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International Journal of Immunopathology and Pharmacology
|
August 4, 2021
Positron emission tomography and single photon emission computed tomography imaging of tertiary lymphoid structures during the development of lupus nephritis
Esmaeil S Dorraji, Ana Oteiza, Samuel Kuttner, et al.
Biomedical Physics & Engineering Express
|
January 13, 2021
Machine learning derived input-function in a dynamic <sup>18</sup>F-FDG PET study of mice
Samuel Kuttner, Kristoffer Knutsen Wickstrøm, Gustav Kalda, et al.
European Journal of Radiology
|
April 28, 2026
Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, et al.
Scientific Reports
|
December 16, 2025
Radiomics-based quantification of tumor infiltration in the non-enhancing peritumoral region on postoperative MRI is associated with survival in glioblastoma
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, et al.
British Journal of Cancer
|
August 4, 2017
The interplay of matrix metalloproteinase-8, transforming growth factor-β1 and vascular endothelial growth factor-C cooperatively contributes to the aggressiveness of oral tongue squamous cell carcinoma
Pirjo Åström, Krista Juurikka, Elin S Hadler-Olsen, et al.
Cancers
|
March 29, 2023
Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI
Santiago Cepeda, Luigi Tommaso Luppino, Angel Pérez-Núñez, et al.
Neuro-Oncology
|
April 21, 2026
Prospective biopsy-controlled validation of an AI model for predicting glioblastoma infiltration: Results from the SupraGlio trial
Santiago Cepeda, Elena Hernando-Pérez, Enrique Pérez-Riesgo, et al.
Neuro-Oncology Advances
|
December 11, 2024
Deep learning-based postoperative glioblastoma segmentation and extent of resection evaluation: Development, external validation, and model comparison
Santiago Cepeda, Roberto Romero, Lidia Luque, et al.
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of 2
Search research articles
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Showing results (11-20 of 18) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 18 results.
International Journal of Immunopathology and Pharmacology
|
August 4, 2021
Positron emission tomography and single photon emission computed tomography imaging of tertiary lymphoid structures during the development of lupus nephritis
Esmaeil S Dorraji, Ana Oteiza, Samuel Kuttner, et al.
Biomedical Physics & Engineering Express
|
January 13, 2021
Machine learning derived input-function in a dynamic <sup>18</sup>F-FDG PET study of mice
Samuel Kuttner, Kristoffer Knutsen Wickstrøm, Gustav Kalda, et al.
European Journal of Radiology
|
April 28, 2026
Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, et al.
Scientific Reports
|
December 16, 2025
Radiomics-based quantification of tumor infiltration in the non-enhancing peritumoral region on postoperative MRI is associated with survival in glioblastoma
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, et al.
British Journal of Cancer
|
August 4, 2017
The interplay of matrix metalloproteinase-8, transforming growth factor-β1 and vascular endothelial growth factor-C cooperatively contributes to the aggressiveness of oral tongue squamous cell carcinoma
Pirjo Åström, Krista Juurikka, Elin S Hadler-Olsen, et al.
Cancers
|
March 29, 2023
Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI
Santiago Cepeda, Luigi Tommaso Luppino, Angel Pérez-Núñez, et al.
Neuro-Oncology
|
April 21, 2026
Prospective biopsy-controlled validation of an AI model for predicting glioblastoma infiltration: Results from the SupraGlio trial
Santiago Cepeda, Elena Hernando-Pérez, Enrique Pérez-Riesgo, et al.
Neuro-Oncology Advances
|
December 11, 2024
Deep learning-based postoperative glioblastoma segmentation and extent of resection evaluation: Development, external validation, and model comparison
Santiago Cepeda, Roberto Romero, Lidia Luque, et al.
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of 2