Boris Shirokikh

Orcid: 0000-0002-2901-5789

According to our database1, Boris Shirokikh authored at least 19 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.
CoRR, 2024

Negligible effect of brain MRI data preprocessing for tumor segmentation.
Biomed. Signal Process. Control., 2024

2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023

Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation.
J. Imaging, 2023

Redesigning Out-of-Distribution Detection on 3D Medical Images.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

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

Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency.
J. Imaging, 2022

Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation.
CoRR, 2022

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

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022

2021
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.
Medical Image Anal., 2021

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

Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

2020
First U-Net Layers Contain More Domain Specific Information Than the Last Ones.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 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

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
Sparse Group Inductive Matrix Completion.
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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