Alexandra Dalechina

Orcid: 0000-0003-0782-0821

According to our database1, Alexandra Dalechina authored at least 11 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

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Bibliography

2022
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.
IEEE J. Biomed. Health Informatics, 2022

Neglectable effect of brain MRI data prepreprocessing for tumor segmentation.
CoRR, 2022

2021
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization.
J. Imaging, 2021

Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data.
Proceedings of the Public Health and Informatics, 2021

2020
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting.
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.
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.
CoRR, 2019

Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Brain Tumor Image Retrieval via Multitask Learning.
CoRR, 2018

Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018


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