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Methodology to study the three-dimensional spatial distribution of prostate cancer and their dependence on clinical parameters

Publication: Journal Article

Rojas, Kristians Diaz, Maria Montero, Jorge Yao, Edward Messing, Anees Fazili, Jean Joseph, Yangming Ou, et al. 2015. “Methodology to Study the Three-Dimensional Spatial Distribution of Prostate Cancer and Their Dependence on Clinical Parameters”. J Med Imaging (Bellingham) 2 (3): 037502.

Effect of tiotropium on neural respiratory drive during exercise in severe COPD

Publication: Journal Article

Qin, Yin-Yin, Rui-Fa Li, Guo-Feng Wu, Zheng Zhu, Jie Liu, Cheng-Zhi Zhou, Wei-Jie Guan, et al. 2015. “Effect of Tiotropium on Neural Respiratory Drive During Exercise in Severe COPD”. Pulm Pharmacol Ther 30: 51-6.

Comparative evaluation of registration algorithms in different brain databases with varying difficulty: results and insights

Publication: Journal Article

Ou, Yangming, Hamed Akbari, Michel Bilello, Xiao Da, and Christos Davatzikos. 2014. “Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights”. IEEE Trans Med Imaging 33 (10): 2039-65.

Registering histologic and MR images of prostate for image-based cancer detection

Publication: Journal Article

Zhan, Yiqiang, Yangming Ou, Michael Feldman, John Tomaszeweski, Christos Davatzikos, and Dinggang Shen. 2007. “Registering Histologic and MR Images of Prostate for Image-Based Cancer Detection”. Acad Radiol 14 (11): 1367-81.

[Clinical study of Twin-wires on anchorage on canine retraction]

Publication: Journal Article

Wang, Guo-hua, Ping Liu, and Yang-Ming Ou. 2006. “[Clinical Study of Twin-Wires on Anchorage on Canine Retraction]”. Shanghai Kou Qiang Yi Xue 15 (3): 332-4.

Background. A brain MRI atlases is a virtual brain image that is computed/constructed to represent the average anatomy and the average image intensity of all individuals in a cohort. Atlases are fundamental tools in computational neuroscience -- they are targets for image registration, guidlines for...

Image Segmentation

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Background Field of View Normalization Skull Stripping (Brain Extraction) Structure Segmentation

Rare Disease (SWS)

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Background: Pre-symptomatic Screening: Natural History: Outcome Prediction References:

BRAIN AGE ESTIMATION USING LSTM ON CHILDREN'S BRAIN MRI

Publication: Journal Article

He, Sheng, Randy Gollub, Shawn Murphy, Juan David Perez, Sanjay Prabhu, Rudolph Pienaar, Richard Robertson, Ellen Grant, and Yangming Ou. 2020. “BRAIN AGE ESTIMATION USING LSTM ON CHILDREN’S BRAIN MRI”. Proc IEEE Int Symp Biomed Imaging 2020: 420-23.