AIMC Topic: Deep Learning

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Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling.

Medical image analysis Feb 21, 2025
The integration of diverse clinical modalities such as medical imaging and the tabular data extracted from patients' Electronic Health Records (EHRs) is a crucial aspect of modern healthcare. Integrative analysis of multiple sources can provide a com...
Brain Electronic Health Records Female Magnetic Resonance Imaging Humans Multimodal Imaging Neural Networks, Computer Alzheimer Disease Male Deep Learning
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Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare.

International journal of medical informatics Feb 21, 2025
BACKGROUND: The increasing use of Deep Learning (DL) in healthcare has highlighted the critical need for improved transparency and interpretability. While Explainable Artificial Intelligence (XAI) methods provide insights into model predictions, reli...
Uncertainty Delivery of Health Care Reproducibility of Results Deep Learning Humans Artificial Intelligence
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Incorporating indirect MRI information in a CT-based deep learning model for prostate auto-segmentation.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 21, 2025
BACKGROUND AND PURPOSE: Computed tomography (CT) imaging poses challenges for delineation of soft tissue structures for prostate cancer external beam radiotherapy. Guidelines require the input of magnetic resonance imaging (MRI) information. We devel...
Humans Prostate Magnetic Resonance Imaging Male Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Prostatic Neoplasms Deep Learning
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Deep learning combined Monte Carlo simulation reveal the fundamental light propagation in apple puree: Monitoring the quality changes from different cultivar, storage period and heating duration.

Food research international (Ottawa, Ont.) Feb 21, 2025
This work explored the light propagation of purees from a large variability of apple cultivar, storage period and heating duration based on their optical absorption (μ) and reduced scattering (μ') properties at 900-1650 nm, in order to better monitor...
Viscosity Hot Temperature Light Malus Fruit Monte Carlo Method Neural Networks, Computer Food Storage Rheology Deep Learning
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Missing-modality enabled multi-modal fusion architecture for medical data.

Journal of biomedical informatics Feb 21, 2025
BACKGROUND: Fusion of multi-modal data can improve the performance of deep learning models. However, missing modalities are common in medical data due to patient specificity, which is detrimental to the performance of multi-modal models in applicatio...
Deep Learning Medical Informatics Humans Algorithms Radiography, Thoracic
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Deep learning imputes DNA methylation states in single cells and enhances the detection of epigenetic alterations in schizophrenia.

Cell genomics Feb 21, 2025
DNA methylation (DNAm) is a key epigenetic mark with essential roles in gene regulation, mammalian development, and human diseases. Single-cell technologies enable profiling DNAm at cytosines in individual cells, but they often suffer from low covera...
Animals Deep Learning Single-Cell Analysis Humans DNA Methylation Schizophrenia CpG Islands Mice Epigenesis, Genetic
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Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning.

Journal of chemical information and modeling Feb 21, 2025
Proteins are inherently dynamic, and their conformational ensembles play a crucial role in biological function. Large-scale motions may govern the protein structure-function relationship, and numerous transient but stable conformations of intrinsical...
Deep Learning Peptide Fragments Molecular Dynamics Simulation Amyloid beta-Peptides Intrinsically Disordered Proteins Protein Conformation
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Explainable paroxysmal atrial fibrillation diagnosis using an artificial intelligence-enabled electrocardiogram.

The Korean journal of internal medicine Feb 21, 2025
BACKGROUND/AIMS: Atrial fibrillation (AF) significantly contributes to global morbidity and mortality. Paroxysmal atrial fibrillation (PAF) is particularly common among patients with cryptogenic strokes or transient ischemic attacks and has a silent ...
Early Diagnosis Deep Learning Electrocardiography Predictive Value of Tests Atrial Fibrillation Action Potentials Aged Male Humans Middle Aged Neural Networks, Computer Artificial Intelligence Female
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Deep learning-based surrogates for multi-objective optimization of the groundwater abstraction schemes to manage seawater intrusion into coastal aquifers.

Journal of environmental management Feb 21, 2025
Efficient optimization of pumping systems is crucial for managing salinity intrusion and ensuring groundwater sustainability in coastal aquifers. Surrogate models (SMs) are widely used in aquifer management as efficient alternatives to complex ground...
Salinity Deep Learning Groundwater Seawater Neural Networks, Computer Algorithms
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Assessment of anemia recovery using peripheral blood smears by deep semi-supervised learning.

Annals of hematology Feb 21, 2025
Monitoring anemia recovery is crucial for clinical intervention. Morphological assessment of red blood cells (RBCs) with peripheral blood smears (PBSs) provides additional information beyond routine blood tests. However, the PBS test is labor-intensi...
Humans Animals Male Anemia Erythrocytes Erythrocyte Count Deep Learning Mice Supervised Machine Learning
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