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Ke Zeng
Ke Zeng
Verified email at sas.upenn.edu
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GLISTRboost: combining multimodal MRI segmentation, registration, and biophysical tumor growth modeling with gradient boosting machines for glioma segmentation
S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
1142016
Segmentation of gliomas in pre-operative and post-operative multimodal magnetic resonance imaging volumes based on a hybrid generative-discriminative framework
K Zeng, S Bakas, A Sotiras, H Akbari, M Rozycki, S Rathore, S Pati, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
452016
Methods, systems, and computer readable media for automated detection of abnormalities in medical images
C Davatzikos, K Zeng, AG Erus
US Patent 9,984,283, 2018
362018
Segmentation of gliomas in multimodal magnetic resonance imaging volumes based on a hybrid generative-discriminative framework
S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ...
Proceeding of the multimodal brain tumor image segmentation challenge, 5-12, 2015
252015
Abnormality detection via iterative deformable registration and basis-pursuit decomposition
K Zeng, G Erus, A Sotiras, RT Shinohara, C Davatzikos
IEEE transactions on medical imaging 35 (8), 1937-1951, 2016
152016
Generative discriminative models for multivariate inference and statistical mapping in medical imaging
E Varol, A Sotiras, K Zeng, C Davatzikos
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
112018
Estimating patient specific templates for pre-operative and follow-up brain tumor registration
D Kwon, K Zeng, M Bilello, C Davatzikos
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
72015
Brain abnormality segmentation based on l1-norm minimization
K Zeng, G Erus, M Tanwar, C Davatzikos
Medical Imaging 2014: Image Processing 9034, 49-55, 2014
32014
Statistically-constrained robust diffeomorphic registration
K Zeng, A Sotiras, C Davatzikos
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
2018
Probabilistic Methods for Learning Variations of High-dimensional Neuroimaging Data
K Zeng
University of Pennsylvania, 2018
2018
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