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.
Text-conditioned image editing has recently attracted considerable interest. To better assess performance, we introduce TEdBench, a highly challenging image editing benchmark.
Biological systems are immensely complex, organized into a multi-scale hierarchy of functional units based on tightly regulated interactions between distinct molecules, cells, organs, and organisms. W...
Two-branch network architecture has shown its efficiency and effectiveness in real-time semantic segmentation tasks. Our family of PIDNets achieve the best trade-off between inference speed and accura...
Recent large-scale text-guided diffusion models provide powerful image generation capabilities. This allows for keeping both the model weights and the conditional embedding intact and hence enables ap...
The nervous system regulates tissue stem and precursor populations throughout life. Such cross-talk among the nervous system, immune system and cancer-both systemically and in the local tumour microen...
Driven by co-evolution with pathogens, host immunity continuously adapts to optimize defence against pathogens within a given environment. Finally, we discuss some of the current evidence as to how sp...
Abstract The stability and resilience of the Earth system and human well-being are inseparably linked 1–3 , yet their interdependencies are generally under-recognized; consequently, they are often tre...
This research explores Transfer learning enables predictions in network biology, contributing new insights to the field of Artificial Intelligence.
Multi-sensor fusion is essential for an accurate and reliable autonomous driving system. It establishes the new state of the art on the nuScenes benchmark, achieving 1.3% higher mAP and NDS on 3D obje...
Abstract Horizon-scale images of black holes (BHs) and their shadows have opened an unprecedented window onto tests of gravity and fundamental physics in the strong-field regime. We demonstrate that t...
According to numerous reports, ChatGPT represents a significant breakthrough in the field of artificial intelligence. Notably, this article presents the first comprehensive literature review of this t...
This research explores Dictionary learning for integrative, multimodal and scalable..., contributing new insights to the field of Artificial Intelligence.
Blood-brain barrier (BBB) is a natural protective membrane that prevents central nervous system (CNS) from toxins and pathogens in blood. Versatile drug delivery systems ranging from organic, inorgani...
This research explores Inverted perovskite solar cells using dimethylacridine-based..., contributing new insights to the field of Engineering & Technology.
Scientific simulation codes are public property sustained by the community. This review describes a collection of computational methods and techniques implemented in these codes and shows their implem...
This research explores Neuroimaging standards for research into small vessel diseas..., contributing new insights to the field of Medicine & Biology.
This research explores Diffusion models in medical imaging: A comprehensive survey, contributing new insights to the field of Artificial Intelligence.
Background: Low back pain is highly prevalent and the main cause of years lived with disability (YLDs). Challenges persist in obtaining primary country-level data on low back pain, and there is an urg...
AIM: The "2023 Guideline for the Management of Patients With Aneurysmal Subarachnoid Hemorrhage" replaces the 2012 "Guidelines for the Management of Aneurysmal Subarachnoid Hemorrhage." The 2023 guide...
Patient and Public Involvement (PPI) in clinical trial research is recognised as relevant but the active involvement of patients and the public in basic science or laboratory-based research is seen as...