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IEEE Transactions on Medical Imaging publication information

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy

Multi-Contrast Super-Resolution MRI Through a Progressive Network

Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI

Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics

Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis

Block Level Skip Connections Across Cascaded V-Net for Multi-Organ Segmentation

Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images

ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation

Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification

Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction

A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images

A Question-Centric Model for Visual Question Answering in Medical Imaging

Self-Navigated Three-Dimensional Ultrashort Echo Time Technique for Motion-Corrected Skull MRI

A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal

Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks

Multi-Task Siamese Network for Retinal Artery/Vein Separation via Deep Convolution Along Vessel

PathSRGAN: Multi-Supervised Super-Resolution for Cytopathological Images Using Generative Adversarial Network

Model-Based Reconstruction of Large Three-Dimensional Optoacoustic Datasets

Multi-Operator Minimum Variance Adaptive Beamforming Algorithms Accelerated With GPU

Shape Reconstruction Using Boolean Operations in Electrical Impedance Tomography

Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages

Discriminative Regularized Auto-Encoder for Early Detection of Knee OsteoArthritis: Data from the Osteoarthritis Initiative

IEEE Transactions on Medical Imaging information for authors

Table of contents

IEEE Transactions on Medical Imaging publication information

Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19

Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

Towards Contactless Patient Positioning

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IEEE Transactions on Medical Imaging information for authors

Table of contents

IEEE Transactions on Medical Imaging publication information

SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network

Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning

An Optimal, Generative Model for Estimating Multi-Label Probabilistic Maps

A Robust Regularizer for Multiphase CT