Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Symbolic representation of brain vascular network with Arteriovenous Malformations from 3DRA imagesFan Li, Olena Tankyevych, Yasmina Chenoune, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 11, 2015
Directed Connected Operators: Asymmetric Hierarchies for Image Filtering and SegmentationBenjamin Perret, Jean Cousty, Olena Tankyevych, et al.
Frontiers in Oncology|November 4, 2021
Accurate Tumor Delineation <i>vs.</i> Rough Volume of Interest Analysis for <sup>18</sup>F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung CancerShima Sepehri, Olena Tankyevych, Andrei Iantsen, et al.
Diagnostics (Basel, Switzerland)|April 30, 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 CancerShima Sepehri, Olena Tankyevych, Taman Upadhaya, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 2, 2023
Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncologyGustavo Andrade-Miranda, Vincent Jaouen, Olena Tankyevych, et al.
Scientific Reports|July 19, 2024
Automated PD-L1 status prediction in lung cancer with multi-modal PET/CT fusionRonrick Da-Ano, Gustavo Andrade-Miranda, Olena Tankyevych, et al.
Cancers|December 11, 2022
Development of Radiomic-Based Model to Predict Clinical Outcomes in Non-Small Cell Lung Cancer Patients Treated with ImmunotherapyOlena Tankyevych, Flora Trousset, Claire Latappy, et al.
Methods (San Diego, Calif.)|November 16, 2020
Can alternative PET reconstruction schemes improve the prognostic value of radiomic features in non-small cell lung cancer?Olena Tankyevych, Florent Tixier, Nils Antonorsi, et al.
Scientific Reports|June 24, 2026
Multimodal PET/CT-based PD-L1 status prediction in lung cancer via semi-supervised and unsupervised deep learningRonrick Da-Ano, Olena Tankyevych, François Lucia, et al.
Seminars in Nuclear Medicine|January 29, 2021
Radiomics in PET/CT: Current Status and Future AI-Based EvolutionsMathieu Hatt, Catherine Cheze Le Rest, Nils Antonorsi, et al.
Pageof 2