2024

1. A. Tehrani, E.G.S. Dayavansha, Y. Gu, I. Candel, M. Wang, R. Tadross, Y. Xiao, H. Rivaz, K. Thomenius, A. Samir, "Unsupervised Physics-inspired Shear Wave Speed Estimation in Ultrasound Elastograph," The 5th MICCAI Workshop of Advances in Simplifying Medical Ultrasound (ASMUS), accepted, 2024.  
2. C. Neves, Y. Zeng, Y. Xiao, “Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations,”  The 7th MICCAI workshop on Machine Learning in Clinical Neuroimaging (MLCN), accepted, 2024.
3. P. Spiegler, A. Rasoulian, Y. Xiao, "Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model,"  The 2024 MICCAI Stroke Workshop on Imaging and Treatment Challenges (SWITCH), accepted, 2024.
4. A. Harirpoush, G. Rakovich, M. Kersten-Oertel, Y. Xiao, "Virtual Reality-Based Preoperative Planning for Trocar Placement in Thoracic Surgery: A Preliminary Study,"  The 18th MICCAI Workshop on Augmented Environments for Computer Assisted Interventions (AE-CAI), accepted,2024.  
5. B. Behboodi, F.X Carton, M. Chabanas, S. de Ribaupierre, O. Solheim, B.K.R. Munkvold, H. Rivaz, Y. Xiao, I. Reinertsen, "RESECT-SEG: Open access segmentations of intra-operative brain tumor ultrasound images", Medical Physics, 2024 [data repo: https://osf.io/jv8bk/].
6. M. Alizadeh, Y. Xiao, M. Kersten-Oertel, "Virtual and augmented reality in ventriculostomy: A systematic review," World Neurosurgery, 2024.
7. R Teimouri, M. Kersten-Oertel, Y. Xiao, "CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths," accepted at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. [Nomination for the best paper award, top 1.6% of submissions]
8. T Koleilat, H. Rivaz, Y. Xiao, "MedCLIP-SAM: Bridging text and image towards universal medical image segmentation," accepted at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.
9. Z. Qiu, H. Rivaz, Y. Xiao, "Joint chest X-ray diagnosis and clinical visual attention prediction with multi-stage cooperative learning: enhancing interpretability," arXiv:2403.16970, 2024.
10. A. Harirpoush, A. Rasoulian, M. Kersten-Oertel, Y. Xiao, “CT-based Anatomical Segmentation for Thoracic Surgical Planning: A Benchmark Study for 3D U-shaped Deep Learning Models,” arXiv:2402.03230, 2024.
11. ​M. Aktar, Y. Xiao, A. Kafaee, D. Tampieri, H. Rivaz, M. Kerseten-Oertel,  "SCANED: Siamese Collateral Assessment Network for Evaluation of Collaterals from Ischemic Damage Computerized Medical Imaging and Graphics," Computerized Medical Imaging and Graphics, 2024.
12. O. Hellum, C. Steele, Y. Xiao, “SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks,” Frontiers in Virtual Reality, 2024.
13. S. Jalayer, Y. Xiao, M. Kersten-Oertal, "VRNConnect: Towards more intuitive interaction of 3D brain connectivity data in virtual environments," IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 24-29, 2024.​
14. C. Neves, Y. Zeng, Y. Xiao, “Graph structure learning with gradient weighted multi-head graph attention for Parkinson’s disease from resting-state EEG,” UNIUQE Student Symposium, 2024.

2023

1. Z. Qiu, H. Rivaz, Y. Xiao, "Is visual explanation with Grad-CAM more reliability for deeper neural networks? a case study with automatic pneumothorax diagnosis," The 14th MICCAI workshop on Machine Learning in Medical Imaging (MLMI), LNCS14349, 224-233, 2023.
2. A. Rasoulian, S. Salari, Y. Xiao, "Weakly supervised segmentation of intracranial aneurysms using a 3D focal modulation UNet," ArXiv:2308.03001, 2023.
3. M. Aktar, H. Rivaz, M. Kerseten-Oertel, Y. Xiao, "VesselShot: Few-shot learning for cerebral blood vessel segmentation," The 6th MICCAI workshop on Machine Learning in Clinical Neuroimaging (MLCN), LNCS14312, 46-55, 2023.
4. P. Roshanzamir, H. Rivaz, J. Ahn, H. Mirza, N. Naghdi, M. Battie, M. Fortin, Y. Xiao, "How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation," the MICCAI workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE), LNCS14291, 74-83, 2023. 
5. S. Salari, A. Rasoulian, H. Rivaz, Y. Xiao, "Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning," accepted at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
6. S. Salari, A. Rasoulian, H. Rivaz, Y. Xiao, "FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery," accepted at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. [Early acceptance, top 13% of submissions]
7. Y. Xiao, J.C. Lau, T.M. Peters, A.R. Khan, "A population-averaged structural connectomic brain atlas of 422 HCP-Aging subjects," Data in Brief, 109513, 2023.  
8. M. Arafe, N. Bhagwat, Y. Chatelain, M. Dugre, A. Sokolowsi, M. Wang, Y. Xiao, M. Sharp, J.B. Poline, T. Glatard, “Predicting Parkinson’s disease progression using MRI-based white matter radiomic biomarker and machine learning: a reproducible and replicability study,” bioRxiv 2023.05.05.539590; doi: https://doi.org/10.1101/2023.05.05.539590, 2023.
9. ​V. Madge, V. Fonov, Y. Xiao, L Zou, C Jackson, R Postuma, A Dagher, E.A. Fon, D.L. Louis, "A dataset of multi-contrast unbiased average MRI template of a Parkinson's disease population," Data in Brief, e066612, 2023.
10. A. Rasoulian, S. Salari, Y. Xiao, "Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning," the Machine Learning and for Biomedical Imaging (MELBA) Journal,  accepted, 2023.  [preprint: arXiv: 2304.04902]
11. N. Masoumi, H. Rivaz, I. Hachihaliloglu, M.O. Ahmad, I. Reinertsen, Y. Xiao, "The Big Bang of deep learning in ultrasound-guided surgery: a review," IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2023.​
12. M. Anstruther, B. Rossini, T. Zhang, T. Liang, Y. Xiao, M. Fortin, "PILLAR: ParaspInaL muscLe segmentAtion pRoject - a comprehensive online resource to guide manual segmentation of paraspinal muscles from Magnetic Resonance Imaging,"  BMC Musculoskelet Disord 24, 909, 2023. [Link to PILLAR website: https://projectpillar.github.io]
13. M. Aktar, J. Reyes, D. Tampieri, H. Rivaz, Y. Xiao, M. Kersten-Oertel, "Deep Learning for Collateral Evaluation in Ischemic Stroke with Imbalanced Data", accepted in the  International Journal of Computer-Assisted Radiology and Surgery, 2023.
14. S. Salari, A. Rasoulian, M. Battie, M. Fortin, H. Rivaz, Y. Xiao, "Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs,"  SPIE Medical Imaging, 2023. [Image Processing Best Student Paper Award]
15. O. Hellum, M. Kersten-Oertel, Y. Xiao, "Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality," accepted in Virtual Reality, EPub, 2023.
16. S. Salari, A. Rasoulian, H. Rivaz, Y. Xiao, “Dense error map estimation for MRI-ultrasound registration in brain tumor surgery using Swin UNETR,” The 2023 International Ultrasound Symposium, accepted, 2023.
17. S. Jalayer, Y. Xiao, M. Kersten-Oertal, "VRNConnect: an interactive virtual reality platform for connectomic data exploration," The 2023 Organization of Human Brain Mapping (OHBM) Annual Meeting, accepted, 2023.
18. M. Minetama, Y. Xiao, L. Gibbons, T.M Hamza, M. Fortin, M.C. Battie, "Paraspinal muscle morphology and composition in lumbar spinal stenosis vs. chronic low back pain," SpineWeek 2023, 2023.

2022

1. A. Hering, .., Y.Xiao, B. Landman, Y. Huo, K. Murphy, B van Ginneken, A. Dalca, M.P. Heinrich, "Learn2Reg: comprehensive multi-task medical image registration chalenge, dataset and evaluation in the era of deep learning," IEEE Transactions on Medical Imaging,Epub, 2022.
2. A. Pirhadi, H. Rivaz, M.O. Ahmad, Y. Xiao, "Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection," the International Journal of Computer-Assisted Radiology and Surgery, Epub, 2022.
3. V. Madge, V. Fonov, Y. Xiao, L Zou, C Jackson, R Postuma, A Dagher, E.A. Fon, D.L. Louis, "A dataset of multi-contrast unbiased average MRI template of a Parkinson's disease population," medRxiv, 2022, doi: https://doi.org/10.1101/2022.07.06.22277331.
4. B. Behoodi, F.X. Carton, M. Chabana, S. de Ribaupierre, O. Solheim, B. Munkvoid, H. Rivaz, Y. Xiao, I. Reinertsen, "RESECT-SEG: Open access annotation of intra-operative brain tumor ultrasound images," arXiv preprint arXiv:2207.07494, 2022.
5. N. Masoumi, H. Rivaz, O. Ahmed, Y. Xiao, "DiffeoRaptor: Diffeomorphic inter-modal image registration using RaPTOR," the International Journal of Computer-Assisted Radiology and Surgery, accepted, 2022.
6. A. Rasoulian, S. Salari, Y. Xiao, "Weakly Supervised Intracranial Hemorrhage Segmentation using Hierarchical Combination of Attention Maps from a Swin Transformer," the 5th MICCAI workshop on Machine Learning in Clinical Neuroimaging (MLCN), 2022.
7. P. Roshanzamir, H. Rivaz, J. Ahn, H. Mirza, N. Naghdi, M. Battie, M. Fortin, Y. Xiao, "Joint paraspinal muscle segmentation and inter-rater labeling variability prediction with multi-task TransUNet," the MICCAI workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE), accepted, 2022. 
8. M. Alqaoud, E. Feliberti, S. Dong, K. Kaipa, G. Fichtinger, Y. Xiao, M. Audette, “nnUnet-based multi-modal breast MRI segmentation and tissue-delineating phantom for robotic tumor surgery planning,” the 2022 IEEE Engineering in Medicine and Biology Conference (EBMC), 2022. 
9. N. Masoumi, H. Rivaz, O. Ahmed, Y. Xiao, “DiffeoRaptor: Diffeomorphic inter-modal image registration using RaPTOR,” Quebec Bioimaging Network Scientific Day, 2022.
10. V. Madge, V. Fonov, Y. Xiao, L. Zou, C. Jackson, R. Postuma, A. Dagher, E.A. Fon, D.L. Collins, “Multi-contrast unbiased MRI template of a Parkinson’s disease population,” the 2022 Alzheimer’s Association International Conference (AAIC), 2022.

2021

1. A. Hering, .., Y.Xiao, B. Landman, Y. Huo, K. Murphy, B van Ginneken, A. Dalca, M.P. Heinrich, "Learn2Reg: comprehensive multi-task medical image registration chalenge, dataset and evaluation in the era of deep learning," arXiv: 2112.04489, 2021.
2. O. Hellum, Y. Mu, M. Kersten-Oertel, Y. Xiao, "A novel prototype for virtual-reality-based deep brain stimulation trajectory planning using voodoo doll annotation and eye-tracking," Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2021.
3. A. Pirhadi, H. Rivaz, M.O. Ahmad, Y. Xiao, "Robust ultrasound-to-ultrasound registration for intra-operative brain shift correction with a Siamese neural network," The 2nd International MICCAI Workshop of Advances in Simplifying Medical UltraSound (ASMUS2021), LNCS12967, 85-95, 2021.
4. J. Reyes, Y. Xiao, M. Kersten-Oertel, "Distributed learning for Parkinson's disease clinical assessments: a comparative evolution of aggregation algorithms," The MICCAI workshop on Secure and Privacy Preserving Machine Learning for Medical Imaging (PPML), LNCS 12969, 163-173, 2021.
5. Y. Xiao, M. Fortin, J. Ahn, H. Rivaz, T.M. Peters, and M.C. Battle, "Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation," Scientific Reports, 2021.
6. Y. Xiao, T.M. Peters, A.R. Khan, "Characterizing white matter alterations subject to clinical laterality in drug-naïve de novo Parkinson’s disease," Human Brain Mapping, Epub, 2021.
7. N. Masoumi, C. Belasso, M. O. Ahmad, Y. Xiao, H. Rivaz, “Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms,” International Journal of Computer-Assisted Radiology and Surgery, 2021.
8. Y. Xiao, J.C. Lau, D. Hemachandra, G. Gilmore, A.R. Khan, and T. Peters, “Image guidance in deep brain stimulation surgery for Parkinson's disease: a comprehensive review,” IEEE Transactions on Biomedical Engineering, 68(3), 1024-1033, 2021. [Featured article in March 2021 issue of IEEE TBME]
9. Y. Xiao, T.M. Peters, A.R. Khan, "Characterizing white matter alterations in drug-naïve de novo Parkinson’s disease using diffusion MRI," the 29th International Society for Magnetic Resonance in Medicine (ISMRM) 2021 annual meeting & exhibition,  2021. 
10. N.K. Christidis, J. DeKraker, Y. Xiao, S. Kohler, D.A. Steven, A.R. Khan, “Parcellation of the piriform cortex through unfolding and clustering of laminar features in the 3D BigBrain: correspondence with diffusion tractography and resting-state fMRI at 7T,” accepted at the 8th Annual Imaging Network Ontario Symposium, Canada, 2021.

2020

1. M. Aktar, Y. Xiao, D. Tampieri, H. Rivaz, and M. Kersten-Oertel,"A radiomics-based machine learning approach to assess collateral circulation in stroke on non-contrast computed tomography,” the 9th MICCAI workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging (CLIP), LNCS 12445, 24-33, 2020. 
2. M. Aktar, D. Tampieri, H. Rivaz, M. Kersten-Oertel, and Y. Xiao, "Circulation Scoring in Ischemic Stroke using 4D CT angiography with low-rank and sparse matrix decomposition," International Journal of Computer-Assisted Radiology and Surgery, 15,1501-1511, 2020.
3. J.C. Lau, Y. Xiao, R Haast, G. Gilmore, K. Uludag, K.W. MacDougall, R. Menon, A.G. Parrent, T.M. Peters, and A.R. Khan, “Direction visualization and characterization of the human zona incerta and surrounding structures,” Human Brain Mapping, 41(16),4500-4517, 2020​
4. J. Luo, G. Ma, S. Frisken, P Juvekar, N. Haouchine, Z. Xu, Y. Xiao, A. Golby, P. Codd, M. Sugiyama, W. Wells III, “Do public datasets assure unbiased comparison for registration evaluation?,”arXiv:2003.09483, 2020. 
5. Y. Xiao, J.C. Lau, A.R. Khan, T.M. Peters, “A quantitative and connectomic atlas of a Parkinson’s disease cohort at 7 Tesla,” the 2020 Organization of Human Brain Mapping (OHBM) Annual Meeting, Montreal, Canada, 2020.
6. N.K. Christidis, J. DeKraker, Y. Xiao, S. Kohler, D.A. Steven, A.R. Khan, “Parcellation of the piriform cortex through unfolding and clustering of laminar features in the 3D BigBrain,” the 2020 Organization of Human Brain Mapping (OHBM) Annual Meeting, Montreal, Canada, 2020.
7. J.C. Lau, Y. Xiao, G. Gilmore, K.W. MacDougall, A.G. Parrent, Catherine Currie, T.M. Peters, A.R. Khan, “Direct visualization and characterization of the human zona incerta and surrounding fiber tracts,” the 2020 Organization of Human Brain Mapping (OHBM) Annual Meeting, Montreal, Canada, 2020.
8. E. Leger, R. Vassallo, T. Popa, T.M. Peters, Y. Xiao, M. Kersten-Oertel, “A prototype for video-based hemodynamic analysis in neurosurgery implemented on a mobile augmented reality system,” the 34th Computer Assisted Radiology and Surgery (CARS) Congress, Munich, Germany, 2020.

2019

1. Y. Xiao, J.C. Lau, T. Anderson,J. DeKraker, D. Louis Collins, T.M. Peters, and A.R. Khan, “An accurate registration of the BigBrain dataset with the MNI PD25 and ICBM152 atlases,” Scientific Data, 2019. [download data: OSF, OpenNeuro]
2. R. Vassallo, A. Rankin, S. Lownie, H. Fukuda, H. Kasuya, B. Lo., T. Peters, Y. Xiao, "Determining blood flow direction from short neurovascular surgical microscopic videos," Healthcare Technology Letters, 2019. [Best paper prize at AE-CAI 2019]
3. Y. Xiao, Hassan Rivaz, Matthieu Chabanas, M. Fortin, I. Machado, Y. Ou, M.P. Heinrich, J.A. Schnabel, X. Zhong, A. Maier, W. Wein, R. Shams, S. Kadoury, D. Drobny, M. Modat, I. Reinertsen, “Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge,” IEEE Transactions on Medical Imaging, 2019.
4. A. Karlberg, E.M. Berntsen, H. Johansen, A. Skjulsvik, I. Reinertsen, H.Y. Dai, Y. Xiao, H. Rivaz, P. Borghammer, O Solheim, L. Eikenes, "18F-FACBC PET/MRI in Diagnostic Assessment and Neurosurgery of Gliomas," Clinical Nuclear Medicine, 44(7), 550-559, 2019.
5. W. Xia, M. Fortin, J. Ahn, H. Rivaz, M.C. Battie, T.M. Peters, and Y. Xiao, "Automatic paraspinal muscles segmentation in patients with lumbar pathology using deep convolutional neural network," the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.  [Early acceptance, top 13% of submissions]
6. Y. Xiao, M. Fortin, J. Ahn, H. Rivaz, M. Battié, T. Peters, "Statistical morphometric analysis of lumbar paraspinal muscles in patients with lumbar pathology," the 46th International Society for the Study of the Lumbar Spine Annual Meeting, Kyoto, Japan, 2019.
7. Y. Xiao, J.C. Lau, T. Peters, A.R. Khan, "Investigation of microstructural differences in the nigrosome-1 region of the substantia nigra between healthy and Parkinson's disease subjects at 7T," the 27th International Society for Magnetic Resonance in Medicine (ISMRM) 2019 annual meeting & exhibition, Montreal, Canada, 2019.
8. J.C. Lau, G. Gilmore, Y. Xiao, A.G. Parrent, J. Demarco, G. Gupta, P.J. Park, K. Ferko, T.M. Peters, and A.R. Khan, "Anatomical fiducials for quantifying template creation convergence: application to a 7T dataset," 2019 Organization of Human Brain Mapping (OHBM) Annual Meeting, Rome, Italy, 2019. 

2018

1. N. Masoumi, Y. Xiao and H. Rivaz, “Inter-modality affine registration using evolutionary strategy (ARENA),”International Journal of Computer-Assisted Radiology and Surgery, 14(3), 441-450, 2018.
2. R. Vassallo, H. Kasuya, B.W.Y. Lo, T. Peters, Y. Xiao, “Augmented-reality guidance in cerebral vascular surgery using microscopic video enhancement,” Healthcare Technology Letters, 5(5), 158-161, 2018. [Best paper prize at AE-CAI 2018]
3. Y. Xiao, M. Fortin, M. Battie, and H. Rivaz, “Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles,” European Spine Journal, 27(10), 2442-2448, 2018. [download data]
4. Y. Xiao, S. Drouin, I.J. Gerard, V. Fonov, B. Aubert-Broche, Y. Ma, M. Kersten-Oertel, D. Tampieri, and D. Louis Collins, "An augmented-reality system prototype for guiding transcranial Doppler ultrasound examination", Multimedia Tools and Applications, 77(21), 27789-27805, 2018.
5. Y. Xiao, M. Boily, H. Hashemi, and H. Rivaz, "High-dynamic-range ultrasound: application for imaging tendon pathology," Ultrasound in medicine and biology, 44(7), 1525-1532, 2018.
6. Y. Xiao, H. Rivaz, H. Kasuya, S. Yokosako, C. Mindru, J. Teitelbaum, D. Dirhan, D. Sinclair, M. Angle, and B. Lo, “Intra- operative video characterization of carotid artery pulsation patterns in case series with post-enderterectomy hypertension and hyperperfusion syndrome,” Translational Stroke Research, 9(5), 542-548, 2018.
7. Y. Xiao, L. Eikenes, I. Reinertsen, and H. Rivaz, “Nonlinear deformation of tractography in ultrasound-guided resection of low-grade gliomas,” International Journal of Computer-Assisted Radiology and Surgery, 13(3), 457-467, 2018.
8. R. Shams, Y. Xiao, F. Hebert, M. Abramowitz, R. Brooks and H. Rivaz, “Assessment of rigid registration quality measures in ultrasound-guided radiotherapy,” IEEE Transactions on Medical Imaging, 37(2), 428-437, 2018.
9. M. Fortin, Y. Xiao, M. Battie, and H. Rivaz, "Building unbiased population-averaged MRI atlases for image processing and assessment of lumbar paraspinal muscle morphometry," the 45th International Society for the Study of the Lumbar Spine Annual Meeting, Banff, Canada, 2018.

2017

1. A.M. Karlberg, E.M. Bernsten, H. Johansen, M. Myrthue, O. Solheim, I. Reinersten, H.Y. Dai, A. Skyjulsvik, A. Jarstein, Y. Xiao, H. Rivaz, and L. Eikenes, “Case study: Multimodal 18F-fluciclovine PET/MRI and ultrasound-guided neurosurgery of anaplastic oligodendroglioma,” World Neurosurgery, 108, 989e1-989.e8, 2017.
2. Y. Xiao, V. Fonov, S. Beriault, F.A. Subaie, M.M. Chakravarty, A.F. Sadikot, G. Bruce Pike, Gilles Betrand, and D. Louis Collins, “A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson's disease cohort,” Data in Brief, 12, 370-379, 2017.
3. Y. Xiao, M. Fortin, Geirmund Unsgård , Hassan Rivaz and Ingerid Reinertsen, “REtroSpective Evaluation of Cerebral Tumors (RESECT): a clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries,” Medical Physics, 44(7), 3875-3882, 2017. [download data]
4. M. Omidyeganeh, Y. Xiao, M.O. Ahmad, and H. Rivaz, “Estimation of strain elastography from ultrasound radio- frequency data by utilizing analytic gradient of the similarity metric,” IEEE Transactions on Medical Imaging, 36(6), 1347-1358, 2017.
5. N. Masoumi, Y. Xiao and H. Rivaz, "MARCEL (inter-Modality Affine Registration with CorrELation ratio): an application for brain shift correction in ultrasound-guided brain tumor resection,” MICCAI 2017 Brain Lesion (BrainLes) workshop, LNCS 10670, 55-63, 2017.
6. Y. Xiao, A. Alamer, V. Fonov, B. Lo, D. Tampieri, D. Louis Collins, H. Rivaz, and M. Kersten, “Towards automatic collateral circulation score evaluation in ischemic stroke using image decompositions and support vector machines,”Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, LNCS 10555, 158-167, 2017.
   
7. Y. Xiao, H. Rivaz, H. Hashemi, and M. Boily, “High-dynamic-range ultrasound for imaging tendon pathology,” the 103rd Radiological Society of North America (RSNA) Annual meeting, Chicago, USA, 2017. 
8. A.M. Karlberg, E.M. Bernsten, H. Johansen, M. Myrthue, A. Skyjulsvik, I. Reinersten, M. Esmaeili, H.Y. Dai, Y. Xiao, H. Rivaz, P. Borghammer, O. Solheim, and L. Eikenes, “F-fluciclovine PET/MRI in the evaluation of brain glioma," the 30th annual congress of European Association of Nuclear Medicine (EANM), Vienna, Austria, 2017.
9. Y. Xiao, D. De Nigris, I. Gerard, Y. Ma, D. Tampieri, D. Louis Collins, and H. Rivaz, “Automatic registration of individual MRI and transcranial ultrasound for the analysis of neurological disorders,”the 25th ISMRM annual meeting & exhibition,  Honolulu, Hawaii, 2017.

2016

1. Y. Xiao, C. X. B. Yan, S. Drouin, D. De Nigris, A. Kochanowska, and D. Louis Collins, "User-friendly freehand ultrasound calibration using Lego bricks and automatic registration,” International Journal of Computer-Assisted Radiology and Surgery, 11(9), 1703–1711, 2016.
   
2. Y.Xiao,I.J.Gerard,V.Fonov,D.DeNigris,C.Therrien,B.Aubert-Broche,S.Drouin,A.Kochanowska,D.Tampieri,and D. Louis Collins, "Atlas-guided transcranial Doppler ultrasound examination with a neuro-surgical navigation system: case study", the 4th MICCAI workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging (CLIP), LNCS 9401, 19-27, 2016.
   
3. V. Fonov, M. Dadar, Y. Xiao, D.L.,Collins, “MRI patch-based imaging biomarker for automatic detection of Parkinson’s disease,” Alzheimer’s Association International Conference (AAIC), Toronto, Canada, 2016.

2015

1. S.Beriault, Y. Xiao, D. Louis Collins, and G. Bruce Pike, “Automatic SWI venography segmentation using conditional random fields," IEEE Transactions on Medical Imaging, 34(12), 2478-2491, 2015.
2. Y. Xiao, V. Fonov, S. Beriault, I.J. Gerard, A.F. Sadikot, G. Bruce Pike, and D. Louis Collins, “Patch-based label fusion segmentation of brainstem structures with dual-contrast MRI,” International Journal of Computer-Assisted Radiology and Surgery, 10(7), 1029-1041, 2015.
3. Y. Xiao, V. Fonov, S. Beriault, F.A. Subaie, M.M. Chakravarty, A.F. Sadikot, G. Bruce Pike, and D. Louis Collins, “Multi-contrast unbiased MRI atlas of a Parkinson's disease population,” International Journal of Computer-Assisted Radiology and Surgery, 10(3), 329-341, 2015. [download data]
4. Y. Xiao, C. Yan, S. Drouin, D. De Nigris, A. Kochanowska, and D. Louis Collins, "Registration-based ultrasound calibration using simple Lego bricks for image-guided surgery", 29th International congress and exhibition of Computer-assisted Radiology and Surgery (CARS 2015), Barcelona, Spain, 2015.​