Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Apr 24, 2026
Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Apr 24, 2026
In the field of chemistry, machine learning is widely used to develop desired properties and activities y of compounds and products from experimental conditions x. As y is measured several times, a mathematical model is constructed with y as the aver... read more
Face perception is fundamental to human social interaction, relying on the dynamic allocation of visual attention to facial features across natural variations in poses, expressions, lighting and context-critical factors for real-world face perception... read more
Cognitive diagnosis is a fundamental issue in the field of intelligent education, aiming to identify students' mastery of specific knowledge concepts. With computerized testing, response time (RT) is a process data that can be collected. Incorporatin... read more
International journal of computer assisted radiology and surgery
Apr 24, 2026
PURPOSE: Image-guided robot-assisted partial nephrectomy (RAPN) that incorporates three-dimensional (3D) models has improved both oncological and functional outcomes. However, registration between the physical endoscopic image and the 3D virtual mode... read more
International journal of computer assisted radiology and surgery
Apr 24, 2026
PURPOSE: Digital Subtraction Angiography (DSA) is an X-ray-based imaging modality intimately related to minimally invasive procedures in interventional radiology, cardiology, vascular and neurologic surgery. Emulating tomographic methods like 3D vess... read more
For pharmacovigilance, the Pharmaceuticals and Medical Devices Agency in Japan has utilized real world data (RWD) from multiple sources, including individual case safety reports, and medical information databases that capture routinely collected data... read more
Graph Neural Networks (GNNs) have emerged as a novel paradigm that enables scientists to model complex relational data in medical applications, offering unique advantages over traditional deep learning (DL) approaches for non-Euclidean domains. This ... read more
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