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Blood Advances
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August 9, 2020
Improving the antitumor activity of R-CHOP with NGR-hTNF in primary CNS lymphoma: final results of a phase 2 trial
Andrés J M Ferreri, Teresa Calimeri, Maurilio Ponzoni, et al.
Neuro-Oncology Advances
|
July 25, 2025
Dissecting the biology of gliomagenesis: Evaluating the interaction between <i>IDH</i> tumor mutation and germline variants
Matthew L Kosel, Paul A Decker, Thomas M Kollmeyer, et al.
AJNR. American Journal of Neuroradiology
|
September 28, 2023
Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction
Jan Lost, Tej Verma, Leon Jekel, et al.
Cancer Research Communications
|
May 4, 2026
MRI Deep Learning for Differentiating Glioblastoma, IDH-Wildtype from Central Nervous System Diffuse Large B-cell Lymphoma
Mana Moassefi, Paul A Decker, Gian Marco Conte, et al.
BMC Medical Informatics and Decision Making
|
July 8, 2020
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status
Carole H Sudre, Jasmina Panovska-Griffiths, Eser Sanverdi, et al.
Mayo Clinic Proceedings. Digital Health
|
March 9, 2026
State of the AI: Post-Deployment Monitoring of Radiology-Focused Internally Developed AI
Cole J Cook, Jason R Klug, Blaize W Kandler, et al.
Arxiv
|
July 3, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)</i>
Maruf Adewole, Jeffrey D Rudie, Anu Gbdamosi, et al.
Arxiv
|
August 23, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, et al.
Arxiv
|
August 23, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>
Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu, et al.
Arxiv
|
June 9, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023:
Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, et al.
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Search research articles
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Showing results (81-90 of 93) with videos related to
Sort By:
Page
of 10
Blood Advances
|
August 9, 2020
Improving the antitumor activity of R-CHOP with NGR-hTNF in primary CNS lymphoma: final results of a phase 2 trial
Andrés J M Ferreri, Teresa Calimeri, Maurilio Ponzoni, et al.
Neuro-Oncology Advances
|
July 25, 2025
Dissecting the biology of gliomagenesis: Evaluating the interaction between <i>IDH</i> tumor mutation and germline variants
Matthew L Kosel, Paul A Decker, Thomas M Kollmeyer, et al.
AJNR. American Journal of Neuroradiology
|
September 28, 2023
Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction
Jan Lost, Tej Verma, Leon Jekel, et al.
Cancer Research Communications
|
May 4, 2026
MRI Deep Learning for Differentiating Glioblastoma, IDH-Wildtype from Central Nervous System Diffuse Large B-cell Lymphoma
Mana Moassefi, Paul A Decker, Gian Marco Conte, et al.
BMC Medical Informatics and Decision Making
|
July 8, 2020
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status
Carole H Sudre, Jasmina Panovska-Griffiths, Eser Sanverdi, et al.
Mayo Clinic Proceedings. Digital Health
|
March 9, 2026
State of the AI: Post-Deployment Monitoring of Radiology-Focused Internally Developed AI
Cole J Cook, Jason R Klug, Blaize W Kandler, et al.
Arxiv
|
July 3, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)</i>
Maruf Adewole, Jeffrey D Rudie, Anu Gbdamosi, et al.
Arxiv
|
August 23, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, et al.
Arxiv
|
August 23, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>
Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu, et al.
Arxiv
|
June 9, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023:
Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, et al.
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