Mehdi Moradi

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Citations	4993	3544
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Purang AbolmaesumiDepartment of Electrical and Computer Engineering, University of British Columbia, V6T 1Z4Verified email at ece.ubc.ca
S.E. (Tim) SalcudeanC.A. Laszlo Chair, Electrical and Computer Engineering, School of Biomedical Engineering,UBCVerified email at ece.ubc.ca
Yaniv GurResearch Staff Member, IBM Almaden Research Center, San Jose, CAVerified email at us.ibm.com
Hongzhi WangIBM Almaden Research CenterVerified email at mail.med.upenn.edu
S. Sara MahdaviGoogle DeepMindVerified email at google.com
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechVerified email at emory.edu
Piotr KozlowskiUniversity of British ColumbiaVerified email at ubc.ca
Nishant UniyalData ScientistVerified email at ece.ubc.ca
Robert RohlingElectrical and Computer Engineering, University of British Columbia, V6T 1Z4Verified email at ece.ubc.ca
Michael D FeldmanIndiana UniversityVerified email at iu.edu
Seyed Kamaledin SetarehdanProfessor of School of Electrical and Computer Engineering, College of Engineering, University ofVerified email at ut.ac.ir
Amir TahmasebiBDVerified email at bd.com
Noel CodellaPrincipal Researcher @ MicrosoftVerified email at microsoft.com
Ian S. HagemannAssociate Professor, Dept. of Pathology and Immunology, Washington University in St. LouisVerified email at wustl.edu
William M. Wells III (Sandy)Harvard Medical School, M.I.T.Verified email at bwh.harvard.edu
Clare TempanyBrigham & Women's Hsp/Harvard Medical schoolVerified email at bwh.harvard.edu
Ladan Fazli MDUniversity of British Columbia - Vancouver Prostate CancerVerified email at prostatecentre.com
Andrey FedorovRadiology, Brigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
Tina KapurBrigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
Troy AdebarPhD Candidate in Mechanical Engineering, Stanford UniversityVerified email at stanford.edu

Mehdi Moradi

McMaster University

Verified email at mcmaster.ca - Homepage

Machine learning Data Science ML for Health


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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS … MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ... Springer, 2017	761	2017
A neural network based system for intrusion detection and classification of attacks M Moradi, M Zulkernine 2004 IEEE International Conference on Advances in Intelligent Systems …, 2004	323	2004
3D segmentation with exponential logarithmic loss for highly unbalanced object sizes KCL Wong, M Moradi, H Tang, T Syeda-Mahmood Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	251	2018
Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation A Madani, M Moradi, A Karargyris, T Syeda-Mahmood 2018 IEEE 15th International symposium on biomedical imaging (ISBI 2018 …, 2018	220	2018
Chest x-ray generation and data augmentation for cardiovascular abnormality classification A Madani, M Moradi, A Karargyris, T Syeda-Mahmood Medical imaging 2018: Image processing 10574, 415-420, 2018	219	2018
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models JP Monaco, JE Tomaszewski, MD Feldman, I Hagemann, M Moradi, ... Medical image analysis 14 (4), 617-629, 2010	167	2010
Comparison of chest radiograph interpretations by artificial intelligence algorithm vs radiology residents JT Wu, KCL Wong, Y Gur, N Ansari, A Karargyris, A Sharma, M Morris, ... JAMA network open 3 (10), e2022779-e2022779, 2020	128	2020
New features for automatic classification of human chromosomes: A feasibility study M Moradi, SK Setarehdan Pattern recognition letters 27 (1), 19-28, 2006	113	2006
Augmenting detection of prostate cancer in transrectal ultrasound images using SVM and RF time series M Moradi, P Abolmaesumi, DR Siemens, EE Sauerbrei, AH Boag, ... IEEE Transactions on Biomedical Engineering 56 (9), 2214-2224, 2008	106	2008
Ultrasound RF time series for classification of breast lesions. N Uniyal, H Eskandari, P Abolmaesumi, S Sojoudi, P Gordon, L Warren, ... IEEE Trans Med Imaging 34 (2), 652-61, 2015	102	2015
Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development A Karargyris, S Kashyap, I Lourentzou, JT Wu, A Sharma, M Tong, ... Scientific data 8 (1), 92, 2021	92	2021
Fracture detection in x-ray images through stacked random forests feature fusion Y Cao, H Wang, M Moradi, P Prasanna, TF Syeda-Mahmood 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 801-805, 2015	90	2015
Computer-aided diagnosis of prostate cancer with emphasis on ultrasound-based approaches: A review M Moradi, P Mousavi, P Abolmaesumi Ultrasound in Medicine & Biology 33 (7), 1010-1028, 2007	85	2007
Building medical image classifiers with very limited data using segmentation networks KCL Wong, T Syeda-Mahmood, M Moradi Medical image analysis 49, 105-116, 2018	83	2018
Generative adversarial network medical image generation for training of a classifier A Madani, M Moradi, TF Syeda-Mahmood US Patent 10,592,779, 2020	82	2020
Multiparametric MRI maps for detection and grading of dominant prostate tumors M Moradi, SE Salcudean, SD Chang, EC Jones, N Buchan, RG Casey, ... Journal of Magnetic Resonance Imaging 35 (6), 1403–1413, 2012	73	2012
Tissue typing using ultrasound RF time series: experiments with animal tissue samples M Moradi, P Abolmaesumi, P Mousavi Medical physics 37 (8), 4401-4413, 2010	62	2010
A deep community based approach for large scale content based X-ray image retrieval NF Haq, M Moradi, ZJ Wang Medical Image Analysis 68, 101847, 2021	57	2021
Chest ImaGenome Dataset for Clinical Reasoning JT Wu, NN Agu, I Lourentzou, A Sharma, JA Paguio, JS Yao, EC Dee, ... NeurIPS 2021 Datasets and Benchmarks Track, 2021	56	2021
Chest X-ray Report Generation through Fine-Grained Label Learning T Syeda-Mahmood, KCL Wong, Y Gur, JT Wu, A Jadhav, S Kashyap, ... arXiv preprint arXiv:2007.13831 [To appear in MICCAI 2020], 2020	56	2020

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