| Generative openmax for multi-class open set classification ZY Ge, S Demyanov, Z Chen, R Garnavi arXiv preprint arXiv:1707.07418, 2017 | 490 | 2017 |
| 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 | 147 | 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 | 104 | 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 | 63 | 2017 |
| Detection of deception in the mafia party game S Demyanov, J Bailey, K Ramamohanarao, C Leckie Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015 | 30 | 2015 |
| AIC and BIC based approaches for SVM parameter value estimation with RBF kernels S Demyanov, J Bailey, K Ramamohanarao, C Leckie Asian Conference on Machine Learning, 97-112, 2012 | 20 | 2012 |
| Regularization methods for neural networks and related models S Demyanov University of Melbourne, Department of Computing and Information Systems, 2015 | 17 | 2015 |
| 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 | 15 | 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 |
| Invariant backpropagation: how to train a transformation-invariant neural network S Demyanov, J Bailey, R Kotagiri, C Leckie arXiv preprint arXiv:1502.04434, 2015 | 13 | 2015 |
| Generative openmax for multi-class open set classification. arXiv 2017 Z Ge, S Demyanov, Z Chen, R Garnavi arXiv preprint arXiv:1707.07418, 0 | 12 | |
| 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 | 11 | 2019 |
| Tree-loss function for training neural networks on weakly-labelled datasets S Demyanov, R Chakravorty, Z Ge, SB Bozorgtabar, M Pablo, A Bowling, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 11 | 2017 |
| ConvNet S Demyanov URL: http://github. com/sdemyanov/ConvNet (visited on 04/22/2015), 2016 | 8 | 2016 |
| Deep feature generative adversarial neural networks S Demyanov, A Podkin, A Stoliar, V Velicodnii, F Zhdanov US Patent 11,120,526, 2021 | 5 | 2021 |
| Facial animation transfer S Demyanov, A Podkin, A Siarohin, A Stoliar, S Tulyakov US Patent 11,645,798, 2023 | 3 | 2023 |
| Generative adversarial network manipulated image effects S Demyanov, K Gudkov, A Stoliar, R Ushakov, F Zhdanov US Patent App. 17/318,658, 2022 | 3 | 2022 |
| Detection of outlier lesions based on extracted features from skin images M Abedini, A Bowling, R Chakravorty, S Demyanov, R Garnavi US Patent 10,586,330, 2020 | 3 | 2020 |
| Adversarial variational Bayes methods for Tweedie compound Poisson mixed models Y Yang, R Luo, Y Liu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 3 | 2019 |
| Deep feature generative adversarial neural networks S Demyanov, A Podkin, A Stoliar, V Velicodnii, F Zhdanov US Patent 11,657,479, 2023 | 2 | 2023 |
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