AIMC Topic: Deep Learning

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DeepGraFT: A novel semantic segmentation auxiliary ROI-based deep learning framework for effective fundus tessellation classification.

Computers in biology and medicine Dec 23, 2023
Fundus tessellation (FT) is a prevalent clinical feature associated with myopia and has implications in the development of myopic maculopathy, which causes irreversible visual impairment. Accurate classification of FT in color fundus photo can help p...
Fundus Oculi Semantics Humans Machine Learning Algorithms Deep Learning
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Deep learning-based design and screening of benzimidazole-pyrazine derivatives as adenosine A receptor antagonists.

Journal of biomolecular structure & dynamics Dec 22, 2023
The Adenosine A receptor (AAR) is considered a novel potential target for the immunotherapy of cancer, and AAR antagonists have an inhibitory effect on tumor growth, proliferation, and metastasis. In our previous studies, we identified a class of ben...
Receptor, Adenosine A2B Benzimidazoles Adenosine A2 Receptor Antagonists Molecular Structure Molecular Dynamics Simulation Drug Design Deep Learning Pyrazines Structure-Activity Relationship Protein Binding Humans Molecular Docking Simulation
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Response to 'Deep learning in ophthalmic ultrasound to enable further insights in Spaceflight Associated Neuro-Ocular Syndrome (SANS)'.

Eye (London, England) Dec 22, 2023
Papilledema Deep Learning Vision Disorders
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Deep learning in ophthalmic and orbital ultrasound for spaceflight associated neuro-ocular syndrome (SANS).

Eye (London, England) Dec 22, 2023
Humans Syndrome Ultrasonography Space Flight Orbit Deep Learning
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Automated bone age assessment from knee joint by integrating deep learning and MRI-based radiomics.

International journal of legal medicine Dec 22, 2023
Bone age assessment (BAA) is a crucial task in clinical, forensic, and athletic fields. Since traditional age estimation methods are suffered from potential radiation damage, this study aimed to develop and evaluate a deep learning radiomics method b...
Magnetic Resonance Imaging Knee Joint Adult Radiomics Retrospective Studies Adolescent Humans Deep Learning Young Adult Child
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Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance.

European journal of nuclear medicine and molecular imaging Dec 22, 2023
PURPOSE: Deep convolutional neural networks (CNN) are promising for automatic classification of dopamine transporter (DAT)-SPECT images. Reporting the certainty of CNN-based decisions is highly desired to flag cases that might be misclassified and, t...
Tomography, Emission-Computed, Single-Photon Tropanes Uncertainty Humans Deep Learning Dopamine Plasma Membrane Transport Proteins
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Sleep, physical activity and panic attacks: A two-year prospective cohort study using smartwatches, deep learning and an explainable artificial intelligence model.

Sleep medicine Dec 22, 2023
BACKGROUND: Sleep and physical activity suggestions for panic disorder (PD) are critical but less surveyed. This two-year prospective cohort study aims to predict panic attacks (PA), state anxiety (SA), trait anxiety (TA) and panic disorder severity ...
Sleep Panic Disorder Prospective Studies Humans Deep Learning Artificial Intelligence
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Automated identification and quantification of metastatic brain tumors and perilesional edema based on a deep learning neural network.

Journal of neuro-oncology Dec 22, 2023
PURPOSE: This paper presents a deep learning model for use in the automated segmentation of metastatic brain tumors and associated perilesional edema.
Magnetic Resonance Imaging Edema Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Brain Neoplasms
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Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac Fibrillation.

IEEE transactions on bio-medical engineering Dec 22, 2023
OBJECTIVE: Rotors, regions of spiral wave reentry in cardiac tissues, are considered as the drivers of atrial fibrillation (AF), the most common arrhythmia. Whereas physics-based approaches have been widely deployed to detect the rotors, in-depth kno...
Artificial Intelligence Animals Rabbits Atrial Fibrillation Deep Learning Electrophysiologic Techniques, Cardiac Action Potentials
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Restoration of metabolic functional metrics from label-free, two-photon human tissue images using multiscale deep-learning-based denoising algorithms.

Journal of biomedical optics Dec 22, 2023
SIGNIFICANCE: Label-free, two-photon excited fluorescence (TPEF) imaging captures morphological and functional metabolic tissue changes and enables enhanced understanding of numerous diseases. However, noise and other artifacts present in these image...
Signal-To-Noise Ratio Wavelet Analysis Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Humans Algorithms
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