Mehrdad J. Gangeh
Mehrdad J. Gangeh
Senior AI Scientist, EY Global Technology Innovation
Verified email at - Homepage
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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
International conference on medical image computing and computer-assisted …, 2010
Kernelized Supervised Dictionary Learning
MJ Gangeh, A Ghodsi, MS Kamel
IEEE Trans. on Signal Processing 61 (19), 4753 - 4767, 2013
Supervised dictionary learning and sparse representation-a review
MJ Gangeh, AK Farahat, A Ghodsi, MS Kamel
arXiv preprint arXiv:1502.05928, 2015
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
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
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
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
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), 1-11, 2017
Dictionary learning in texture classification
MJ Gangeh, A Ghodsi, MS Kamel
International Conference Image Analysis and Recognition, 335-343, 2011
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
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
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
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
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
Random subspace method in text categorization
MJ Gangeh, MS Kamel, RPW Duin
2010 20th International Conference on Pattern Recognition, 2049-2052, 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
Multiple classifier systems in texton-based approach for the classification of CT images of lung
MJ Gangeh, L Sørensen, SB Shaker, MS Kamel, M De Bruijne
International MICCAI Workshop on Medical Computer Vision, 153-163, 2010
Tumour roi estimation in ultrasound images via radon barcodes in patients with locally advanced breast cancer
HR Tizhoosh, MJ Gangeh, H Tadayyon, GJ Czarnota
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1185-1189, 2016
Comparison of denoising techniques applied on low-field MR brain images
NF Ishak, MJ Gangeh, R Logeswaran
2008 Fifth International Conference on Computer Graphics, Imaging and …, 2008
Texture classification in pulmonary CT
L Sørensen, MJ Gangeh, SB Shaker, M de Bruijne
Lung Imaging and Computer Aided Diagnosis, 343-367, 2007
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