Natalia Khanzhina

According to our database, Natalia Khanzhina authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

New Bayesian Focal Loss Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition.

Natalia Khanzhina, Maxim Kashirin, Andrey Filchenkov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Combating data incompetence in pollen images detection and classification for pollinosis prevention.

Natalia Khanzhina, Andrey Filchenkov, Natalia Minaeva, Larisa Novoselova, Maxim V. Petukhov, Irina Kharisova, Julia Pinaeva, Georgiy Zamorin, Evgeny Putin, Elena Zamyatina, Anatoly Shalyto

Comput. Biol. Medicine, 2022

2021

Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling.

Natalia Khanzhina, Alexey Lapenok, Andrey Filchenkov

CoRR, 2021

Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks.

Dmitry Krylov, Semen Poliakov, Natalia Khanzhina, Alexey Zabashta, Andrey Filchenkov, Aleksandr Farseev

Proceedings of the MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, 2021

Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation.

Natalia Khanzhina, Maxim Kashirin, Andrey Filchenkov

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks.

Alexander Semiletov, Aleksandra Vatian, Maksim Krychkov, Natalia Khanzhina, Anton Klochkov, Aleksey Zubanenko, Roman Soldatov, Anatoly Shalyto, Natalia F. Gusarova

Proceedings of the Computational Science - ICCS 2021, 2021

2020

CT images GAN-based augmentation with AdaIN for lung nodules detection.

Natalia Khanzhina, Ilya Osmakov

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

2019

Synthetic images generation for text detection and recognition in the wild.

Natalia Khanzhina, Natalia Slepkova, Andrey Filchenkov

Proceedings of the Twelfth International Conference on Machine Vision, 2019

2018

Pollen grain recognition using convolutional neural network.

Natalia Khanzhina, Evgeny Putin, Andrey Filchenkov, Elena Zamyatina

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018