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Mani Abedini
Mani Abedini
Head of Data Science, AI and Analytics
Verified email at awrostamani.com - Homepage
Title
Cited by
Cited by
Year
Deep learning, sparse coding, and SVM for melanoma recognition in dermoscopy images
N Codella, J Cai, M Abedini, R Garnavi, A Halpern, JR Smith
International workshop on machine learning in medical imaging, 118-126, 2015
4532015
Classification of dermoscopy patterns using deep convolutional neural networks
S Demyanov, R Chakravorty, M Abedini, A Halpern, R Garnavi
2016 IEEE 13th International symposium on biomedical imaging (ISBI), 364-368, 2016
1012016
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging
Z Ge, S Demyanov, B Bozorgtabar, M Abedini, R Chakravorty, A Bowling, ...
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
622017
Sparse coding based skin lesion segmentation using dynamic rule-based refinement
B Bozorgtabar, M Abedini, R Garnavi
Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016
592016
Cloud-based infrastructure for feedback-driven training and image recognition
M Abedini, S Von Cavallar, R Chakravorty, MA Davis, R Garnavi
US Patent 9,760,990, 2017
502017
A generalized framework for medical image classification and recognition
M Abedini, NCF Codella, JH Connell, R Garnavi, M Merler, S Pankanti, ...
IBM Journal of Research and Development 59 (2/3), 1: 1-1: 18, 2015
432015
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies
B Goudey, M Abedini, JL Hopper, M Inouye, E Makalic, DF Schmidt, ...
Health information science and systems 3, 1-11, 2015
372015
10 Accurate and Scalable System for Automatic Detection of Malignant Melanoma
M Abedini, Q Chen, NCF Codella, R Garnavi, X Sun
Dermoscopy image analysis, 293, 2015
332015
Ibm research australia at lifeclef2014: Plant identification task.
Q Chen, M Abedini, R Garnavi, X Liang
CLEF (Working Notes), 693-704, 2014
322014
Classification of Pima Indian Diabetes Dataset using Ensemble of Decision Tree, Logistic Regression and Neural Network
M Abedini, A Bijari, T Banirostam
International Journal of Advanced Research in Computer and Communication …, 2020
282020
Annotation of skin image using learned feature representation
M Abedini, R Chakravorty, R Garnavi, M Hayat
US Patent 9,886,758, 2018
282018
Imaging segmentation using multi-scale machine learning approach
M Abedini, R Chakravorty, R Garnavi, M Hayat
US Patent 9,684,967, 2017
262017
CoXCS: a coevolutionary learning classifier based on feature space partitioning
M Abedini, M Kirley
Australasian Joint Conference on Artificial Intelligence, 360-369, 2009
262009
Dermatologist-like feature extraction from skin lesion for improved asymmetry classification in PH2 database
R Chakravorty, S Liang, M Abedini, R Garnavi
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
252016
Mobile device sending format translation based on message receiver's environment
M Abedini, F Lu, L Mehedy, S Pervin
US Patent 11,228,550, 2022
242022
Gene Expression Classification with a novel coevolutionary based learning classifier system on Public Clouds
C Vecchiola, M Abedini, M Kirley, X Chu, R Buyya
e-Science Workshops, 2010 Sixth IEEE International Conference on, 92-97, 2010
19*2010
Machine training and search engine for providing specialized cognitive healthcare apparatus
M Abedini, R Chakravorty, L Ghahremanlou, S Pervin, JM Wagner
US Patent 9,424,532, 2016
142016
Automated skin lesion segmentation using deep side layers
M Abedini, SB Bozorgtabar, R Chakravorty, S Demyanov, R Garnavi, Z Ge
US Patent 10,373,312, 2019
132019
Investigating deep side layers for skin lesion segmentation
B Bozorgtabar, Z Ge, R Chakravorty, M Abedini, S Demyanov, R Garnavi
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
132017
System and method for lesion analysis and recommendation of screening checkpoints for reduced risk of skin cancer
M Abedini, A Bowling, R Chakravorty, S Demyanov, R Garnavi
US Patent 10,282,843, 2019
112019
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