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Accurate prognosis for Glioblastoma (GBM) using deep learning (DL) is hindered by extreme spatial and structural heterogeneity. Moreover, inconsistent MRI acquisition protocols across institutions hinder generalizability of models.…

Machine Learning · Computer Science 2026-02-13 Ankita Paul , Wenyi Wang

Glioma, a prevalent and heterogeneous tumor originating from the glial cells, can be differentiated as Low Grade Glioma (LGG) and High Grade Glioma (HGG) according to World Health Organization's norms. Classifying gliomas is essential for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-03 Kiranmayee Janardhan , Christy Bobby Thomas

Glioblastoma is profoundly heterogeneous in microstructure and vasculature, which may lead to tumor regional diversity and distinct treatment response. Although successful in tumor sub-region segmentation and survival prediction, radiomics…

Image and Video Processing · Electrical Eng. & Systems 2021-09-30 Yifan Li , Chao Li , Stephen Price , Carola-Bibiane Schönlieb , Xi Chen

Glioblastoma multiforme (GBM) is an aggressive form of human brain cancer that is under active study in the field of cancer biology. Its rapid progression and the relative time cost of obtaining molecular data make other readily-available…

Applications · Statistics 2019-11-14 Lorin Crawford , Anthea Monod , Andrew X. Chen , Sayan Mukherjee , Raúl Rabadán

Precise prognostic modeling of glioblastoma (GBM) under varying treatment interventions is essential for optimizing clinical outcomes. While generative AI has shown promise in simulating GBM evolution, existing methods typically treat…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Chenhui Wang , Boyun Zheng , Liuxin Bao , Zhihao Peng , Peter Y. M. Woo , Hongming Shan , Yixuan Yuan

Glioblastoma is a highly invasive brain tumor, whose cells infiltrate surrounding normal brain tissue beyond the lesion outlines visible in the current medical scans. These infiltrative cells are treated mainly by radiotherapy. Existing…

Glioblastoma Multiforme (GBM) is a malignant brain cancer forming around 48% of al brain and Central Nervous System (CNS) cancers. It is estimated that annually over 13,000 deaths occur in the US due to GBM, making it crucial to have early…

Image and Video Processing · Electrical Eng. & Systems 2022-01-28 Sauman Das

Glioblastoma (GBM) is an aggressive brain tumor in which IDH mutation status is a key prognostic biomarker, but traditional testing requires invasive biopsies, emphasizing the need for non-invasive approaches. In this multi-center study, we…

Glioblastoma (GBM) is a highly aggressive primary brain tumor with limited therapeutic options and poor prognosis. The methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) gene promoter is a critical molecular biomarker…

Machine Learning · Computer Science 2026-01-13 Hasan M Jamil

Glioblastoma is among the most aggressive brain tumors in adults, characterized by patient-specific invasion patterns driven by the underlying brain microstructure. In this work, we present a proof-of-concept for a mathematical model of GBL…

Image and Video Processing · Electrical Eng. & Systems 2025-06-23 D. Cerrone , D. Riccobelli , S. Gazzoni , P. Vitullo , F. Ballarin , J. Falco , F. Acerbi , A. Manzoni , P. Zunino , P. Ciarletta

The aim of the systematic review was to assess recently published studies on diagnostic test accuracy of glioblastoma treatment response monitoring biomarkers in adults, developed through machine learning (ML). Articles were searched for…

The presence of MGMT promoter methylation significantly affects how well chemotherapy works for patients with Glioblastoma Multiforme (GBM). Currently, confirmation of MGMT promoter methylation relies on invasive brain tumor tissue…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Rawan Alyahya , Asrar Alruwayqi , Atheer Alqarni , Asma Alkhaldi , Metab Alkubeyyer , Xin Gao , Mona Alshahrani

Glioblastoma is a highly aggressive form of brain cancer characterized by rapid progression and poor prognosis. Despite advances in treatment, the underlying genetic mechanisms driving this aggressiveness remain poorly understood. In this…

Quantitative Methods · Quantitative Biology 2025-05-20 Ahmad Berjaoui , Louis Roussel , Eduardo Hugo Sanchez , Elizabeth Cohen-Jonathan Moyal

With the rise in importance of personalized medicine, we trained personalized neural networks to detect tumor progression in longitudinal datasets. The model was evaluated on two datasets with a total of 64 scans from 32 patients diagnosed…

Machine Learning · Computer Science 2022-10-28 Christian Strack , Kelsey L. Pomykala , Heinz-Peter Schlemmer , Jan Egger , Jens Kleesiek

Radiomic models have been shown to outperform clinical data for outcome prediction in glioblastoma (GBM). However, clinical implementation is limited by lack of parameters standardization. We aimed to compare nine machine learning…

Glioblastoma is the most malignant type of central nervous system tumor with GBM subtypes cleaved based on molecular level gene alterations. These alterations are also happened to affect the histology. Thus, it can cause visible changes in…

Quantitative Methods · Quantitative Biology 2020-10-28 Navodini Wijethilake , Mobarakol Islam , Dulani Meedeniya , Charith Chitraranjan , Indika Perera , Hongliang Ren

Glioblastoma is the most common and aggressive malignant adult tumor of the central nervous system, with a grim prognosis and heterogeneous morphologic and molecular profiles. Since adopting the current standard-of-care treatment 18 years…

Image and Video Processing · Electrical Eng. & Systems 2023-05-16 Bhakti Baheti , Sunny Rai , Shubham Innani , Garv Mehdiratta , Sharath Chandra Guntuku , MacLean P. Nasrallah , Spyridon Bakas

Gender disparities in health outcomes have garnered significant attention, prompting investigations into their underlying causes. Glioblastoma (GBM), a devastating and highly aggressive form of brain tumor, serves as a case for such…

Applications · Statistics 2023-08-09 Solomon Eshun

Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely used for the preliminary screening of gliomas and plays a crucial role in auxiliary diagnosis, therapeutic efficacy, and prognostic…

Image and Video Processing · Electrical Eng. & Systems 2025-05-27 Yihao Liu , Zhihao Cui , Liming Li , Junjie You , Xinle Feng , Jianxin Wang , Xiangyu Wang , Qing Liu , Minghua Wu

Glioblastoma (GBM) is an aggressive primary brain tumor with a median survival of approximately 15 months. In clinical practice, the Stupp protocol serves as the standard first-line treatment. However, patients exhibit highly heterogeneous…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Alexandre G. Leclercq , Sébastien Bougleux , Noémie N. Moreau , Alexis Desmonts , Romain Hérault , Aurélien Corroyer-Dulmont
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