Sergey Demyanov
Sergey Demyanov
Snap Inc.
Verified email at snapchat.com - Homepage
Title
Cited by
Cited by
Year
Generative openmax for multi-class open set classification
ZY Ge, S Demyanov, Z Chen, R Garnavi
arXiv preprint arXiv:1707.07418, 2017
1222017
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
International Conference on Medical Image Computing and Computer-Assisted …, 2017
572017
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
562016
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
362017
Medical Image Computing and Computer-Assisted Intervention—MICCAI 2017
Z Ge, S Demyanov, R Chakravorty, A Bowling, R Garnavi, M Descoteaux, ...
Springer International Publishing,, 2017
182017
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
162012
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
132015
Invariant backpropagation: how to train a transformation-invariant neural network
S Demyanov, J Bailey, R Kotagiri, C Leckie
arXiv preprint arXiv:1502.04434, 2015
112015
Regularization methods for neural networks and related models
S Demyanov
112015
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
92019
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
72017
Taktika hirurgicheskogo lecheniya bolnyih ostryim mediastinitom [Surgical treatment of patients with acute mediastinitis]
SV Dobrokvashin, RR Mustafin, AG Hakimov, DV Bolshakov, ...
Vestnik sovremennoy klinicheskoy meditsinyi [The Bulletin of Contemporary …, 2014
72014
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
62019
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
62017
ConvNet
S Demyanov
URL: http://github. com/sdemyanov/ConvNet (visited on 04/22/2015), 0
5
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
22020
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
22019
Shares as Money
S Demyanov
Available at SSRN, 2021
2021
Detection of outlier lesions based on extracted features from skin images
M Abedini, A Bowling, R Chakravorty, S Demyanov, R Garnavi
US Patent 10,242,442, 2019
2019
The way of the single-step surgical treatment of the pyogenic-fistulous forms of the epithelial-coccygeal path
KA Koreyba, IV Tresurokov, SL Demyanov
Journal of Experimental and Clinical Surgery 4 (1), 170-172, 2011
2011
The system can't perform the operation now. Try again later.
Articles 1–20