Hassan Rivaz

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

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Hassan Rivaz

Associate Professor, Concordia University Research Chair

Dirección de correo verificada de encs.concordia.ca - Página principal

Deep learning Ultrasound imaging Multimodal learning Quantitative Ultrasound elastography


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Real-time regularized ultrasound elastography H Rivaz, E Boctor, M Choti, G Hager Medical Imaging, IEEE Transactions on, 1-1, 2011	227	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	215	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	207	2021
Vision transformers for classification of breast ultrasound images B Gheflati, H Rivaz 2022 44th Annual International Conference of the IEEE Engineering in …, 2022	182	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	123	2014
Global time-delay estimation in ultrasound elastography HS Hashemi, H Rivaz IEEE transactions on ultrasonics, ferroelectrics, and frequency control 64 …, 2017	115	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	113	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	109	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	108	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	104	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	84	2020
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	83	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
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	81	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	68	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	65	2010
Gluenet: Ultrasound elastography using convolutional neural network MG Kibria, H Rivaz Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis …, 2018	64	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	55	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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