AIMC Topic: Automation

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Quantitative and automatic plan-of-the-day assessment to facilitate adaptive radiotherapy in cervical cancer.

Physics in medicine and biology Jun 23, 2025
To facilitate implementation of plan-of-the-day (POTD) selection for treating locally advanced cervical cancer (LACC), we developed a POTD assessment tool for CBCT-guided radiotherapy (RT). A female pelvis segmentation model (U-Seg3) is combined with...
Humans Female Organs at Risk Radiotherapy Planning, Computer-Assisted Automation Radiotherapy, Image-Guided Uterine Cervical Neoplasms Time Factors Cone-Beam Computed Tomography
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Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates.

Physiological measurement Jun 10, 2025
To develop and validate a machine learning framework for the classification of distinct seizure onset patterns using intracranial EEG (iEEG) recordings in a non-human primate (NHP) model of penicillin-induced seizures.iEEG data were collected from si...
Primates Animals Electroencephalography Seizures Signal Processing, Computer-Assisted Automation Electrocorticography Machine Learning
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Smart Reaction Templating: A Graph-Based Method for Automated Molecular Dynamics Input Generation.

Journal of chemical information and modeling Jun 6, 2025
Accurately modeling chemical reactions in molecular dynamics simulations requires detailed pre- and postreaction templates, often created through labor-intensive manual workflows. This work introduces a Python-based algorithm that automates the gener...
Automation Algorithms Molecular Dynamics Simulation
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Automating the Analysis of Substrate Reactivity through Environment Interaction Mapping.

Journal of chemical information and modeling May 28, 2025
Exploring the interaction configurations between substrates and atomic or molecular systems is crucial for various scientific and technological applications, such as characterizing catalytic reactions, solvation structures, and molecular interactions...
Automation Machine Learning Cluster Analysis Models, Molecular
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Automated Electro-construction waste Sorting: Computer vision for part-level segmentation.

Waste management (New York, N.Y.) May 19, 2025
The global generation of construction, demolition, and renovation (CDR) waste has surged, increasing the demand for efficient recycling solutions. Emerging technologies can automate the sorting of CDR waste, which is crucial for specialised categorie...
Neural Networks, Computer Construction Industry Automation Recycling Waste Management Electronic Waste
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The Use of Maximum-Intensity Projections and Deep Learning Adds Value to the Fully Automatic Segmentation of Lesions Avid for [F]FDG and [Ga]Ga-PSMA in PET/CT.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine May 1, 2025
This study investigated the added value of using maximum-intensity projection (MIP) images for fully automatic segmentation of lesions using deep learning (DL) in [F]FDG and [Ga]Ga-prostate-specific membrane antigen (PSMA) PET/CT scans. We used 489 ...
Oligopeptides Gallium Radioisotopes Gallium Isotopes Edetic Acid Automation Fluorodeoxyglucose F18 Deep Learning Aged Humans Image Processing, Computer-Assisted Male Positron Emission Tomography Computed Tomography Middle Aged
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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Magnetic Resonance Imaging, Cine Heart Rate Image Interpretation, Computer-Assisted Observer Variation Automation Blood Flow Velocity Atrial Function, Left Predictive Value of Tests Atrial Fibrillation Heart Atria Deep Learning Time Factors Magnetic Resonance Imaging Humans Female Male Middle Aged Reproducibility of Results Aged
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The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses.

Biomedical engineering online Apr 27, 2025
BACKGROUND: Chronic rhinosinusitis (CRS) is diagnosed with symptoms and objective endoscopy or computed tomography (CT). The Lund-Mackay score (LMS) is often used to determine the radiologic severity of CRS and make clinical decisions. This proof-of-...
Middle Aged Sinusitis Humans Female Convolutional Neural Networks Neural Networks, Computer Adult Image Processing, Computer-Assisted Paranasal Sinuses Tomography, X-Ray Computed Male Automation
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Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography.

The international journal of cardiovascular imaging Apr 26, 2025
Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart disease screening modality. However, its clinical application is hindered by inherent limitations, including low spatial resolution and insufficient co...
Reproducibility of Results Aged Male Humans Female Predictive Value of Tests Coronary Angiography Coronary Artery Disease Image Interpretation, Computer-Assisted Middle Aged Deep Learning Time Factors Magnetic Resonance Angiography Observer Variation Computed Tomography Angiography Automation Coronary Vessels
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Reinforcement learning-driven automated head and neck simultaneous integrated boost (SIB) radiation therapy: flexible treatment planning aligned with clinical preferences.

Physics in medicine and biology Apr 22, 2025
Head-and-neck simultaneous integrated boost (SIB) treatment planning using intensity modulated radiation therapy is particularly challenging due to the proximity to organs-at-risk. Depending on the specific clinical conditions, different parotid-spar...
Organs at Risk Radiotherapy Planning, Computer-Assisted Automation Humans Deep Learning Head and Neck Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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