AIMC Topic: Deep Learning

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Hybrid deep learning downscaling of GCMs for climate impact assessment and future projections in Oman.

Journal of environmental management Feb 15, 2025
Accurate downscaling of global circulation models (GCMs) is critical for assessing the impacts of climate change and water resources management. In this research, Fourteen GCMs were evaluated through a Taylor diagram, including EC-Earth3-CC, ACCESS-C...
Oman Deep Learning Climate Change
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Deep learning-driven behavioral analysis reveals adaptive responses in Drosophila offspring after long-term parental microplastic exposure.

Journal of environmental management Feb 15, 2025
Microplastics are widely distributed in the environment and pose potential hazards to organisms. However, our understanding of the transgenerational effects of microplastics on terrestrial organisms remains limited. In this study, we focused on the m...
Drosophila melanogaster Animals Larva Deep Learning Microplastics Behavior, Animal
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Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning.

BMC medical informatics and decision making Feb 15, 2025
The diagnosis of pancreatic cancer presents a significant challenge due to the asymptomatic nature of the disease and the fact that it is frequently detected at an advanced stage. This study presents a novel approach combining graph-based data repres...
Humans Tomography, X-Ray Computed Deep Learning Machine Learning Pancreatic Neoplasms
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An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data.

Scientific reports Feb 15, 2025
Auscultation is a method that involves listening to sounds from the patient's body, mainly using a stethoscope, to diagnose diseases. The stethoscope allows for non-invasive, real-time diagnosis, and it is ideal for diagnosing respiratory diseases an...
Child, Preschool Humans Auscultation Republic of Korea Infant Respiratory Sounds Prospective Studies Child Female Deep Learning Male Stethoscopes
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Classification patterns identification of immunogenic cell death-related genes in heart failure based on deep learning.

Scientific reports Feb 15, 2025
Heart failure (HF) is a complex and prevalent condition, particularly in the elderly, presenting symptoms like chest tightness, shortness of breath, and dyspnea. The study aimed to improve the classification of HF subtypes and identify potential drug...
Heart Failure MicroRNAs Male Cell Death Gene Expression Profiling Deep Learning Humans
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Deep learning-based organ-wise dosimetry of Cu-DOTA-rituximab through only one scanning.

Scientific reports Feb 15, 2025
This study aimed to generate a delayed Cu-dotatate (DOTA)-rituximab positron emission tomography (PET) image from its early-scanned image by deep learning to mitigate the inconvenience and cost of estimating absorbed radiopharmaceutical doses. We acq...
Aged Male Middle Aged Deep Learning Radiopharmaceuticals Rituximab Humans Radiometry Female Copper Radioisotopes Positron-Emission Tomography Organometallic Compounds
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Deep learning for detecting and early predicting chronic obstructive pulmonary disease from spirogram time series.

NPJ systems biology and applications Feb 15, 2025
Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung condition characterized by airflow obstruction. Current diagnostic methods primarily rely on identifying prominent features in spirometry (Volume-Flow time series) to detect COPD, but the...
Spirometry ROC Curve Early Diagnosis Humans Female Pulmonary Disease, Chronic Obstructive Male Disease Progression Deep Learning
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Thermo-responsive and phase-separated hydrogels for cardiac arrhythmia diagnosis with deep learning algorithms.

Biosensors & bioelectronics Feb 14, 2025
Adhesive epidermal hydrogel electrodes are essential for achieving robust signal transduction and cardiac arrhythmia diagnosis, but detachment of conventional adhesive dressings easily causes secondary damage to delicate wound tissues due to lack of ...
Algorithms Temperature Deep Learning Humans Electrodes Arrhythmias, Cardiac Hydrogels Wearable Electronic Devices Biosensing Techniques Electrocardiography
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Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models.

International journal of computer assisted radiology and surgery Feb 14, 2025
PURPOSE: Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limitation is the need for a clear relationship between the model's shape coefficients and clinically relevant anatomical p...
Deep Learning Imaging, Three-Dimensional Models, Statistical Nonlinear Dynamics Femur Humans Tomography, X-Ray Computed
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A Bi-modal Temporal Segmentation Network for Automated Segmentation of Focal Liver Lesions in Dynamic Contrast-enhanced Ultrasound.

Ultrasound in medicine & biology Feb 14, 2025
OBJECTIVE: To develop and validate an automated deep learning-based model for focal liver lesion (FLL) segmentation in a dynamic contrast-enhanced ultrasound (CEUS) video.
Female Aged Adult Humans Retrospective Studies Ultrasonography Liver Neoplasms Contrast Media Male Middle Aged Deep Learning Image Enhancement Liver Image Interpretation, Computer-Assisted
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