AIMC Topic: Deep Learning

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Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques.

Magma (New York, N.Y.) Feb 18, 2025
OBJECTIVE: Using deep learning-based techniques to overcome physical limitations and explore the potential performance of 0.2 T low-field unshielded MRI in terms of imaging quality and speed.
Humans Algorithms Equipment Design Signal-To-Noise Ratio Phantoms, Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning
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T-ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein-Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment.

Journal of chemical information and modeling Feb 18, 2025
There is significant interest in targeting disease-causing proteins with small molecule inhibitors to restore healthy cellular states. The ability to accurately predict the binding affinity of small molecules to a protein target in silico enables the...
Uncertainty Ligands ErbB Receptors SARS-CoV-2 Drug Discovery Protein Binding Proteins Deep Learning Humans Neural Networks, Computer
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A deep learning detection method for pancreatic cystic neoplasm based on Mamba architecture.

Journal of X-ray science and technology Feb 18, 2025
OBJECTIVE: Early diagnosis of pancreatic cystic neoplasm (PCN) is crucial for patient survival. This study proposes M-YOLO, a novel model combining Mamba architecture and YOLO, to enhance the detection of pancreatic cystic tumors. The model addresses...
Image Processing, Computer-Assisted Pancreatic Neoplasms Pancreatic Cyst Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans Sensitivity and Specificity Algorithms Deep Learning
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Deep Learning Protocol for Predicting Full-Spectrum Infrared and Raman Spectra of Polypeptides and Proteins Using All-Atom Models.

The journal of physical chemistry letters Feb 18, 2025
Infrared (IR) spectroscopy and Raman spectroscopy are powerful tools for probing protein and peptide structures due to their capability to provide molecular fingerprints. As a popular spectral simulation method, the quantum chemistry (QC) calculation...
Deep Learning Spectrum Analysis, Raman Proteins Peptides Models, Molecular Spectrophotometry, Infrared Quantum Theory
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Deep learning-based automated guide for defining a standard imaging plane for developmental dysplasia of the hip screening using ultrasonography: a retrospective imaging analysis.

BMC medical informatics and decision making Feb 18, 2025
BACKGROUND: We aimed to propose a deep-learning neural network model for automatically detecting five landmarks during a two-dimensional (2D) ultrasonography (US) scan to develop a standard plane for developmental dysplasia of the hip (DDH) screening...
Female Humans Male Infant Anatomic Landmarks Neural Networks, Computer Deep Learning Retrospective Studies Developmental Dysplasia of the Hip Ultrasonography
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Deep learning-based classification of diffusion-weighted imaging-fluid-attenuated inversion recovery mismatch.

Scientific reports Feb 18, 2025
The presence of a diffusion-weighted imaging (DWI)-fluid-attenuated inversion recovery (FLAIR) mismatch holds potential value in identifying candidates for recanalization treatment. However, the visual assessment of DWI-FLAIR mismatch is subject to l...
Middle Aged Deep Learning Diffusion Magnetic Resonance Imaging Ischemic Stroke Aged Humans Aged, 80 and over Male Neural Networks, Computer Female
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HDL-ACO hybrid deep learning and ant colony optimization for ocular optical coherence tomography image classification.

Scientific reports Feb 18, 2025
Optical Coherence Tomography (OCT) plays a crucial role in diagnosing ocular diseases, yet conventional CNN-based models face limitations such as high computational overhead, noise sensitivity, and data imbalance. This paper introduces HDL-ACO, a nov...
Humans Eye Diseases Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Tomography, Optical Coherence
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Hybrid Greylag Goose deep learning with layered sparse network for women nutrition recommendation during menstrual cycle.

Scientific reports Feb 18, 2025
A complex biological process involves physical changes and hormonal fluctuation in the menstrual cycle. The traditional nutrition recommendation models often offer general guidelines but fail to address the specific requirements of women during vario...
Humans Menstrual Cycle Female Deep Learning Algorithms
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Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data.

Scientific reports Feb 18, 2025
A brain tumor is an abnormal growth of cells within the brain or surrounding tissues, which can be either benign or malignant. Brain tumors develop in various regions of the brain, each affecting different functions such as movement, speech, and visi...
Brain Neoplasms Deep Learning Normal Distribution Linear Models Neural Networks, Computer Machine Learning Algorithms Humans
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Applying deep learning and the ecological home range concept to document the spatial distribution of Atlantic salmon parr (Salmo salar L.) in experimental tanks.

Scientific reports Feb 18, 2025
Measuring and monitoring fish welfare in aquaculture research relies on the use of outcome- (biotic) and input-based (e.g., abiotic) welfare indicators (WIs). Incorporating behavioural auditing into this toolbox can sometimes be challenging because s...
Salmo salar Animal Welfare Behavior, Animal Deep Learning Aquaculture Homing Behavior Animals
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