Results 1 to 10 of about 70,067 (222)

Utilizing MRI Radiomics and Clinical Features to Predict Severe Acute Pancreatitis in Patients with Metabolic Syndrome. [PDF]

J Inflamm Res
Wang Y, Wan X, Zhang Y, Liu Z, Liu Z, Tang M, Huang X.   +6 more
europepmc   +3 more sources

An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography

ERJ Open Research, 2022
Purpose In this study, we propose an artificial intelligence (AI) framework based on three-dimensional convolutional neural networks to classify computed tomography (CT) scans of patients with coronavirus disease 2019 (COVID-19), influenza/community ...
Akshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, Flore Belmans, Ingrid Van Peufflik, Louis Deprez, Denis Danthine, Gregory Canivet, Philippe Lambin, Sean Walsh, Mariaelena Occhipinti, Paul Meunier, Wim Vos, Pierre Lovinfosse, Ralph T.H. Leijenaar   +14 more
doaj   +1 more source

Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography

Frontiers in Oncology, 2022
Bioluminescence tomography (BLT) is a promising in vivo molecular imaging tool that allows non-invasive monitoring of physiological and pathological processes at the cellular and molecular levels.
Yanqiu Liu, Yanqiu Liu, Mengxiang Chu, Mengxiang Chu, Hongbo Guo, Hongbo Guo, Xiangong Hu, Xiangong Hu, Jingjing Yu, Xuelei He, Xuelei He, Huangjian Yi, Huangjian Yi, Xiaowei He, Xiaowei He, Xiaowei He   +15 more
doaj   +1 more source

Robust imaging habitat computation using voxel-wise radiomics features

Scientific Reports, 2021
Tumor heterogeneity has been postulated as a hallmark of treatment resistance and a cure constraint in cancer patients. Conventional quantitative medical imaging (radiomics) can be extended to computing voxel-wise features and aggregating tumor ...
Kinga Bernatowicz, Francesco Grussu, Marta Ligero, Alonso Garcia, Eric Delgado, Raquel Perez-Lopez   +5 more
doaj   +1 more source

A Multilevel Probabilistic Cerenkov Luminescence Tomography Reconstruction Framework Based on Energy Distribution Density Region Scaling

Frontiers in Oncology, 2021
Cerenkov luminescence tomography (CLT) is a promising non-invasive optical imaging method with three-dimensional semiquantitative in vivo imaging capability.
Xiao Wei, Xiao Wei, Hongbo Guo, Hongbo Guo, Jingjing Yu, Xuelei He, Xuelei He, Huangjian Yi, Huangjian Yi, Yuqing Hou, Yuqing Hou, Xiaowei He, Xiaowei He   +12 more
doaj   +1 more source

External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients

Scientific Reports, 2023
The paper deals with the evaluation of the performance of an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, in the context of anal cancer.
Ralph T. H. Leijenaar, Sean Walsh, Akshayaa Vaidyanathan, Lorenzo Aliboni, Victoria Lopez Sanchez, Michelle Leech, Ronan Joyce, Charles Gillham, Frédéric Kridelka, Roland Hustinx, Denis Danthine, Mariaelena Occhipinti, Wim Vos, Julien Guiot, Philippe Lambin, Pierre Lovinfosse   +15 more
doaj   +1 more source

A Finite Element Mesh Regrouping Strategy-Based Hybrid Light Transport Model for Enhancing the Efficiency and Accuracy of XLCT

Frontiers in Oncology, 2022
X-ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality in optical molecular imaging, which has attracted more attention and has been widely studied. In XLCT, the accuracy and operational efficiency of an optical transmission
Yanqiu Liu, Yanqiu Liu, Xiangong Hu, Xiangong Hu, Mengxiang Chu, Mengxiang Chu, Hongbo Guo, Hongbo Guo, Jingjing Yu, Xiaowei He, Xiaowei He, Xiaowei He   +11 more
doaj   +1 more source

Dynamic magnetic resonance imaging of muscle contraction in facioscapulohumeral muscular dystrophy

Scientific Reports, 2022
Quantitative muscle MRI (water-T2 and fat mapping) is being increasingly used to assess disease involvement in muscle disorders, while imaging techniques for assessment of the dynamic and elastic muscle properties have not yet been translated into ...
Xeni Deligianni, Francesco Santini, Matteo Paoletti, Francesca Solazzo, Niels Bergsland, Giovanni Savini, Arianna Faggioli, Giancarlo Germani, Mauro Monforte, Enzo Ricci, Giorgio Tasca, Anna Pichiecchio   +11 more
doaj   +1 more source

B₀ Correction for 3T Amide Proton Transfer (APT) MRI Using a Simplified Two-Pool Lorentzian Model of Symmetric Water and Asymmetric Solutes

Tomography, 2022
Amide proton transfer (APT)-weighted MRI is a promising molecular imaging technique that has been employed in clinic for detection and grading of brain tumors. MTRasym, the quantification method of APT, is easily influenced by B0 inhomogeneity and causes
Yibing Chen, Xujian Dang, Benqi Zhao, Zhuozhao Zheng, Xiaowei He, Xiaolei Song   +5 more
doaj   +1 more source

Pilot Study on Quantitative Cervical Cord and Muscular MRI in Spinal Muscular Atrophy: Promising Biomarkers of Disease Evolution and Treatment?

Frontiers in Neurology, 2021
Introduction: Nusinersen is a recent promising therapy approved for the treatment of spinal muscular atrophy (SMA), a rare disease characterized by the degeneration of alpha motor neurons (αMN) in the spinal cord (SC) leading to progressive muscle ...
Giovanni Savini, Carlo Asteggiano, Carlo Asteggiano, Matteo Paoletti, Stefano Parravicini, Elena Pezzotti, Francesca Solazzo, Shaun I. Muzic, Francesco Santini, Francesco Santini, Xeni Deligianni, Xeni Deligianni, Alice Gardani, Giancarlo Germani, Lisa M. Farina, Niels Bergsland, Niels Bergsland, Claudia A. M. Gandini Wheeler-Kingshott, Claudia A. M. Gandini Wheeler-Kingshott, Claudia A. M. Gandini Wheeler-Kingshott, Angela Berardinelli, Stefano Bastianello, Stefano Bastianello, Anna Pichiecchio, Anna Pichiecchio   +24 more
doaj   +1 more source