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2020 – today
- 2021
[c42]Yasmeen M. George
, Suman Sedai, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
Dueling Deep Q-Network For Unsupervised Inter-Frame Eye Movement Correction In Optical Coherence Tomography Volumes. ISBI 2021: 1595-1599- [i11]Tinu Theckel Joy, Suman Sedai, Rahil Garnavi:
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images. CoRR abs/2101.08888 (2021) - [i10]Suman Sedai, Bhavna Josephine Antony, Ravneet Rai, Katie Jones, Hiroshi Ishikawa, Joel S. Schuman, Gadi Wollstein, Rahil Garnavi:
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images. CoRR abs/2103.02083 (2021) - 2020
- [j12]Yasmeen M. George, Mohammad Aldeen, Rahil Garnavi:
Automatic Scale Severity Assessment Method in Psoriasis Skin Images Using Local Descriptors. IEEE J. Biomed. Health Informatics 24(2): 577-585 (2020) - [j11]Yasmeen M. George, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images. IEEE J. Biomed. Health Informatics 24(12): 3421-3430 (2020) - [i9]Yasmeen M. George, Suman Sedai, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes. CoRR abs/2007.01522 (2020)
2010 – 2019
- 2019
- [j10]Dwarikanath Mahapatra, Behzad Bozorgtabar, Rahil Garnavi:
Image super-resolution using progressive generative adversarial networks for medical image analysis. Comput. Medical Imaging Graph. 71: 30-39 (2019) - [j9]Sahar Sabbaghi Mahmouei, Mohammad Aldeen, William V. Stoecker, Rahil Garnavi:
Biologically Inspired QuadTree Color Detection in Dermoscopy Images of Melanoma. IEEE J. Biomed. Health Informatics 23(2): 570-577 (2019) - [c41]Yasmeen M. George, Mohammad Aldeen, Rahil Garnavi:
Automatic Nipple Detection Method for Digital Skin Images with Psoriasis Lesions. DICTA 2019: 1-8 - [c40]Yasmeen M. George, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
3D-CNN for Glaucoma Detection Using Optical Coherence Tomography. OMIA@MICCAI 2019: 52-59 - [c39]Suman Sedai, Bhavna Josephine Antony, Ravneet Rai, Katie Jones, Hiroshi Ishikawa, Joel S. Schuman, Gadi Wollstein, Rahil Garnavi:
Uncertainty Guided Semi-supervised Segmentation of Retinal Layers in OCT Images. MICCAI (1) 2019: 282-290 - [c38]Kerry Halupka, Rahil Garnavi, Stephen Moore:
Deep Semantic Instance Segmentation of Tree-Like Structures Using Synthetic Data. WACV 2019: 1713-1722 - [i8]Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
Inference of visual field test performance from OCT volumes using deep learning. CoRR abs/1908.01428 (2019) - 2018
- [j8]Yasmeen M. George, Mohammad Aldeen, Rahil Garnavi:
Psoriasis image representation using patch-based dictionary learning for erythema severity scoring. Comput. Medical Imaging Graph. 66: 44-55 (2018) - [c37]Dwarikanath Mahapatra, Bhavna Josephine Antony, Suman Sedai, Rahil Garnavi:
Deformable medical image registration using generative adversarial networks. ISBI 2018: 1449-1453 - [c36]Suman Sedai, Bhavna Josephine Antony, Dwarikanath Mahapatra, Rahil Garnavi:
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning. COMPAY/OMIA@MICCAI 2018: 219-227 - [c35]Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi:
Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images. MLMI@MICCAI 2018: 267-275 - [i7]Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi:
Elastic Registration of Medical Images With GANs. CoRR abs/1805.02369 (2018) - [i6]Zongyuan Ge, Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi, Rajib Chakravorty:
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem. CoRR abs/1807.07247 (2018) - [i5]Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi:
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images. CoRR abs/1808.08280 (2018) - [i4]Suman Sedai, Bhavna Josephine Antony, Dwarikanath Mahapatra, Rahil Garnavi:
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning. CoRR abs/1809.04282 (2018) - [i3]Kerry Halupka, Rahil Garnavi, Stephen Moore:
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data. CoRR abs/1811.03208 (2018) - 2017
- [j7]Behzad Bozorgtabar, Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
Skin lesion segmentation using deep convolution networks guided by local unsupervised learning. IBM J. Res. Dev. 61(4-5): 6:1-6:8 (2017) - [c34]Zongyuan Ge, Sergey Demyanov, Rahil Garnavi:
Generative OpenMax for Multi-Class Open Set Classification. BMVC 2017 - [c33]Yasmeen M. George, Mohammad Aldeen, Rahil Garnavi:
A Pixel-Based Skin Segmentation in Psoriasis Images Using Committee of Machine Learning Classifiers. DICTA 2017: 1-8 - [c32]Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi:
Investigating deep side layers for skin lesion segmentation. ISBI 2017: 256-260 - [c31]Sergey Demyanov, Rajib Chakravorty, Zongyuan Ge, SeyedBehzad Bozorgtabar, Michelle Pablo, Adrian Bowling, Rahil Garnavi:
Tree-loss function for training neural networks on weakly-labelled datasets. ISBI 2017: 287-291 - [c30]Zongyuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi:
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. ISBI 2017: 986-990 - [c29]Pallab Kanti Roy, Ruwan B. Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi:
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images. ISBI 2017: 1078-1082 - [c28]Suman Sedai, Ruwan B. Tennakoon, Pallab Kanti Roy, Khoa Cao, Rahil Garnavi:
Multi-stage segmentation of the fovea in retinal fundus images using fully Convolutional Neural Networks. ISBI 2017: 1083-1086 - [c27]Suman Sedai, Dwarikanath Mahapatra, Sajini Hewavitharanage, Stefan Maetschke, Rahil Garnavi:
Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder. MICCAI (2) 2017: 75-82 - [c26]Zongyuan Ge, Sergey Demyanov, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi:
Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images. MICCAI (3) 2017: 250-258 - [c25]Dwarikanath Mahapatra, Behzad Bozorgtabar, Sajini Hewavitharanage, Rahil Garnavi:
Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis. MICCAI (3) 2017: 382-390 - [i2]ZongYuan Ge, Sergey Demyanov, Zetao Chen, Rahil Garnavi:
Generative OpenMax for Multi-Class Open Set Classification. CoRR abs/1707.07418 (2017) - [i1]Stefan Maetschke, Ruwan Bandara Tennakoon, Christian Vecchiola, Rahil Garnavi:
nuts-flow/ml: data pre-processing for deep learning. CoRR abs/1708.06046 (2017) - 2016
- [c24]Pallab Kanti Roy, Rajib Chakravorty, Suman Sedai, Dwarikanath Mahapatra, Rahil Garnavi:
Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer Learning and Anatomical Features. DICTA 2016: 1-7 - [c23]Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi:
A CNN based neurobiology inspired approach for retinal image quality assessment. EMBC 2016: 1304-1307 - [c22]Yasmeen M. George, Mohammad Aldeen, Rahil Garnavi:
Pixel-based skin segmentation in psoriasis images. EMBC 2016: 1352-1356 - [c21]Mani Abedini, Noel C. F. Codella, Rajib Chakravorty, Rahil Garnavi, David A. Gutman, Brian Helba, John R. Smith:
Multi-scale classification based lesion segmentation for dermoscopic images. EMBC 2016: 1361-1364 - [c20]Saher Sabbaghi, Mohammad Aldeen, Rahil Garnavi:
A deep bag-of-features model for the classification of melanomas in dermoscopy images. EMBC 2016: 1369-1372 - [c19]Suman Sedai, Pallab Kanti Roy, Dwarikanath Mahapatra, Rahil Garnavi:
Segmentation of optic disc and optic cup in retinal fundus images using shape regression. EMBC 2016: 3260-3264 - [c18]Rajib Chakravorty, Sisi Liang, Mani Abedini, Rahil Garnavi:
Dermatologist-like feature extraction from skin lesion for improved asymmetry classification in PH2 database. EMBC 2016: 3855-3858 - [c17]Sergey Demyanov, Rajib Chakravorty, Mani Abedini, Alan Halpern, Rahil Garnavi:
Classification of dermoscopy patterns using deep convolutional neural networks. ISBI 2016: 364-368 - [c16]Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi:
Retinal Image Quality Classification Using Saliency Maps and CNNs. MLMI@MICCAI 2016: 172-179 - [c15]Behzad Bozorgtabar, Mani Abedini, Rahil Garnavi:
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement. MLMI@MICCAI 2016: 254-261 - 2015
- [j6]Mani Abedini, Noel C. F. Codella, Jonathan H. Connell, Rahil Garnavi, Michele Merler, Sharath Pankanti, John R. Smith, Tanveer F. Syeda-Mahmood:
A generalized framework for medical image classification and recognition. IBM J. Res. Dev. 59(2/3) (2015) - [c14]Suman Sedai, Xi Liang, Mani Abedini, Qiang Chen, Rajib Chakravorty, Rahil Garnavi:
IBM Research at Image CLEF 2015: Medical Clustering Task. CLEF (Working Notes) 2015 - [c13]Yasmeen M. George, Mohammad Aldeen, Rahil Garnavi:
Skin Hair Removal for 2D Psoriasis Images. DICTA 2015: 1-8 - [c12]Suman Sedai, Rahil Garnavi, Pallab Kanti Roy, Xi Liang:
Multi-atlas label fusion using hybrid of discriminative and generative classifiers for segmentation of cardiac MR images. EMBC 2015: 2977-2980 - [c11]Sahar Sabbaghi, Mohammad Aldeen, Rahil Garnavi, George Varigos, Constantinos Doliantis, Jenny Nicolopoulos:
Automated colour identification in melanocytic lesions. EMBC 2015: 3021-3024 - [c10]Xi Liang, Rahil Garnavi, Simon Wail, Sisi Liang, Prasanth Prasanna:
Automatic segmentation of the left ventricle into 17 anatomical regions in cardiac MR imaging. EMBC 2015: 6531-6535 - [c9]Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
Right ventricle landmark detection using multiscale HOG and random forest classifier. ISBI 2015: 814-818 - [c8]Mani Abedini, Stefan von Cavallar, Rajib Chakravorty, Matthew Davis, Rahil Garnavi:
A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition. MedInfo 2015: 691-695 - [c7]Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression. MLMI 2015: 1-8 - [c6]Noel Codella, Junjie Cai, Mani Abedini, Rahil Garnavi, Alan Halpern, John R. Smith:
Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images. MLMI 2015: 118-126 - 2014
- [c5]Qiang Chen, Mani Abedini, Rahil Garnavi, Xi Liang:
IBM Research Australia at LifeCLEF2014: Plant Identification Task. CLEF (Working Notes) 2014: 693-704 - 2013
- [j5]Christian Vecchiola, Hamideh Anjomshoa, Y. Bernstein, Irina Dumitrescu, Rahil Garnavi, Jürg von Känel, Glenn R. Wightwick:
Engineering resilient information systems for emergency management. IBM J. Res. Dev. 57(5) (2013) - 2012
- [j4]Rahil Garnavi, Mohammad Aldeen, James Bailey:
Computer-Aided Diagnosis of Melanoma Using Border- and Wavelet-Based Texture Analysis. IEEE Trans. Inf. Technol. Biomed. 16(6): 1239-1252 (2012) - 2011
- [b1]Rahil Garnavi:
Computer-aided diagnosis of melanoma. University of Melbourne, Australia, 2011 - [j3]Rahil Garnavi, Mohammad Aldeen, M. Emre Celebi, George Varigos, Sue Finch:
Border detection in dermoscopy images using hybrid thresholding on optimized color channels. Comput. Medical Imaging Graph. 35(2): 105-115 (2011) - [j2]Azar Tolouee, Hamid Abrishami Moghaddam, Mohamad Forouzanfar, Masoumeh Gity, Rahil Garnavi:
Image based diagnostic aid system for interstitial lung diseases. Expert Syst. Appl. 38(6): 7755-7765 (2011) - [j1]Rahil Garnavi, Mohammad Aldeen:
Optimized Weighted Performance Index for Objective Evaluation of Border-Detection Methods in Dermoscopy Images. IEEE Trans. Inf. Technol. Biomed. 15(6): 908-917 (2011) - 2010
- [c4]Rahil Garnavi, Mohammad Aldeen, James Bailey:
Classification of Melanoma Lesions Using Wavelet-Based Texture Analysis. DICTA 2010: 75-81 - [c3]Rahil Garnavi, Mohammad Aldeen, Sue Finch, George Varigos:
Global versus Hybrid Thresholding for Border Detection in Dermoscopy Images. ICISP 2010: 531-540
2000 – 2009
- 2008
- [c2]Azar Tolouee, Hamid Abrishami Moghaddam, Rahil Garnavi, Mohamad Forouzanfar, Masoomeh Giti:
Texture Analysis in Lung HRCT Images. DICTA 2008: 305-311 - 2005
- [c1]Rahil Garnavi, Ahmad Baraani-Dastjerdi, Hamid Abrishami Moghaddam, Masoomeh Giti, Ali Ajdari Rad:
A New Segmentation Method for Lung HRCT Images. DICTA 2005: 52
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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