AIMC Topic: Deep Learning

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Emotional stimulated speech-based assisted early diagnosis of depressive disorders using personality-enhanced deep learning.

Journal of affective disorders Feb 4, 2025
BACKGROUND: Early diagnosis of depression is crucial, and speech-based early diagnosis of depression is promising, but insufficient data and lack of theoretical support make it difficult to be applied. Therefore, it is valuable to combine psychiatric...
Young Adult Adult Male Deep Learning Speech Middle Aged Depressive Disorder, Major Humans Algorithms Female Personality Adolescent Emotions Early Diagnosis
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Learning Phenotype Associated Signature in Spatial Transcriptomics with PASSAGE.

Small methods Feb 4, 2025
Spatially resolved transcriptomics (SRT) is poised to advance the understanding of cellular organization within complex tissues under various physiological and pathological conditions at unprecedented resolution. Despite the development of numerous c...
Humans Gene Expression Profiling Transcriptome Deep Learning Software Computational Biology Algorithms Phenotype
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Personalized auto-segmentation for magnetic resonance imaging-guided adaptive radiotherapy of large brain metastases.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 4, 2025
BACKGROUND AND PURPOSE: Magnetic resonance-guided adaptive radiotherapy (MRgART) may improve the efficacy of large brain metastases (BMs)(≥2 cm), whereas the workflow requires optimized. This study develops a two-stage, personalized deep learning aut...
Female Aged Brain Neoplasms Radiotherapy Planning, Computer-Assisted Deep Learning Humans Male Magnetic Resonance Imaging Radiotherapy, Image-Guided Prospective Studies Middle Aged
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Deep learning opportunistic screening for osteoporosis and osteopenia using radiographs of the foot or ankle - A pilot study.

European journal of radiology Feb 4, 2025
BACKGROUND: The gold standard method for diagnosing low bone mineral density (BMD) is using dual-energy X-ray absorptiometry (DXA) however, most patients with low BMD are often not screened. We aimed to create a deep learning (DL) model to screen for...
Sensitivity and Specificity Foot Cross-Sectional Studies Ankle Male Radiography Pilot Projects Osteoporosis Bone Diseases, Metabolic Mass Screening Female Absorptiometry, Photon Middle Aged Humans Aged Deep Learning Bone Density Retrospective Studies
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Automated detection of early-stage osteonecrosis of the femoral head in adult using YOLOv10: Multi-institutional validation.

European journal of radiology Feb 4, 2025
OBJECTIVES: To develop a deep learning model based on the You Only Look Once version 10 (YOLOv10) for detecting early-stage ONFH in adult using radiographs.
Humans Adult Male Magnetic Resonance Imaging Middle Aged Retrospective Studies Femur Head Deep Learning Female Femur Head Necrosis Reproducibility of Results
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Deep Learning and Single-Molecule Localization Microscopy Reveal Nanoscopic Dynamics of DNA Entanglement Loci.

ACS nano Feb 4, 2025
Understanding molecular dynamics at the nanoscale remains challenging due to limitations in the temporal resolution of current imaging techniques. Deep learning integrated with Single-Molecule Localization Microscopy (SMLM) offers opportunities to pr...
DNA Single Molecule Imaging Fluorescent Dyes Kinetics Deep Learning Microscopy, Fluorescence Nanotechnology
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UNET-FLIM: A Deep Learning-Based Lifetime Determination Method Facilitating Real-Time Monitoring of Rapid Lysosomal pH Variations in Living Cells.

Analytical chemistry Feb 4, 2025
Lifetime determination plays a crucial role in fluorescence lifetime imaging microscopy (FLIM). We introduce UNET-FLIM, a deep learning architecture based on a one-dimensional U-net, specifically designed for lifetime determination. UNET-FLIM focuses...
Hydrogen-Ion Concentration HeLa Cells Optical Imaging Deep Learning Lysosomes Humans Microscopy, Fluorescence
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Synthetic CT generation from CBCT and MRI using StarGAN in the Pelvic Region.

Radiation oncology (London, England) Feb 4, 2025
RATIONALE AND OBJECTIVES: This study evaluated StarGAN, a deep learning model designed to generate synthetic computed tomography (sCT) images from magnetic resonance imaging (MRI) and cone-beam computed tomography (CBCT) data using a single model. Th...
Radiotherapy, Intensity-Modulated Cone-Beam Computed Tomography Image Processing, Computer-Assisted Female Magnetic Resonance Imaging Male Pelvic Neoplasms Deep Learning Humans Radiotherapy Dosage Pelvis Radiotherapy Planning, Computer-Assisted
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Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation.

Breast cancer research : BCR Feb 4, 2025
BACKGROUND: Tumour vascular density assessed from CD-31 immunohistochemistry (IHC) images has previously been shown to have prognostic value in breast cancer. Current methods to measure vascular density, however, are time-consuming, suffer from high ...
Prognosis Female Breast Neoplasms Humans Neural Networks, Computer Image Processing, Computer-Assisted Neovascularization, Pathologic Immunohistochemistry Platelet Endothelial Cell Adhesion Molecule-1 Tumor Microenvironment Biomarkers, Tumor Deep Learning
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UTR-Insight: integrating deep learning for efficient 5' UTR discovery and design.

BMC genomics Feb 4, 2025
The 5' UTR is critical for mRNA stability and translation efficiency in therapeutics. We developed UTR-Insight, a model integrating a pretrained language model with a CNN-Transformer architecture, explaining 89.1% of the mean ribosome load (MRL) vari...
Mice Humans 5' Untranslated Regions Animals Deep Learning
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