Olena Tankyevych - Publications

Multimodal PET/CT-based PD-L1 status prediction in lung cancer via semi-supervised and unsupervised deep learning.

Journal: Scientific reports

Published: February 09, 2026

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.

Journal: Head and neck tumor segmentation and outcome prediction : third challenge, HECKTOR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3rd : 2022 : Singapor...

Published: May 17, 2023

Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology.

Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

Published: February 09, 2023

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge.

Journal: Medical image analysis

Published: September 20, 2022

Development of Radiomic-Based Model to Predict Clinical Outcomes in Non-Small Cell Lung Cancer Patients Treated with Immunotherapy.

Journal: Cancers

Published: August 04, 2022

Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer.

Journal: Frontiers in oncology

Published: June 17, 2021

Radiomics in PET/CT: Current Status and Future AI-Based Evolutions.

Journal: Seminars in nuclear medicine

Published: January 29, 2021

Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer.

Journal: Diagnostics (Basel, Switzerland)

Published: January 21, 2021

Can alternative PET reconstruction schemes improve the prognostic value of radiomic features in non-small cell lung cancer?

Journal: Methods (San Diego, Calif.)

Published: September 14, 2020

Three-dimensional segmentation and symbolic representation of cerebral vessels on 3DRA images of arteriovenous malformations.

Journal: Computers in biology and medicine

Published: June 10, 2019

Symbolic representation of brain vascular network with Arteriovenous Malformations from 3DRA images.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: January 07, 2016

Directed Connected Operators: Asymmetric Hierarchies for Image Filtering and Segmentation.

Journal: IEEE transactions on pattern analysis and machine intelligence

Published: September 11, 2015