AIMC Topic: Computer Simulation

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Development of a deep learning-based error detection system without error dose maps in the patient-specific quality assurance of volumetric modulated arc therapy.

Journal of radiation research Jul 18, 2023
To detect errors in patient-specific quality assurance (QA) for volumetric modulated arc therapy (VMAT), we proposed an error detection method based on dose distribution analysis using unsupervised deep learning approach and analyzed 161 prostate VMA...
Humans Computer Simulation ROC Curve Radiotherapy Planning, Computer-Assisted Male Deep Learning Phantoms, Imaging Radiotherapy Dosage Quality Assurance, Health Care Radiotherapy, Intensity-Modulated
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Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects.

American journal of epidemiology Jul 7, 2023
"Heterogeneous treatment effects" is a term which refers to conditional average treatment effects (i.e., CATEs) that vary across population subgroups. Epidemiologists are often interested in estimating such effects because they can help detect popula...
Humans Causality Forests Machine Learning Computer Simulation
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TCRmodel2: high-resolution modeling of T cell receptor recognition using deep learning.

Nucleic acids research Jul 5, 2023
The cellular immune system, which is a critical component of human immunity, uses T cell receptors (TCRs) to recognize antigenic proteins in the form of peptides presented by major histocompatibility complex (MHC) proteins. Accurate definition of the...
Antigens Deep Learning Receptors, Antigen, T-Cell Computer Simulation Humans Peptides
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Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge.

JAMA Jul 3, 2023
Diagnosis, Computer-Assisted Artificial Intelligence Computer Simulation Reproducibility of Results
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SleepSIM: Conditional GAN-based non-REM sleep EEG Signal Generator.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Synthetic data generation has become increasingly popular with the increasing use of generative networks. Recently, Generative Adversarial Network (GAN) architectures have produced exceptional results in synthetic image generation. However, time seri...
Electroencephalography Neural Networks, Computer Medicine Sleep Computer Simulation
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MosaicNet: A deep-learning-based multi-tile biomedical image stitching method.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Multi-tile image stitching aims to merge multiple natural or biomedical images into a single mosaic. This is an essential step in whole-slide imaging and large-scale pathological imaging systems. To tackle this task, a multi-step framework is usually...
Deep Learning Brain Image Processing, Computer-Assisted Animals Computer Simulation Mice Magnetic Resonance Imaging
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A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
We propose a neural network-based framework to optimize the perceptions simulated by the in silico retinal implant model pulse2percept. The overall pipeline consists of a trainable encoder, a pre-trained retinal implant model and a pre-trained evalua...
Image Processing, Computer-Assisted Retina Deep Learning Neural Networks, Computer Computer Simulation
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Automated Gas Chromatography Peak Alignment: A Deep Learning Approach using Greedy Optimization and Simulation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The clinical significance of volatile organic compounds (VOC) in detecting diseases has been established over the past decades. Gas chromatography (GC) devices enable the measurement of these VOCs. Chromatographic peak alignment is one of the importa...
Algorithms Computer Simulation Deep Learning Volatile Organic Compounds Chromatography, Gas
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SBOannotator: a Python tool for the automated assignment of systems biology ontology terms.

Bioinformatics (Oxford, England) Jul 1, 2023
MOTIVATION: The number and size of computational models in biology have drastically increased over the past years and continue to grow. Modeled networks are becoming more complex, and reconstructing them from the beginning in an exchangeable and repr...
Systems Biology Reproducibility of Results Computer Simulation Biological Ontologies Computational Biology Gene Ontology
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Deep transfer learning-based variable Doppler underwater acoustic communications.

The Journal of the Acoustical Society of America Jul 1, 2023
This paper proposes a deep transfer learning (DTL)-based variable Doppler frequency-hopping binary frequency-shift keying underwater acoustic communication system. The system uses a convolutional neural network (CNN) as the demodulation module of the...
Acoustics Computer Simulation Learning Machine Learning Neural Networks, Computer
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