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IEEE Transactions on Medical Imaging publication information

Breast Cancer: Model Reconstruction and Image Registration From Segmented Deformed Image Using Visual and Force Based Analysis

Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

Induced-Current Learning Method for Nonlinear Reconstructions in Electrical Impedance Tomography

Generalized MPI Multi-Patch Reconstruction Using Clusters of Similar System Matrices

A Spatio-Temporal Ageing Atlas of the Proximal Femur

Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT

A Multi-Organ Nucleus Segmentation Challenge

Dense Dilated Network With Probability Regularized Walk for Vessel Detection

A Spatio-Temporal Model of Seizure Propagation in Focal Epilepsy

A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans

Identifying Morphological Indicators of Aging With Neural Networks on Large-Scale Whole-Body MRI

Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods

Automatic Diagnosis Based on Spatial Information Fusion Feature for Intracranial Aneurysm

Automatic Radiofrequency Ablation Planning for Liver Tumors With Multiple Constraints Based on Set Covering

Independent Component-Based Spatiotemporal Clutter Filtering for Slow Flow Ultrasound

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Revealing the Microscopic Structure of Human Renal Cell Carcinoma in Three Dimensions

Toblerone: Surface-Based Partial Volume Estimation

Toward Precise Osteotomies: A Coarse-to-Fine 3D Cut Plane Planning Method for Image-Guided Pelvis Tumor Resection Surgery

Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging

Simultaneous Morphological and Flow Imaging Enabled by Megahertz Intravascular Doppler Optical Coherence Tomography

Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography

A Spatial Coherence Beamformer Design for Power Doppler Imaging

Imaging of Nonlinear and Dynamic Functional Brain Connectivity Based on EEG Recordings With the Application on the Diagnosis of Alzheimer’s Disease

Dilated Residual Learning With Skip Connections for Real-Time Denoising of Laser Speckle Imaging of Blood Flow in a Log-Transformed Domain

Progressively Trained Convolutional Neural Networks for Deformable Image Registration

Heterogeneous Angular Spectrum Method for Trans-Skull Imaging and Focusing

De-smokeGCN: Generative Cooperative Networks for Joint Surgical Smoke Detection and Removal

Dynamic Cell Imaging in PET With Optimal Transport Regularization

Head Motion Correction Based on Filtered Backprojection in Helical CT Scanning

Accelerating Non-Cartesian MRI Reconstruction Convergence Using k-Space Preconditioning

Neural Segmentation of Seeding ROIs (sROIs) for Pre-Surgical Brain Tractography

4D Flow MRI Pressure Estimation Using Velocity Measurement-Error-Based Weighted Least-Squares

An Efficient Method for Multi-Parameter Mapping in Quantitative MRI Using B-Spline Interpolation

K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence

Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing

Efficient DCE-MRI Parameter and Uncertainty Estimation Using a Neural Network

Optimization of Drive Parameters for Resolution, Sensitivity and Safety in Magnetic Particle Imaging

Circular Clustering in Fuzzy Approximation Spaces for Color Normalization of Histological Images

Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data

Difference-Frequency Ultrasound Imaging With Non-Linear Contrast

Echocardiogram Analysis Using Motion Profile Modeling

Nonlinear Inversion MR Elastography With Low-Frequency Actuation

Call for Papers IEEE Transactions on Medical Imaging Special Issue on Annotation-Efficient Deep Learning for Medical Imaging

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