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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis.
Neuroimage
January 2025
College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China; Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. Electronic address:
Dynamic brain networks (DBNs) can capture the intricate connections and temporal evolution among brain regions, becoming increasingly crucial in the diagnosis of neurological disorders. However, most existing researches tend to focus on isolated brain network sequence segmented by sliding windows, and they are difficult to effectively uncover the higher-order spatio-temporal topological pattern in DBNs. Meantime, it remains a challenge to utilize the structure connectivity prior in the DBNs analysis.
View Article and Find Full Text PDFMeasurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion.
Med Image Anal
January 2025
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200040, China; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200040, China; Department of Radiology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address:
The anisotropic mechanical properties of fiber-embedded biological tissues are essential for understanding their development, aging, disease progression, and response to therapy. However, accurate and fast assessment of mechanical anisotropy in vivo using elastography remains challenging. To address the dilemma of achieving both accuracy and efficiency in this inverse problem involving complex wave equations, we propose a computational framework that utilizes the traveling wave expansion model.
View Article and Find Full Text PDFPET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response prediction.
Comput Med Imaging Graph
December 2024
Nantes Université, Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France.
Diffuse Large B-cell Lymphoma (DLBCL) is a lymphatic cancer of steadily growing incidence. Its diagnostic and follow-up rely on the analysis of clinical biomarkers and 18F-Fluorodeoxyglucose (FDG)-PET/CT images. In this context, we target the problem of assisting in the early identification of high-risk DLBCL patients from both images and tabular clinical data.
View Article and Find Full Text PDFDevelopment and Evaluation of an Automated Multimodal Mobile Detection of Oral Cancer (mDOC) Imaging System to Aid in Risk-based Management of Oral Mucosal Lesions.
Cancer Prev Res (Phila)
January 2025
Rice University, Houston, Texas, United States.
Oral cancer is a major global health problem. It is commonly diagnosed at an advanced stage although often preceded by clinically visible oral mucosal lesions, termed oral potentially malignant disorders associated with an increased risk for oral cancer development. There is an unmet clinical need for effective screening tools to assist front-line healthcare providers to determine which patients should be referred to an oral cancer specialist for evaluation.
View Article and Find Full Text PDFArthroscopy is a minimally invasive surgical procedure used to diagnose and treat joint problems. The clinical workflow of arthroscopy typically involves inserting an arthroscope into the joint through a small incision, during which surgeons navigate and operate largely by relying on their visual assessment through the arthroscope. However, the arthroscope's restricted field of view and lack of depth perception pose challenges in navigating complex articular structures and achieving surgical precision during procedures.
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