IEEE Transactions on
Medical Imaging


IEEE Transactions on Medical Imaging publishes manuscripts on imaging of body structure, morphology and function, including cell and molecular imaging and all forms of microscopy.

Impact Factor: 7.816

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Meet Our AEs

Alejandro F Frangi
Associate Editor
Associate Editor

Prof Frangi has been an Associate Editor since 2003 and primarily oversees manuscript submissions in the areas of machine learning and image-based computational modelling in cardiovascular and musculoskeletal medicine. Since his appointment, Prof Frangi has overseen nearly 340 submissions in our journal and was guest editor of several special issues: Three-dimensional Cardiovascular Image Analysis. (with Rueckert and Duncan, 2002), Vascular Imaging (with Amini and Bullit, 2005), Medical Imaging and Image Computing in Computational Physiology (with Hose, Hunter, Ayache and Brooks, 2013), and Simulation and Synthesis in Medical Imaging (with Tsaftaris and Prince, 2018).

Prof Frangi is the Diamond Jubilee Chair in Computational Medicine at the University of Leeds with joint appointments in the Schools of Computing and the School of Medicine. He holds a Royal Academy of Engineering Chair in Emerging Technologies and is a Honorary Professor at KU Leuven, Leuven,... Read more

Prof Frangi has been an Associate Editor since 2003 and primarily oversees manuscript submissions in the areas of machine learning and image-based computational modelling in cardiovascular and musculoskeletal medicine. Since his appointment, Prof Frangi has overseen nearly 340 submissions in our journal and was guest editor of several special issues: Three-dimensional Cardiovascular Image Analysis. (with Rueckert and Duncan, 2002), Vascular Imaging (with Amini and Bullit, 2005), Medical Imaging and Image Computing in Computational Physiology (with Hose, Hunter, Ayache and Brooks, 2013), and Simulation and Synthesis in Medical Imaging (with Tsaftaris and Prince, 2018).

Prof Frangi is the Diamond Jubilee Chair in Computational Medicine at the University of Leeds with joint appointments in the Schools of Computing and the School of Medicine. He holds a Royal Academy of Engineering Chair in Emerging Technologies and is a Honorary Professor at KU Leuven, Leuven, Belgium. Prof Frangi graduated in BSc/MSc Telecommunications Engineering (1996) from the Universitat Politénica de Catalunya (Barcelona, Spain) with a thesis on image noise properties in Electrical Impedance Tomography. He was subsequently awarded a PhD in Imaging Sciences (2001) by University Medical Centre Utrecht (Utrecht, The Netherlands). His research focused on model-based cardiovascular image analysis. One of the contributions is the well-known vesselness filter, which is a classic in medical image computing. Since his PhD, he develop research interests at the interface between imaging and modelling using both data-driven (AI/ML) approaches and biomechanistic computational modelling. He held academic positions in (Zaragoza and Barcelona) Spain and the United Kingdom (Sheffield and Leeds). He was Visiting Scholar in the Chinese Academy of Sciences Presidential International Fellow Initiative scheme and is Pengcheng Visiting Scholar at Shenzhen University, School of Biomedical Engineering.

Prof Frangi has been an IEEE Member throughout his career starting as Student Member (1993) and becoming IEEE Fellow (2014). He was awarded the Early Career Award (2006) by the IEEE Engineering in Medicine and Biology Society and was General Chair of IEEE ISBI 2012 (Barcelona). He is also served as Chair of the EMB Society Fellow Nomination Committee (2018-2019) and is currently Chair of the IEEE Signal Processing Society Biomedical Imaging and Signal Processing Technical Committee. He was made SPIE Fellow in 2020.

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Ziyue Xu
Associate Editor
Associate Editor

Dr. Xu has been an Associate Editor since 2019 and primarily oversees manuscript submissions in the areas of deep learning and chest imaging.

Dr. Xu has been working on image analysis since 2004 during his B.S. years at Tsinghua University, China. He then attended to medical image analysis since 2007 when starting his Ph.D. study at the University of Iowa, USA, during which his focus was on structure modelling with application in image enhancement, registration, and segmentation. After Ph.D., Dr. Xu joined National Institutes of Health, USA and became a Staff Scientist there. During that time, he specialized in infectious disease image analysis with graph methods and machine learning. Since 2018, he joined Nvidia as a Senior Scientist. His recent research interest includes generative model and representation learning.

Dr. Xu serves as a regular reviewer for a list of journals (TMI, TBME,... Read more

Dr. Xu has been an Associate Editor since 2019 and primarily oversees manuscript submissions in the areas of deep learning and chest imaging.

Dr. Xu has been working on image analysis since 2004 during his B.S. years at Tsinghua University, China. He then attended to medical image analysis since 2007 when starting his Ph.D. study at the University of Iowa, USA, during which his focus was on structure modelling with application in image enhancement, registration, and segmentation. After Ph.D., Dr. Xu joined National Institutes of Health, USA and became a Staff Scientist there. During that time, he specialized in infectious disease image analysis with graph methods and machine learning. Since 2018, he joined Nvidia as a Senior Scientist. His recent research interest includes generative model and representation learning.

Dr. Xu serves as a regular reviewer for a list of journals (TMI, TBME, MedIA, Lancet, Nature, etc.), and program/area chair for various conferences (MICCAI, WMIC, etc.). Besides TMI, he is also an Associate Editor for the journals JBHI, CBM, and CMIG.

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