Dimitris Visvikis
Affiliations: | Université de Bretagne Occidentale |
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Sign in to add trainee| Konstantinos A Mountris | grad student | 2014-2017 | Université de Bretagne Occidentale |
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| Andrearczyk V, Oreiller V, Abobakr M, et al. (2023) Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. 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.... 13626: 1-30 |
| Chatzipapas KP, Plachouris D, Papadimitroulas P, et al. (2021) Standardization and Validation of Brachytherapy Seeds' Modelling Using GATE and GGEMS Monte Carlo Toolkits. Cancers. 13 |
| Sepehri S, Tankyevych O, Iantsen A, et al. (2021) Accurate Tumor Delineation Rough Volume of Interest Analysis for F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer. Frontiers in Oncology. 11: 726865 |
| Slart RHJA, Williams MC, Juarez-Orozco LE, et al. (2021) Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT. European Journal of Nuclear Medicine and Molecular Imaging. 48: 1399-1413 |
| Iantsen A, Ferreira M, Lucia F, et al. (2021) Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting. European Journal of Nuclear Medicine and Molecular Imaging |
| Plachouris D, Mountris KA, Papadimitroulas P, et al. (2021) Clinical Evaluation of a Three-Dimensional Internal Dosimetry Technique for Liver Radioembolization with Y Microspheres Using Dose Voxel Kernels. Cancer Biotherapy & Radiopharmaceuticals |
| Lecoq P, Morel C, Prior J, et al. (2020) Roadmap toward the 10 ps time-of-flight PET challenge. Physics in Medicine and Biology |
| Tixier F, Cheze-le-Rest C, Schick U, et al. (2020) Transcriptomics in cancer revealed by Positron Emission Tomography radiomics. Scientific Reports. 10: 5660 |
| Dissaux G, Visvikis D, Do-Ano R, et al. (2019) Pre-treatment F-FDG PET/CT Radiomics predict local recurrence in patients treated with stereotactic radiotherapy for early-stage non-small cell lung cancer: a multicentric study. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine |
| Hatt M, Tixier F, Desseroit MC, et al. (2019) Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on F-FDG PET/CT images. Scientific Reports. 9: 14925 |