AIMC Topic: Deep Learning

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Human expert grading versus automated quantification of fluid volumes in nAMD, DME and BRVO.

Scientific reports Aug 19, 2025
This study compared an automated deep learning algorithm with certified human graders from the Vienna Reading Center (VRC) in identifying intra- (IRF) and subretinal fluid (SRF) in OCT scans of patients treated for neovascular age-related macular deg...
Humans Subretinal Fluid Retinal Vein Occlusion Tomography, Optical Coherence Diabetic Retinopathy Macular Edema Aged Algorithms Macular Degeneration Female Male Deep Learning
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TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues.

Nature communications Aug 19, 2025
The spatial organization of cells plays a pivotal role in shaping tissue functions and phenotypes in various biological systems and diseased microenvironments. However, the topological principles governing interactions among cell types within spatial...
Deep Learning Proteomics Humans Neural Networks, Computer Animals Transcriptome
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Comparative performance of deep learning architectures for diabetic peripheral neuropathy detection using corneal confocal microscopy: a retrospective single-centre study.

BMJ open Aug 19, 2025
OBJECTIVES: This study aims to develop a deep learning algorithm (DLA) using the InceptionV3 architecture for effective diabetic peripheral neuropathy (DPN) screening via corneal confocal microscopy (CCM) images.
Deep Learning Microscopy, Confocal Diabetic Neuropathies Female Aged Adult Cornea Male Middle Aged Humans Algorithms Retrospective Studies
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Determination of Skeletal Age From Hand Radiographs Using Deep Learning.

The American journal of sports medicine Aug 15, 2025
BACKGROUND: Surgeons treating skeletally immature patients use skeletal age to determine appropriate surgical strategies. Traditional bone age estimation methods utilizing hand radiographs are time-consuming.
Deep Learning Adolescent Humans Cohort Studies Hand Female Child, Preschool Age Determination by Skeleton Male Child Hand Bones Infant Radiography
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GATRsite: RNA-Ligand Binding Site Prediction Using Graph Attention Networks and Pretrained RNA Language Models.

Journal of chemical information and modeling Aug 14, 2025
Identifying functional sites of RNA, particularly those where small molecules bind, is crucial for understanding related biological processes and advancing drug design. Small molecule therapies, compared to traditional protein-targeted therapies, hav...
Deep Learning Computational Biology Models, Molecular RNA Ligands Binding Sites
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Enhancing cardiac function assessment: Developing and validating a domain adaptive framework for automating the segmentation of echocardiogram videos.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 13, 2025
BACKGROUND: Accurate segmentation of echocardiographic images is essential for assessing cardiac function, particularly in calculating key metrics such as ejection fraction. However, challenges such as domain discrepancy, noisy data, anatomical varia...
Humans Algorithms Echocardiography Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Heart
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Effects of using deep learning to predict the geographic origin of barley genebank accessions on genome-environment association studies.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Aug 12, 2025
Genome-environment association (GEA) is an approach for identifying adaptive loci by combining genetic variation with environmental parameters, offering potential for improving crop resilience. However, its application to genebank accessions is limit...
Deep Learning Genome, Plant Gene-Environment Interaction Polymorphism, Single Nucleotide Hordeum Geography
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MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach.

European radiology experimental Aug 12, 2025
BACKGROUND: We aimed to quantify hepatic vessel volumes across chronic liver disease stages and healthy controls using deep learning-based magnetic resonance imaging (MRI) analysis, and assess correlations with biomarkers for liver (dys)function and ...
Gadolinium DTPA Hypertension, Portal Chronic Disease Liver Diseases Retrospective Studies Hepatic Veins Female Magnetic Resonance Imaging Aged Case-Control Studies Liver Deep Learning Humans Adult Contrast Media Male Middle Aged
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Enhanced residual-attention deep neural network for disease classification in maize leaf images.

Scientific reports Aug 12, 2025
Disease classification in maize plant is necessary for immediate treatment to enhance agricultural production and assure global food sustainability. Recent advancements in deep learning, specifically convolutional neural networks, have shown outstand...
Zea mays Neural Networks, Computer Plant Diseases Deep Learning Reproducibility of Results Image Processing, Computer-Assisted Plant Leaves
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TG-Mamba: Leveraging text guidance for predicting tumor mutation burden in lung cancer.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 11, 2025
Tumor mutation burden (TMB) is a crucial biomarker for predicting the response of lung cancer patients to immunotherapy. Traditionally, TMB is quantified through whole-exome sequencing (WES), but the high costs and time requirements of WES limit its ...
Deep Learning Lung Neoplasms Mutation Tumor Burden Exome Sequencing Humans Biomarkers, Tumor
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