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Clinical and Translational Radiation Oncology
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March 4, 2022
Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study
Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, et al.
Scientific Reports
|
April 26, 2024
Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [<sup>82</sup>Rb] PET for MACE prediction
Sacha Bors, Daniel Abler, Matthieu Dietz, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
December 10, 2021
<sup>18</sup>F-FDG PET/CT-Based Prognostic Survival Model After Surgery for Head and Neck Cancer
Gwenaelle Creff, Franck Jegoux, Xavier Palard, et al.
Medical Image Analysis
|
September 24, 2023
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, et al.
Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization
|
April 7, 2018
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
Mingchen Gao, Ulas Bagci, Le Lu, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
November 27, 2025
Contribution of quantitative I-123-ioflupane SPECT/CT to the differential diagnosis of dementia with lewy bodies
George Karun Kurian, Paolo Salvioni Chiabotti, Caroline Hall, et al.
Medical Physics
|
March 18, 2026
Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multicentric anthropomorphic phantom study
María Martín Asiain, Mohammadreza Amirian, Oscar Jimenez Del Toro, et al.
The British Journal of Radiology
|
November 21, 2018
The use of texture-based radiomics CT analysis to predict outcomes in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy
Pierre Starkov, Todd A Aguilera, Daniel I Golden, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
March 7, 2026
A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosis
Federico Spagnolo, Pedro M Gordaliza, Aarushi Bhardwaj, et al.
Neuro-Degenerative Diseases
|
July 10, 2025
A Radiomics-Based Analysis of Functional Dopaminergic Scintigraphic Imaging for the Diagnosis of Dementia with Lewy Bodies
Jérémy Perriraz, Daniel Abler, Paolo Salvioni Chiabotti, et al.
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Search research articles
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Showing results (61-70 of 80) with videos related to
Sort By:
Page
of 8
Clinical and Translational Radiation Oncology
|
March 4, 2022
Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study
Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, et al.
Scientific Reports
|
April 26, 2024
Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [<sup>82</sup>Rb] PET for MACE prediction
Sacha Bors, Daniel Abler, Matthieu Dietz, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
December 10, 2021
<sup>18</sup>F-FDG PET/CT-Based Prognostic Survival Model After Surgery for Head and Neck Cancer
Gwenaelle Creff, Franck Jegoux, Xavier Palard, et al.
Medical Image Analysis
|
September 24, 2023
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, et al.
Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization
|
April 7, 2018
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
Mingchen Gao, Ulas Bagci, Le Lu, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
November 27, 2025
Contribution of quantitative I-123-ioflupane SPECT/CT to the differential diagnosis of dementia with lewy bodies
George Karun Kurian, Paolo Salvioni Chiabotti, Caroline Hall, et al.
Medical Physics
|
March 18, 2026
Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multicentric anthropomorphic phantom study
María Martín Asiain, Mohammadreza Amirian, Oscar Jimenez Del Toro, et al.
The British Journal of Radiology
|
November 21, 2018
The use of texture-based radiomics CT analysis to predict outcomes in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy
Pierre Starkov, Todd A Aguilera, Daniel I Golden, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
March 7, 2026
A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosis
Federico Spagnolo, Pedro M Gordaliza, Aarushi Bhardwaj, et al.
Neuro-Degenerative Diseases
|
July 10, 2025
A Radiomics-Based Analysis of Functional Dopaminergic Scintigraphic Imaging for the Diagnosis of Dementia with Lewy Bodies
Jérémy Perriraz, Daniel Abler, Paolo Salvioni Chiabotti, et al.
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