Timepoint-Specific Benchmarking of Deep Learning Models for Glioblastoma Follow-Up MRI

These results establish a timepoint-aware benchmark and motivate future work incorporating longitudinal modeling, multi-sequence MRI, and larger multi-center cohorts.

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Publication Details

Journal
Cancers
Published
2025-12-22
DOI
https://doi.org/10.3390/cancers18010036
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Timepoint-Specific Benchmarking of Deep Learning Models for Glioblastoma Follow-Up MRI

Golrokh Mirzaei, Wenhao Guo
Cancers
Glioma Diagnosis and Treatment
article

Timepoint-Specific Benchmarking of Deep Learning Models for Glioblastoma Follow-Up MRI

Golrokh Mirzaei, Wenhao Guo
article en

Abstract

These results establish a timepoint-aware benchmark and motivate future work incorporating longitudinal modeling, multi-sequence MRI, and larger multi-center cohorts.

CancersVol. 18(1)
The Ohio State University (US)
Ohio State University
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 27%
Glioma Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
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