Boris Shirokikh
American University in London(GB)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, Medical Imaging Techniques and Applications, Brain Tumor Detection and Classification, COVID-19 diagnosis using AI
Most-Cited Works
- → Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization(2021)18 cited
- → Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation(2023)12 cited
- → Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application(2022)9 cited
- → CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification(2021)8 cited
- → CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation(2022)6 cited
- → Inductive Matrix Completion with Feature Selection(2021)6 cited
- → Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation(2020)6 cited
- → Redesigning Out-of-Distribution Detection on 3D Medical Images(2023)5 cited
- → Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation(2018)4 cited
- → Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation(2023)3 cited