Image processing and image reconstruction with the use of a-priori information. - Chin-Tu Chen; Valen E. Johnson; Xiaoping Hu 001; Wing H. Wong; Charles E. Metz (Image Processing, 1990)

Boundary Estimation in Ultrasound Images. - W. J. Lin; Stephen M. Pizer; Valen E. Johnson (IPMI, 1991)

Image Restoration Using Gibbs Priors: Boundary Modeling, Treatment of Blurring, and Selection of Hyperparameter. - Valen E. Johnson; Wing Hung Wong; Xiaoping Hu 001; Chin-Tu Chen (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

A Framework for Incorporating Structural Prior Information into the Estimation of Medical Images. - Valen E. Johnson (IPMI, 1993)

A note on stopping rules in EM-ML reconstructions of ECT images. - Valen E. Johnson (IEEE Trans. Medical Imaging, 1994)

Incorporation of correlated structural images in PET image reconstruction. - Xiaolong Ouyang; Wing Hung Wong; Valen E. Johnson; Xiaoping Hu 001; Chin-Tu Chen (IEEE Trans. Medical Imaging, 1994)

Bayesian reconstruction and use of anatomical a priori information for emission tomography. - James E. Bowsher; Valen E. Johnson; Timothy G. Turkington; Ronald J. Jaszczak; Carey E. Floyd Jr.; R. Edward Coleman (IEEE Trans. Medical Imaging, 1996)

Segmentation of Medical Image Objects Using Deformable Shape Loci. - Daniel S. Fritsch; Stephen M. Pizer; Liyun Yu; Valen E. Johnson; Edward L. Chaney (IPMI, 1997)

Fully Bayesian Estimation of Gibbs Hyperparameters for Emission Computed Tomography Data. - David M. Higdon; James E. Bowsher; Valen E. Johnson; Timothy G. Turkington; David R. Gilland; Ronald J. Jaszczak (IEEE Trans. Medical Imaging, 1997)

A Hierarchical Feature Based Deformation Model Applied to 4D Cardiac SPECT Data. - Jacob K. Laading; Colin McCulloch; Valen E. Johnson; David R. Gilland; Ronald J. Jaszczak (IPMI, 1999)

Discussion. - Valen E. Johnson; Mark Fitzgerald; Harry F. Martz (Technometrics, 1999)

Segmentation, Registration and Measurement of Shape Variation via Image Object Shape. - Stephen M. Pizer; Daniel S. Fritsch; Paul A. Yushkevich; Valen E. Johnson; Edward L. Chaney (IEEE Trans. Medical Imaging, 1999)

High-Dimensional Bayesian Classifiers Using Non-Local Priors. - David Rossell; Donatello Telesca; Valen E. Johnson (Statistical Models for Data Analysis, 2013)

Bayesian variable selection for binary outcomes in high-dimensional genomic studies using non-local priors. - Amir Nikooienejad; Wenyi Wang 001; Valen E. Johnson (Bioinform., 2016)

A Fast Algorithm for Clustering High Dimensional Feature Vectors. - Shahina Rahman; Valen E. Johnson (CoRR, 2018)

GWASinlps: non-local prior based iterative SNP selection tool for genome-wide association studies. - Nilotpal Sanyal; Min-Tzu Lo; Karolina Kauppi; Srdjan Djurovic; Ole A. Andreassen; Valen E. Johnson; Chi-Hua Chen (Bioinform., 2019)

A Hyperparameter-Free, Fast and Efficient Framework to Detect Clusters From Limited Samples Based on Ultra High-Dimensional Features. - Shahina Rahman; Valen E. Johnson; Suhasini Subba Rao (IEEE Access, 2022)

Using the left Gram matrix to cluster high dimensional data. - Shahina Rahman; Valen E. Johnson; Suhasini Subba Rao (CoRR, 2022)