# IEEE Transactions on Medical Imaging

IEEE Transactions on Medical Imaging (T-MI) encourages the submission of manuscripts on imaging of body structure, morphology and function, including cell and molecular imaging and all forms of microscopy. The journal publishes original contributions on medical imaging achieved by modalities including ultrasound, x-rays, magnetic resonance, radionuclides, microwaves, and optical methods. Contributions describing novel acquisition techniques, medical image processing and analysis, visualization and performance, pattern recognition, machine learning, and related methods are encouraged. Studies involving highly technical perspectives are most welcome.

The focus of the journal is on unifying the sciences of medicine, biology, and imaging. It emphasizes the common ground where instrumentation, hardware, software, mathematics, physics, biology, and medicine interact through new analysis methods. Strong application papers that describe novel methods are particularly encouraged. Papers describing important applications based on medically adopted and/or established methods without significant innovation in methodology will be directed to other journals.

To qualify for publication, submitted manuscripts must be previously unpublished and must not be under consideration elsewhere. The Editor-in-Chief and an Associate Editor will perform a quick review of each manuscript to evaluate the manuscript in terms of novelty, quality and appropriateness and may return the manuscript immediately if it does not meet minimum standards of quality, originality, and scope. Manuscripts will ONLY be accepted in electronic format through ScholarOne Manuscripts. Please go to the ScholarOne Manuscripts website at http://mc.manuscriptcentral.com/tmi-ieee or to the TMI website http://www.ieee-tmi.org/ to find instructions to electronically submit your manuscript. Do not send original submissions or revisions directly to the Editor-in-Chief or Associate Editors.

Aims & Scope

## Latest Published Articles

• ### 3-D Quantification of Filopodia in Motile Cancer Cells

Fri Oct 05 00:00:00 EDT 2018 Fri Oct 05 00:00:00 EDT 2018
• ### Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI

Thu Oct 04 00:00:00 EDT 2018 Thu Oct 04 00:00:00 EDT 2018
• ### Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

Thu Oct 04 00:00:00 EDT 2018 Thu Oct 04 00:00:00 EDT 2018
• ### A Flexible and Modular Receiver Coil Array for Magnetic Resonance Imaging

Tue Oct 02 00:00:00 EDT 2018 Tue Oct 02 00:00:00 EDT 2018
• ### Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease

Sun Sep 30 00:00:00 EDT 2018 Sun Sep 30 00:00:00 EDT 2018
View All Latest Articles

## Popular Articles

• ### The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Thu Dec 04 00:00:00 EST 2014 Thu Dec 04 00:00:00 EST 2014
• ### Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

Fri Jan 26 00:00:00 EST 2018 Fri Jan 26 00:00:00 EST 2018
• ### Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

Fri Mar 04 00:00:00 EST 2016 Fri Mar 04 00:00:00 EST 2016
• ### Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

Tue Sep 26 00:00:00 EDT 2017 Tue Sep 26 00:00:00 EDT 2017
• ### Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Thu Feb 11 00:00:00 EST 2016 Thu Feb 11 00:00:00 EST 2016
View All Popular Papers

## Meet Our Editors

Editor-in-Chief
Michael Insana
Beckman Institute for Advanced Science and Technology
Department of Bioengineering
University of Illinois at Urbana-Champaign
Urbana, IL 61801 USA
m.f.i@ieee.org