NP
N. Paragios
Algorithmscs.CVcs.LGSubtraction TechniqueArtificial Intelligenceeess.IVDeep learningDeep LearningMachine learningartificial intelligence
On Valency
published · living versionsW_fpyczv47·v1 · currentpublished
Learning the Dose Manifold: A Latent Diffusion Framework for Volumetric Dose Prediction in Automated Radiotherapy Treatment Planning
with J. Boyer-Chammard, R. Vauclin, M. C. Biston, P. Maury +5
1 version
W_ctyr365s·v1published
Preprints & journals
127 papers in the corpus · 2003–2026Metabolic determinants of cancer immunotherapy outcomes identified by plasma profiling.42350644 · Suissa, Déborah, Fidelle, Marine, Reich, Ella et al.2026 · 5 citationsNature medicine. 2026;32(8):2918-2932
Advances in Artificial Intelligence for Glioblastoma Radiotherapy Planning and Treatment.41374965 · Master, Reid, Rubin, Nesha, Sampson, James et al.2025 · 7 citationsCancers. 2025;17(23)
Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis.40505211 · Spinat, Quentin, Audelan, Benoit, Jiang, Xiaotong et al.2025 · 2 citationsMedical image analysis. 2025;105:103619
Evaluation of Two Commercial Artificial Intelligence Segmentation Systems for Radiation Therapy.41939164 · DiTusa, Chloe, Chen, Jasmine, Husain, Abbas et al.2026 · 0 citationsJournal of medical physics. 2025;50(2):233-241
Quantitative Evaluation of a Fully Automated Planning Solution for Prostate-Only and Whole-Pelvic Radiotherapy.39594691 · Prunaretty, Jessica, Ungun, Baris, Vauclin, Remi et al.2024 · 1 citationCancers. 2024;16(22)
Two Projections Suffice for Cerebral Vascular Reconstruction.41426353 · Cafaro, Alexandre, Dorent, Reuben, Haouchine, Nazim et al.2025 · 4 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2024;15007:722-731
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.38875741 · Boulogne, Luuk H, Lorenz, Julian, Kienzle, Daniel et al.2024 · 6 citationsMedical image analysis. 2024;97:103230
Translational Frontiers and Clinical Opportunities of Immunologically Fitted Radiotherapy.38477824 · Morel, Daphné, Robert, Charlotte, Paragios, Nikos et al.2024 · 24 citationsClinical cancer research : an official journal of the American Association for Cancer Research. 2024;30(11):2317-2332
GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery2405.11977v1 · Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi et al.2024 · 0 citationsarXiv
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images2404.13103v1 · Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Belachew et al.2024 · 3 citationsarXiv
Standardizing and improving dose predictions for head and neck cancers using complete sets of OAR contours.38127972 · Buatti, Jacob S, Kirby, Neil, Stathakis, Sotirios et al.2024 · 5 citationsMedical physics. 2024;51(2):898-909
A multi-centric evaluation of self-learning GAN based pseudo-CT generation software for low field pelvic magnetic resonance imaging.38023165 · Prunaretty, Jessica, Güngör, Gorkem, Gevaert, Thierry et al.2023 · 8 citationsFrontiers in oncology. 2023;13:1245054
Certification of Deep Learning Models for Medical Image Segmentation2310.03664v1 · Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon et al.2023 · 5 citationsarXiv
The use of image synthesis techniques in target and roi delineation in the upright position.37345588 · Schreuder, Andries Niek, Paragios, Nikos, Kissick, Michael et al.2023 · 4 citationsJournal of applied clinical medical physics. 2023;24(8):e14079
Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy.37263911 · Nachbar, Marcel, Lo Russo, Monica, Gani, Cihan et al.2024 · 50 citationsZeitschrift fur medizinische Physik. 2024;34(2):197-207
Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning.36473647 · Caba, Bastien, Cafaro, Alexandre, Lombard, Aurélien et al.2023 · 19 citationsNeuroImage. 2023;265:119787
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures.34714749 · Battistella, Enzo, Vakalopoulou, Maria, Sun, Roger et al.2023 · 6 citationsIEEE/ACM transactions on computational biology and bioinformatics. 2022;19(6):3317-3331
Region-guided CycleGANs for Stain Transfer in Whole Slide Images2208.12847v1 · Joseph Boyd, Irene Villa, Marie-Christine Mathieu et al.2022 · 14 citationsarXiv
Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification.35239496 · Kornaropoulos, Evgenios N, Zacharaki, Evangelia I, Zerbib, Pierre et al.2022 · 4 citationsIEEE journal of biomedical and health informatics. 2022;26(7):3151-3162
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients2112.06979v2 · Bhakti Baheti, Satrajit Chakrabarty, Hamed Akbari et al.2021 · 26 citationsarXiv
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network2111.12123v1 · Th'eo Estienne, Maria Vakalopoulou, Enzo Battistella et al.2021 · 2 citationsarXiv
Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?34686464 · Hoang-Thi, Trieu-Nghi, Vakalopoulou, Maria, Christodoulidis, Stergios et al.2021 · 27 citationsDiagnostic and interventional imaging. 2021;102(11):691-695
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology2109.03299v1 · Joseph Boyd, Mykola Liashuha, Eric Deutsch et al.2021 · 35 citationsarXiv
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment2107.12800v2 · Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon et al.2021 · 5 citationsarXiv
Exploring Deep Registration Latent Spaces2107.11238v1 · Th'eo Estienne, Maria Vakalopoulou, Stergios Christodoulidis et al.2021 · 2 citationsarXiv
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis.33206611 · Sahasrabudhe, Mihir, Sujobert, Pierre, Zacharaki, Evangelia I et al.2021 · 27 citationsIEEE journal of biomedical and health informatics. 2021;25(6):2125-2136
Weakly supervised pan-cancer segmentation tool2105.04269v1 · Marvin Lerousseau, Marion Classe, Enzo Battistella et al.2021 · 10 citationsarXiv
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification2105.02726v2 · Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch et al.2021 · 12 citationsarXiv
Cancer Gene Profiling through Unsupervised Discovery2102.07713v1 · Enzo Battistella, Maria Vakalopoulou, Roger Sun et al.2021 · 3 citationsarXiv
Quantification of Cystic Fibrosis Lung Disease with Radiomics-based CT Scores.33778637 · Chassagnon, Guillaume, Zacharaki, Evangelia I, Bommart, Sébastien et al.2022 · 12 citationsRadiology. Cardiothoracic imaging. 2020;2(6):e200022
Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells.33188037 · Sun, Roger, Sundahl, Nora, Hecht, Markus et al.2021 · 94 citationsJournal for immunotherapy of cancer. 2020;8(2)
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution2011.01045v2 · Theophraste Henry, Alexandre Carre, Marvin Lerousseau et al.2020 · 145 citationsarXiv
Deep learning based registration using spatial gradients and noisy segmentation labels2010.10897v2 · Th'eo Estienne, Maria Vakalopoulou, Enzo Battistella et al.2020 · 13 citationsIn: Shusharina N., Heinrich M.P., Huang R. (eds) Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data. MICCAI 2020. Lecture Notes in Computer Science, vol 12587. Springer, Cham
Elastic Registration-driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT.33078999 · Chassagnon, Guillaume, Vakalopoulou, Maria, Régent, Alexis et al.2021 · 49 citationsRadiology. 2021;298(1):189-198
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia.33171345 · Chassagnon, Guillaume, Vakalopoulou, Maria, Battistella, Enzo et al.2020 · 169 citationsMedical image analysis. 2021;67:101860
Multimodal brain tumor classification2009.01592v2 · Marvin Lerousseau, Eric Deutsh, Nikos Paragios2020 · 12 citationsarXiv
Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics.32704007 · Carré, Alexandre, Klausner, Guillaume, Edjlali, Myriam et al.2020 · 279 citationsScientific reports. 2020;10(1):12340
Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.32697964 · Dercle, Laurent, Henry, Theophraste, Carré, Alexandre et al.2021 · 46 citationsMethods (San Diego, Calif.). 2021;188:44-60
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention2007.08373v1 · Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado et al.2020 · 64 citationsarXiv
Deep Learning-based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images.33937829 · Chassagnon, Guillaume, Vakalopoulou, Maria, Régent, Alexis et al.2022 · 65 citationsRadiology. Artificial intelligence. 2020;2(4):e190006
Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning.32417412 · Alvarez Andres, Emilie, Fidon, Lucas, Vakalopoulou, Maria et al.2021 · 43 citationsInternational journal of radiation oncology, biology, physics. 2020;108(3):813-823
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia2004.12852v1 · Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella et al.2020 · 13 citationsarXiv
Weakly supervised multiple instance learning histopathological tumor segmentation2004.05024v4 · Marvin Lerousseau, Maria Vakalopoulou, Marion Classe et al.2020 · 104 citationsarXiv
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation.32265680 · Estienne, Théo, Lerousseau, Marvin, Vakalopoulou, Maria et al.2024 · 54 citationsFrontiers in computational neuroscience. 2020;14:17
Artificial intelligence applications for thoracic imaging.31841881 · Chassagnon, Guillaume, Vakalopoulou, Maria, Paragios, Nikos et al.2020 · 204 citationsEuropean journal of radiology. 2020;123:108774
Deep learning: definition and perspectives for thoracic imaging.31811431 · Chassagnon, Guillaume, Vakalopolou, Maria, Paragios, Nikos et al.2020 · 116 citationsEuropean radiology. 2020;30(4):2021-2030
Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis.30835186 · Chassagnon, Guillaume, Martin, Charlotte, Marini, Rafael et al.2020 · 29 citationsRadiology. 2019;291(2):487-492
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
Linear and Deformable Image Registration with 3D Convolutional Neural Networks1809.06226v1 · Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou et al.2018 · 41 citationsarXiv
Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration.30207969 · Ferrante, Enzo, Dokania, Puneet Kumar, Silva, Rafael Marini et al.2020 · 29 citationsIEEE journal of biomedical and health informatics. 2019;23(4):1374-1384
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