Alexandra Dalechina

According to our database, Alexandra Dalechina authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

2024

The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning.

Anvar Kurmukov, Bogdan D. Zavolovich, Aleksandra Dalechina, Vladislav Proskurov, Boris Shirokikh

CoRR, 2024

Negligible effect of brain MRI data preprocessing for tumor segmentation.

Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Svetlana Zolotova, Andrey Golanov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov

Biomed. Signal Process. Control., 2024

2022

Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.

Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev

IEEE J. Biomed. Health Informatics, 2022

Neglectable effect of brain MRI data prepreprocessing for tumor segmentation.

Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov

CoRR, 2022

2021

Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization.

Boris Shirokikh, Alexey Shevtsov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev

J. Imaging, 2021

Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data.

Anvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, Mikhail Belyaev, Svetlana Zolotova, Andrey Golanov, Anna Nikolaeva

Proceedings of the Public Health and Informatics, 2021

2020

Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation.

Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting.

Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Python software to evaluate geometric discrepancies between stereotactic CT and MR images in radiosurgery.

Bogdan D. Zavolovich, Irina I. Bannikova, Aleksandra Dalechina, Valery Kostjuchenko, Pavel N. Ryabov

Proceedings of the 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2020

2019

Multi-domain CT metal artifacts reduction using partial convolution based inpainting.

Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev

CoRR, 2019

Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation.

Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Ivan Osinov, Andrey Golanov, Mikhail Belyaev

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Brain Tumor Image Retrieval via Multitask Learning.

Maxim Pisov, Gleb Makarchuk, Valery Kostjuchenko, Alexandra Dalechina, Andrey Golanov, Mikhail Belyaev

CoRR, 2018

Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation.

Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev

Proceedings of the Patch-Based Techniques in Medical Imaging, 2018