Latest AI and machine learning research in brain cancer for healthcare professionals.
Cancer driver mutations shape the tumor microenvironment (TME), yet whether TME composition alone ca...
Standard Test-Time Adaptation (TTA) methods typically treat inference as a blind optimization task, ...
Primary central nervous system lymphoma (PCNSL) is a subtype of diffuse large B-cell lymphoma (DLBCL...
Computed Tomography (CT) is one of the largest contributors to radiation exposure from medical imagi...
Vision Transformers (ViTs) have emerged as the state-of-the-art architecture in representation learn...
Widespread screening for Adolescent Idiopathic Scoliosis (AIS) is critical for timely intervention b...
Accurate prognosis for Glioblastoma (GBM) using deep learning (DL) is hindered by extreme spatial an...
Modern segmentation models achieve strong predictive performance but remain largely opaque, limiting...
Quantitative imaging methods, such as magnetic resonance fingerprinting (MRF), aim to extract interp...
Gliomas are placing an increasingly clinical burden on Sub-Saharan Africa (SSA). In the region, the ...
Background Distinguishing individuals with cognitive decline (CD), including early Alzheimers diseas...
This study proposes an efficient Densely Swin Hybrid (EDSH) framework for brain tumor MRI analysis, ...
Glycosphingolipids (GSLs) are essential components of biological membranes with important roles in c...
In the deformation measurement of high-temperature structures, image degradation caused by thermal r...
Glioblastoma, IDH-wildtype (GBM-IDHwt) is the most common malignant brain tumor. Histomorphology is ...
Accurate segmentation of brain tumors is essential for clinical diagnosis and treatment planning. De...
Background/ObjectivesHead and neck cancer (HNC) represents the seventh most common cancer diagnosis ...
Brain tumors are among the most lethal cancers with gliomas representing the most morphologically co...
Medical image segmentation remains a critical bottleneck in clinical workflows, from diagnostic radi...
Dramatic strides have been made in real-time adaptive radiation therapy, where treating single tumor...
F3-Net is a foundation model designed to overcome persistent challenges in clinical medical image ...