基本信息
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Career Trajectory
Bio
Duncan and his research team performed seminal work starting in 1987 on the use of parameterized global shape models to incorporate a notion of known prior object shape into the segmentation process using a Bayesian reasoning strategy, helping lead the way towards the use of strategies for automatically finding certain known anatomical structure from any of a variety of medical (e.g. computer tomography (CT), magnetic resonance imaging (MRI), ultrasound) and biological (e.g. confocal microscopy) images.
The strategies he developed have resulted in major advances in bioimaging. He and his research collaborators have applied these strategies to locate the cortical gray matter layer and a variety of co-localized subcortical gray matter structures in the brain as well as to locate the structure near the prostate gland. More recently, Duncan’s team has begun to show that these same techniques will be useful for estimating gray matter-constrained activations from functional MRI data and could help guide the recovery of quantitative biochemical information from MR spectroscopy.
The strategies he developed have resulted in major advances in bioimaging. He and his research collaborators have applied these strategies to locate the cortical gray matter layer and a variety of co-localized subcortical gray matter structures in the brain as well as to locate the structure near the prostate gland. More recently, Duncan’s team has begun to show that these same techniques will be useful for estimating gray matter-constrained activations from functional MRI data and could help guide the recovery of quantitative biochemical information from MR spectroscopy.
Research Interests
Papers共 713 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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MEDICAL IMAGE ANALYSIS (2024)
Daniel H. Pak,Minliang Liu,Theodore Kim, Liang,Andres Caballero,John Onofrey,Shawn S. Ahn, Yilin Xu,Raymond McKay, Wei Sun,Rudolph Gleason,James S. Duncan
Bo Zhou, Jun Hou, Tianqi Chen,Yinchi Zhou,Xiongchao Chen,Huidong Xie,Qiong Liu,Xueqi Guo,Yu-Jung Tsai,Vladimir Y. Panin,Takuya Toyonaga,James S. Duncan,Chi Liu
2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)pp.1-1, (2024)
Oncogeneno. 10 (2024): 729-743
Nature communicationsno. 1 (2024): 5776-5776
Shankar Subramaniam,Metin Akay, Mark A. Anastasio, Vasudev Bailey,David Boas,Paolo Bonato,Ashutosh Chilkoti,Jennifer R. Cochran,Vicki Colvin,Tejal A. Desai,James S. Duncan,Frederick H. Epstein,Stephanie Fraley,Cecilia Giachelli,K. Jane Grande-Allen,Jordan Green, X. Edward Guo,Isaac B. Hilton,Jay D. Humphrey,Chris R. Johnson,George Karniadakis,Michael R. King,Robert F. Kirsch,Sanjay Kumar,Cato T. Laurencin,Song Li,Richard L. Lieber,Nigel Lovell,Prashant Mali,Susan S. Margulies,David F. Meaney,Brenda Ogle,Bernhard Palsson,Nicholas A. Peppas,Eric J. Perreault,Rick Rabbitt,Lori A. Setton,Lonnie D. Shea,Sanjeev G. Shroff,Kirk Shung,Andreas S. Tolias, Marjolein C. H. van der Meulen,Shyni Varghese,Gordana Vunjak-Novakovic,John A. White,Raimond Winslow,Jianyi Zhang,Kun Zhang, Charles Zukoski,Michael I. Miller
IEEE International Conference on Acoustics, Speech, and Signal Processingpp.1536-1540, (2024)
IEEE transactions on pattern analysis and machine intelligence (2024)
Journal of Fluid Mechanics (2024)
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Author Statistics
#Papers: 712
#Citation: 26265
H-Index: 77
G-Index: 143
Sociability: 8
Diversity: 1
Activity: 6
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