MEDICAL IMAGE ANALYSIS

MILD‐Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem

Medical image classification using synergic deep learning

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification

Evaluating reinforcement learning agents for anatomical landmark detection

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Self-supervised learning for medical image analysis using image context restoration

Micro‐Net: A unified model for segmentation of various objects in microscopy images

Integrating spatial configuration into heatmap regression based CNNs for landmark localization

Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net☆

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

Combined tract segmentation and orientation mapping for bundle-specific tractography

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy

Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network

Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network

Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects☆

Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising

Learning to detect lymphocytes in immunohistochemistry with deep learning

Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration

Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks

Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation

Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI

Automatic graph‐based method for localization of cochlear implant electrode arrays in clinical CT with sub‐voxel accuracy

Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation

Population shrinkage of covariance (PoSCE) for better individual brain functional‐connectivity estimation☆

Factorised Representation Learning in Cardiac Image Analysis

A modality‐adaptive method for segmenting brain tumors and organs‐at‐risk in radiation therapy planning

AAR‐RT – A system for auto‐contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large‐scale evaluation on head‐and‐neck and thoracic cancer cases

Removing segmentation inconsistencies with semi-supervised non-adjacency constraint

Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks

Disease quantification on PET/CT images without explicit object delineation

Hierarchical spherical deformation for cortical surface registration

Repetitive motion compensation for real time intraoperative video processing

An algorithm for learning shape and appearance models without annotations

Discovering hierarchical common brain networks via multimodal deep belief network

Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information

Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis

Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings

Optimal surface segmentation with convex priors in irregularly sampled space

Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach

Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video

Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach

Exploiting structural redundancy in q‐space for improved EAP reconstruction from highly undersampled (k, q)‐space in DMRI☆

Surface-constrained volumetric registration for the early developing brain

Multiple‐correlation similarity for block‐matching based fast CT to ultrasound registration in liver interventions

Bayesian bacterial detection using irregularly sampled optical endomicroscopy images