English
Related papers

Related papers: Optimizing Prediction of MGMT Promoter Methylation…

200 papers

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

Glioblastoma (GBM) is one of the most aggressive and lethal human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for treatment. Biopsy is invasive, which motivates the development of non-invasive, MRI-based…

Glioblastoma is a highly aggressive and lethal form of brain cancer. Magnetic resonance imaging (MRI) plays a significant role in the diagnosis, treatment planning, and follow-up of glioblastoma patients due to its non-invasive and…

Quantitative Methods · Quantitative Biology 2023-11-16 Ibrahim Ethem Hamamci

We propose predictive models that estimate GBM patients' health status of one-year after treatments (Classification task), predict the long-term prognosis of GBM patients at an individual level (Survival task). We used total of 467 GBM…

Machine Learning · Computer Science 2021-09-10 Yeseul Kim , Kyung Hwan Kim , Junyoung Park , Hong In Yoon , Wonmo Sung

Gliomas are the most common malignant brain tumors in adults and are among the most lethal. Despite aggressive treatment, the median survival rate is less than 15 months. Accurate multiparametric MRI (mpMRI) tumor segmentation is critical…

Glioblastoma multiforme (GBM), the most aggressive primary brain tumour, exhibits low survival rates due to its rapid growth, infiltrates surrounding brain tissue, and is highly resistant to treatment. One major challenge is oedema…

Glioblastoma (GBM) is the most common aggressive, fast-growing brain tumor, with a grim prognosis. Despite clinical diagnostic advancements, there have not been any substantial improvements to patient prognosis. Histopathological assessment…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 Sanyukta Adap , Ujjwal Baid , Spyridon Bakas

Gliomas are the most common malignant primary brain tumors in adults and one of the deadliest types of cancer. There are many challenges in treatment and monitoring due to the genetic diversity and high intrinsic heterogeneity in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Maria Correia de Verdier , Rachit Saluja , Louis Gagnon , Dominic LaBella , Ujjwall Baid , Nourel Hoda Tahon , Martha Foltyn-Dumitru , Jikai Zhang , Maram Alafif , Saif Baig , Ken Chang , Gennaro D'Anna , Lisa Deptula , Diviya Gupta , Muhammad Ammar Haider , Ali Hussain , Michael Iv , Marinos Kontzialis , Paul Manning , Farzan Moodi , Teresa Nunes , Aaron Simon , Nico Sollmann , David Vu , Maruf Adewole , Jake Albrecht , Udunna Anazodo , Rongrong Chai , Verena Chung , Shahriar Faghani , Keyvan Farahani , Anahita Fathi Kazerooni , Eugenio Iglesias , Florian Kofler , Hongwei Li , Marius George Linguraru , Bjoern Menze , Ahmed W. Moawad , Yury Velichko , Benedikt Wiestler , Talissa Altes , Patil Basavasagar , Martin Bendszus , Gianluca Brugnara , Jaeyoung Cho , Yaseen Dhemesh , Brandon K. K. Fields , Filip Garrett , Jaime Gass , Lubomir Hadjiiski , Jona Hattangadi-Gluth , Christopher Hess , Jessica L. Houk , Edvin Isufi , Lester J. Layfield , George Mastorakos , John Mongan , Pierre Nedelec , Uyen Nguyen , Sebastian Oliva , Matthew W. Pease , Aditya Rastogi , Jason Sinclair , Robert X. Smith , Leo P. Sugrue , Jonathan Thacker , Igor Vidic , Javier Villanueva-Meyer , Nathan S. White , Mariam Aboian , Gian Marco Conte , Anders Dale , Mert R. Sabuncu , Tyler M. Seibert , Brent Weinberg , Aly Abayazeed , Raymond Huang , Sevcan Turk , Andreas M. Rauschecker , Nikdokht Farid , Philipp Vollmuth , Ayman Nada , Spyridon Bakas , Evan Calabrese , Jeffrey D. Rudie

Non-invasive inference of molecular tumor characteristics from medical imaging is a central goal of radiogenomics, particularly in glioblastoma (GBM), where O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation carries…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Mariya Miteva , Maria Nisheva-Pavlova

Background: This research aims to improve glioblastoma survival prediction by integrating MR images, clinical and molecular-pathologic data in a transformer-based deep learning model, addressing data heterogeneity and performance…

Multimodal MRI is essential for brain tumor segmentation, yet missing modalities in clinical practice cause existing methods to exhibit >40% performance variance across modality combinations, rendering them clinically unreliable. We propose…

Image and Video Processing · Electrical Eng. & Systems 2026-01-28 Chengxiang Guo , Jian Wang , Junhua Fei , Xiao Li , Chunling Chen , Yun Jin

Glioblastoma Multiforme is a very aggressive type of brain tumor. Due to spatial and temporal intra-tissue inhomogeneity, location and the extent of the cancer tissue, it is difficult to detect and dissect the tumor regions. In this paper,…

Image and Video Processing · Electrical Eng. & Systems 2021-01-27 Snehal Rajput , Rupal Agravat , Mohendra Roy , Mehul S Raval

Glioblastoma is one of the most aggressive and common brain tumors, with a median survival of 10-15 months. Predicting Overall Survival (OS) is critical for personalizing treatment strategies and aligning clinical decisions with patient…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Yin Lin , Riccardo Barbieri , Domenico Aquino , Giuseppe Lauria , Marina Grisoli , Elena De Momi , Alberto Redaelli , Simona Ferrante

Gliomas are the most common malignant brain tumourswith intrinsic heterogeneity. Accurate segmentation of gliomas and theirsub-regions on multi-parametric magnetic resonance images (mpMRI)is of great clinical importance, which defines…

Image and Video Processing · Electrical Eng. & Systems 2019-11-21 Shuo Wang , Chengliang Dai , Yuanhan Mo , Elsa Angelini , Yike Guo , Wenjia Bai

Brain metastases are a complication of primary cancer, representing the most common type of brain tumor in adults. The management of multiple brain metastases represents a clinical challenge worldwide in finding the optimal treatment for…

Image and Video Processing · Electrical Eng. & Systems 2024-03-28 Ana Sofia Santos , Matheus Silva , Crystian Saraiva , José Soares , Victor Alves

Glioblastoma, a highly aggressive brain tumor with diverse molecular and pathological features, poses a diagnostic challenge due to its heterogeneity. Accurate diagnosis and assessment of this heterogeneity are essential for choosing the…

Image and Video Processing · Electrical Eng. & Systems 2025-07-25 Juexin Zhang , Ying Weng , Ke 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

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

Brain metastases affect approximately between 20% and 40% of cancer patients and are commonly treated with radiotherapy or radiosurgery. Early prediction of recurrence following treatment could enable timely clinical intervention and…

Image and Video Processing · Electrical Eng. & Systems 2025-12-18 Ines Faria , Matheus Silva , Crystian Saraiva , Jose Soares , Victor Alves

Glioblastoma Multiforme is a high grade, very aggressive, brain tumor, with patients having a poor prognosis. Lower grade gliomas are less aggressive, but they can evolve into higher grade tumors over time. Patient management and treatment…

Computer Vision and Pattern Recognition · Computer Science 2018-11-01 Sergio Pereira , Raphael Meier , Victor Alves , Mauricio Reyes , Carlos A. Silva