Editor-in-Chief

Leslie Ying
STATE UNIVERSITY OF NEW YORK AT BUFFALO, USA

Leslie Ying is currently a Clifford C. Furnas Chair Professor of Biomedical Engineering and Electrical Engineering at University at Buffalo, the State University of New York. Her research interests include magnetic resonance imaging, image reconstruction, compressed sensing, and machine learning. She received a CAREER award from the National Science Foundation in 2009. She served as an Associate Editor of IEEE Transactions on Biomedical Engineering, Deputy Editor of Magnetic Resonance in Medicine, and Editorial Board Member of Scientific Reports. She was elected to the Administrative Committee (AdCom) of IEEE Engineering in Medicine and Biology Society 2013-2015, and served on the Steering Committee of IEEE Transactions on Medical Imaging.

Dr. Ying received her B.E. in Electronics Engineering from Tsinghua University, China in 1997 and both her M.S. and Ph.D. in Electrical Engineering from the University of Illinois at Urbana - Champaign in 1999 and 2003, respectively.

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Managing Editor

Rutao Yao
STATE UNIVERSITY OF NEW YORK AT BUFFALO, USA

Rutao Yao is a professor in the Department of Nuclear Medicine at State University of New York at Buffalo. His research interest is in developing high performance PET and SPECT imaging techniques to support biomedical applications for early disease diagnosis and new drug development. He teaches radiation science and nuclear medicine imaging physics to undergraduate and graduate students.

Dr. Yao received his B.E. and M.E. in Engineering Physics from Tsinghua University, China in 1985 and 1987, respectively; and Ph.D. in Nuclear Medicine and Radiobiology from the Université de Sherbrooke, Canada in 1997.

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Associate Editors

Purang Abolmaesumi
University of British Columbia, Canada
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Amir Amini
University of Louisville, USA
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Stephen Aylward
Kitware, Inc., USA
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Ulas Bagci
Northwestern University, USA
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Muyinatu Bell
Johns Hopkins University, USA
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Delia Cabrera DeBuc
University of Miami, USA
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Elvis Chen
Robarts Research Institute, Canada
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Jun Cheng
Cixi Institute of Biomedical Engineering, China
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Ela Claridge
University of Birmingham, United Kingdom
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Jeremy Dahl
Stanford University, USA
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Margaret Daube-Witherspoon
University of Pennsylvania, USA
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Christos Davatzikos
University of Pennsylvania, USA
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Alejandro Frangi
University of Leeds, United Kingdom
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Huazhu Fu
Inception Institute of Artificial Intelligence, UAE
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Mehrdad Gangeh
Sunnybrook HSC, Canada
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Justin Haldar
University of Southern California, USA
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Mathews Jacob
University of Iowa, USA
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Bernhard Kainz
Imperial College, United Kingdom
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Chulhong Kim
Pohang University of Science and Technology, Korea
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Elizabeth A. Krupinski
Emory University, USA
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Patrick La Riviere
University of Chicago, USA
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Fan Lam
University of Illinois Urbana-Champaign, USA
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Bennett Landman
Vanderbilt University, USA
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Roberto Lavarello
Pontificia Universidad Catolica del Peru, Peru
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Baiying Lei
SHENZHEN UNIVERSITY, CHINA
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Karim Lekadir
Universitat de Barcelona, Spain
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Quanzheng Li
Harvard Medical School, USA
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Dong Liang
Paul C Lauterbur Research Center for Biomedical Imaging, China
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Jerome Liang
State University of New York at Stony Brook, USA
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Hongbing Lu
The Fourth Military Medical University, China
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Jianhua Ma
Southern Medical University, China
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Tianyu Ma
Tsinghua University, China
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Erik Meijering
University of New South Wales, Australia
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Ling-Jian Meng
University of Illinois at Urbana-Champaign, USA
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Jennifer L. Mueller
Colorado State University, USA
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Arrate Munoz-Barrutia
Universidad Carlos III de Madrid, Spain
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Peter Noël
UNIVERSITY OF PENNSYLVANIA, USA
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Frederic Noo
University of Utah, USA
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Carlos Ortiz de Solorzano
Universidad de Navarra, Spain
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John M. Pauly
Stanford University, USA
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Gennaro Percannella
University of Salerno Fisciano (SA), Italy
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Josien Pluim
Eindhoven University of Technology, Netherlands
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Kilian Pohl
SRI International, USA
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Jinyi Qi
University of California, USA
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Tammy Riklin Raviv
Ben-Gurion University of the Negev, Israel
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Hassan Rivaz
Concordia University, Canada
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Holger Roth
NVIDIA Corp., USA
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Daniel Rueckert
Imperial College, United Kingdom
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Emine Ulku Saritas
Bilkent University, Turkey
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Julia Schnabel
The King's College, United Kingdom
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Nicole Seiberlich
Case Western Reserve University, USA
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Eva Sevick-Muraca
University of Texas, USA
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Dinggang Shen
United Imaging Intelligence (UII), China
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Jan Sijbers
University of Antwerp, Belgium
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Hamid Soltanian-Zadeh
University of Tehran, Iran
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Marius Staring
Leiden University, Netherlands
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J. Webster Stayman
Johns Hopkins University, USA
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Brad Sutton
University of Illinois at Urbana-Champaign, USA
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Russell Taylor
Johns Hopkins University, USA
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Philippe Thevenaz
Swiss Federal Institute of Technology, Switzerland
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Sotirios Tsaftaris
University of Edinburgh, United Kingdom
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Matthew Urban
Mayo Clinic, USA
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Koen Van Leemput
Massachusetts General Hospital, USA
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Ge Wang
Rensselaer Polytechnic Institute, USA
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Yu-Ping Wang
Tulane University, USA
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Daniel Weller
KLA Corp., USA
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Ziyue Xu
Nvidia Corp., USA
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Phaneendra Yalavarthy
Indian Institute of Science, India
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Xin Yang
Huazhong University of Science and Technology, China
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Jong Chul Ye
KAIST Daejeon, Korea
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Xiaoliang Zhang
State University of New York at Buffalo, USA
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Yefeng Zheng
Tencent Youtu X-Lab, China
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Luping Zhou
The University of Sydney, Australia
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S. Kevin Zhou
ICT/CAS, China
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Scientific Advisory Board

James S. Duncan is the Ebenezer K. Hunt Professor of Biomedical Engineering and a Professor of Diagnostic Radiology and Electrical Engineering at Yale University. Professor Duncan received his B.S.E.E. with honors from Lafayette College (1973), his M.S. (1975) from UCLA and Ph.D. (1982) in Electrical Engineering from the University of Southern California.

Professor Duncan has been at Yale University since 1983, and the Ebenezer K. Hunt Professor of Biomedical Engineering at Yale University since 2007. He has served as the Acting Chair and is currently Director of Undergraduate Studies for Biomedical Engineering. His research efforts have been in the areas of computer vision, image processing, and medical imaging, with an emphasis on biomedical image analysis. These efforts have included the segmentation of deformable structure from 3D image data, the tracking of non-rigid motion/deformation from spatiotemporal images, and the development of strategies for image-guided intervention/surgery. He has published over 220 peer-reviewed articles in these areas and has been the principal investigator on a number of peer-reviewed grants from both the National Institutes of Health and the National Science Foundation over the past 28 years.

Professor Duncan is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE), of the American Institute for Medical and Biological Engineering (AIMBE) and of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society. He currently serves as co-Editor-in-Chief of Medical Image Analysis and as an Associate Editor of IEEE Transactions on Medical Imaging. In 2012, he was elected to the Council of Distinguished Investigators, Academy of Radiology Research. In 2014, he was elected to the Connecticut Academy of Science and Engineering.

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Jeff Fessler received the BSEE degree from Purdue University in 1985, the MSEE degree from Stanford University in 1986, and the M.S. degree in Statistics from Stanford University in 1989. From 1985 to 1988 he was a National Science Foundation Graduate Fellow at Stanford, where he earned a Ph.D. in electrical engineering in 1990. He has worked at the University of Michigan since then. From 1991 to 1992 he was a Department of Energy Alexander Hollaender Post-Doctoral Fellow in the Division of Nuclear Medicine. From 1993 to 1995 he was an Assistant Professor in Nuclear Medicine and the Bioengineering Program. He is now a Professor in the Departments of Electrical Engineering and Computer Science, Radiology, and Biomedical Engineering.

He became a Fellow of the IEEE in 2006, for contributions to the theory and practice of image reconstruction. He received the Francois Erbsmann award for his IPMI93 presentation, and the Edward Hoffman Medical Imaging Scientist Award in 2013. He has served as an associate editor for IEEE Transactions on Medical Imaging, the IEEE Signal Processing Letters, and the IEEE Transactions on Image Processing, and is currently serving as an associate editor for the IEEE Transactions on Computational Imaging. He has chaired the IEEE T-MI Steering Committee and the ISBI Steering Committee. He was co-chair of the 1997 SPIE conference on Image Reconstruction and Restoration, technical program co-chair of the 2002 IEEE International Symposium on Biomedical Imaging (ISBI), and general chair of ISBI 2007. His research interests are in statistical aspects of imaging problems, and he has supervised doctoral research in PET, SPECT, X-ray CT, MRI, and optical imaging problems.

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Richard Leahy is a Professor of Electrical Engineering, Biomedical Engineering, and Radiology at the University of Southern California and Director of the USC Signal and Image Processing Institute. Dr. Leahy is a Fellow of the IEEE and the recipient of the 2010 Hoffman Medical Imaging Scientist Award from the IEEE Nuclear and Plasma Sciences Society.

He was general conference chair for IEEE ISBI 2004 and Fully3D 2013 and has held editorial positions with IEEE Trans Med Imaging, Phys Med Bio and Neuroimage. He has published more than 200 papers in the field of biomedical signal and image processing.

His research interests lie in the application of signal and image processing to the formation and analysis of biomedical images, with applications in neuroimaging and molecular imaging using PET, MRI and EEG/MEG.

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Nassir Navab, PhD earned his Ph.D. at INRIA/Paris XI, followed by two years of postdoctoral research at MIT Media Laboratory. He joined Siemens Corporate Research in Princeton New Jersey in 1994. He received the Siemens Inventor of the Year award in 2001 and hold the title of distinguished member of technical staff at Siemens Corporate Research until September 2003, when he became a full professor at the Technische Universitat Munchen and chair for Computer Aided Medical Procedures and Augmented Reality (CAMP). One of the founders of IEEE International Symposium on Mixed and Augmented Reality (ISMAR) community in 2001, he served on its steering committee until October 2008. He is currently a fellow and member of board of directors of the MICCAI Society, the organizer of the world’s leading conference on medical image computing and computer assisted intervention. He is also on the editorial board of many international journals, including IEEE TMI, Medical Image Analysis and International Journal of Computer Vision. He has authored hundreds of scientific publications, has received more than 9200 citations and holds 44 granted US patents and more than 50 International ones.

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Julia A. Schnabel received the Diploma degree in computer science (equivalent to M.Sc. degree) from the Technical University Berlin, Berlin, Germany, and the Ph.D. degree in computer science from University College London, London, U.K. In 2007, she joined the University of Oxford, Oxford, U.K., as an Associate Professor in Engineering Science (medical imaging), in association with a Fellowship in Engineering at St. Hilda’s College, Oxford. In 2014, she became the Professor of Engineering Science by Recognition of Distinction. She previously was a Postdoctoral Research Associate/Fellow at University Medical Center Utrecht, Utrecht, The Netherlands, King’s College London, London, and University College London.

Dr. Schnabel joined King’s College London and the School of Biomedical Engineering and Imaging Sciences in 2015 as the new Chair in Computational Imaging. Her current research interests include machine/deep learning, nonlinear motion modeling, as well as multimodality, dynamic, and quantitative imaging for a wide range of medical imaging applications. She has published over 300 peer-reviewed articles in these topics, and has supervised over 50 Ph.D. students and postdoctoral researchers.

Dr. Schnabel is a Senior Member of IEEE, Fellow of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society and a Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS). She currently serves as an Associate Editor of the IEEE Transactions on Medical Imaging and the IEEE Transactions on Biomedical Engineering. She also serves on the Editorial Board of Medical Image Analysis, and is an Executive Editor of Machine Learning in Biomedical Imaging.

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Erik Meijering is a Professor of Biomedical Image Computing at the University of New South Wales (UNSW), Sydney, Australia. He received the MSc degree in Electrical Engineering with honors from Delft University of Technology in 1996 and the PhD degree in Medical Image Analysis from Utrecht University in the Netherlands in 2000. From 2000 to 2002 he was a Postdoctoral Fellow at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland. He returned to the Netherlands to join Erasmus University Medical Center as Assistant Professor in 2002 and Associate Professor in 2008.

Professor Meijering has been with UNSW, School of Computer Science and Engineering, since 2019, where he leads a research group developing advanced computational methods for efficient and reliable analysis of biomedical imaging data. These methods are increasingly based on artificial intelligence approaches involving machine and deep learning. Over the years he and his group have developed novel solutions for image restoration, super-resolution, registration, object detection, segmentation, tracking, and downstream quantitative analysis, in particular in the area of biological microscopy imaging. His >100 peer-reviewed scientific papers have been cited over 10,000 times and his software tools are used by thousands worldwide.

Professor Meijering is a Fellow of the IEEE, for contributions to computational methods for biological image analysis. He is a member of the Bio Imaging and Signal Processing (BISP) Technical Committee of the IEEE Signal Processing Society (which he chaired from 2018-2019), the Biomedical Imaging and Image Processing (BIIP) Technical Committee of the IEEE Engineering in Medicine and Biology Society, and the cross-Society IEEE Life Sciences Technical Community (LSTC). He is an Associate Editor for the IEEE Transactions on Medical Imaging (since 2004) and previously served in that role for the International Journal on Biomedical Imaging (2006-2009) and the IEEE Transactions on Image Processing (2008-2011). He has also co-edited various journal special issues and co-organized conferences in the field, notably the IEEE International Symposium on Biomedical Imaging (ISBI) and the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), and served/serves on a great variety of other conference, advisory, and review boards.

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Review the Manuscript Central Editorial Guide.