| 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 | 461 | 2015 |
| Generative openmax for multi-class open set classification ZY Ge, S Demyanov, Z Chen, R Garnavi arXiv preprint arXiv:1707.07418, 2017 | 457 | 2017 |
| Image super-resolution using progressive generative adversarial networks for medical image analysis D Mahapatra, B Bozorgtabar, R Garnavi Computerized Medical Imaging and Graphics 71, 30-39, 2019 | 264 | 2019 |
| Computer-aided diagnosis of melanoma using border-and wavelet-based texture analysis R Garnavi, M Aldeen, J Bailey IEEE transactions on information technology in biomedicine 16 (6), 1239-1252, 2012 | 220 | 2012 |
| Border detection in dermoscopy images using hybrid thresholding on optimized color channels R Garnavi, M Aldeen, ME Celebi, G Varigos, S Finch Computerized Medical Imaging and Graphics 35 (2), 105-115, 2011 | 204 | 2011 |
| A feature agnostic approach for glaucoma detection in OCT volumes S Maetschke, B Antony, H Ishikawa, G Wollstein, J Schuman, R Garnavi PloS one 14 (7), e0219126, 2019 | 191 | 2019 |
| Deformable medical image registration using generative adversarial networks D Mahapatra, B Antony, S Sedai, R Garnavi 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 182 | 2018 |
| Skin disease recognition using deep saliency features and multimodal learning of dermoscopy and clinical images Z Ge, S Demyanov, R Chakravorty, A Bowling, R Garnavi Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 136 | 2017 |
| Image super resolution using generative adversarial networks and local saliency maps for retinal image analysis D Mahapatra, B Bozorgtabar, S Hewavitharanage, R Garnavi Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 109 | 2017 |
| 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 | 101 | 2016 |
| Uncertainty guided semi-supervised segmentation of retinal layers in OCT images S Sedai, B Antony, R Rai, K Jones, H Ishikawa, J Schuman, W Gadi, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 100 | 2019 |
| Automatic segmentation of dermoscopy images using histogram thresholding on optimal color channels R Garnavi, M Aldeen, ME Celebi, A Bhuiyan, C Dolianitis, G Varigos International Journal of Medicine and Medical Sciences 1 (2), 126-134, 2010 | 98 | 2010 |
| Retinal optical coherence tomography image enhancement via deep learning KJ Halupka, BJ Antony, MH Lee, KA Lucy, RS Rai, H Ishikawa, ... Biomedical optics express 9 (12), 6205-6221, 2018 | 97 | 2018 |
| Semi-supervised segmentation of optic cup in retinal fundus images using variational autoencoder S Sedai, D Mahapatra, S Hewavitharanage, S Maetschke, R Garnavi Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 85 | 2017 |
| Retinal image quality classification using saliency maps and CNNs D Mahapatra, PK Roy, S Sedai, R Garnavi International Workshop on Machine Learning in Medical Imaging, 172-179, 2016 | 73 | 2016 |
| Chest X-rays Classification: A Multi-Label and Fine-Grained Problem Z Ge, D Mahapatra, S Sedai, R Garnavi, R Chakravorty https://arxiv.org/abs/1807.07247, 2018 | 68 | 2018 |
| 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 | 62 | 2017 |
| Segmentation of optic disc and optic cup in retinal fundus images using shape regression S Sedai, PK Roy, D Mahapatra, R Garnavi 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 62 | 2016 |
| Joint segmentation and uncertainty visualization of retinal layers in optical coherence tomography images using Bayesian deep learning S Sedai, B Antony, D Mahapatra, R Garnavi Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018 | 61 | 2018 |
| 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 | 59 | 2016 |
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