Rahil Garnavi  Rahil Garnavi photo         

contact information

Research Manager, Multimedia Analytics
IBM Research Australia, Level 22/60 City Rd, Southbank, VIC, Australia, 3006.
  

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Professional Associations

Professional Associations:  IEEE


2018

Psoriasis Image Representation using Patch-based Dictionary Learning for Erythema Severity Scoring
Yasmeen George, Mohammad Aldeen, Rahil Garnavi
Computerized Medical Imaging and Graphics, Elsevier, 2018


2017

Skin lesion segmentation using deep convolution networks guided by local unsupervised learning
B Bozorgtabar, S Sedai, P Kanti Roy, R Garnavi
IBM Journal of Research and Development 61(4), 6--1, IBM, 2017

Investigating deep side layers for skin lesion segmentation
Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi
Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, pp. 256--260

Multi-stage segmentation of the fovea in retinal fundus images using fully Convolutional Neural Networks
Suman Sedai, Ruwan Tennakoon, Pallab Roy, Khoa Cao, Rahil Garnavi
Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, pp. 1083--1086

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
Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, pp. 986--990

Generative OpenMax for Multi-Class Open Set Classification
ZongYuan Ge, Sergey Demyanov, Zetao Chen, Rahil Garnavi
arXiv preprint arXiv:1707.07418, 2017

Automatic psoriasis lesion segmentation in two-dimensional skin images using multiscale superpixel clustering
Yasmeen M George, Mohammad Aldeen, Rahil Garnavi
Journal of Medical Imaging 4(4), 044004, International Society for Optics and Photonics, 2017

A Pixel-Based Skin Segmentation in Psoriasis Images Using Committee of Machine Learning Classifiers
Yasmeen George, Mohammad Aldeen, Rahil Garnavi
Digital Image Computing: Techniques and Applications (DICTA), 2017 International Conference on, pp. 1--8

A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images
Pallab Roy, Ruwan Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi
Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, pp. 1078--1082

Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder
Suman Sedai, Dwarikanath Mahapatra, Sajini Hewavitharanage, Stefan Maetschke, Rahil Garnavi
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 75--82, 2017

Image super resolution using generative adversarial networks and local saliency maps for retinal image analysis
Dwarikanath Mahapatra, Behzad Bozorgtabar, Sajini Hewavitharanage, Rahil Garnavi
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 382--390, 2017

Skin disease recognition using deep saliency features and multimodal learning of dermoscopy and clinical images
Zongyuan Ge, Sergey Demyanov, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 250--258, 2017

Tree-loss function for training neural networks on weakly-labelled datasets
Sergey Demyanov, Rajib Chakravorty, Zongyuan Ge, SeyedBehzad Bozorgtabar, Michelle Pablo, Adrian Bowling, Rahil Garnavi
Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, pp. 287--291


2016

Dermatologist-like feature extraction from skin lesion for improved asymmetry classification in PH 2 database
Rajib Chakravorty, Sisi Liang, Mani Abedini, Rahil Garnavi
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, pp. 3855--3858

A CNN based neurobiology inspired approach for retinal image quality assessment
Dwarikanath Mahapatra, Pallab K Roy, Suman Sedai, Rahil Garnavi
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, pp. 1304--1307

Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer Learning and Anatomical Features
Pallab Kanti Roy, Rajib Chakravorty, Suman Sedai, Dwarikanath Mahapatra, Rahil Garnavi
Digital Image Computing: Techniques and Applications (DICTA), 2016 International Conference on, pp. 1--7

A deep bag-of-features model for the classification of melanomas in dermoscopy images
S Sabbaghi, Mohammad Aldeen, Rahil Garnavi
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, pp. 1369--1372

Pixel-based skin segmentation in psoriasis images
Yasmeen George, Mohammad Aldeen, Rahil Garnavi
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, pp. 1352--1356

Multi-scale classification based lesion segmentation for dermoscopic images
Mani Abedini, Noel Codella, Rajib Chakravorty, Rahil Garnavi, David Gutman, Brian Helba, John R Smith
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, pp. 1361--1364

Segmentation of optic disc and optic cup in retinal fundus images using coupled shape regression
Suman Sedai, Pallab Roy, Dwarikanath Mahapatra, Rahil Garnavi
University of Iowa, 2016

Retinal image quality classification using saliency maps and CNNs
Dwarikanath Mahapatra, Pallab K Roy, Suman Sedai, Rahil Garnavi
International Workshop on Machine Learning in Medical Imaging, pp. 172--179, 2016

Sparse coding based skin lesion segmentation using dynamic rule-based refinement
Behzad Bozorgtabar, Mani Abedini, Rahil Garnavi
International Workshop on Machine Learning in Medical Imaging, pp. 254--261, 2016

Image quality classification for DR screening using convolutional neural networks
Ruwan Tennakoon, Dwarikanath Mahapatra, Pallab Roy, Suman Sedai, Rahil Garnavi
University of Iowa, 2016

Segmentation of optic disc and optic cup in retinal fundus images using shape regression
Suman Sedai, Pallab K Roy, Dwarikanath Mahapatra, Rahil Garnavi
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, pp. 3260--3264

Classification of dermoscopy patterns using deep convolutional neural networks
Sergey Demyanov, Rajib Chakravorty, Mani Abedini, Alan Halpern, Rahil Garnavi
Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, pp. 364--368


2015

Automated colour identification in melanocytic lesions
S Sabbaghi, Mohammad Aldeen, Rahil Garnavi, George Varigos, C Doliantis, J Nicolopoulos
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, pp. 3021--3024

A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition.
Mani Abedini, Stefan von Cavallar, Rajib Chakravorty, Matthew Davis, Rahil Garnavi
MedInfo, pp. 691--695, 2015

Right ventricle landmark detection using multiscale HOG and random forest classifier
Suman Sedai, Pallab Kanti Roy, Rahil Garnavi
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, pp. 814--818

Multi-atlas label fusion using hybrid of discriminative and generative classifiers for segmentation of cardiac MR images
Suman Sedai, Rahil Garnavi, Pallab Roy, Xi Liang
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, pp. 2977--2980

Automatic segmentation of the left ventricle into 17 anatomical regions in cardiac MR imaging
Xi Liang, Rahil Garnavi, Simon Wail, Sisi Liang, Prasanth Prasanna
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, pp. 6531--6535

Segmentation of right ventricle in cardiac MR images using shape regression
Suman Sedai, Pallab Roy, Rahil Garnavi
International Workshop on Machine Learning in Medical Imaging, pp. 1--8, 2015

Skin hair removal for 2D psoriasis images
Yasmeen George, Mohammad Aldeen, Rahil Garnavi
Digital Image Computing: Techniques and Applications (DICTA), 2015 International Conference on, pp. 1--8

Accurate and scalable system for automatic detection of malignant melanoma
MANI Abedini, QIANG Chen, NOEL CF Codella, RAHIL Garnavi, X Sun
Dermoscopy Image Analysis, 293--343, Boca Raton, CRC Press, 2015

A generalized framework for medical image classification and recognition
Mani Abedini, Noel CF Codella, Jonathan H Connell, Rahil Garnavi, Michele Merler, Sharath Pankanti, John R Smith, T Syeda-Mahmood
IBM Journal of Research and Development 59(2/3), 1--1, IBM, 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
International Workshop on Machine Learning in Medical Imaging, pp. 118--126, 2015


2014

IBM Research Australia at LifeCLEF2014: Plant Identification Task.
Qiang Chen, Mani Abedini, Rahil Garnavi, Xi Liang
CLEF (Working Notes), pp. 693--704, 2014

Deep Belief Networks and Biomedical Text Categorisation
Antonio Jimeno Yepes, Andrew Mackinlay, Justin Bedo, Rahil Garnavi, Qiang Chen
ALTA, 2014
Abstract

Ibm research australia at lifeclef2014: Plant identification task
Qiang Chen, Mani Abedini, Rahil Garnavi, Xi Liang
Working notes of CLEF 2014 conference


2013

Engineering resilient information systems for emergency management
Christian Vecchiola, Hamideh Anjomshoa, Y Bernstein, Irina Dumitrescu, Rahil Garnavi, J\"urg von K\"anel, G Wightwick
IBM Journal of Research and Development 57(5), 2--1, IBM, 2013

IBM Research at ImageCLEF 2013 Medical Tasks
Mani Abedini, Liangliang Cao, Noel Codella, Jonathan H. Connell, Rahil Garnavi, Amir Geva, Michele Merler, Quoc-Bao Nguyen, Sharathchandra U. Pankanti, John R. Smith, Xingzhi Sun, and Asaf Tzadok
ImageCLEFmed Medical Image Retrieval Workshop at AMIA 2013

Engineering resilient information systems for emergency management
C Vecchiola, H Anjomshoa, Y Bernstein, I Dumitrescu, R Garnavi, J von Kanel, G Wightwick
IBM Journal of Research and Development 57(5), 2--1, IBM, 2013


2012



2011

Optimized Weighted Performance Index for Objective Evaluation of Border-Detection Methods in Dermoscopy Images
R Garnavi, M Aldeen
IEEE Transactions on Information Technology in BioMedicine, IEEE, 2011

Border detection in dermoscopy images using hybrid thresholding on optimized color channels
R Garnavi, M Aldeen, M E Celebi, G Varigos, S Finch
Computerized Medical Imaging and Graphics 35(2), 105--115, Elsevier, 2011


2010

Image based diagnostic aid system for interstitial lung diseases
A Tolouee, H A Moghaddam, M Forouzanfar, M Gity, R Garnavi
Expert Systems With Applications, Elsevier, 2010

Classification of Melanoma Lesions Using Wavelet-Based Texture Analysis
R Garnavi, M Aldeen, J Bailey
2010 International Conference on Digital Image Computing: Techniques and Applications, pp. 75--81

Global versus hybrid thresholding for border detection in dermoscopy images
R Garnavi, M Aldeen, S Finch, G Varigos
Image and Signal Processing, 531--540, Springer, 2010

Weighted performance index for objective evaluation of border detection methods in dermoscopy images
R Garnavi, M Aldeen, ME Celebi
Skin Research and Technology, Wiley Online Library, 2010


2009

Skin lesion segmentation using color channel optimization and clustering-based histogram thresholding
R Garnavi, M Aldeen, M E Celebi, A Bhuiyan, C Dolianitis, G Varigos
International Conference on Machine Vision, Image Processing, and Pattern Analysis (MVIPPA09), World Academy of Science, Engineering and Technology, pp. 549--557, 2009


2008

Texture Analysis in lung HRCT images
A Tolouee, H Abrishami-Moghaddam, R Garnavi, M Forouzanfar, M Giti
Digital Image Computing: Techniques and Applications, pp. 305--311, 2008


2005

A new segmentation method for lung HRCT images
R Garnavi, A Baraani-Dastjerdi, H A Moghaddam, M Giti, A A Rad
Digital Image Computing: Techniques and Applications, 2005, pp. 52--52


Year Unknown

Disaster Recovery and Resilient Computing
J Paraszczak, H Watanabe, P Williams, E Bartholomy, G Greenlee, M Sylvia, C Vecchiola, H Anjomshoa, Y Bernstein, I Dumitrescu, others
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