Xiaowei Xu

Orcid: 0000-0002-1046-6379

Affiliations:

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 90 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

2023

A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.

[BibT_eX]

[DOI]

Medical Image Anal., December, 2023

MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation.

[BibT_eX]

[DOI]

Health Inf. Sci. Syst., December, 2023

Target area distillation and section attention segmentation network for accurate 3D medical image segmentation.

[BibT_eX]

[DOI]

Health Inf. Sci. Syst., December, 2023

Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., October, 2023

The importance of resource awareness in artificial intelligence for healthcare.

[BibT_eX]

[DOI]

Nat. Mac. Intell., July, 2023

Less Is More: Surgical Phase Recognition From Timestamp Supervision.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, June, 2023

Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter-defibrillators.

[BibT_eX]

[DOI]

Nat. Mac. Intell., May, 2023

How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images.

[BibT_eX]

[DOI]

Xinrong Hu

Xiaowei Xu

Yiyu Shi

CoRR, 2023

GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Additional Positive Enables Better Representation Learning for Medical Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xinpeng Ding

Xiaowei Xu

Xiaomeng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhance Regional Wall Segmentation by Style Transfer for Regional Wall Motion Assessment.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Low-power object-detection challenge on unmanned aerial vehicles.

[BibT_eX]

[DOI]

Nat. Mac. Intell., December, 2022

VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2022

A Quasi-digital QPSK Modulator Design for Biomedical Devices.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neurocomputing, 2022

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images.

[BibT_eX]

[DOI]

CoRR, 2022

FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

DAC-SDC Low Power Object Detection Challenge for UAV Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2021

Quantization of Deep Neural Networks for Accurate Edge Computing.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2021

Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.

[BibT_eX]

[DOI]

CoRR, 2021

ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection.

[BibT_eX]

[DOI]

CoRR, 2021

Quantization of Deep Neural Networks for Accurate EdgeComputing.

[BibT_eX]

[DOI]

CoRR, 2021

A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2021

AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease.

[BibT_eX]

[DOI]

Commun. ACM, 2021

Efficient Localization of Origins of PVC based on Random Signal Segmentation.

[BibT_eX]

[DOI]

Dawei Li

Cong Liu

Xiaowei Xu

Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

Positional Contrastive Learning for Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semi-supervised Contrastive Learning for Label-Efficient Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Ct Image Denoising With Encoder-Decoder Based Graph Convolutional Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation.

[BibT_eX]

[DOI]

Jiawei Zhang

Yanchun Zhang

Xiaowei Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

Pyramid U-Net for Retinal Vessel Segmentation.

[BibT_eX]

[DOI]

Jiawei Zhang

Yanchun Zhang

Xiaowei Xu

Proceedings of the IEEE International Conference on Acoustics, 2021

Invited: Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

"One-Shot" Reduction of Additive Artifacts in Medical Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis.

[BibT_eX]

[DOI]

CoRR, 2020

Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Orchestrating Medical Image Compression and Remote Segmentation Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

BUNET: Blind Medical Image Segmentation Based on Secure UNET.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Zero-Shot Medical Image Artifact Reduction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Constrained Multi-scale Dense Connections for Accurate Biomedical Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Optimal design of a low-power, phase-switching modulator for implantable medical applications.

[BibT_eX]

[DOI]

Integr., 2019

On Neural Architecture Search for Resource-Constrained Hardware Platforms.

[BibT_eX]

[DOI]

CoRR, 2019

Accurate Congenital Heart Disease Model Generation for 3D Printing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Exploiting Computation Power of Blockchain for Biomedical Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Accelerating Dynamic Time Warping With Memristor-Based Customized Fabrics.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

A Multi-Level-Optimization Framework for FPGA-Based Cellular Neural Network Implementation.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2018

Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2018

Scalable and Parameterized Architecture for Efficient Stream Mining.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018

PBGAN: Partial Binarization of Deconvolution Based Generators.

[BibT_eX]

[DOI]

CoRR, 2018

Resource constrained cellular neural networks for real-time obstacle detection using FPGAs.

[BibT_eX]

[DOI]

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEICE Electron. Express, 2017

A single phase modulation for pulse-based inductive-coupling connection in 3D stacked chip.

[BibT_eX]

[DOI]

IEICE Electron. Express, 2017

Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization.

[BibT_eX]

[DOI]

Proceedings of the Neuromorphic Computing Symposium, 2017

FPGA based cellular neural network optimization: from design space to system.

[BibT_eX]

[DOI]

Proceedings of the Neuromorphic Computing Symposium, 2017

Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

Body-Earth Mover's Distance: A Matching-Based Approach for Sleep Posture Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Circuits Syst., 2016

Gaze-Wasserstein: a quantitative screening approach to autism spectrum disorders.

[BibT_eX]

[DOI]

Michelle Hartley-McAndrew

Kathy Ralabate Doody

Wenyao Xu

Proceedings of the 2016 IEEE Wireless Health, 2016

Thermal handprint analysis for forensic identification using Heat-Earth Mover's Distance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Identity, 2016

Sensing from the Bottom: Smart Insole Enabled Patient Handling Activity Recognition Through Manifold Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

2015

A flexible control study of variable speed limit in connected vehicle systems.

[BibT_eX]

[DOI]

Int. J. Embed. Syst., 2015

Energy-efficient pipelined DTW architecture on hybrid embedded platforms.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

Selective and compressive sensing for energy-efficient implantable neural decoding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

On-bed sleep posture recognition based on body-earth mover's distance.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Connected Vehicles and Expo, 2013

A Simulation Study of Connected Vehicle Systems Using Named Data Networking.

[BibT_eX]

[DOI]

Proceedings of the Cloud Computing - 4th International Conference, CloudComp 2013, Wuhan, 2013

Xiaowei Xu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...