Yiming Xiao
Orcid: 0000-0002-0962-3525
According to our database1,
Yiming Xiao
authored at least 67 papers
between 2010 and 2024.
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Bibliography
2024
Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly.
Expert Syst. Appl., March, 2024
A Fish-Like Underwater Miniature Robot Capable of High-Speed and Controllable Locomotion.
IEEE Robotics Autom. Lett., 2024
CoRR, 2024
Joint chest X-ray diagnosis and clinical visual attention prediction with multi-stage cooperative learning: enhancing interpretability.
CoRR, 2024
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation.
CoRR, 2024
2023
Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality.
Virtual Real., June, 2023
Int. J. Comput. Assist. Radiol. Surg., April, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection.
Int. J. Comput. Assist. Radiol. Surg., March, 2023
Int. J. Comput. Assist. Radiol. Surg., February, 2023
Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation.
IEEE Trans. Ind. Informatics, 2023
Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises.
Robotics Comput. Integr. Manuf., 2023
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR.
CoRR, 2023
Weakly supervised segmentation of intracranial aneurysms using a 3D focal modulation UNet.
CoRR, 2023
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning.
CoRR, 2023
SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks.
CoRR, 2023
Is Visual Explanation with Grad-CAM More Reliable for Deeper Neural Networks? A Case Study with Automatic Pneumothorax Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
FocalErrorNet: Uncertainty-Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Towards Multi-modal Anatomical Landmark Detection for Ultrasound-Guided Brain Tumor Resection with Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023
Multi-Material, Approach-Guided, Controlled-Resolution Breast Meshing for Fe-Based Interactive Surgery Simulation.
Proceedings of the Annual Modeling and Simulation Conference, 2023
2022
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples.
Knowl. Based Syst., 2022
Identifying plants under natural gas micro-leakage stress using hyperspectral remote sensing.
Ecol. Informatics, 2022
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images.
CoRR, 2022
A novel prototype for virtual-reality-based deep brain stimulation trajectory planning using voodoo doll annotation and eye-tracking.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates.
Adv. Eng. Informatics, 2022
Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022
Weakly Supervised Intracranial Hemorrhage Segmentation Using Hierarchical Combination of Attention Maps from a Swin Transformer.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022
ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications.
Proceedings of the Interspeech 2022, 2022
nnUNet-based Multi-modality Breast MRI Segmentation and Tissue-Delineating Phantom for Robotic Tumor Surgery Planning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Multi-Modality Breast MRI Segmentation Using NNU-NET For Preoperative Planning Of Robotic Surgery Navigation.
Proceedings of the Annual Modeling and Simulation Conference, 2022
2021
Corrections to "Image Guidance in Deep Brain Stimulation Surgery to Treat Parkinson's Disease: A Comprehensive Review".
IEEE Trans. Biomed. Eng., 2021
Image Guidance in Deep Brain Stimulation Surgery to Treat Parkinson's Disease: A Comprehensive Review.
IEEE Trans. Biomed. Eng., 2021
Blind separation of coherent multipath signals with impulsive interference and Gaussian noise in time-frequency domain.
Signal Process., 2021
Defending co-resident attack using reputation-based virtual machine deployment policy in cloud computing.
Trans. Emerg. Telecommun. Technol., 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms.
Int. J. Comput. Assist. Radiol. Surg., 2021
Robust Ultrasound-to-Ultrasound Registration for Intra-operative Brain Shift Correction with a Siamese Neural Network.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Data Imputation and Reconstruction of Distributed Parkinson's Disease Clinical Assessments: A Comparative Evaluation of Two Aggregation Algorithms.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
2020
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge.
IEEE Trans. Medical Imaging, 2020
CoRR, 2020
Automatic collateral circulation scoring in ischemic stroke using 4D CT angiography with low-rank and sparse matrix decomposition.
Int. J. Comput. Assist. Radiol. Surg., 2020
A Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography.
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020
2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 2019 3rd International Conference on Management Engineering, 2019
Research on Decision-making Scheduling Model of Distributed Multi-agent Collaborative Group in Supply Chain Based on Multi-agent System.
Proceedings of the 2nd International Conference on Computers in Management and Business, 2019
2018
IEEE Trans. Medical Imaging, 2018
An augmented-reality system prototype for guiding transcranial Doppler ultrasound examination.
Multim. Tools Appl., 2018
Correction to: Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection.
Int. J. Comput. Assist. Radiol. Surg., 2018
Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection.
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018
2017
Estimation of Strain Elastography from Ultrasound Radio-Frequency Data by Utilizing Analytic Gradient of the Similarity Metric.
IEEE Trans. Medical Imaging, 2017
Towards Automatic Collateral Circulation Score Evaluation in Ischemic Stroke Using Image Decompositions and Support Vector Machines.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
MARCEL (Inter-Modality Affine Registration with CorrELation Ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
2016
User-friendly freehand ultrasound calibration using Lego bricks and automatic registration.
Int. J. Comput. Assist. Radiol. Surg., 2016
2015
IEEE Trans. Medical Imaging, 2015
Int. J. Comput. Assist. Radiol. Surg., 2015
Patch-based label fusion segmentation of brainstem structures with dual-contrast MRI for Parkinson's disease.
Int. J. Comput. Assist. Radiol. Surg., 2015
Atlas-Guided Transcranial Doppler Ultrasound Examination with a Neuro-Surgical Navigation System: Case Study.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2015
2012
Towards Computer-Assisted Deep Brain Stimulation Targeting with Multiple Active Contacts.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
A Prospective Evaluation of Computer-Assisted Deep Brain Stimulation Trajectory Planning.
Proceedings of the Clinical Image-Based Procedures. From Planning to Intervention, 2012
Atlas-Based Segmentation of the Subthalamic Nucleus, Red Nucleus, and Substantia Nigra for Deep Brain Stimulation by Incorporating Multiple MRI Contrasts.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2012
2011
Medical Image Anal., 2011
2010
Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010