Dorin Comaniciu | |
---|---|
Born | 1964 (age 59–60) |
Awards | Longuet-Higgins Prize (2010), IEEE Fellow (2012), ACM Fellow (2017), Elected to National Academy of Medicine (2019) |
Scientific career | |
Fields | Machine Intelligence, Diagnostic Imaging, Image-Guided Surgery, Computer Vision |
Institutions | Siemens, Siemens Healthcare |
Website | comaniciu |
Dorin Comaniciu (born 1964) is a Romanian-American computer scientist. He is the Senior Vice President of Artificial Intelligence and Digital Innovation at Siemens Healthcare.
Comaniciu is known for his work in computer vision, [1] [2] medical imaging [3] and machine learning. [4] [5] His academic publications have 54,000 citations with an H-index of 85. [6] As of 2022, he holds 308 US patents [7] and 550 international patent applications. [8] He joined Siemens in 1999 as a senior research scientist with a focus on computer vision applications for automotive systems. [9] Since 2004, he has served in various research and leadership positions, directing technology development in diagnostic imaging [10] [11] and image-guided surgery [12]
Most recently, his team's research has focused on artificial intelligence, [13] [14] [15] hyper-realistic visualization, [16] and precision medicine. [17]
Together with his team and clinical collaborators, he has helped pioneer many clinical products, including efficient bone reading, [18] vascular analysis, cardiac function assessment, trans-esophageal 3D heart valve assessment, [19] guidance for aortic valve implantation, [20] enhanced stent visualization, compressed sensing for Magnetic Resonance, [21] and automatic patient positioning for Computed Tomography.
Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, military automatic target recognition, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.
Thomas Shi-Tao Huang was a Chinese-born American computer scientist, electrical engineer, and writer. He was a researcher and professor emeritus at the University of Illinois at Urbana-Champaign (UIUC). Huang was one of the leading figures in computer vision, pattern recognition and human computer interaction.
Mean shift is a non-parametric feature-space mathematical analysis technique for locating the maxima of a density function, a so-called mode-seeking algorithm. Application domains include cluster analysis in computer vision and image processing.
Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care.
Matti Kalevi Pietikäinen is a computer scientist. He is currently Professor (emer.) in the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. His research interests are in texture-based computer vision, face analysis, affective computing, biometrics, and vision-based perceptual interfaces. He was Director of the Center for Machine Vision Research, and Scientific Director of Infotech Oulu.
Stuart Alan Geman is an American mathematician, known for influential contributions to computer vision, statistics, probability theory, machine learning, and the neurosciences. He and his brother, Donald Geman, are well known for proposing the Gibbs sampler, and for the first proof of convergence of the simulated annealing algorithm.
Josef KittlerFREng is a British scientist and Distinguished Professor at University of Surrey, specialising in pattern recognition and machine intelligence.
Haesun Park is a professor and chair of Computational Science and Engineering at the Georgia Institute of Technology. She is an IEEE Fellow, ACM Fellow, and Society for Industrial and Applied Mathematics Fellow. Park's main areas of research are Numerical Algorithms, Data Analysis, Visual Analytics and Parallel Computing. She has co-authored over 100 articles in peer-reviewed journals and conferences.
Theodosios Pavlidis is a computer scientist and Distinguished Professor Emeritus of Computer Science at the State University of New York, Stony Brook.
René Vidal is a Chilean electrical engineer and computer scientist who is known for his research in machine learning, computer vision, medical image computing, robotics, and control theory. He is the Herschel L. Seder Professor of the Johns Hopkins Department of Biomedical Engineering, and the founding director of the Mathematical Institute for Data Science (MINDS).
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.
Ujjwal Maulik is an Indian Computer Scientist and a Professor. He is the former Head of the Department of Computer Science and Engineering at Jadavpur University, Kolkata, West Bengal, India. He has worked in many countries including India, US, Germany, France, Australia, China, Italy, Poland, Mexico, Slovenia and Hungary. He also held the position of the principal-in-charge and the head of the Department of Computer Science and Engineering at Kalyani Government Engineering College.
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.
Jiebo Luo is a Chinese-American computer scientist, the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the University of Rochester. He is interested in artificial intelligence, data science and computer vision.
Nicholas Ayache, born on 1 November 1958 in Paris, is a French computer scientist and Research Director at INRIA, Sophia Antipolis-Mediterranean Centre. Previously, he was Scientific Director of the Institut hospitalo-universitaire de Strasbourg (2012–2015) and Visiting Professor at the Collège de France (2014). He is also a member of the French Academy of Sciences.
Jerry L. 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.
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.
Jiaya Jia is a tenured professor of the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK). He is an IEEE Fellow, the associate editor-in-chief of one of IEEE’s flagship and premier journals- Transactions on Pattern Analysis and Machine Intelligence (TPAMI), as well as on the editorial board of International Journal of Computer Vision (IJCV).
Hatice Gunes is a Turkish computer scientist who is Professor of Affective Intelligence & Robotics at the University of Cambridge. Gunes leads the Affective Intelligence & Robotics Lab. Her research considers human robot interactions and the development of sophisticated technologies with emotional intelligence.
Alexander Wong is a professor in the Department of Systems Design Engineering and a Co-Director of the Vision and Image Processing Research Group at the University of Waterloo. He is the Canada Research Chair in Artificial Intelligence and Medical Imaging, a Founding Member of the Waterloo Artificial Intelligence Institute and a Member of the College of the Royal Society of Canada and a Fellow of the Institute of Engineering and Technology. He is also a Fellow of the Institute of Physics, a Fellow in the International Society for Design and Development in Education, a Fellow of the Royal Society for Public Health and a Fellow of the Royal Society of Medicine.