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IEEE Transactions on Medical Imaging publication information

Improving Paralysis Compensation in Photon Counting Detectors

A Novel Multiresolution-Statistical Texture Analysis Architecture: Radiomics-Aided Diagnosis of PDAC Based on Plain CT Images

3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model and a DC-BLSTM Network

A Learning-Based Microultrasound System for the Detection of Inflammation of the Gastrointestinal Tract

Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients

Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

Real-Time Gain Control of PET Detectors and Evaluation With Challenging Radionuclides

Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging

Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs

Wasserstein GANs for MR Imaging: From Paired to Unpaired Training

End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network

Optimization of MRI Gradient Coils With Explicit Peripheral Nerve Stimulation Constraints

CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading

PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images

Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution

SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images

Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan

Performance Evaluation and Compatibility Studies of a Compact Preclinical Scanner for Simultaneous PET/MR Imaging at 7 Tesla

Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks

Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images

Uncertainty Quantification in Deep MRI Reconstruction

Regional Lung Perfusion Analysis in Experimental ARDS by Electrical Impedance and Computed Tomography

SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation

Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation

SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors

Improving Blood Vessel Tortuosity Measurements via Highly Sampled Numerical Integration of the Frenet-Serret Equations

Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy

Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks

Internal-Illumination Photoacoustic Tomography Enhanced by a Graded-Scattering Fiber Diffuser

Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module

Augmented Reality Guided Laparoscopic Surgery of the Uterus

Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks

DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors

A CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep Learning

Learning Common Harmonic Waves on Stiefel Manifold – A New Mathematical Approach for Brain Network Analyses

Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation

Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning

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Table of contents

IEEE Transactions on Medical Imaging publication information

Investigation of CdTe, GaAs, Se and Si as Sensor Materials for Mammography

Throughput-Speed Product Augmentation for Scanning Fiber-Optic Two-Photon Endomicroscopy

Parameterized Strain Estimation for Vascular Ultrasound Elastography With Sparse Representation

Shape-Driven Difference Electrical Impedance Tomography