Publications by authors named "Dimitris Visvikis"

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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.
Dimitris Visvikis, Catherine Cheze Le Rest, Vincent Jaouen, Mathieu Hatt

Eur J Nucl Med Mol Imaging· December 2019

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Exploring learning transferability in deep segmentation of colorectal cancer liver metastases.
Marwan Abbas, Bogdan Badic, Gustavo Andrade-Miranda, Vincent Bourbonne, Vincent Jaouen, Dimitris Visvikis

Comput Biol Med· November 2025

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In silico assessment of cellular damage from Lu-177, Ac-225, and Pb-212 therapeutic radionuclides.
Konstantinos P Chatzipapas, Konstantinos Papachristou, Dimitris Visvikis, Sebastien Incerti, John D Hazle

Med Phys· November 2025

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Recommendations on the Clinical Application and Future Potential of α-Particle Therapy: A Comprehensive Review of the Results from the SECURE Project.
Valentina Di Iorio, Anna Sarnelli, Stefano Boschi, Maddalena Sansovini, Rosa Maria Genovese, Dimitris Visvikis

Pharmaceuticals (Basel)· October 2025

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Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification.
Sacha Dedeken, Pierre-Henri Conze, Vera Damerjian Pieters, Olivier Gallinato, Jérôme Faure, Dimitris Visvikis

Comput Med Imaging Graph· July 2025

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Evaluation of deep learning-based scatter correction on a long-axial field-of-view PET scanner.
Baptiste Laurent, Alexandre Bousse, Thibaut Merlin, Axel Rominger, Kuangyu Shi, Dimitris Visvikis

Eur J Nucl Med Mol Imaging· June 2025

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A project to define standards for radiology staffing, education and training across the European Union.
Adrian P Brady, Boris Brkljačić, Jonathan McNulty, Christian Loewe, Mary Coffey, Dimitris Visvikis

Insights Imaging· March 2025

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Cross-Modal Tumor Segmentation Using Generative Blending Augmentation and Self-Training.
Guillaume Salle, Gustavo Andrade-Miranda, Pierre-Henri Conze, Nicolas Boussion, Julien Bert, Dimitris Visvikis

IEEE Trans Biomed Eng· January 2025

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Exploring transformer reliability in clinically significant prostate cancer segmentation: A comprehensive in-depth investigation.
Gustavo Andrade-Miranda, Pedro Soto Vega, Kamilia Taguelmimt, Hong-Phuong Dang, Dimitris Visvikis

Comput Med Imaging Graph· December 2024

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Development of a novel computational technique to create DNA and cell geometrical models for Geant4-DNA.
Konstantinos P Chatzipapas, Hoang Ngoc Tran, Milos Dordevic, Dousatsu Sakata, Sebastien Incerti, Dimitris Visvikis

Phys Med· November 2024

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Surgical radioguidance with beta-emitting radionuclides; challenges and possibilities: A position paper by the EANM.
Pedro Fragoso Costa, Kuangyu Shi, Soren Holm, Sergi Vidal-Sicart, Tereza Kracmerova, Dimitris Visvikis

Eur J Nucl Med Mol Imaging· August 2024

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Automated PD-L1 status prediction in lung cancer with multi-modal PET/CT fusion.
Ronrick Da-Ano, Gustavo Andrade-Miranda, Olena Tankyevych, Dimitris Visvikis, Pierre-Henri Conze

Sci Rep· July 2024

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Investigation of Machine and Deep Learning Techniques to Detect HPV Status.
Efstathia Petrou, Konstantinos Chatzipapas, Panagiotis Papadimitroulas, Gustavo Andrade-Miranda, Paraskevi F Katsakiori, Dimitris Visvikis

J Pers Med· July 2024

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Improving abdominal image segmentation with overcomplete shape priors.
Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis

Comput Med Imaging Graph· April 2024

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Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence.
Thomas Louis, François Lucia, François Cousin, Carole Mievis, Nicolas Jansen, Dimitris Visvikis

Sci Rep· April 2024

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A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising with Neural Network Approaches.
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Kuangyu Shi, Kuang Gong, Jae Sung Lee, Dimitris Visvikis

IEEE Trans Radiat Plasma Med Sci· April 2024

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Multicentric development and evaluation of [F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy.
François Lucia, Thomas Louis, François Cousin, Vincent Bourbonne, Dimitris Visvikis

Eur J Nucl Med Mol Imaging· March 2024

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Monte Carlo Dosimetry Validation for X-Ray Guided Endovascular Procedures.
Bahaa Nasr, Mateo Villa, Didier Benoit, Dimitris Visvikis, Julien Bert

Ann Vasc Surg· February 2024

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Contrastive image adaptation for acquisition shift reduction in medical imaging.
Clément Hognon, Pierre-Henri Conze, Vincent Bourbonne, Olivier Gallinato, Thierry Colin, Dimitris Visvikis

Artif Intell Med· February 2024

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PET/CT-Based Radiogenomics Supports KEAP1/NFE2L2 Pathway Targeting for Non-Small Cell Lung Cancer Treated with Curative Radiotherapy.
Vincent Bourbonne, Moncef Morjani, Olivier Pradier, Mathieu Hatt, Vincent Jaouen, Dimitris Visvikis

J Nucl Med· February 2024

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A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising with Neural Network Approaches.
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Kuangyu Shi, Kuang Gong, Jae Sung Lee, Dimitris Visvikis

ArXiv· January 2024

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Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge.
Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Olena Tankyevych, Dimitris Visvikis

Med Image Anal· December 2023

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["New Modalities in Cancer Imaging and Therapy" XVth edition of the workshop organized by the network "Tumor Targeting, Imaging, Radiotherapies" of the Cancéropôle Grand-Ouest, 5-8 October 2022, France].
Françoise Léost, Jacques Barbet, Maryline Beyler, Michel Chérel, Grégory Delpon, Dimitris Visvikis

Bull Cancer· December 2023

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Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology.
Gustavo Andrade-Miranda, Vincent Jaouen, Olena Tankyevych, Catherine Cheze Le Rest, Dimitris Visvikis

Comput Med Imaging Graph· December 2023

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Fast dose calculation in x-ray guided interventions by using deep learning.
Mateo Villa, Bahaa Nasr, Didier Benoit, Nicolas Padoy, Dimitris Visvikis

Phys Med Biol· July 2023

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Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images.
Rihab Hami, Sena Apeke, Pascal Redou, Laurent Gaubert, Ludwig J Dubois, Dimitris Visvikis

J Imaging· June 2023

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