Follow
Natalia Khanzhina
Natalia Khanzhina
ITMO University, computer technologies department, machine learning laboratory
Verified email at itmo.ru
Title
Cited by
Cited by
Year
Pollen grain recognition using convolutional neural network.
N Khanzhina, E Putin, A Filchenkov, E Zamyatina
ESANN, 2018
192018
Pollen recognition for allergy and asthma management using gist features
N Khanzhina, E Putin
International Conference on Digital Transformation and Global Society, 515-525, 2016
52016
Использование классических методов и нейронных сетей для распознавания пыльцевых зерен
НЕ Ханжина, ЕБ Замятина
Вестник Пермского университета. Серия: Математика. Механика. Информатика …, 2014
22014
Автоматизированное распознавание пыльцевых зерен с использованием нейронных сетей Хэмминга
НЕ Ханжина, ЕБ Замятина
Методы компьютерной диагностики в биологии и медицине: матер. Всерос. школы …, 2014
22014
Combating data incompetence in pollen images detection and classification for pollinosis prevention
N Khanzhina, A Filchenkov, N Minaeva, L Novoselova, M Petukhov, ...
Computers in biology and medicine 140, 105064, 2022
12022
Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation
N Khanzhina, M Kashirin, A Filchenkov
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021
12021
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling
N Khanzhina, A Lapenok, A Filchenkov
arXiv preprint arXiv:2108.00784, 2021
12021
Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks
A Semiletov, A Vatian, M Krychkov, N Khanzhina, A Klochkov, ...
International Conference on Computational Science, 593-608, 2021
12021
Regularization of Autoencoders for Bank Client Profiling Based on Financial Transactions
A Filchenkov, N Khanzhina, A Tsai, I Smetannikov
Risks 9 (3), 54, 2021
12021
CT images GAN-based augmentation with AdaIN for lung nodules detection
M Kryuchkov, N Khanzhina, I Osmakov, P Ulyanov
Thirteenth International Conference on Machine Vision 11605, 1160526, 2021
12021
Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks
D Krylov, S Poliakov, N Khanzhina, A Zabashta, A Filchenkov, A Farseev
Multimedia Understanding with Less Labeling on Multimedia Understanding with …, 2021
2021
On realistic generation of new format license plate on vehicle images
A Maltsev, R Lebedev, N Khanzhina
Procedia Computer Science 193, 190-199, 2021
2021
Regularization of Autoencoders for Bank Client Profiling Based on Financial Transactions. Risks 9: 54
A Filchenkov, N Khanzhina, A Tsai, I Smetannikov
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021
2021
Synthetic images generation for text detection and recognition in the wild
N Khanzhina, N Slepkova, A Filchenkov
Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 1143312, 2020
2020
Pollen-grains recognition using classical methods and neural networks.
NE Khanzhina, EB Zamyatina
Bulletin of Perm University. Mathematics. Mechanics. Computer Science …, 2014
2014
ИСПОЛЬЗОВАНИЕ НЕЙРОННЫХ СЕТЕЙ ДЛЯ РАСПОЗНАВАНИЯ ПЫЛЬЦЕВЫХ ЗЕРЕН
НЕ Ханжина, ЕБ Замятина
Вестник молодых учёных ПГНИУ, 314-322, 2014
2014
DropFilter for Uncertainty Estimation in Brain Tumor Segmentation
N Khanzhina, M Kashirin, A Filchenkov, I Osmakov, P Ulyanov
POLLEN GRAINS RECOGNITION USING STRUCTURAL APPROACH AND NEURAL NETWORKS
N Khanzhina, E Zamyatina
The system can't perform the operation now. Try again later.
Articles 1–18