Latest AI and machine learning research in radiology for healthcare professionals.
Purpose: Automated medical image-based prediction of clinical outcomes, such as overall survival (OS...
Multimodal imaging analysis often relies on joint latent representations, yet these approaches rarel...
We propose a geometric framework for longitudinal multi-parametric MRI analysis based on patient-spe...
Reliable interpretation of echocardiography (Echo) is crucial for assessing cardiac function, which ...
While much of the medical computer vision community has focused on advancing performance for specifi...
Time-resolved volumetric MR imaging that reconstructs a 3D MRI within sub-seconds to resolve deforma...
LLMs have demonstrated remarkable capabilities in linguistic reasoning and are increasingly adept at...
Background: Segmentation of the left ventricular myocardium, left ventricular cavity, and right vent...
Lumbar Spinal Stenosis (LSS) diagnosis remains a critical clinical challenge, with diagnosis heavily...
Ultrasound imaging is widely used in clinical diagnostics due to its real-time capability and radiat...
The rapid growth of medical imaging has fueled the development of Foundation Models (FMs) to reduce ...
Medical imaging aims to recover underlying tissue properties, using inexact (simplified/linearized) ...
Brain development follows a precisely regulated biological timetable, with defined periods of vulner...
Background: Accurate preoperative prediction of lymph node metastasis (LNM) in papillary thyroid car...
Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...
Background: Previous recommendations on screening for prostate cancer relied on ongoing trials of sc...
Biological staging models are a key tool for assessing the severity of Alzheimer's disease (AD), sup...
Background: Early breast cancer detection remains central to improving clinical outcomes, yet conven...
Accurate cardiac ultrasound segmentation is essential for reliable assessment of ventricular functio...
Thyroid nodule classification using ultrasound imaging is essential for early diagnosis and clinical...
The accurate classification of brain tumors from MRI scans is essential for effective diagnosis and ...