AIMC Topic: Deep Learning

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Deep learning-based evaluation of the severity of mitral regurgitation in canine myxomatous mitral valve disease patients using digital stethoscope recordings.

BMC veterinary research May 8, 2025
BACKGROUND: Myxomatous mitral valve disease (MMVD) represents the most prevalent cardiac disorder in dogs, frequently resulting in mitral regurgitation (MR) and congestive heart failure. Although echocardiography is the gold standard for diagnosis, i...
Stethoscopes Phonocardiography Dog Diseases Mitral Valve Insufficiency Neural Networks, Computer Female Severity of Illness Index Deep Learning Dogs Animals Male
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Distinct actin microfilament localization during early cell plate formation through deep learning-based image restoration.

Plant cell reports May 8, 2025
Using deep learning-based image restoration, we achieved high-resolution 4D imaging with minimal photodamage, revealing distinct localization and suggesting Lifeact-RFP-labeled actin microfilaments play a role in initiating cell plate formation. Phra...
Image Processing, Computer-Assisted Actins Actin Cytoskeleton Nicotiana Plants, Genetically Modified Deep Learning
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Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.

Biomolecules & biomedicine May 8, 2025
Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics. However, their diagnosis can be particularly challenging due to the anatomical characteristics and imaging features of the pediatric skeleton. In rec...
Deep Learning Child, Preschool Image Processing, Computer-Assisted Humeral Fractures Child Female Male Humans Neural Networks, Computer
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Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.

Journal of biomedical optics May 8, 2025
SIGNIFICANCE: Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in optical coherence tomography angiography (OCTA) can significantly improve early detection and monitoring of diabetic retinopathy (DR), a leading cause ...
Capillaries Image Interpretation, Computer-Assisted Retinal Vessels Neural Networks, Computer Image Processing, Computer-Assisted Male Tomography, Optical Coherence Female Middle Aged Deep Learning Humans Diabetic Retinopathy
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Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function.

Nature methods May 8, 2025
Subcellular diffusion in living systems reflects cellular processes and interactions. Recent advances in optical microscopy allow the tracking of this nanoscale diffusion of individual objects with unprecedented precision. However, the agnostic and a...
Deep Learning Image Processing, Computer-Assisted Diffusion Humans Software Single Molecule Imaging Endosomes
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iEnhancer-GDM: A Deep Learning Framework Based on Generative Adversarial Network and Multi-head Attention Mechanism to Identify Enhancers and Their Strength.

Interdisciplinary sciences, computational life sciences May 7, 2025
Enhancers are short DNA fragments capable of significantly increase the frequency of gene transcription. They often exert their effects on targeted genes over long distances, either in cis or in trans configurations. Identifying enhancers poses a cha...
Humans Computational Biology Enhancer Elements, Genetic Generative Adversarial Networks Neural Networks, Computer Deep Learning
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Light-microscopy-based connectomic reconstruction of mammalian brain tissue.

Nature May 7, 2025
The information-processing capability of the brain's cellular network depends on the physical wiring pattern between neurons and their molecular and functional characteristics. Mapping neurons and resolving their individual synaptic connections can b...
Brain Female Animals Microscopy Connectome Mice Synapses Neurons Hydrogels Male Deep Learning
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Detection of Negative Emotions in Short Texts Using Deep Neural Networks.

Cyberpsychology, behavior and social networking May 7, 2025
Emotion detection is crucial in various domains, including psychology, health, social sciences, and marketing. Specifically, in psychology, identifying negative emotions in short Spanish texts, such as tweets, is vital for understanding individuals' ...
Social Media Spain Deep Learning Humans Neural Networks, Computer Emotions
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Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review.

BMC medical imaging May 7, 2025
Medical images occupy the largest part of the existing medical information and dealing with them is challenging not only in terms of management but also in terms of interpretation and analysis. Hence, analyzing, understanding, and classifying them, b...
Humans Deep Learning Magnetic Resonance Imaging Radiography Ultrasonography
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Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization.

BMC bioinformatics May 7, 2025
The integration of deep learning, particularly AI-Generated Content, with high-quality data derived from ab initio calculations has emerged as a promising avenue for transforming the landscape of scientific research. However, the challenge of designi...
Deep Learning Molecular Structure Algorithms Drug Design
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