Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
Purpose To present a deep learning segmentation model that can automatically and robustly segment all major anatomic structures on body CT images. Keywords: CT, Segmentation, Neural Networks Supplemen...
Reinforcement learning is a learning paradigm for solving sequential decision-making problems. Specifically, we provide a framework for categorizing the advanced transfer learning approaches, under wh...
Artificial intelligence (A.I.) is a multidisciplinary field aimed at automating tasks that currently need human intelligence.Despite its lack of general familiarity, artificial intelligence (AI) is a...
Importance: Approximately 18.6 million people worldwide are affected by a diabetic foot ulcer each year, including 1.6 million people in the United States. Conclusions and Relevance: Diabetic foot ulc...
Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder and colleagues, Citation2019). In recent years, AI has made a comeback with the introduction of AlphaG...
This research explores Model reduction for nonlinear dynamical systems using deep c..., contributing new insights to the field of Artificial Intelligence.
X-ray photoelectron spectroscopy (XPS) is widely used to determine the chemical and electronic states of atoms within a material. Additionally, the 531 eV binding energy feature often ascribed to oxyg...
Breakthroughs in materials science are the driving force behind many of today's industrial advancements in our fast-changing high-tech world. Various methods, such as alkaline, silane, or other chemic...
Abstract ChatGPT and its variants that use generative artificial intelligence (AI) models have rapidly become a focal point in academic and media discussions about their potential benefits and drawbac...
The possibility of establishing a metric of individual genetic risk for a particular disease or trait has sparked the interest of the clinical and research communities, with many groups developing and...
As Nature Neuroscience celebrates its 25th anniversary, we are having conversations with both established leaders in the field and those earlier in their careers to discuss how neuroscience has evolve...
Vaccines are among the greatest tools for prevention and control of disease. Recent technological advances, in genomics, structural biology, and human immunology have transformed vaccine development,...
Single cell genomics has revolutionized our ability to map immune heterogeneity and responses. In this review, we highlight single cell methods and principles for learning geometric and topological pr...
This research explores Quantum physics in one dimension, contributing new insights to the field of Physics & Space Science.
We present the results of the search for an isotropic stochastic gravitational wave background (GWB) at nanohertz frequencies using the second data release of the European Pulsar Timing Array (EPTA) f...
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Abstract We report multiple lines of evidence for a stochastic signal that is correlated among 67 pulsars from the 15 yr pulsar timing data set collected by the North American Nanohertz Observatory fo...
Abstract Pulsar timing arrays aim to detect nanohertz-frequency gravitational waves (GWs). For a process with α = −2/3, we measure spatial correlations consistent with a GWB, with an estimated false-a...
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Abstract The 15 yr pulsar timing data set collected by the North American Nanohertz Observatory for Gravitational Waves (NANOGrav) shows positive evidence for the presence of a low-frequency gravitati...