Automated, Depth-Resolved Estimation of the Attenuation Coefficient From Optical Coherence Tomography Data. - Gennifer T. Smith; Nicholas Dwork; Daniel O'Connor; Uzair Sikora; Kristen L. Lurie; John M. Pauly; Audrey K. Ellerbee (IEEE Trans. Medical Imaging, 2015)

Automatically Determining the Confocal Parameters From OCT B-Scans for Quantification of the Attenuation Coefficients. - Nicholas Dwork; Gennifer T. Smith; Theodore Leng; John M. Pauly; Audrey K. Bowden (IEEE Trans. Medical Imaging, 2019)

Utilizing the wavelet transform's structure in compressed sensing. - Nicholas Dwork; Daniel O'Connor; Corey A. Baron; Ethan M. I. Johnson; Adam B. Kerr; John M. Pauly; Peder E. Z. Larson (Signal Image Video Process., 2021)

Physics-driven Deep Learning for PET/MRI. - Abhejit Rajagopal; Andrew P. Leynes; Nicholas Dwork; Jessica E. Scholey; Thomas A. Hope; Peder E. Z. Larson (CoRR, 2022)

Utilizing the structure of a redundant dictionary comprised of wavelets and curvelets with compressed sensing. - Nicholas Dwork; Peder E. Z. Larson (J. Electronic Imaging, 2022)

Dependence of parallel imaging with linear predictability on the undersampling direction. - Alex McManus; Stephen Becker; Nicholas Dwork (J. Electronic Imaging, 2025)