Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model. - Craig K. Abbey; Eric Clarkson; Harrison H. Barrett; Stefan P. Müller; Frank J. Rybicki (IPMI, 1997)

A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model. - Craig K. Abbey; Eric Clarkson; Harrison H. Barrett; Stefan P. Müller; Frank J. Rybicki (Medical Image Anal., 1998)

Novel encoding technology for ultrafast MRI in a limited spatial region. - Samuel Patz; M. I. Hrovat; Y. M. Pulyer; Frank J. Rybicki (Int. J. Imaging Syst. Technol., 1999)

Reconstruction algorithm for novel ultrafast magnetic resonance imaging. - Frank J. Rybicki; Samuel Patz; M. I. Hrovat; Y. M. Pulyer (Int. J. Imaging Syst. Technol., 1999)

Registration of multidimensional image data via subpixel resolution phase correlation. - William Scott Hoge; Dimitris Mitsouras; Frank J. Rybicki; Robert V. Mulkern; Carl-Fredrik Westin (ICIP (2), 2003)

Comparing Mr Imaging Properties of Spiral Trajectories Using the Singular Spectrum of the Analytical Fourier Basis Cross-Correlation Matrix. - Onur Afacan; Dimitris Mitsouras; Dana H. Brooks; Robert V. Mulkern; Frank J. Rybicki (ISBI, 2007)

Hydrokinetic approach to large-scale cardiovascular blood flow. - Simone Melchionna; Massimo Bernaschi; Sauro Succi; Efthimios Kaxiras; Frank J. Rybicki; Dimitris Mitsouras; Ahmet U. Coskun; Charles L. Feldman (Comput. Phys. Commun., 2010)

Evaluation of Artery Visualizations for Heart Disease Diagnosis. - Michelle Borkin; Krzysztof Gajos; Amanda Peters Randles; Dimitrios Mitsouras; Simone Melchionna; Frank J. Rybicki; Charles L. Feldman; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2011)

Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing. - Sheng Yu 002; Kanako K. Kumamaru; Elizabeth George; Ruth M. Dunne; Arash Bedayat; Matey Neykov; Andetta R. Hunsaker; Karin E. Dill; Tianxi Cai; Frank J. Rybicki (J. Biomed. Informatics, 2014)

Automatic ventricle detection in Computed Tomography Pulmonary Angiography. - Sara Rodriguez-Lopez; Daniel Jimenez-Carretero; Raúl San José Estépar; Eduardo Fraile Moreno; Kanako K. Kumamaru; Frank J. Rybicki; María J. Ledesma-Carbayo; Germán González (ISBI, 2015)

3D printed cardiovascular patient specific phantoms used for clinical validation of a CT-derived FFR diagnostic software. - Kelsey N. Sommer; Lauren M. Shepard; Nitant Vivek Karkhanis; Vijay Iyer; Erin Angel; Michael F. Wilson; Frank J. Rybicki; Dimitrios Mitsouras; Stephen Rudin; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Comparison of benchtop pressure gradient measurements in 3D printed patient specific cardiac phantoms with CT-FFR and computational fluid dynamic simulations. - Kelsey N. Sommer; Lauren M. Shepard; Vijay Iyer; Erin Angel; Michael F. Wilson; Frank J. Rybicki; Dimitrios Mitsouras; Kanako Kunishima Kumamaru; Stephen Rudin; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Applying Modern Virtual and Augmented Reality Technologies to Medical Images and Models. - Justin Sutherland; Jason Belec; Adnan Sheikh; Leonid L. Chepelev; Waleed Althobaity; Benjamin J. W. Chow; Dimitrios Mitsouras; Andy Christensen; Frank J. Rybicki; Daniel Jimenez-Carretero (J. Digit. Imaging, 2019)

EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research. - Tianrun A. Cai; Luwan Zhang; Nicole Yang; Kanako K. Kumamaru; Frank J. Rybicki; Tianxi Cai; Katherine P. Liao (BMC Medical Informatics Decis. Mak., 2019)

Study of the effect of boundary conditions on fractional flow reserve using patient specific coronary phantoms. - Kelsey N. Sommer; Lauren M. Shepard; Vijay Iyer; Erin Angel; Michael F. Wilson; Frank J. Rybicki; Dimitrios Mitsouras; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients. - Alexander R. Podgorsak; Kelsey N. Sommer; Vijay Iyer; Michael F. Wilson; Frank J. Rybicki; Dimitrios Mitsouras; Umesh C. Sharma; Kanako K. Kumamaru; Erin Angel; Ciprian N. Ionita (Computer-Aided Diagnosis, 2020)

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). - Germán González; Daniel Jimenez-Carretero; Sara Rodríguez-López; Carlos Cano-Espinosa; Miguel Cazorla; Tanya Agarwal; Vinit Agarwal; Nima Tajbakhsh; Michael B. Gotway; Jianming Liang; Mojtaba Masoudi; Noushin Eftekhari; et al. (CoRR, 2020)

Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism. - Leonid L. Chepelev; Xuan Wang; Benjamin Gold; Clara-Lea Bonzel; Frank Rybicki Jr; Jennifer W. Uyeda; Adnan Sheikh; Dan Anderson; Jared Lindaman; Greg Mogel; Dimitrios Mitsouras; Mary C. Mahoney; et al. (J. Digit. Imaging, 2021)

Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion. - Prashanth Ravi; Leonid L. Chepelev; Gabrielle V. Stichweh; Benjamin S. Jones; Frank J. Rybicki (J. Digit. Imaging, 2022)