| 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 | 492 | 2015 |
| 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 | 108 | 2016 |
| 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 | 66 | 2017 |
| 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 | 63 | 2016 |
| 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 | 54 | 2017 |
| 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 | 45 | 2015 |
| 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 | 38 | 2020 |
| 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 | 38 | 2015 |
| 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 | 35 | 2015 |
| Ibm research australia at lifeclef2014: Plant identification task. Q Chen, M Abedini, R Garnavi, X Liang CLEF (Working Notes), 693-704, 2014 | 33 | 2014 |
| Annotation of skin image using learned feature representation M Abedini, R Chakravorty, R Garnavi, M Hayat US Patent 9,886,758, 2018 | 30 | 2018 |
| 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 | 27 | 2016 |
| Imaging segmentation using multi-scale machine learning approach M Abedini, R Chakravorty, R Garnavi, M Hayat US Patent 9,684,967, 2017 | 26 | 2017 |
| CoXCS: a coevolutionary learning classifier based on feature space partitioning M Abedini, M Kirley Australasian Joint Conference on Artificial Intelligence, 360-369, 2009 | 26 | 2009 |
| 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 | 25 | 2022 |
| 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 | 23 | 2016 |
| 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 |
| 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 | 16 | 2019 |
| 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 | 13 | 2017 |
| 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 | 12 | 2019 |
Rahil GarnaviProfessor, Director, RAIsE Hub, The Royal Melbourne Institute of Technology (RMIT)在 rmit.edu.au 的电子邮件经过验证