Editorial Board
A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning
Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection
A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images
Fully convolutional attention network for biomedical image segmentation
Temporal matrix completion with locally linear latent factors for medical applications
Data reduction and data visualization for automatic diagnosis using gene expression and clinical data
Missing data imputation and synthetic data simulation through modeling graphical probabilistic dependencies between variables (ModGraProDep): An application to breast cancer survival
Integrative blockwise sparse analysis for tissue characterization and classification
Bayesian networks in healthcare: Distribution by medical condition
The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI
Integrating expert’s knowledge constraint of time dependent exposures in structure learning for Bayesian networks
Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury
Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study
CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction
Detection of early stages of Alzheimer’s disease based on MEG activity with a randomized convolutional neural network
Learning an expandable EMR-based medical knowledge network to enhance clinical diagnosis
A novel method for predicting the progression rate of ALS disease based on automatic generation of probabilistic causal chains
Automated detection of dynamical change in EEG signals based on a new rhythm measure
Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization
A generic approach for cell segmentation based on Gabor filtering and area-constrained ultimate erosion
Breast ultrasound region of interest detection and lesion localisation
A case-based ensemble learning system for explainable breast cancer recurrence prediction
Predicting the causative pathogen among children with osteomyelitis using Bayesian networks – improving antibiotic selection in clinical practice
Internet of things-inspired healthcare system for urine-based diabetes prediction
Near-optimal insulin treatment for diabetes patients: A machine learning approach
Learning personalized ADL recognition models from few raw data
