Jerry Ladd Prince | |
---|---|
Nationality | American |
Alma mater | Univ. of Connecticut (BS) M.I.T. (PhD) |
Known for | Harmonic phase Gradient vector flow |
Scientific career | |
Fields | Electrical and Computer Engineering |
Institutions | Johns Hopkins University |
Thesis | Geometric model-based estimations from projections (1988) |
Doctoral advisor | Alan S. Willsky |
Doctoral students | Christos Davatzikos |
Website | https://iacl.ece.jhu.edu/ |
Jerry Ladd Prince is the William B. Kouwenhoven Professor of Electrical and Computer Engineering at Johns Hopkins University. He has over 44,000 citations, and an h-index of 85.
Prince received a BS degree in Electrical Engineering and Computer Science from the University of Connecticut, and a doctorate in Electrical Engineering from the Massachusetts Institute of Technology.
His research involves 3-D medical image reconstruction, registration, segmentation, and shape and motion analysis. He is noted for developing the Harmonic phase (HARP) algorithm for extracting and processing motion information from tagged magnetic resonance image (MRI) sequences for cardiac motion. He also holds appointments in the departments of Applied Mathematics and Statistics, and Computer Science at Johns Hopkins University, as well as in the departments of Biomedical Engineering and Radiology at the Johns Hopkins University School of Medicine. As such, he has been involved in "developing digital head models for faster, more precise diagnoses" of head injuries, such as those seen in sport. [1]
Prince received a National Science Foundation Presidential Faculty Fellowship in 1993. He was associate editor of IEEE Transactions on Image Processing , associate editor of IEEE Transactions on Medical Imaging and as of 2020 was a member of the editorial board of Medical Image Analysis . [2] In 2011, he become a Fellow [3] of the MICCAI Society.
In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics.
Linda G. Shapiro is a professor in the Department of Computer Science and Engineering, a professor of electrical engineering, and adjunct professor of Biomedical Informatics and Medical Education at the University of Washington.
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Michael Ira Miller is an American-born biomedical engineer and data scientist, and the Bessie Darling Massey Professor and Director of the Johns Hopkins University Department of Biomedical Engineering. He worked with Ulf Grenander in the field of Computational Anatomy as it pertains to neuroscience, specializing in mapping the brain under various states of health and disease by applying data derived from medical imaging. Miller is the director of the Johns Hopkins Center for Imaging Science, Whiting School of Engineering and codirector of Johns Hopkins Kavli Neuroscience Discovery Institute. Miller is also a Johns Hopkins University Gilman Scholar.
Subhasis Chaudhuri is an Indian electrical engineer and former director at the Indian Institute of Technology, Bombay. He is a former K. N. Bajaj Chair Professor of the Department of Electrical Engineering of IIT Bombay. He is known for his pioneering studies on computer vision and is an elected fellow of all the three major Indian science academies viz. the National Academy of Sciences, India, Indian Academy of Sciences, and Indian National Science Academy. He is also a fellow of Institute of Electrical and Electronics Engineers, and the Indian National Academy of Engineering. The Council of Scientific and Industrial Research, the apex agency of the Government of India for scientific research, awarded him the Shanti Swarup Bhatnagar Prize for Science and Technology, one of the highest Indian science awards, in 2004 for his contributions to Engineering Sciences.
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Julia Alison Noble is a British engineer. She has been Technikos Professor of Biomedical Engineering at the University of Oxford and a fellow of St Hilda's College since 2011, and Associate Head of the Mathematical, Physical and Life Sciences Division at the university. As of 2017, she is the chief technology officer of Intelligent Ultrasound Limited, an Oxford spin-off in medical imaging that she cofounded. She was director of the Oxford Institute of Biomedical Engineering (IBME) from 2012 to 2016. In 2023 she became the Foreign Secretary of The Royal Society.
Alan Yuille is a Bloomberg Distinguished Professor of Computational Cognitive Science with appointments in the departments of Cognitive Science and Computer Science at Johns Hopkins University. Yuille develops models of vision and cognition for computers, intended for creating artificial vision systems. He studied under Stephen Hawking at Cambridge University on a PhD in theoretical physics, which he completed in 1981.
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Gregory D. Hager is the Mandell Bellmore Professor of Computer Science and founding director of the Johns Hopkins Malone Center for Engineering in Healthcare at Johns Hopkins University.
Leslie Ying is an American biomedical engineering scientist in the field of medical imaging. She is the Clifford C. Furnas Professor of Biomedical Engineering and Electrical Engineering at University at Buffalo, The State University of New York. Ying is the Editor-in-Chief of IEEE Transactions on Medical Imaging and is also an American Institute for Medical and Biological Engineering (AIMBE) Fellow.
Julia A. Schnabel is Professor in Computational Imaging and AI in Medicine at Technische Universität München, Director of the Institute of Machine Learning in Biomedical Imaging at Helmholtz Zentrum München, and Chair of Computational Imaging at the School of Biomedical Engineering and Imaging Sciences at King's College London. Previously, she was Associate Professor in Engineering Science at University of Oxford where she became Full Professor of Engineering Science in 2014.
The MICCAI Society is a professional organization for scientists in the areas of Medical Image Computing and Computer Assisted Interventions. Due to the multidisciplinary nature of these fields, the society brings together researchers from several scientific disciplines. including computer science, robotics, physics, and medicine. The society is best known for its annual flagship event, The MICCAI Conference, which facilitates the publication and presentation of original research on MICCAI-related topics. However, the society provides endorsements and sponsorships for several scientific events each year.
Medical Image Analysis (MedIA) is a peer-reviewed academic journal which focuses on medical and biological image analysis. The journal publishes papers which contribute to the basic science of analyzing and processing biomedical images acquired through means such as magnetic resonance imaging, ultrasound, computed tomography, nuclear medicine, x-ray, optical and confocal microscopy, among others. Common topics covered in the journal include feature extraction, image segmentation, image registration, and other image processing methods with applications to diagnosis, prognosis, and computer-assisted interventions.
Michael Unser (born April 9, 1958 in Zug, Switzerland) is a Swiss engineer and a professor at the École Polytechnique Fédérale de Lausanne (EPFL). His research focuses on the field of biomedical image processing.
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Amir Amini is the professor and endowed chair in bioimaging at the University of Louisville. Prior to this, he was the founder of the Cardiovascular Image Analysis Laboratory and associate professor at the Washington University in St. Louis. He was elected a fellow of the IEEE in 2007, the College of Fellows of the American Institute of Medical and Biological Engineering in 2017, the International Society for Optics, Photonics, and Imaging in 2019, the Asia-Pacific Artificial Intelligence Association in 2021, and the International Academy of Medical and Biological Engineering in 2024.