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Scientific Reports
|
February 28, 2024
Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach
Jun Guo, Anahita Fathi Kazerooni, Erik Toorens, et al.
Cancer
|
March 5, 2020
Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma
Hamed Akbari, Saima Rathore, Spyridon Bakas, et al.
Neuro-Oncology Advances
|
February 1, 2021
Multi-institutional noninvasive in vivo characterization of <i>IDH</i>, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)
Saima Rathore, Suyash Mohan, Spyridon Bakas, et al.
Scientific Reports
|
May 24, 2022
Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma
Anahita Fathi Kazerooni, Sanjay Saxena, Erik Toorens, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
December 22, 2022
Distinguishing Progression from Pseudoprogression in Glioblastoma Using <sup>18</sup>F-Fluciclovine PET
Ali Nabavizadeh, Stephen J Bagley, Robert K Doot, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
November 1, 2019
Clinical Utility of Plasma Cell-Free DNA in Adult Patients with Newly Diagnosed Glioblastoma: A Pilot Prospective Study
Stephen J Bagley, S Ali Nabavizadeh, Jazmine J Mays, et al.
Science Translational Medicine
|
July 21, 2017
A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma
Donald M O'Rourke, MacLean P Nasrallah, Arati Desai, et al.
Communications Medicine
|
March 2, 2025
The radiogenomic and spatiogenomic landscapes of glioblastoma and their relationship to oncogenic drivers
Anahita Fathi Kazerooni, Hamed Akbari, Xiaoju Hu, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 19, 2026
Metabolic Imaging and Molecular Signatures Reveal Metabolic Phenotypes in Recurrent Glioblastoma
Elizabeth J Li, Adam Kraya, Pedro Costa-Pinheiro, et al.
The Lancet. Oncology
|
February 5, 2026
Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective study
H Lalchungnunga, Christopher H Dampier, Omkar Singh, et al.
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Search research articles
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Showing results (91-100 of 124) with videos related to
Sort By:
Page
of 13
Scientific Reports
|
February 28, 2024
Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach
Jun Guo, Anahita Fathi Kazerooni, Erik Toorens, et al.
Cancer
|
March 5, 2020
Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma
Hamed Akbari, Saima Rathore, Spyridon Bakas, et al.
Neuro-Oncology Advances
|
February 1, 2021
Multi-institutional noninvasive in vivo characterization of <i>IDH</i>, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)
Saima Rathore, Suyash Mohan, Spyridon Bakas, et al.
Scientific Reports
|
May 24, 2022
Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma
Anahita Fathi Kazerooni, Sanjay Saxena, Erik Toorens, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
December 22, 2022
Distinguishing Progression from Pseudoprogression in Glioblastoma Using <sup>18</sup>F-Fluciclovine PET
Ali Nabavizadeh, Stephen J Bagley, Robert K Doot, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
November 1, 2019
Clinical Utility of Plasma Cell-Free DNA in Adult Patients with Newly Diagnosed Glioblastoma: A Pilot Prospective Study
Stephen J Bagley, S Ali Nabavizadeh, Jazmine J Mays, et al.
Science Translational Medicine
|
July 21, 2017
A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma
Donald M O'Rourke, MacLean P Nasrallah, Arati Desai, et al.
Communications Medicine
|
March 2, 2025
The radiogenomic and spatiogenomic landscapes of glioblastoma and their relationship to oncogenic drivers
Anahita Fathi Kazerooni, Hamed Akbari, Xiaoju Hu, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 19, 2026
Metabolic Imaging and Molecular Signatures Reveal Metabolic Phenotypes in Recurrent Glioblastoma
Elizabeth J Li, Adam Kraya, Pedro Costa-Pinheiro, et al.
The Lancet. Oncology
|
February 5, 2026
Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective study
H Lalchungnunga, Christopher H Dampier, Omkar Singh, et al.
Page
of 13