A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology
Global and local attentional feature alignment for domain adaptive nuclei detection in histopathology images
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images
An interpretable CNN-based CAD system for skin lesion diagnosis
Explainable multiple abnormality classification of chest CT volumes
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images
Automatic diagnosis of arrhythmia with electrocardiogram using multiple instance learning: From rhythm annotation to heartbeat prediction
Boosting lesion annotation via aggregating explicit relations in external medical knowledge graph
A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates
Automatic depression score estimation with word embedding models
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system
Defining factors in hospital admissions during COVID-19 using LSTM-FCA explainable model
Predicting disease progress with imprecise lab test results
Septic shock prediction and knowledge discovery through temporal pattern mining
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications
Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review
Suicidal behaviour prediction models using machine learning techniques: A systematic review