Journal of Medical Imaging

Editor-in-Chief: Maryellen L. Giger, The University of Chicago, USA

The Journal of Medical Imaging (JMI) allows for the peer-reviewed communication and archiving of fundamental and translational research, as well as applications, focused on medical imaging, a field that continues to benefit from technological improvements and yield biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal conditions.

On the cover: The image is based on research presented in the article "Improving performance and generalizability in radiogenomics: a pilot study for prediction of IDH1/2 mutation status in gliomas with multicentric data" by João Santinha et al., in the Special Section on Radiogenomics in Prognosis and Treatment, guest edited by Karen Drukker, Despina Kontos, and Hui Li for JMI Volume 8, Issue 3.

Featured Content

3D CNN classification model for accurate diagnosis of coronavirus disease 2019 using computed tomography images

Yifan Li, Xuan Pei, and Yandong Guo

Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings

Germán Corredor et al.

Radiogenomics in brain, breast, and lung cancer: opportunities and challenges

Apurva Singh, Rhea Chitalia, and Despina Kontos

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from the Journal of Medical Imaging

Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research

Samira Masoudi, et al. (2021) Open Access

COVID-19 detection and heatmap generation in chest x-ray images

Worapan Kusakunniran, et al. (2021) Open Access

Virtual clinical trials in medical imaging: a review

Ehsan Abadi, et al. (2020) Open Access

Recurrent residual U-Net for medical image segmentation

Md Zahangir Alom, Chris Yakopcic, Mahmudul Hasan, Tarek M. Taha, Vijayan K. Asari (2019) Open Access

Integrating AI into radiology workflow: levels of research, production, and feedback maturity

Engin Dikici, Matthew Bigelow, Luciano M. Prevedello, Richard D. White, Barbaros S. Erdal (2020) Open Access

Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data

Joseph Ross Mitchell, et al. (2020) Open Access

Spatiotemporal feature extraction and classification of Alzheimer’s disease using deep learning 3D-CNN for fMRI data

Harshit Parmar, Brian Nutter, Rodney Long, Sameer Antani, Sunanda Mitra (2020) Open Access

Automatic mass detection in mammograms using deep convolutional neural networks

Richa Agarwal, Oliver Diaz, Xavier Lladó, Moi Hoon Yap, Robert Martí (2019) Open Access

Multiple comparison correction methods for whole-body magnetic resonance imaging

Eva Breznik, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Robin Strand (2020) Open Access

Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines

Sarah A. Mattonen, Dev Gude, Sebastian Echegaray, Shaimaa H. Bakr, Daniel L. Rubin, Sandy Napel (2020) Open Access

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