Yiming Xiao
Orcid: 0000-0002-0962-3525Affiliations:
- Concordia University, Department of Computer Science and Software Engineering, Montreal, QC, Canada
- McGill University, Montreal, QC, Canada (PhD 2016)
According to our database1,
Yiming Xiao authored at least 81 papers
between 2010 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning.
CoRR, May, 2026
CoRR, May, 2026
NeuroVase: A Tangible Mobile Augmented Reality Learning System for Neurovascular Anatomy and Stroke Education.
CoRR, April, 2026
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent.
Virtual Real., March, 2026
DINOMotion: Advanced Robust Tissue Motion Tracking With DINOv2 in 2D-Cine MRI-Guided Radiotherapy.
IEEE Trans. Biomed. Eng., March, 2026
Bridging the Gaps: Imputation of Parkinson's Disease Clinical Assessments With Federated Learning.
IEEE J. Biomed. Health Informatics, February, 2026
MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation.
CoRR, February, 2026
CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values.
Trans. Mach. Learn. Res., 2026
Medical image classification with KAN-integrated transformers and dilated neighborhood attention.
Appl. Soft Comput., 2026
2025
MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation.
CoRR, November, 2025
Virtual Real., March, 2025
Medical Image Anal., 2025
Comput. Medical Imaging Graph., 2025
Gamification of Immersive Cervical Rehabilitation Exercises in VR: An Exploratory Study on Chin Tuck and Range of Motion Exercises.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2025
TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
Cabld: Contrast-Agnostic Brain Landmark Detection With Consistency-Based Regularization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Weakly Supervised Intracranial Aneurysm Detection and Segmentation in MR Angiography via Multi-Task UNet with Vesselness Prior.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability.
CoRR, 2024
CAMLD: Contrast-Agnostic Medical Landmark Detection with Consistency-Based Regularization.
CoRR, 2024
Virtual Reality-Based Preoperative Planning for Optimized Trocar Placement in Thoracic Surgery: A Preliminary Study.
CoRR, 2024
Joint chest X-ray diagnosis and clinical visual attention prediction with multi-stage cooperative learning: enhancing interpretability.
CoRR, 2024
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage.
Comput. Medical Imaging Graph., 2024
Architecture Analysis and Benchmarking of 3D U-Shaped Deep Learning Models for Thoracic Anatomical Segmentation.
IEEE Access, 2024
VRNConnect: Towards More Intuitive Interaction of 3D Brain Connectivity Data in Virtual Environments.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024
CT-Based Brain Ventricle Segmentation via Diffusion Schrödinger Bridge without target domain ground truths.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography.
Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024
Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model.
Proceedings of the Image Analysis in Stroke Diagnosis and Interventions, 2024
Parkinson's Disease Detection from Resting State EEG Using Multi-head Graph Structure Learning with Gradient Weighted Graph Attention Explanations.
Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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
SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks.
Frontiers Virtual Real., 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
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR.
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
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
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
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
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
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
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