Mani Abedini

According to our database, Mani Abedini authored at least 18 papers between 2009 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging.

Zongyuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Investigating deep side layers for skin lesion segmentation.

Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement.

Behzad Bozorgtabar, Mani Abedini, Rahil Garnavi

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Classification of dermoscopy patterns using deep convolutional neural networks.

Sergey Demyanov, Rajib Chakravorty, Mani Abedini, Alan Halpern, Rahil Garnavi

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Dermatologist-like feature extraction from skin lesion for improved asymmetry classification in PH² database.

Rajib Chakravorty, Sisi Liang, Mani Abedini, Rahil Garnavi

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Multi-scale classification based lesion segmentation for dermoscopic images.

Mani Abedini, Noel C. F. Codella, Rajib Chakravorty, Rahil Garnavi, David A. Gutman, Brian Helba, John R. Smith

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

A generalized framework for medical image classification and recognition.

Mani Abedini, Noel C. F. Codella, Jonathan H. Connell, Rahil Garnavi, Michele Merler, Sharath Pankanti, John R. Smith, Tanveer F. Syeda-Mahmood

IBM J. Res. Dev., 2015

High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies.

Benjamin Goudey, Mani Abedini, John L. Hopper, Michael Inouye, Enes Makalic, Daniel F. Schmidt, John Wagner, Zeyu Zhou, Justin Zobel, Matthias Reumann

Health Inf. Sci. Syst., 2015

Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images.

Noel Codella, Junjie Cai, Mani Abedini, Rahil Garnavi, Alan Halpern, John R. Smith

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition.

Mani Abedini, Stefan von Cavallar, Rajib Chakravorty, Matthew Davis, Rahil Garnavi

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

IBM Research at Image CLEF 2015: Medical Clustering Task.

Suman Sedai, Xi Liang, Mani Abedini, Qiang Chen, Rajib Chakravorty, Rahil Garnavi

Proceedings of the Working Notes of CLEF 2015, 2015

2014

IBM Research Australia at LifeCLEF2014: Plant Identification Task.

Qiang Chen, Mani Abedini, Rahil Garnavi, Xi Liang

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

Towards high-dimensional classification using Michigan style generic based machine learning.

Mani Abedini

PhD thesis, 2013

An enhanced XCS rule discovery module using feature ranking.

Mani Abedini, Michael Kirley

Int. J. Mach. Learn. Cybern., 2013

GPU-accelerated eXtended Classifier System.

Mani Abedini, Michael Kirley, Raymond Chiong, Thomas Weise

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2011

Guided Rule Discovery in XCS for High-Dimensional Classification Problems.

Mani Abedini, Michael Kirley

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010

A multiple population XCS: Evolving condition-action rules based on feature space partitions.

Mani Abedini, Michael Kirley

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning.

Mani Abedini, Michael Kirley

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009