Výsledky vyhledávání - "Nikos Paragios"

Akademický článek

Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy

Autor: Marcel Nachbar, Monica lo Russo, Cihan Gani, Simon Boeke, Daniel Wegener, Frank Paulsen, Daniel Zips, Thais Roque, Nikos Paragios, Daniela Thorwarth

Publikováno v: Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 197-207 (2024)

Background and purpose: MR-guided radiotherapy (MRgRT) online plan adaptation accounts for tumor volume changes, interfraction motion and thus allows daily sparing of relevant organs at risk. Due to the high interfraction variability of bladder and r

Externí odkaz: https://doaj.org/article/7091779096a94872b68b316bad7c4c30

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Akademický článek

A multi-centric evaluation of self-learning GAN based pseudo-CT generation software for low field pelvic magnetic resonance imaging

Publikováno v: Frontiers in Oncology, Vol 13 (2023)

Purpose/objectivesAn artificial intelligence-based pseudo-CT from low-field MR images is proposed and clinically evaluated to unlock the full potential of MRI-guided adaptive radiotherapy for pelvic cancer care.Materials and methodIn collaboration wi

Externí odkaz: https://doaj.org/article/12c43141a4f34f559e4224759557d117

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Akademický článek

Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning

Autor: Bastien Caba, Alexandre Cafaro, Aurélien Lombard, Douglas L. Arnold, Colm Elliott, Dawei Liu, Xiaotong Jiang, Arie Gafson, Elizabeth Fisher, Shibeshih Mitiku Belachew, Nikos Paragios

Publikováno v: NeuroImage, Vol 265, Iss , Pp 119787- (2023)

Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative disease characterized by the appearance of focal lesions across the central nervous system. The discrimination of acute from chronic MS lesions may yield novel biomarkers of infl

Externí odkaz: https://doaj.org/article/0d46a4ba43d34b9e81437e02ffefa26f

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Akademický článek

Dosimetric Evaluation of Dose Calculation Uncertainties for MR-Only Approaches in Prostate MR-Guided Radiotherapy

Autor: Ivan Coric, Kumar Shreshtha, Thais Roque, Nikos Paragios, Cihan Gani, Daniel Zips, Daniela Thorwarth, Marcel Nachbar

Publikováno v: Frontiers in Physics, Vol 10 (2022)

Purpose: Magnetic resonance imaging guided radiotherapy (MRgRT) allows treatment plan adaptation on the MRI of the day. For dose calculations, a structure-specific bulk relative electron density (RED) overwrite derived from a planning computed tomogr

Externí odkaz: https://doaj.org/article/6a36b7ccf96846f9bfa5f9dd41308705

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Akademický článek

Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells

Publikováno v: Journal for ImmunoTherapy of Cancer, Vol 8, Iss 2 (2020)

Background Combining radiotherapy (RT) with immuno-oncology (IO) therapy (IORT) may enhance IO-induced antitumor response. Quantitative imaging biomarkers can be used to provide prognosis, predict tumor response in a non-invasive fashion and improve

Externí odkaz: https://doaj.org/article/231cb0065627444ebd7c169e765aa1cb

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Akademický článek

Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation

Autor: Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis, Mihir Sahasrabudhe, Roger Sun, Charlotte Robert, Hugues Talbot, Nikos Paragios, Eric Deutsch

Publikováno v: Frontiers in Computational Neuroscience, Vol 14 (2020)

Image registration and segmentation are the two most studied problems in medical image analysis. Deep learning algorithms have recently gained a lot of attention due to their success and state-of-the-art results in variety of problems and communities

Externí odkaz: https://doaj.org/article/5c3915bdf829480aa15d8fa0eb924aa6

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Akademický článek

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

Autor: Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Vasileios Megalooikonomou, Nikos Paragios, Evangelia I. Zacharaki

Publikováno v: PeerJ, Vol 6, p e4750 (2018)

During the past decade, with the significant progress of computational power as well as ever-rising data availability, deep learning techniques became increasingly popular due to their excellent performance on computer vision problems. The size of th

Externí odkaz: https://doaj.org/article/5fc999a842384af796ccdb3a0349f523

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Akademický článek

Automatic single- and multi-label enzymatic function prediction by machine learning

Autor: Shervine Amidi, Afshine Amidi, Dimitrios Vlachakis, Nikos Paragios, Evangelia I. Zacharaki

Publikováno v: PeerJ, Vol 5, p e3095 (2017)

The number of protein structures in the PDB database has been increasing more than 15-fold since 1999. The creation of computational models predicting enzymatic function is of major importance since such models provide the means to better understand

Externí odkaz: https://doaj.org/article/0d6e56a4e22e466aabf80736e8622585

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Akademický článek

A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain.

Autor: Sarah Parisot, Amélie Darlix, Cédric Baumann, Sonia Zouaoui, Yordanka Yordanova, Marie Blonski, Valérie Rigau, Stéphane Chemouny, Luc Taillandier, Luc Bauchet, Hugues Duffau, Nikos Paragios

Publikováno v: PLoS ONE, Vol 11, Iss 1, p e0144200 (2016)

Diffuse WHO grade II gliomas are diffusively infiltrative brain tumors characterized by an unavoidable anaplastic transformation. Their management is strongly dependent on their location in the brain due to interactions with functional regions and po

Externí odkaz: https://doaj.org/article/621ecc999b1842228cb31def9713fe11

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