AIMC Topic: Deep Learning

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Detection of motor nervous disease using deep learning based Duple feature extraction network.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 21, 2024
BackgroundA motor nervous disease (MND) is a debilitating nervous disease that affects motor neurons that regulates the muscular voluntary movements. The disease gradually destroys parts of the neurological system. Generally, MND develops owing to a ...
Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Diffusion Tensor Imaging Motor Neuron Disease
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Automatic pituitary adenoma segmentation and identification of cavernous sinus invasion via multitask learning.

Clinical radiology Nov 21, 2024
AIM: This study aimed to develop a multitask deep learning model for pituitary macroadenoma (PMA) segmentation and identification of cavernous sinus (CS) invasion.
Deep Learning Humans Magnetic Resonance Imaging Male Retrospective Studies Female Pituitary Neoplasms Neoplasm Invasiveness Middle Aged Adenoma Aged Cavernous Sinus Image Interpretation, Computer-Assisted Adult
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Improving PM and PM predictions in China from WRF_Chem through a deep learning method: Multiscale depth-separable UNet.

Environmental pollution (Barking, Essex : 1987) Nov 21, 2024
Accurate predictions of atmospheric particulate matter can be applied in providing services for air pollution prevention and control. However, the forecasting accuracy of traditional air quality models is limited owing to model uncertainties. In this...
Particulate Matter Particle Size Air Pollutants Air Pollution China Environmental Monitoring Forecasting Deep Learning
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Automatic discrimination between neuroendocrine carcinomas and grade 3 neuroendocrine tumors by deep learning of H&E images.

Computers in biology and medicine Nov 21, 2024
Neuroendocrine neoplasms (NENs) arise from diffuse neuroendocrine cells and are categorized as either well-differentiated and less proliferative Neuroendocrine Tumors (NETs), divided into low (G1), middle (G2), and high grades (G3), or poorly differe...
Humans Deep Learning Diagnosis, Differential Neoplasm Grading Carcinoma, Neuroendocrine Image Interpretation, Computer-Assisted Neuroendocrine Tumors
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Deep multiple instance learning on heterogeneous graph for drug-disease association prediction.

Computers in biology and medicine Nov 21, 2024
Drug repositioning offers promising prospects for accelerating drug discovery by identifying potential drug-disease associations (DDAs) for existing drugs and diseases. Previous methods have generated meta-path-augmented node or graph embeddings for ...
Computational Biology Drug Repositioning Humans Neural Networks, Computer Deep Learning
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Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network Design.

Journal of chemical information and modeling Nov 21, 2024
In this study, we introduced Matini-Net, which is a versatile framework for feature engineering and automated architecture design for materials informatics research using deep neural networks. Matini-Net provides the flexibility to design feature-bas...
Informatics Materials Science Neural Networks, Computer Deep Learning
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Accurate RNA 3D structure prediction using a language model-based deep learning approach.

Nature methods Nov 21, 2024
Accurate prediction of RNA three-dimensional (3D) structures remains an unsolved challenge. Determining RNA 3D structures is crucial for understanding their functions and informing RNA-targeting drug development and synthetic biology design. The stru...
Nucleic Acid Conformation Models, Molecular RNA Software Humans Deep Learning Computational Biology
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Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural Networks.

IEEE transactions on bio-medical engineering Nov 21, 2024
OBJECTIVE: Surface electromyography (sEMG) can sense the motor commands transmitted to the muscles. This work presents a deep learning method that can decode the electrophysiological activity of the forearm muscles into the movements of the human han...
Male Deep Learning Convolutional Neural Networks Adult Biomechanical Phenomena Electromyography Movement Muscle, Skeletal Signal Processing, Computer-Assisted Hand Humans Neural Networks, Computer Female Young Adult
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A Physics-Informed Deep Neural Network for Harmonization of CT Images.

IEEE transactions on bio-medical engineering Nov 21, 2024
OBJECTIVE: Computed Tomography (CT) quantification is affected by the variability in image acquisition and rendition. This paper aimed to reduce this variability by harmonizing the images utilizing physics-based deep neural networks (DNNs).
Humans Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Lung Diseases Tomography, X-Ray Computed Neural Networks, Computer Phantoms, Imaging Lung Algorithms Deep Learning
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A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development.

IEEE transactions on bio-medical engineering Nov 21, 2024
OBJECTIVE: Brain dynamic effective connectivity (dEC), characterizes the information transmission patterns between brain regions that change over time, which provides insight into the biological mechanism underlying brain development. However, most e...
Male Infant Humans Deep Learning Magnetic Resonance Imaging Adolescent Female Brain Models, Neurological Child, Preschool Young Adult Nerve Net Child Adult
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