Xiaowei Xu
Orcid: 0000-0002-1046-6379Affiliations:
- Guangdong Provincial People's Hospital, China
- University of Notre Dame, Indiana, USA (former)
- Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China (PhD 2016)
According to our database1,
Xiaowei Xu
authored at least 101 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Pattern Recognit., 2025
2024
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024
HOCM-Net: 3D coarse-to-fine structural prior fusion based segmentation network for the surgical planning of hypertrophic obstructive cardiomyopathy.
Expert Syst. Appl., 2024
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Automatic Segment-Level Assessment of Regional Wall Motion Abnormality From Echocardiography Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Fusion of Machine Learning and Deep Neural Networks for Pulmonary Arteries and Veins Segmentation in Lung Cancer Surgery Planning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet Path Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.
Medical Image Anal., December, 2023
Health Inf. Sci. Syst., December, 2023
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation.
Health Inf. Sci. Syst., December, 2023
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images.
Comput. Medical Imaging Graph., October, 2023
Nat. Mac. Intell., July, 2023
IEEE Trans. Medical Imaging, June, 2023
Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter-defibrillators.
Nat. Mac. Intell., May, 2023
Hardware-aware neural architecture search for stochastic computing-based neural networks on tiny devices.
J. Syst. Archit., February, 2023
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Enhance Regional Wall Segmentation by Style Transfer for Regional Wall Motion Assessment.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Quantization through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023
Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy.
Proceedings of the Asian Conference on Machine Learning, 2023
2022
Nat. Mac. Intell., December, 2022
VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks.
IEEE Trans. Computers, 2022
ACM J. Emerg. Technol. Comput. Syst., 2022
Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge.
Neurocomputing, 2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images.
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
RT-DNAS: Real-Time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
ImageALCAPA: A 3D Computed Tomography Image Dataset for Automatic Segmentation of Anomalous Left Coronary Artery from Pulmonary Artery.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
IEEE Trans. Multim., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images.
ACM J. Emerg. Technol. Comput. Syst., 2021
ACM J. Emerg. Technol. Comput. Syst., 2021
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.
CoRR, 2021
ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection.
CoRR, 2021
A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image.
Int. J. Comput. Assist. Radiol. Surg., 2021
AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease.
Commun. ACM, 2021
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography.
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Invited: Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis.
CoRR, 2020
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Joint Clinical Data and CT Image Based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Constrained Multi-scale Dense Connections for Accurate Biomedical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
MDA: A Reconfigurable Memristor-Based Distance Accelerator for Time Series Mining on Data Centers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
Optimal design of a low-power, phase-switching modulator for implantable medical applications.
Integr., 2019
CoRR, 2019
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019
Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
A Multi-Level-Optimization Framework for FPGA-Based Cellular Neural Network Implementation.
ACM J. Emerg. Technol. Comput. Syst., 2018
Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit.
ACM J. Emerg. Technol. Comput. Syst., 2018
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018
Resource constrained cellular neural networks for real-time obstacle detection using FPGAs.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Analysis and measurement of misalignment effect in inductive-coupling wireless inter-chip connection.
IEICE Electron. Express, 2017
A single phase modulation for pulse-based inductive-coupling connection in 3D stacked chip.
IEICE Electron. Express, 2017
Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization.
Proceedings of the Neuromorphic Computing Symposium, 2017
Proceedings of the Neuromorphic Computing Symposium, 2017
Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
An Efficient Memristor-based Distance Accelerator for Time Series Data Mining on Data Centers.
Proceedings of the 54th Annual Design Automation Conference, 2017
2016
Body-Earth Mover's Distance: A Matching-Based Approach for Sleep Posture Recognition.
IEEE Trans. Biomed. Circuits Syst., 2016
Proceedings of the 2016 IEEE Wireless Health, 2016
Thermal handprint analysis for forensic identification using Heat-Earth Mover's Distance.
Proceedings of the IEEE International Conference on Identity, 2016
Sensing from the Bottom: Smart Insole Enabled Patient Handling Activity Recognition Through Manifold Learning.
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016
Automated patient handling activity recognition for at-risk caregivers using an unobtrusive wearable sensor.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
Int. J. Embed. Syst., 2015
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015
2013
An energy-efficient sub-Nyquist sampling method based on compressed sensing in wireless sensor network for vehicle detection.
Proceedings of the International Conference on Connected Vehicles and Expo, 2013
Proceedings of the Cloud Computing - 4th International Conference, CloudComp 2013, Wuhan, 2013