AIMC Topic: Deep Learning

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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 Computational Biology Software 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 Deep Learning Magnetic Resonance Imaging Male Middle Aged Humans Prospective Studies Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided
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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...
Absorptiometry, Photon Foot Ankle Mass Screening Radiography Bone Diseases, Metabolic Sensitivity and Specificity Cross-Sectional Studies Male Osteoporosis Middle Aged Female Humans Deep Learning Aged Bone Density Pilot Projects 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.
Reproducibility of Results Humans Femur Head Necrosis Male Deep Learning Adult Retrospective Studies Middle Aged Magnetic Resonance Imaging Female Femur Head
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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...
Fluorescent Dyes Microscopy, Fluorescence Kinetics Deep Learning Nanotechnology DNA Single Molecule Imaging
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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...
HeLa Cells Optical Imaging Lysosomes Microscopy, Fluorescence Hydrogen-Ion Concentration Humans Deep Learning
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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 Female Cone-Beam Computed Tomography Humans Pelvis Male Image Processing, Computer-Assisted Pelvic Neoplasms Deep Learning Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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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 ...
Platelet Endothelial Cell Adhesion Molecule-1 Tumor Microenvironment Biomarkers, Tumor Deep Learning Image Processing, Computer-Assisted Neovascularization, Pathologic Immunohistochemistry Prognosis Female Breast Neoplasms Humans Neural Networks, Computer
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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...
Deep Learning Mice 5' Untranslated Regions Humans Animals
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Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach.

BMC medical imaging Feb 4, 2025
BACKGROUND: Computed tomography attenuation correction (CTAC) is commonly used in cardiac SPECT imaging to reduce soft-tissue attenuation artifacts. However, CTAC is prone to inaccuracies due to CT artifacts and SPECT-CT mismatch, along with addition...
Aged Male Middle Aged Deep Learning Humans Tomography, X-Ray Computed Female Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Heart Artifacts
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