AIMC Topic: Supervised Machine Learning

Clear Filters Showing 21 to 30 of 1663 articles

Learnable Prompting SAM-Induced Knowledge Distillation for Semi-Supervised Medical Image Segmentation.

IEEE transactions on medical imaging May 2, 2025
The limited availability of labeled data has driven advancements in semi-supervised learning for medical image segmentation. Modern large-scale models tailored for general segmentation, such as the Segment Anything Model (SAM), have revealed robust g...
Supervised Machine Learning Algorithms Image Processing, Computer-Assisted Humans
View on PubMed DOI

Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation.

IEEE transactions on neural networks and learning systems May 2, 2025
Segmentation of complex medical images such as vascular network and pulmonary tracheal network requires segmentation of many tiny targets on each tomographic section of the 3-D medical image volume. Although semantic segmentation of medical images ba...
Neural Networks, Computer Algorithms Reproducibility of Results Humans Supervised Machine Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Deep Learning
View on PubMed DOI

Semi-Supervised Multimodal Representation Learning Through a Global Workspace.

IEEE transactions on neural networks and learning systems May 2, 2025
Recent deep learning models can efficiently combine inputs from different modalities (e.g., images and text) and learn to align their latent representations or to translate signals from one domain to another (as in image captioning or text-to-image g...
Humans Neural Networks, Computer Animals Deep Learning Supervised Machine Learning Algorithms Databases, Factual
View on PubMed DOI

Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome.

BMC medical informatics and decision making May 1, 2025
BACKGROUND AND OBJECTIVE: This study has two main objectives. First, to evaluate a feature selection methodology based on SEQENS, an algorithm for identifying relevant variables. Second, to validate machine learning models that predict the risk of co...
Supervised Machine Learning Spain Leukemia, Myeloid, Acute Male Middle Aged Young Adult Adult Female Aged Humans
View on PubMed DOI

Supervised and unsupervised learning reveal heroin-induced impairments in astrocyte structural plasticity.

Science advances Apr 30, 2025
Astrocytes regulate synaptic activity across large brain territories via their complex, interconnected morphology. Emerging evidence supports the involvement of astrocytes in shaping relapse to opioid use through morphological rearrangements in the n...
Animals Supervised Machine Learning Male Unsupervised Machine Learning Neuronal Plasticity Nucleus Accumbens Astrocytes Heroin
View on PubMed DOI

Self-supervised learning for label-free segmentation in cardiac ultrasound.

Nature communications Apr 30, 2025
Segmentation and measurement of cardiac chambers from ultrasound is critical, but laborious and poorly reproducible. Neural networks can assist, but supervised approaches require the same problematic manual annotations. We build a pipeline for self-s...
Heart Ventricles Echocardiography Female Supervised Machine Learning Reproducibility of Results Magnetic Resonance Imaging Humans Deep Learning Male Neural Networks, Computer Image Processing, Computer-Assisted Heart
View on PubMed DOI

Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction.

International journal of neural systems Apr 28, 2025
Automatic seizure prediction based on ElectroEncephaloGraphy (EEG) ensures the safety of patients with epilepsy and mitigates anxiety. In recent years, significant progress has been made in this field. However, the predictive performance of existing ...
Humans Seizures Supervised Machine Learning Fourier Analysis Electroencephalography Epilepsy Convolutional Neural Networks
View on PubMed DOI

Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.

Translational psychiatry Apr 27, 2025
Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) remain elusive in treatment-resistant depression (TRD). Leveraging electronic medical records (EMR), this retrospective cohort study applied supervise...
Adult Male Electronic Health Records Transcranial Magnetic Stimulation Humans Middle Aged Female Treatment Outcome Depressive Disorder, Treatment-Resistant Retrospective Studies Aged Supervised Machine Learning
View on PubMed DOI

TransAnno-Net: A Deep Learning Framework for Accurate Cell Type Annotation of Mouse Lung Tissue Using Self-supervised Pretraining.

Computer methods and programs in biomedicine Apr 24, 2025
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has become a significant tool for addressing complex issuess in the field of biology. In the context of scRNA-seq analysis, it is imperative to accurately determine the type of each cell. However, co...
Algorithms Animals Sequence Analysis, RNA Deep Learning Lung Mice Single-Cell Analysis Supervised Machine Learning Computational Biology
View on PubMed DOI

SS-EMERGE - self-supervised enhancement for multidimension emotion recognition using GNNs for EEG.

Scientific reports Apr 24, 2025
Self-supervised learning (SSL) is a potent method for leveraging unlabelled data. Nonetheless, EEG signals, characterised by their low signal-to-noise ratio and high-frequency attributes, often do not surpass fully-supervised techniques in cross-subj...
Electroencephalography Supervised Machine Learning Humans Emotions Neural Networks, Computer Algorithms
View on PubMed DOI
Popular Topics
Recent Journals