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

Phaneendra Yalavarthy
Associate Editor
Associate Editor

Dr. Phaneendra Yalavarthy has been an Associate Editor since 2017 and primarily oversees manuscript submissions in the areas of Biomedical Optical Imaging, Low-dose CT Imaging, as well as Perfusion imaging.

Dr. Phaneendra Yalavarthy received a Ph.D., working as a U.S. Department of Defense Breast Cancer Pre-doctoral Fellow, in biomedical computation from Dartmouth College, Hanover, USA in 2007. He worked as a post-doctoral research associate in the Department of Radiation Oncology, School of Medicine, Washington University in St. Louis, USA from 2007-2008. He joined as an assistant professor at Indian Institute of Science (IISc), Bangalore in 2008 and where he is currently an associate professor in the Department of Computational and Data Sciences. He served as the chair of the department for the period 2016-2018.

His research interests include Computational methods in medical imaging, deep learning in medical imaging, medical image processing (reconstruction/analysis),... Read more

Dr. Phaneendra Yalavarthy has been an Associate Editor since 2017 and primarily oversees manuscript submissions in the areas of Biomedical Optical Imaging, Low-dose CT Imaging, as well as Perfusion imaging.

Dr. Phaneendra Yalavarthy received a Ph.D., working as a U.S. Department of Defense Breast Cancer Pre-doctoral Fellow, in biomedical computation from Dartmouth College, Hanover, USA in 2007. He worked as a post-doctoral research associate in the Department of Radiation Oncology, School of Medicine, Washington University in St. Louis, USA from 2007-2008. He joined as an assistant professor at Indian Institute of Science (IISc), Bangalore in 2008 and where he is currently an associate professor in the Department of Computational and Data Sciences. He served as the chair of the department for the period 2016-2018.

His research interests include Computational methods in medical imaging, deep learning in medical imaging, medical image processing (reconstruction/analysis), physiological signal processing, diffuse optical imaging, and photoacoustic imaging. He published more than 50 journal papers, including in IEEE Transactions on Medical Imaging, Medical Physics, Journal of Biomedical Optics, and IEEE Journal of Selected Topics in Quantum Electronics. He is a senior member of IEEE, OSA, & SPIE. More details can be found here: http://cds.iisc.ac.in/faculty/yalavarthy/

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Jong Chul Ye
Associate Editor
Associate Editor

Dr. Jong Chul Ye has been an Associate Editor since 2018 and primarily oversees manuscript submissions in the areas of machine learning.

Dr. Ye is an IEEE Fellow, Chair of IEEE SPS Computational Imaging TC, and IEEE EMBS Distinguished Lecturer. He was a General Co-chair for 2020 IEEE Symp. On Biomedical Imaging (ISBI) (with Mathews Jacob), and is a Program Co-Chair for 2024 ICASSP. His group was the first winner of the 2009 Recon Challenge at the ISMRM workshop with k-t FOCUSS algorithm, and the runner-up at 2016 Low Dose CT Grand Challenge organized by the American Association of Physicists in Medicine (AAPM) with the world’s first deep learning algorithm for low-dose CT reconstruction. His current research interests focus is deep learning theory and algorithms for various imaging reconstruction problems in x-ray CT, MRI, optics, ultrasound, remote sensing, etc.

Dr. Jong Chul Ye has been an Associate Editor since 2018 and primarily oversees manuscript submissions in the areas of machine learning.

Dr. Ye is an IEEE Fellow, Chair of IEEE SPS Computational Imaging TC, and IEEE EMBS Distinguished Lecturer. He was a General Co-chair for 2020 IEEE Symp. On Biomedical Imaging (ISBI) (with Mathews Jacob), and is a Program Co-Chair for 2024 ICASSP. His group was the first winner of the 2009 Recon Challenge at the ISMRM workshop with k-t FOCUSS algorithm, and the runner-up at 2016 Low Dose CT Grand Challenge organized by the American Association of Physicists in Medicine (AAPM) with the world’s first deep learning algorithm for low-dose CT reconstruction. His current research interests focus is deep learning theory and algorithms for various imaging reconstruction problems in x-ray CT, MRI, optics, ultrasound, remote sensing, etc.