AIMC Topic: Deep Learning
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A novel framework for inferring dynamic infectious disease transmission with graph attention: a COVID-19 case study in Korea.
BMC public health
May 22, 2025
INTRODUCTION: Epidemic modeling is crucial for understanding and predicting infectious disease spread. To capture the complexity of real-world transmission, dynamic interactions between individuals with spatial heterogeneity must be considered. This ...
Imputing single-cell protein abundance in multiplex tissue imaging.
Nature communications
May 22, 2025
Multiplex tissue imaging enables single-cell spatial proteomics and transcriptomics but remains limited by incomplete molecular profiling, tissue loss, and probe failure. Here, we apply machine learning to impute single-cell protein abundance using m...
Revealing 3D microanatomical structures of unlabeled thick cancer tissues using holotomography and virtual H&E staining.
Nature communications
May 22, 2025
In histopathology, acquiring subcellular-level three-dimensional (3D) tissue structures efficiently and without damaging the tissues during serial sectioning and staining remains a formidable challenge. We address this by integrating holotomography w...
Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education.
JMIR human factors
May 22, 2025
Traditional medical education encounters several challenges. The introduction of advanced facial expression recognition technology offers a new approach to address these issues. The aim of the study is to propose a medical education-assisted teaching...
EFCRFNet: A novel multi-scale framework for salient object detection.
PloS one
May 22, 2025
Salient Object Detection (SOD) is a fundamental task in computer vision, aiming to identify prominent regions within images. Traditional methods and deep learning-based models often encounter challenges in capturing crucial information in complex sce...
Performance of multimodal prediction models for intracerebral hemorrhage outcomes using real-world data.
International journal of medical informatics
May 21, 2025
BACKGROUND: We aimed to develop and validate multimodal models integrating computed tomography (CT) images, text and tabular clinical data to predict poor functional outcomes and in-hospital mortality in patients with intracerebral hemorrhage (ICH). ...
Prototype-guided and dynamic-aware video anomaly detection.
Neural networks : the official journal of the International Neural Network Society
May 21, 2025
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns via frame reconstruction or prediction and assumes that anomalies deviate form the learned normal mode...
Emergence of human-like attention and distinct head clusters in self-supervised vision transformers: A comparative eye-tracking study.
Neural networks : the official journal of the International Neural Network Society
May 21, 2025
Visual attention models aim to predict human gaze behavior, yet traditional saliency models and deep gaze prediction networks face limitations. Saliency models rely on handcrafted low-level visual features, often failing to capture human gaze dynamic...
Visual reasoning in object-centric deep neural networks: A comparative cognition approach.
Neural networks : the official journal of the International Neural Network Society
May 21, 2025
Achieving visual reasoning is a long-term goal of artificial intelligence. In the last decade, several studies have applied deep neural networks (DNNs) to the task of learning visual relations from images, with modest results in terms of generalizati...
Automatic adult age estimation using bone mineral density of proximal femur via deep learning.
Forensic science international
May 21, 2025
Accurate adult age estimation (AAE) is critical for forensic and anthropological applications, yet traditional methods relying on bone mineral density (BMD) face significant challenges due to biological variability and methodological limitations. Thi...
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