: one paper is accepted by MIA (Top medical image journal, IF=14)
• BMVC'23 August, 2023: one paper is accepted by BMVC (Top medical image coference)
• ICCV'23 July, 2023: one paper is accepted by ICCV (Top CV coference)
• MICCAI'23 June, 2023: four papers are accepted by MICCAI (Top medical image coference)
• Nature Machine Intelligence'23 May, 2023: Two papers are accepted by Nature Machine Intelligence (IF=25.9)
• TMI'23 Jan, 2022: one papers is accepted by TMI (IF=11)
• BIBM'23 Dec, 2022: one papers is accepted by BIBM (CCF B)
• Nature Machine Intelligence'22 Oct, 2022: one papers is accepted by Nature Machine Intelligence (IF=25.9)
• Guangdong'22 Sept, 2022: one proposal (Guangdong Special Support Plan for High-Level Talents of Guangdong Province, 广东省特支计划青年拔尖人才) is approved.
• NSF'22 Sept, 2022: one proposal (NO.62276071) is approved by NSF
• ASPDAC'22 Sept, 2022: one papers is accepted by ASPDAC (CCF B)
• MICCAI'22 June, 2022: two papers are accepted by MICCAI (Top medical image coference)
• CACM'21 Dec, 2021: one papers is accepted by Communication of The ACM (IF=14)
• BIBM'21 Oct, 2021: one papers is accepted by BIBM (CCF-B)
• Frontiers'21 Oct, 2021: Two papers are accepted by Frontiers (IF=5/6)
• MICCAI'21 May, 2021: three papers are accepted by MICCAI
• IJCNN'21 April, 2021: one paper is accepted by IJCNN (CCF C)
• DAC'21 March, 2021: one paper is accepted by DAC (CCF A)
• ICASSP'21 Jan, 2021: one paper is accepted by ICASSP (CCF B)
• ISBI'21 Jan, 2021: one paper is accepted by ISBI (Top medical image coference)
• AAAI'20 Dec, 2020: one paper is accepted by AAAI (CCF A)
• BIBM'20 Nov, 2020: two papers are accepted by BIBM (CCF B)
• NSF'20 Sep, 2020: two proposals (No. 620060650, NO.8207020125) are approved by NSF
• ICCAD'20 July, 2020: one paper is accepted by ICCAD'20
• Nature Electronics'20 July, 2020: one paper is accepted by Nature Electronics (IF=33)
• MICCAI'20 June, 2020: four paper is accepted by MICCAI'20
• MIDL'20 Mar, 2020: one paper is accepted by MIDL'20
• New Journey Oct, 2019: Join Guangdong Provincial People's Hospital

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Selected Publications All Publications»

h-index: 24   Citations: 2087   ORCID   Scopus   ResearcherID

• TNNLS Shuhan Li, Xiaomeng Li*, Xiaowei Xu*, Kwang-Ting Cheng, "Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification", IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=10), online, 2023. (accepted!)
• MIA Xiaowei Xu, Jia Q., Qiu H., Yuan H., Dong Y., Xie W., Yao Z., Zhang J., Nie Z., , Li X., Shi Y., Zou James*, Huang M.*, Zhuang J.* "A Clinically Applicable AI System for Diagnosis of Congenital Heart Diseases based on Computed Tomography Images", Medical Image Analysis (MIA, IF=14), 2023. (accepted!)
• CMIG Zeng, A., Wu, C., Huang, M., Zhuang, J., Bi, S., Pan, D., ... & Xiaowei Xu*, "ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images", Computerized Medical Imaging and Graphics (CMIG, IF=7.4), 2023.
• BMVC'23 Kaikai Liu, Yiyu Shi, Jian Zhuang, Meiping Huang, Hongwen Fei, Boyang Li, Jin Hong, Qing Lu, Erlei Zhang, Xiaowei Xu, "Enhance Regional Wall Segmentation by Style Transfer for Regional Wall Motion Assessment", Proc. of British Machine Vision Conference (BMVC), 2023.
• ICCV'23 Jiewen Yang, Xinpeng Ding, Ziyang Zheng, Xiaowei Xu*, Xiaomeng Li*, "GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation", International Conference on Computer Vision (ICCV), 2023, Oral presentation. (accepted!)
• NMI'23 Jia Zhenge, Jingtong Hu, Xiaowei Xu#, Yiyu Shi#. "The Importance of Resource Awareness in Artificial Intelligence for Healthcare", Nature Machine Intelligence (NMI, IF=25.9), 2023. (accepted!)
• NMI'23 Jia Zhenge, Dawei Li, Xiaowei Xu#, Jingtong Hu, Yiyu Shi#. "Life-Threatening Ventricular Arrhythmia Detection Challenge in Implantable Cardioverter Defibrillators", Nature Machine Intelligence (NMI, IF=25.9), 2023. (accepted!)
• TMI'23 Xinpeng Ding#, Xinjian Yan#, Zixun Wang, Wei Zhao, Jian Zhuang*, Xiaowei Xu*, and Xiaomeng Li*, "Less is More: Surgical Phase Recognition from Timestamp Supervision", IEEE Transactions on Medical Imaging (TMI, IF=11), 2023, accapted.
• BIBM'22 Zeng An, Chenxi Mi, Dan Pan, Qing Lu, Xiaowei Xu*. "ImageALCAPA: A 3D Computed Tomography Image Dataset for Automatic Segmentation of Anomalous Left Coronary Artery from Pulmonary Artery", IEEE International Conference on Bioinformatics and Biomedicine (BIBM, CCF B), pp. 1800-1803. IEEE, 2022
• ASPDAC'22 Lu Qing, Jiang Weiwen, Xiaowei Xu, Hu Jingtong, & Shi Yiyu . "Quantization Through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space", Asia and South Pacific Design Automation Conference (ASP-DAC'23, CCF B), pp. 1800-1803. IEEE, 2022
• NMI'22 Jia, Zhenge, Xiaowei Xu, Jingtong Hu, and Yiyu Shi. "Low-power object-detection challenge on unmanned aerial vehicles", Nature Machine Intelligence (NMI, IF=25.9), 2022. (accepted!)
• TETCI‘22 Shuangchun Gui, Zhenkun Wang, Xinpeng Ding, Xiaowei Hu, Xiaowei Xu*, Xiaomeng Li*, "Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis", IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI, IF=4.8), 2021.
• TC'22 Tianchen Wang, Jiawei Zhang, Jinjun Xiong, Song Bian, Zheyu Yan, Meiping Huang, Jian Zhuang, Takashi Sato, Xiaowei Xu*, Yiyu Shi, "VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks", IEEE Transactions on Computers (TC, CCF-A) 71, no. 11 (2022): 2717-2727.
• JETC'22Li, Dawei, Yang Zhou, Shaopin Chen, and Xiaowei Xu. Xiaowei Xu*, "A Quasi-digital QPSK Modulator Design for Biomedical Devices.", ACM Journal on Emerging Technologies in Computing Systems (JETC, CCF C) 18, no. 2 (2022): 1-16.
• Neurocomputing'22Zhou, Shanglin, Xiaowei Xu*, Jun Bai, and Mikhail Bragin. "Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge.", Neurocomputing (IF=5.8) 512 (2022): 466-481.
• MICCAI'22 Qing Lu, Xiaowei Xu, Shunjie Dong, Callie Hao, Lei Yang, Cheng Zhuo, and Yiyu Shi, "RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation", 24th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'21, Top conference in medical imaging), 2021.
• MICCAI'22 Yawen Wu*, Dewen Zeng* (equal contribution), Xiaowei Xu, Yiyu Shi and Jingtong Hu, "FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis", 24th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'21, Top conference in medical imaging), 2021. early accept, acceptance rate 13%
• BIBM'21 Yu-Jen Chen, Yen-Jung Chang, Shao-Cheng Wen, Yiyu Shi, Xiaowei Xu, Tsung-Yi Ho, Meiping Huang, Haiyun Yuan, and Jian Zhuang, "“One-Shot” Reduction of Additive Artifacts in Medical Images", IEEE International Conference on Bioinformatics and Biomedicine (BIBM'21, CCF B), 2021.
• MICCAI'21 Tianchen Wang, Zhihe Li, Meiping Huang, Jian Zhuang, Shanshan Bi, Jiawei Zhang, Yiyu Shi, Hongwen Fei, Xiaowei Xu, "EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis", 24th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'21, Top conference in medical imaging), 2021.
• MICCAI'21 Xinrong Hu, Dewen Zeng, Xiaowei Xu, Yiyu Shi, "Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation", 24th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'21, Top conference in medical imaging), 2021.
• MICCAI'21 Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi , "Positional Contrastive Learning for Volumetric Medical Image Segmentation", 24th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'21, Top conference in medical imaging), 2021.
• IJCNN'21 Zhang Jiawei, Yanchun Zhang, Xiaowei Xu, "Objectaug: object-level data augmentation for semantic image segmentation", 2021 International Joint Conference on Neural Networks (IJCNN'21). IEEE, 2021.
• DAC'21 Dewen Zeng, Yukun Ding, Xiaowei Xu, Haiyun Yuan, Hongwen Fei, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi, "Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography", Proc. of IEEE/ACM Design Automation Conference (DAC'21, CCF-A), 2021.
• ICASSP'21 Jiawei Zhang, Yanchun Zhang, Xiaowei Xu, "Pyramid U-Net for Retina Vessel Segmentation", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'21, CCF B), 2021.
• AAAI'21 Dongxu Wei, Xiaowei Xu, Haibin Shen, Kejie Huang, "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer", 35th AAAI Conference on Artificial Intelligence (AAAI'21, CCF A), 2021.
• BIBM'20 Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu, Wujie Wen, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Meiping Huang, Haiyun Yuan, and Jian Zhuang, "Do noises bother human and neural networks in the same way? A medical image analysis perspective", IEEE International Conference on Bioinformatics and Biomedicine (BIBM'20, CCF B), 2020.
• BIBM'20 Jiawei Zhang, Yanchun Zhang, Shanfeng Zhu, Xiaowei Xu, "Constrained Multi-scale Dense Connections for Accurate Biomedical Image Segmentation", IEEE International Conference on Bioinformatics and Biomedicine (BIBM'20, CCF B), 2020.
• Nature Electronics'20 Yukun Ding, Jinglan Liu, Weiwen Jiang, Sharon Xiaobo Hu, Jingjun Xiong, Xiaowei Xu* and Yiyu Shi*, "The Hardware Implication of Neural Networks Competency-Awareness", Nature Electronics, Top Journal, 2020. (online)
• MICCAI'20 Xiaowei Xu, Tianchen Wang, Jian Zhuang, Haiyun Yuan, Meiping Huang, Qianjun Jia, Jianzheng Cen, Yuhao Dong, Yiyu Shi, "ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease", 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'20, Top conference in medical imaging), October 4-8, VIirtual Conference, 2020.
• MICCAI'20 Tianchen Wang*, Xiaowei Xu*, Jinjun Xiong, Qianjun Jia, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi, "ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D CardiacCine MRI Segmentation", 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'20, Top conference in medical imaging), October 4-8, VIirtual Conference, 2020.
• MICCAI'20 Zihao Liu, Sicheng Li, Yen-Kuang Chen, Tao Liu, Qi Liu, Xiaowei Xu, Yiyu Shi, Wujie Wen, "Orchestrating Medical Image Compression and Remote Segmentation Networks", 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'20, Top conference in medical imaging), October 4-8, VIirtual Conference, 2020.
• MICCAI'20 Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato, "BUNET: BlindMedical Image Segmentation Based on Secure UNET", 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'20, Top conference in medical imaging), October 4-8, VIirtual Conference, 2020.
• ICCAD'20 Dewen Zeng, Weiwen Jiang, Tianchen Wang,Xiaowei Xu, Haiyun Yuan, Meiping Huang,Jian Zhuang, Jingtong Hu and Yiyu Shi, "Towards Cardiac Intervention Assistance: Hardware-Aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation", IEEE/ACM International Conference on Computer-Aided Design (ICCAD'20, CCF-B), November 2-5, VIirtual Conference, 2020.
• ISBI'20 Yu-Jen Chen, Yen-Jeng Chang, Shao-Cheng Wen, Xiaowei Xu, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang, and Yiyu Shi, "Zero-Shot Medical Image Artifact Reduction", IEEE International Symposium on Biomedical Imaging (ISBI'20, Top conference in medical imaging), April 3-7, VIirtual Conference, 2020.
• MIDL'20 Yukun Ding, Jinglan Liu, Xiaowei Xu, Meiping Huang, Jian Zhuang, Jinjun Xiong, Yiyu Shi, "Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation", International Conference on Medical Imaging with Deep Learning (MIDL'20, Top conference in medical imaging), July 6-9, VIirtual Conference, 2020.
• IEEE TMM'20 Dongxu Wei, Xiaowei Xu, Haibin Shen, and Kejie Huang, "GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer", IEEE Transactions on Multimedia (TMM'20, CCF-B), in print, 2020.
• IEEE TCAD'20 Jinglan Liu, Jiaxin Zhang, Yukun Ding, Xiaowei Xu, Meng Jiang, and Yiyu Shi, "Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD'20, CCF-A), in print, 2020.
• IEEE TPAMI'19 Xiaowei Xu*, Xinyi Zhang*, Bei Yu, Xiaobo Sharon Hu, Christopher Rowen, Jingtong Hu, and Yiyu Shi, "DAC-SDC Low Power Object Detection Challenge for UAV Applications", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI'19, CCF-A), Vol. 29, Iss. 1-2, pp. 1-14, 1939-3539, 2019.
• ICCAD'19 Qing Lu, Weiwen Jiang, Xiaowei Xu, Yiyu Shi, Jingtong Hu, "On Neural Architecture Search for Resource-Constrained Hardware Platforms", IEEE/ACM International Conference on Computer-Aided Design (ICCAD'19, CCF-B), November 4-7, Westminster, Colorado, 2019.
• MICCAI'19 Xiaowei Xu, Tianchen Wang, Yiyu Shi, Qianjun Jia, Haiyun Yuan, Meiping Huang,Jian Zhuang, "Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching", 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'19, Top conference in medical imaging), 13-17 Oct, Shenzhen, China, 2019.
• MICCAI'19 Tianchen Wang, Xiaowei Xu, jingjun, Xiong, Yiyu Shi, "MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation", 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI'19, Top conference in medical imaging), 13-17 Oct, Shenzhen, China, 2019.
• CVPR'19 Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Meiping Huang, Haiyun Yuan,Jian Zhuang, Yiyu Shi, "Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds", IEEE Conference on Computer Vision and Pattern Recognition (CVPR'19, CCF-A), 16-20 June, Long Beach, US, 2019.
• AAAI'19 Tianchen Wang, Xiaowei Xu, jingjun, Xiong, Yiyu Shi, "SCNN: A General Distribution based Statistical Convolutional Neural Networkwith Application to Video Object Detection", The 33th AAAI Conference on Artificial Intelligence (AAAI'19, CCF-A), 27 Jan-1 Feb, Honolulu, US, 2019.
• IEEE TCAD'18 Xiaowei Xu, Feng Lin, Wenyao Xu, Xinwei Yao and Yiyu Shi, Dewen Zeng, Yu Hu, "MDA: A Reconfigurable Memristor-Based Distance Accelerator for Time Series Mining on Data Centers", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD'18, CCF-A), Vol. 38, Iss. 1-2, pp. 385-397, 2018.
• Nature Electronics'18 Xiaowei Xu, Yukun Ding, Sharon Xiaobo Hu, Michael Niemier, Jason Cong, Yu Hu, and Yiyu Shi, "Scaling for edge inference of deep neural networks", Nature Electronics, Top Journal, Vol. 1, Iss. 4, pp. 216-222, 2018.
• IEEE TCAD'18 Xiaowei Xu, Feng Lin, Aosen Wang, Qing Lu, Wenyao Xu, Yiyu Shi and Yu Hu, "Accelerating Dynamic Time Warping With Memristor-Based Customized Fabrics", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD'18, CCF-A), Vol. 37, Iss. 4, pp. 729-741, 2018.
• CVPR'18 Xiaowei Xu, Qing Lu, Lin Yang, Sharon Hu, Danny Chen, Yu Hu, Yiyu Shi, "Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18, CCF-A), 19-21 June, Salt Lake City, US, 2018.
• DAC'17 Xiaowei Xu, Dewen Zeng, Wenyao Xu, Yiyu Shi, Yu Hu, "An Efficient Memristor-Based Distance Accelerator for Time Series Data Mining on Data Centers", The 54th Design Automation Conference (DAC'17, CCF-A), June 18-22, Austin, TX, US, 2017.
• ICCAD'17 Xiaowei Xu, Qing Lu, Tianchen Wang, Jinglan Liu, Chen Zhuo, Sharon Hu, Yiyu Shi, "Empowering Mobile Telemedicine with Compressed Cellular Neural Networks", IEEE/ACM 2017 International Conference On Computer-Aided Design (ICCAD'17, CCF-B), Nov 13-16, Irvine, CA, US, 2017.
• IEEE TBioCAS'16 Xiaowei Xu, Feng Lin, Aosen Wang, Yu Hu, Ming-chun Huang, and Wenyao Xu, "Body-Earth Mover's Distance: A Matching-Based Approach for Sleep Posture Recognition", IEEE Transactions on Biomedical Circuits and Systems (TBioCAS'16), Vol. 10, Iss. 5, pp. 1932-4545, 2016.
• BioCAS'15 Xiaowei Xu, Feng Lin, Aosen Wang, Chen Song, Yu Hu, and Wenyao Xu, "On-bed Sleep Posture Recognition Based on Body-Earth Movers Distance", IEEE Biomedical Circuits and Systems Conference (BioCAS’15), 22-24 Oct., Atlanta, Georgia, US, 2015.

All Publications »

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Professional Service More »

Conference Program Committee

• IPCAI 2024: 2024, [The 15th International Conference on Information Processing in Computer-Assisted Interventions]
• CVPR 2024: 2024, [IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)]
• AAAI 2023, 2024: 2023, [AAAI Conference on Artificial Intelligence]
• ECAI 2023: 2023, [European Conference on Artificial Intelligence ECAI]
• MICCAI 2021, 2022, 2023: 2023, [International Conference on Medical Image Computing and Computer Assisted Intervention]
• IJCAI-PRICAI workshop, HBAI 2020: Joint Workshop on Human Brain and Artificial Intelligence, Held in Conjunction With IJCAI-PRICAI
• IEEE ISVLSI: 2019, 2018, [IEEE Computer Society Annual Symposium on VLSI]
• IEEE ICCD: 2019, 2018, [IEEE International Conference on Computer Design (ICCD)]
• IEEE ISQED: 2019, [International Symposium on Quality Electronic Design]

Journal Reviewer

• Nature Method NM(1), [Nature Method]
• TMI NM(1), [IEEE Transections on Medical Imaging]
• Nature Computational Science NCS(1), [Nature Computational Science]
• IEEE TNNLS(1), [IEEE Transactions on Neural Networks and Learning Systems]
• IEEE TCAD(8), [IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems]
• IEEE TVLSI (1), [IEEE Transactions on Very Large Scale Integration]
• IEEE TC (3), [IEEE Transactions on Computer]
• IEEE TBioCAS (3), [IEEE Transactions on Biomedical Circuits and Systems]
• Elsevier's Integration (9), [Integration the VLSI journal]
• ACM JETC (7), [ACM Journal on Emerging Technologies in Computing Systems]
• IEEE Embedded Systems Letters (2), [IEEE Embedded Systems Letters]
• MICCAI MICCAI (3), [ International Conference on Medical Image Computing and Computer Assisted Intervention]
• MDPI Sensors (2), [MDPI Sensors]

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Resources

• Google Search Skills This is important in this infomation age speciall for researchers. Local link
• Google Scholar Skills Improve your searching with Google Scholar. Local link
• Review Skill Useful tips to review a scientific paper. Local link
• Publish High-quality Papers Useful tips to publish high-quality papers. Local link
• Github I support open-source code development.
• Writing Recommendation Letter Useful tips to prepare recommendation letters. Local link
• Cover Letter Cover letter template which I think is a good starting point. :-) Local link
• Literatures every day Red papers.
• Other reading Record readings.

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Published datasets

• The first CT datasets of whole heart and greats vessels segmentation in congenital heart disease. A challenging task.
• The first CT datasets of diagnosis in congenital heart disease. Interesting task and needs domain knowledge.
• The first Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis Interesting task.
• A 3D CT image dataset, ImageTBAD, for segmentation of Type-B Aortic Dissection Challenging.
• ImageCAS, containing 1000 3D CTA images for segmentation of coronary arteries Challenging.

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Contact

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