IEEE Transactions on
Medical Imaging

Impact Factor: 10.048


We publish manuscripts on imaging of body structure, morphology and function, including cell and molecular imaging and all forms of microscopy.

Call for Papers #1: Special Issue on Federated Learning for Medical Imaging (Submission deadline: Feb. 1, 2022)

Call for Papers #2: Special Issue on Geometric Deep Learning in Medical Imaging (Submission deadline: Jan. 15, 2022)

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Highlighted Associate Editors

Kilian Pohl
Associate Editor
Associate Editor

Dr. Pohl has been an Associate Editor since 2016 and primarily oversees manuscript submissions in the area of machine learning applied to brain MRIs.

Dr. Pohl is an Associate Professor in Psychiatry and Behavioral Sciences at Stanford University, a Program Director of Biomedical Computing at SRI International, and the Director of the Computational Neuroimage Science Laboratory at Stanford University. After receiving his Ph.D. from the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology, Kilian was an Instructor at Harvard Medical School, a Research Scientist at IBM Research, and an Assistant Professor at the University of Pennsylvania. He is currently the Principal Investigator of several NIH funded projects focusing on the development of machine learning technology identifying biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders.

Dr. Pohl has been an Associate Editor since 2016 and primarily oversees manuscript submissions in the area of machine learning applied to brain MRIs.

Dr. Pohl is an Associate Professor in Psychiatry and Behavioral Sciences at Stanford University, a Program Director of Biomedical Computing at SRI International, and the Director of the Computational Neuroimage Science Laboratory at Stanford University. After receiving his Ph.D. from the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology, Kilian was an Instructor at Harvard Medical School, a Research Scientist at IBM Research, and an Assistant Professor at the University of Pennsylvania. He is currently the Principal Investigator of several NIH funded projects focusing on the development of machine learning technology identifying biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders.

Marius Staring
Associate Editor
Associate Editor

Dr. Staring has been an Associate Editor since 2019 and primarily oversees manuscript submissions in the area of machine learning for medical image analysis.

Dr. Staring is an Associate Professor in Biomedical Machine Learning at Leiden University Medical Center, Department of Radiology. His research interests encompass many of the aspects surrounding medical image formation and analysis, as well as the development of new methods for image-guided procedures such as radiotherapy. Image registration has been a focus point in his work, with the toolkit Elastix as one of the outcomes in co-development with dr. Klein. Dr. Staring has published over 100 peer reviewed papers, has been a member of program committees of MICCAI, IEEE ISBI, and SPIE Medical Imaging, and was General Chair of WBIR 2018.

Dr. Staring has been an Associate Editor since 2019 and primarily oversees manuscript submissions in the area of machine learning for medical image analysis.

Dr. Staring is an Associate Professor in Biomedical Machine Learning at Leiden University Medical Center, Department of Radiology. His research interests encompass many of the aspects surrounding medical image formation and analysis, as well as the development of new methods for image-guided procedures such as radiotherapy. Image registration has been a focus point in his work, with the toolkit Elastix as one of the outcomes in co-development with dr. Klein. Dr. Staring has published over 100 peer reviewed papers, has been a member of program committees of MICCAI, IEEE ISBI, and SPIE Medical Imaging, and was General Chair of WBIR 2018.

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