AIMC Topic: Algorithms

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Impact of Emerging Deep Learning-Based MR Image Reconstruction Algorithms on Abdominal MRI Radiomic Features.

Journal of computer assisted tomography Aug 22, 2024
OBJECTIVE: This study aims to evaluate, on one MRI vendor's platform, the impact of deep learning (DL)-based reconstruction techniques on MRI radiomic features compared to conventional image reconstruction techniques.
Aged Young Adult Adult Prospective Studies Female Middle Aged Deep Learning Adolescent Radiomics Male Humans Algorithms Image Processing, Computer-Assisted Child, Preschool Abdomen Child Magnetic Resonance Imaging
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Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
Graph Contrastive Learning (GCL) generates graph-level embeddings by maximizing Mutual Information between different augmented views of the same graph (positive pairs), and shows promising performance in graph representation learning (GRL) without th...
Machine Learning Humans Neural Networks, Computer Algorithms
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Evaluation of tumor budding with virtual panCK stains generated by novel multi-model CNN framework.

Computer methods and programs in biomedicine Aug 22, 2024
As the global incidence of cancer continues to rise rapidly, the need for swift and precise diagnoses has become increasingly pressing. Pathologists commonly rely on H&E-panCK stain pairs for various aspects of cancer diagnosis, including the detecti...
Staining and Labeling Keratins Neoplasms Image Processing, Computer-Assisted Humans Algorithms Female Neural Networks, Computer Breast Neoplasms
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A new hybrid learning control system for robots based on spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
This paper presents a new hybrid learning and control method that can tune their parameters based on reinforcement learning. In the new proposed method, nonlinear controllers are considered multi-input multi-output functions and then the functions ar...
Algorithms Feedback Models, Neurological Action Potentials Neuronal Plasticity Neural Networks, Computer Machine Learning Nonlinear Dynamics Robotics Reinforcement, Psychology Neurons
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A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
Metasurfaces have widespread applications in fifth-generation (5G) microwave communication. Among the metasurface family, free-form metasurfaces excel in achieving intricate spectral responses compared to regular-shape counterparts. However, conventi...
Algorithms Deep Learning Microwaves Neural Networks, Computer
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Attention-based stackable graph convolutional network for multi-view learning.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
In multi-view learning, graph-based methods like Graph Convolutional Network (GCN) are extensively researched due to effective graph processing capabilities. However, most GCN-based methods often require complex preliminary operations such as sparsif...
Attention Algorithms Deep Learning Humans Neural Networks, Computer
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DiagSWin: A multi-scale vision transformer with diagonal-shaped windows for object detection and segmentation.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
Recently, Vision Transformer and its variants have demonstrated remarkable performance on various computer vision tasks, thanks to its competence in capturing global visual dependencies through self-attention. However, global self-attention suffers f...
Algorithms Attention Visual Perception Humans Neural Networks, Computer
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Reconstruct incomplete relation for incomplete modality brain tumor segmentation.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
Different brain tumor magnetic resonance imaging (MRI) modalities provide diverse tumor-specific information. Previous works have enhanced brain tumor segmentation performance by integrating multiple MRI modalities. However, multi-modal MRI data are ...
Magnetic Resonance Imaging Semantics Brain Neoplasms Humans Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
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Real-time chlorophyll-a forecasting using machine learning framework with dimension reduction and hyperspectral data.

Environmental research Aug 22, 2024
Since water is an essential resource in various fields, it requires constant monitoring. Chlorophyll-a concentration is a crucial indicator of water quality and can be used to monitor water quality. In this study, we developed methods to forecast chl...
Machine Learning Algorithms Forecasting Water Quality Environmental Monitoring Chlorophyll Least-Squares Analysis Chlorophyll A
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On the application of hybrid deep 3D convolutional neural network algorithms for predicting the micromechanics of brain white matter.

Computer methods and programs in biomedicine Aug 22, 2024
BACKGROUND: Material characterization of brain white matter (BWM) is difficult due to the anisotropy inherent to the three-dimensional microstructure and the various interactions between heterogeneous brain-tissue (axon, myelin, and glia). Developing...
Anisotropy White Matter Humans Finite Element Analysis Neural Networks, Computer Brain Deep Learning Algorithms Imaging, Three-Dimensional
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