Mehrdad J. Gangeh

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Ali Sadeghi-NainiAssociate Professor, Department of Electrical Engineering and Computer Science, York UniversityVerified email at yorku.ca
William TranAssociate Professor, Radiation Oncology (University of Toronto)Verified email at sunnybrook.ca
Lakshmanan SannachiPostdoctral Research Fellow at Sunnybrook Health Sciences Centre, University of TorontoVerified email at sunnybrook.ca
Mohamed S. KamelProfessor of Electrical and Computer Engineering, University of WaterlooVerified email at uwaterloo.ca
Hadi TadayyonUniversity of TorontoVerified email at utoronto.ca
Ali GhodsiProfessor of Statistics and Computer Science, University of WaterlooVerified email at uwaterloo.ca
frances wrightDepartment of Surgery University of TorontoVerified email at sunnybrook.ca
Lauge SørensenFormerly Associated Professor at University of Copenhagen; Head of Development, Cerebriu A/SVerified email at diku.dk
Marleen de BruijneProfessor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of CopenhagenVerified email at diku.dk
Kathleen I. PritchardProfessor, Division of Medical Oncology, University of TorontoVerified email at sunnybrook.ca
Michael KoliosProfessor, Physics, Ryerson UniversityVerified email at ryerson.ca
Anne MartelMedical Biophysics, University of Toronto. Physical Sciences, Sunnybrook Research InstituteVerified email at utoronto.ca
Mohammad Peikari, PhDData and Predictive Modeling Scientist, University Health NetworkVerified email at uhnresearch.ca
Archya DasguptaRadiation Oncology, Neuro-oncology Disease Management Group, Tata Memorial Centre, HBNI, MumbaiVerified email at actrec.gov.in
Greg StaniszUniversity of TorontoVerified email at sri.utoronto.ca
Arjun SahgalRadiation Oncology, Sunnybrook Health Sciences CentreVerified email at sunnybrook.ca
C Brezden-MasleyAssociate Professor, University of TorontoVerified email at sinaihealth.ca
Ian PoonDepartment of Radiation Oncology, Sunnybrook Odette Cancer Center, University of TorontoVerified email at sunnybrook.ca
Fakhreddine (Fakhri) KarrayIEEE Fellow, Mohamed bin Zayed University of Artificial Intelligence, University of WaterlooVerified email at uwaterloo.ca
Marco LoogRadboud UniversityVerified email at ru.nl

Mehrdad J. Gangeh

Principal Imaging Scientist - II, Roche

Verified email at roche.com - Homepage

Deep Learning Computer Vision Medical Imaging AI Machine Learning


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A texton-based approach for the classification of lung parenchyma in CT images MJ Gangeh, L Sørensen, SB Shaker, MS Kamel, M De Bruijne, M Loog Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010	133	2010
Kernelized Supervised Dictionary Learning MJ Gangeh, A Ghodsi, MS Kamel IEEE Trans. on Signal Processing 61 (19), 4753 - 4767, 2013	79	2013
Triaging diagnostically relevant regions from pathology whole slides of breast cancer: A texture based approach M Peikari, MJ Gangeh, J Zubovits, G Clarke, AL Martel IEEE transactions on medical imaging 35 (1), 307-315, 2015	75	2015
Supervised dictionary learning and sparse representation-a review MJ Gangeh, AK Farahat, A Ghodsi, MS Kamel arXiv preprint arXiv:1502.05928, 2015	67	2015
Multiview supervised dictionary learning in speech emotion recognition MJ Gangeh, P Fewzee, A Ghodsi, MS Kamel, F Karray IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (6), 1056 …, 2014	58	2014
A priori prediction of neoadjuvant chemotherapy response and survival in breast cancer patients using quantitative ultrasound H Tadayyon, L Sannachi, MJ Gangeh, C Kim, S Ghandi, M Trudeau, ... Scientific reports 7 (1), 45733, 2017	47	2017
Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach H Tadayyon, L Sannachi, M Gangeh, A Sadeghi-Naini, W Tran, ... Oncotarget 7 (29), 45094, 2016	47	2016
Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: results from multi‐institutional study D DiCenzo, K Quiaoit, K Fatima, D Bhardwaj, L Sannachi, M Gangeh, ... Cancer medicine 9 (16), 5798-5806, 2020	41	2020
Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features L Sannachi, M Gangeh, H Tadayyon, A Sadeghi-Naini, S Gandhi, ... PloS one 13 (1), e0189634, 2018	38	2018
Fast and scalable feature selection for gene expression data using hilbert-schmidt independence criterion MJ Gangeh, H Zarkoob, A Ghodsi IEEE/ACM transactions on computational biology and bioinformatics 14 (1 …, 2017	37	2017
Computer aided theragnosis using quantitative ultrasound spectroscopy and maximum mean discrepancy in locally advanced breast cancer MJ Gangeh, H Tadayyon, L Sannachi, A Sadeghi-Naini, WT Tran, ... IEEE transactions on medical imaging 35 (3), 778-790, 2015	37	2015
Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study results K Quiaoit, D DiCenzo, K Fatima, D Bhardwaj, L Sannachi, M Gangeh, ... PLoS One 15 (7), e0236182, 2020	36	2020
Tumour vascular shutdown and cell death following ultrasound-microbubble enhanced radiation therapy A El Kaffas, MJ Gangeh, G Farhat, WT Tran, A Hashim, A Giles, ... Theranostics 8 (2), 314, 2018	32	2018
Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis WT Tran, MJ Gangeh, L Sannachi, L Chin, E Watkins, SG Bruni, ... British journal of cancer 116 (10), 1329-1339, 2017	30	2017
Breast cancer treatment response monitoring using quantitative ultrasound and texture analysis: comparative analysis of analytical models L Sannachi, M Gangeh, H Tadayyon, S Gandhi, FC Wright, E Slodkowska, ... Translational oncology 12 (10), 1271-1281, 2019	27	2019
Dictionary learning in texture classification MJ Gangeh, A Ghodsi, MS Kamel Image Analysis and Recognition: 8th International Conference, ICIAR 2011 …, 2011	26	2011
Categorizing extent of tumor cell death response to cancer therapy using quantitative ultrasound spectroscopy and maximum mean discrepancy MJ Gangeh, A Sadeghi-Naini, M Diu, H Tadayyon, MS Kamel, ... IEEE Transactions on Medical Imaging 33 (6), 1390-1400, 2014	25	2014
Assessment of cancer therapy effects using texton-based characterization of quantitative ultrasound parametric images MJ Gangeh, A Sadeghi-Naini, MS Kamel, GJ Czarnota 2013 IEEE 10th International Symposium on Biomedical Imaging, 1372-1375, 2013	24	2013
Random subspace method in text categorization MJ Gangeh, MS Kamel, RPW Duin 2010 20th International Conference on Pattern Recognition, 2049-2052, 2010	23	2010
Quantitative evaluation of cell death response in vitro and in vivo using conventional-frequency ultrasound A Sadeghi-Naini, S Zhou, MJ Gangeh, Z Jahedmotlagh, O Falou, ... Oncoscience 2 (8), 716, 2015	20	2015

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