AIMC Topic: Deep Learning

Clear Filters Showing 1611 to 1620 of 26499 articles

Automated quantification of brain PET in PET/CT using deep learning-based CT-to-MR translation: a feasibility study.

European journal of nuclear medicine and molecular imaging Feb 18, 2025
PURPOSE: Quantitative analysis of PET images in brain PET/CT relies on MRI-derived regions of interest (ROIs). However, the pairs of PET/CT and MR images are not always available, and their alignment is challenging if their acquisition times differ c...
Adult Male Humans Middle Aged Brain Positron Emission Tomography Computed Tomography Female Retrospective Studies Feasibility Studies Aged Automation Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

A novel deep learning model combining 3DCNN-CapsNet and hierarchical attention mechanism for EEG emotion recognition.

Neural networks : the official journal of the International Neural Network Society Feb 18, 2025
Emotion recognition plays a key role in the field of human-computer interaction. Classifying and predicting human emotions using electroencephalogram (EEG) signals has consistently been a challenging research area. Recently, with the increasing appli...
Humans Electroencephalography Neural Networks, Computer Attention Deep Learning Emotions
View on PubMed DOI

Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.

Medical image analysis Feb 18, 2025
Invasive coronary angiography (ICA) is the gold standard imaging modality during cardiac interventions. Accurate segmentation of coronary vessels in ICA is required for aiding diagnosis and creating treatment plans. Current automated algorithms for v...
Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Deep Learning Imaging, Three-Dimensional Coronary Angiography Humans Algorithms
View on PubMed DOI

Dose prediction via deep learning to enhance treatment planning of lung radiotherapy including simultaneous integrated boost techniques.

Medical physics Feb 18, 2025
BACKGROUND: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses includin...
Deep Learning Lung Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiation Dosage Humans Radiotherapy, Intensity-Modulated Radiotherapy Dosage Retrospective Studies
View on PubMed DOI

Enhancing automated right-sided early-stage breast cancer treatments via deep learning model adaptation without additional training.

Medical physics Feb 18, 2025
BACKGROUND: Input data curation and model training are essential, but time-consuming steps in building a deep-learning (DL) auto-planning model, ensuring high-quality data and optimized performance. Ideally, one would prefer a DL model that exhibits ...
Neoplasm Staging Female Humans Breast Neoplasms Radiotherapy Planning, Computer-Assisted Deep Learning Automation
View on PubMed DOI

Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network.

Nuclear medicine communications Feb 18, 2025
OBJECTIVE: Functional imaging using the dopamine transporter (DAT) as a biomarker has proven effective in assessing dopaminergic neuron degeneration in the striatum. In assessing the neuron degeneration, visual and semiquantitative methods are used t...
Humans Female Aged Male Neural Networks, Computer Brain Retrospective Studies Image Interpretation, Computer-Assisted Tomography, Emission-Computed, Single-Photon Dopamine Plasma Membrane Transport Proteins Convolutional Neural Networks Image Processing, Computer-Assisted Parkinson Disease Middle Aged Deep Learning
View on PubMed DOI

Comparative analysis for accurate multi-classification of brain tumor based on significant deep learning models.

Computers in biology and medicine Feb 18, 2025
Brain tumours are a significant health concern, often resulting in severe cognitive and physiological impairments. Accurate detection and classification of brain tumours, including glioma, meningioma, and pituitary tumours, are crucial for effective ...
Humans Neural Networks, Computer Female Brain Neoplasms Magnetic Resonance Imaging Male Deep Learning
View on PubMed DOI

From part to whole: AI-driven progress in fragment-based drug discovery.

Current opinion in structural biology Feb 18, 2025
Fragment-based drug discovery is a technique that finds potent binding fragments to the binding hotspots and makes them a hit compound. The combination of fragments allows us to explore the large chemical space. Thus, it becomes an effective methodol...
Models, Molecular Humans Artificial Intelligence Drug Discovery Deep Learning
View on PubMed DOI

Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques.

Magma (New York, N.Y.) Feb 18, 2025
OBJECTIVE: Using deep learning-based techniques to overcome physical limitations and explore the potential performance of 0.2 T low-field unshielded MRI in terms of imaging quality and speed.
Signal-To-Noise Ratio Phantoms, Imaging Magnetic Resonance Imaging Equipment Design Humans Algorithms Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

T-ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein-Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment.

Journal of chemical information and modeling Feb 18, 2025
There is significant interest in targeting disease-causing proteins with small molecule inhibitors to restore healthy cellular states. The ability to accurately predict the binding affinity of small molecules to a protein target in silico enables the...
ErbB Receptors Uncertainty Protein Binding Proteins Ligands Drug Discovery Deep Learning Humans Neural Networks, Computer SARS-CoV-2
View on PubMed DOI
Popular Topics
Recent Journals