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Computers in Biology and Medicine
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October 16, 2020
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation
Amine Amyar, Romain Modzelewski, Hua Li, et al.
EJNMMI Research
|
July 24, 2012
Comparison of heterogeneity quantification algorithms for brain SPECT perfusion images
Romain Modzelewski, Elise Janvresse, Thierry de la Rue, et al.
Journal of Imaging
|
May 27, 2022
Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction
Amine Amyar, Romain Modzelewski, Pierre Vera, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
December 29, 2009
Brain perfusion heterogeneity measurement based on Random Walk algorithm: choice and influence of inner parameters
Romain Modzelewski, Elise Janvresse, Thierry de la Rue, et al.
Computers in Biology and Medicine
|
October 28, 2022
Multi-task multi-scale learning for outcome prediction in 3D PET images
Amine Amyar, Romain Modzelewski, Pierre Vera, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
January 10, 2015
Areas of high 18F-FDG uptake on preradiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for non-small cell lung cancer
Jérémie Calais, Sébastien Thureau, Bernard Dubray, et al.
European Radiology
|
January 30, 2022
Deep learning analysis of contrast-enhanced spectral mammography to determine histoprognostic factors of malignant breast tumours
Caroline Dominique, Françoise Callonnec, Anca Berghian, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
March 22, 2023
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning
Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, et al.
International Journal of Radiation Oncology, Biology, Physics
|
November 24, 2022
Assessing Interobserver Variability in the Delineation of Structures in Radiation Oncology: A Systematic Review
Leslie Guzene, Arnaud Beddok, Christophe Nioche, et al.
Computers in Biology and Medicine
|
May 31, 2017
Spotting L3 slice in CT scans using deep convolutional network and transfer learning
Soufiane Belharbi, Clément Chatelain, Romain Hérault, et al.
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Search research articles
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Showing results (1-10 of 59) with videos related to
Sort By:
Page
of 6
Computers in Biology and Medicine
|
October 16, 2020
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation
Amine Amyar, Romain Modzelewski, Hua Li, et al.
EJNMMI Research
|
July 24, 2012
Comparison of heterogeneity quantification algorithms for brain SPECT perfusion images
Romain Modzelewski, Elise Janvresse, Thierry de la Rue, et al.
Journal of Imaging
|
May 27, 2022
Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction
Amine Amyar, Romain Modzelewski, Pierre Vera, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
December 29, 2009
Brain perfusion heterogeneity measurement based on Random Walk algorithm: choice and influence of inner parameters
Romain Modzelewski, Elise Janvresse, Thierry de la Rue, et al.
Computers in Biology and Medicine
|
October 28, 2022
Multi-task multi-scale learning for outcome prediction in 3D PET images
Amine Amyar, Romain Modzelewski, Pierre Vera, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
January 10, 2015
Areas of high 18F-FDG uptake on preradiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for non-small cell lung cancer
Jérémie Calais, Sébastien Thureau, Bernard Dubray, et al.
European Radiology
|
January 30, 2022
Deep learning analysis of contrast-enhanced spectral mammography to determine histoprognostic factors of malignant breast tumours
Caroline Dominique, Françoise Callonnec, Anca Berghian, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
March 22, 2023
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning
Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, et al.
International Journal of Radiation Oncology, Biology, Physics
|
November 24, 2022
Assessing Interobserver Variability in the Delineation of Structures in Radiation Oncology: A Systematic Review
Leslie Guzene, Arnaud Beddok, Christophe Nioche, et al.
Computers in Biology and Medicine
|
May 31, 2017
Spotting L3 slice in CT scans using deep convolutional network and transfer learning
Soufiane Belharbi, Clément Chatelain, Romain Hérault, et al.
Page
of 6