Hassan Rivaz

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Yiming XiaoAssistant Professor, Department of Computer Science and Software Engineering, Concordia UniversityVerified email at concordia.ca
Gregory HagerMandell Bellmore Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Maryse FortinAssistant Professor, Concordia UniversityVerified email at concordia.ca
Ivan Rosado MendezAssistant Professor - University of Wisconsin-MadisonVerified email at wisc.edu
Sobhan GoudarziData Scientist at Profound Medical Inc.Verified email at profoundmedical.com
Md AshikuzzamanPostdoctoral Fellow, Johns Hopkins UniversityVerified email at jh.edu
Ingerid ReinertsenSenior scientist and Research manager, SINTEF and Associate Professor, NTNUVerified email at sintef.no
Gabor FichtingerProfessor and Canada Research Chair in Computer-Integrated Surgery, Queen's University, CanadaVerified email at queensu.ca
D. Louis CollinsProfessor of Biomedical Engineering and Neurology & Neurosurgery, McGill UniversityVerified email at mcgill.ca
Timothy J HallProfessor of Medical Physics, University of WisconsinVerified email at wisc.edu
Habib BenaliConcordia UniversityVerified email at concordia.ca
Mostafa SharifzadehPh.D. Candidate in Electrical and Computer Engineering, Concordia UniversityVerified email at concordia.ca
Pezhman ForoughiPhD, Johns Hopkins UniversityVerified email at jhu.edu
Marta Kersten-OertelAssociate Professor, Concordia University Research Chair; Dept. Computer Science and SoftwareVerified email at ap-lab.ca
Donatella TampieriQueen's UniversityVerified email at queensu.ca
Clyde J. BelassoGraduate ResearcherVerified email at live.concordia.ca
Amir Aghdam, PhD, PEng, FIEEE, FEICProfessor of Electrical and Computer Engineering, Concordia UniversityVerified email at concordia.ca
Mumu AktarPostdoctoral Associate, Advanced Imaging and Artificial Intelligence Lab, University of CalgaryVerified email at ucalgary.ca
Adrian BasarabUniversité de Lyon, CREATIS, former affiliation: Université de Toulouse, IRITVerified email at creatis.insa-lyon.fr
Soorena SalariPh.D. Candidate, Concordia University, CanadaVerified email at concordia.ca

Hassan Rivaz

Associate Professor, Concordia University Research Chair

Verified email at encs.concordia.ca - Homepage

Deep learning Ultrasound imaging Multimodal learning Quantitative Ultrasound elastography


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Real-time regularized ultrasound elastography H Rivaz, E Boctor, M Choti, G Hager Medical Imaging, IEEE Transactions on, 1-1, 2011	225	2011
Ultrasound elastography: a dynamic programming approach H Rivaz, E Boctor, P Foroughi, R Zellars, G Fichtinger, G Hager IEEE transactions on medical imaging 27 (10), 1373-1377, 2008	213	2008
Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021	186	2021
Vision transformers for classification of breast ultrasound images B Gheflati, H Rivaz 2022 44th Annual International Conference of the IEEE Engineering in …, 2022	168	2022
Self-similarity weighted mutual information: a new nonrigid image registration metric H Rivaz, Z Karimaghaloo, DL Collins Medical image analysis 18 (2), 343-358, 2014	122	2014
Global time-delay estimation in ultrasound elastography HS Hashemi, H Rivaz IEEE transactions on ultrasonics, ferroelectrics, and frequency control 64 …, 2017	114	2017
RE troSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre‐operative MRI and intra‐operative ultrasound in low‐grade glioma surgeries Y Xiao, M Fortin, G Unsgård, H Rivaz, I Reinertsen Medical physics 44 (7), 3875-3882, 2017	106	2017
Automatic deformable MR-ultrasound registration for image-guided neurosurgery H Rivaz, SJS Chen, DL Collins IEEE transactions on medical imaging 34 (2), 366-380, 2015	106	2015
Fine-tuning U-Net for ultrasound image segmentation: different layers, different outcomes M Amiri, R Brooks, H Rivaz IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 …, 2020	103	2020
Two-stage ultrasound image segmentation using U-Net and test time augmentation M Amiri, R Brooks, B Behboodi, H Rivaz International journal of computer assisted radiology and surgery 15, 981-988, 2020	103	2020
Ablation Monitoring with Elastography: 2D In-vivo and 3D Ex-vivo Studies H Rivaz, I Fleming, L Assumpcao, G Fichtinger, U Hamper, M Choti, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008	83	2008
Evaluation of MRI to ultrasound registration methods for brain shift correction: the CuRIOUS2018 challenge Y Xiao, H Rivaz, M Chabanas, M Fortin, I Machado, Y Ou, MP Heinrich, ... IEEE transactions on medical imaging 39 (3), 777-786, 2020	81	2020
Displacement estimation in ultrasound elastography using pyramidal convolutional neural network AKZ Tehrani, H Rivaz IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020	80	2020
Deep learning for ultrasound image formation: CUBDL evaluation framework and open datasets D Hyun, A Wiacek, S Goudarzi, S Rothlübbers, A Asif, K Eickel, YC Eldar, ... IEEE transactions on ultrasonics, ferroelectrics, and frequency control 68 …, 2021	73	2021
Ultrasound elastography using multiple images H Rivaz, EM Boctor, MA Choti, GD Hager Medical image analysis 18 (2), 314-329, 2014	73	2014
Nonrigid registration of ultrasound and MRI using contextual conditioned mutual information H Rivaz, Z Karimaghaloo, VS Fonov, DL Collins IEEE transactions on medical imaging 33 (3), 708-725, 2014	67	2014
Intra-operative ultrasound elasticity imaging for monitoring of hepatic tumour thermal ablation MG Van Vledder, EM Boctor, LR Assumpcao, H Rivaz, P Foroughi, ... Hpb 12 (10), 717-723, 2010	62	2010
Gluenet: Ultrasound elastography using convolutional neural network MG Kibria, H Rivaz Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis …, 2018	61	2018
Low variance estimation of backscatter quantitative ultrasound parameters using dynamic programming Z Vajihi, IM Rosado-Mendez, TJ Hall, H Rivaz IEEE transactions on ultrasonics, ferroelectrics, and frequency control 65 …, 2018	53	2018
Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images M Fortin, M Omidyeganeh, MC Battié, O Ahmad, H Rivaz Biomedical engineering online 16, 1-12, 2017	52	2017

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