Publications by authors named "Nikos Paragios"

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Advances in Artificial Intelligence for Glioblastoma Radiotherapy Planning and Treatment.
Reid Master, Nesha Rubin, James Sampson, Kamlesh K Yadav, Shruti Pandita, Nikos Paragios

Cancers (Basel)· November 2025

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Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis.
Quentin Spinat, Benoit Audelan, Xiaotong Jiang, Bastien Caba, Alexis Benichoux, Nikos Paragios

Med Image Anal· October 2025

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Quantitative Evaluation of a Fully Automated Planning Solution for Prostate-Only and Whole-Pelvic Radiotherapy.
Jessica Prunaretty, Baris Ungun, Remi Vauclin, Madalina Costea, Norbert Bus, Nikos Paragios

Cancers (Basel)· November 2024

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The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.
Luuk H Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Nikos Paragios

Med Image Anal· October 2024

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Two Projections Suffice for Cerebral Vascular Reconstruction.
Alexandre Cafaro, Reuben Dorent, Nazim Haouchine, Vincent Lepetit, Nikos Paragios

Med Image Comput Comput Assist Interv· October 2024

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Translational Frontiers and Clinical Opportunities of Immunologically Fitted Radiotherapy.
Daphné Morel, Charlotte Robert, Nikos Paragios, Vincent Grégoire, Eric Deutsch

Clin Cancer Res· June 2024

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Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy.
Marcel Nachbar, Monica Lo Russo, Cihan Gani, Simon Boeke, Daniel Wegener, Nikos Paragios

Z Med Phys· May 2024

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Standardizing and improving dose predictions for head and neck cancers using complete sets of OAR contours.
Jacob S Buatti, Neil Kirby, Sotirios Stathakis, Ruiqi Li, Sruthi Sivabhaskar, Nikos Paragios

Med Phys· February 2024

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A multi-centric evaluation of self-learning GAN based pseudo-CT generation software for low field pelvic magnetic resonance imaging.
Jessica Prunaretty, Gorkem Güngör, Thierry Gevaert, David Azria, Simon Valdenaire, Nikos Paragios

Front Oncol· November 2023

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The use of image synthesis techniques in target and roi delineation in the upright position.
Andries Niek Schreuder, Nikos Paragios, Michael Kissick, Michelle Lis, Tracy S A Underwood

J Appl Clin Med Phys· August 2023

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COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures.
Enzo Battistella, Maria Vakalopoulou, Roger Sun, Theo Estienne, Marvin Lerousseau, Nikos Paragios

IEEE/ACM Trans Comput Biol Bioinform· April 2023

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Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning.
Bastien Caba, Alexandre Cafaro, Aurélien Lombard, Douglas L Arnold, Colm Elliott, Nikos Paragios

Neuroimage· January 2023

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Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification.
Evgenios N Kornaropoulos, Evangelia I Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios

IEEE J Biomed Health Inform· July 2022

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Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?
Trieu-Nghi Hoang-Thi, Maria Vakalopoulou, Stergios Christodoulidis, Nikos Paragios, Marie-Pierre Revel

Diagn Interv Imaging· November 2021

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Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis.
Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I Zacharaki, Eugenie Maurin, Beatrice Grange, Nikos Paragios

IEEE J Biomed Health Inform· June 2021

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Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.
Laurent Dercle, Theophraste Henry, Alexandre Carré, Nikos Paragios, Eric Deutsch

Methods· April 2021

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Elastic Registration-driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT.
Guillaume Chassagnon, Maria Vakalopoulou, Alexis Régent, Mihir Sahasrabudhe, Rafael Marini, Nikos Paragios

Radiology· January 2021

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AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia.
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Nikos Paragios

Med Image Anal· January 2021

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Quantification of Cystic Fibrosis Lung Disease with Radiomics-based CT Scores.
Guillaume Chassagnon, Evangelia I Zacharaki, Sébastien Bommart, Pierre-Régis Burgel, Raphael Chiron, Nikos Paragios

Radiol Cardiothorac Imaging· December 2020

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Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning.
Emilie Alvarez Andres, Lucas Fidon, Maria Vakalopoulou, Marvin Lerousseau, Alexandre Carré, Nikos Paragios

Int J Radiat Oncol Biol Phys· November 2020

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Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells.
Roger Sun, Nora Sundahl, Markus Hecht, Florian Putz, Andrea Lancia, Nikos Paragios

J Immunother Cancer· November 2020

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Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics.
Alexandre Carré, Guillaume Klausner, Myriam Edjlali, Marvin Lerousseau, Jade Briend-Diop, Nikos Paragios

Sci Rep· July 2020

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Deep Learning-based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images.
Guillaume Chassagnon, Maria Vakalopoulou, Alexis Régent, Evangelia I Zacharaki, Galit Aviram, Nikos Paragios

Radiol Artif Intell· July 2020

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Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation.
Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Nikos Paragios

Front Comput Neurosci· March 2020

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Artificial intelligence applications for thoracic imaging.
Guillaume Chassagnon, Maria Vakalopoulou, Nikos Paragios, Marie-Pierre Revel

Eur J Radiol· February 2020

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