Building an atlas of hippocampal subfields using postmortem MRI. - Paul A. Yushkevich; Brian B. Avants; John Pluta; David Minkoff; Stephen Pickup; Weixia Liu; John A. Detre; Murray Grossman; James C. Gee (ISBI, 2008)

A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T. - Paul A. Yushkevich; Brian B. Avants; John Pluta; Sandhitsu R. Das; David Minkoff; Dawn Mechanic-Hamilton; Simon Glynn; Stephen Pickup; Weixia Liu; James C. Gee; Murray Grossman; John A. Detre (NeuroImage, 2009)

A framework for informing segmentation of in vivo MRI with information derived from ex vivo imaging: Application in the medial temporal lobe. - Paul A. Yushkevich; Laura E. M. Wisse; Daniel H. Adler; Ranjit Ittyerah; John Pluta; John L. Robinson; Theresa Schuck; John Q. Trojanowski; Murray Grossman; John A. Detre; Mark A. Elliott; Jon B. Toledo; et al. (EMBC, 2016)

Probabilistic Atlas of the Human Hippocampus Combining Ex Vivo MRI and Histology. - Daniel H. Adler; Ranjit Ittyerah; John Pluta; Stephen Pickup; Weixia Liu; David A. Wolk; Paul A. Yushkevich (MICCAI (3), 2016)

Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology. - Daniel H. Adler; Laura E. M. Wisse; Ranjit Ittyerah; John Pluta; Song-Lin Ding; Long Xie; Jiancong Wang; Salmon Kadivar; John L. Robinson; Theresa Schuck; John Q. Trojanowski; Murray Grossman; et al. (Proc. Natl. Acad. Sci. USA, 2018)

Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation. - Tianming Du; Honggang Zhang 002; Yuemeng Li; Stephen Pickup; Mark Rosen; Rong Zhou; Hee Kwon Song; Yong Fan 001 (Medical Image Anal., 2021)

Learning Apparent Diffusion Coefficient Maps from Undersampled Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model in Conjunction with a Monoexponential Model. - Yuemeng Li; Hee Kwon Song; Miguel Romanello Joaquim; Stephen Pickup; Rong Zhou; Yong Fan 001 (CoRR, 2022)