C. Graff

发表

Fast MR parameter mapping from highly undersampled data by Direct Reconstruction of Principal Component Coefficient Maps using Compressed Sensing

A. Bilgin, M. Altbach, C. Huang, 2009 .

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

Frank W. Samuelson, Kyle J. Myers, Rongping Zeng, 2018, JAMA network open.

T2 estimation for small lesions using a Model-Based reconstruction with sparsifying penalty functions and highly under- sampled radial FSE data

A. Bilgin, M. Altbach, C. Graff, 2008 .

Compressive sensing in medical imaging.

Emil Y Sidky, Christian G Graff, E. Sidky, 2015, Applied optics.

Automated registration of sequential breath-hold dynamic contrast-enhanced MR images: a comparison of three techniques.

Claude B. Sirlin, Sivaramakrishnan Rajaraman, Maria I. Altbach, 2011, Magnetic resonance imaging.

T2 mapping from highly undersampled data by reconstruction of principal component coefficient maps using compressed sensing

Ali Bilgin, Eric W Clarkson, Chuan Huang, 2012, Magnetic resonance in medicine.

Advances in Computational Human Phantoms and Their Applications in Biomedical Engineering—A Topical Review

Chan Hyeong Kim, Wesley E. Bolch, Niels Kuster, 2019, IEEE Transactions on Radiation and Plasma Medical Sciences.

Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning

Berkman Sahiner, Nicholas Petrick, Kenny H. Cha, 2019, Journal of medical imaging.

In silico imaging clinical trials for regulatory evaluation: initial considerations for VICTRE, a demonstration study

Frank W. Samuelson, Rongping Zeng, Diksha Sharma, 2017, Medical Imaging.

Rapid water and lipid imaging with T2 mapping using a radial IDEAL‐GRASE technique

Ali Bilgin, Zhiqiang Li, Maria I Altbach, 2009, Magnetic resonance in medicine.

A four-alternative forced choice (4AFC) methodology for evaluating microcalcification detection in clinical full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) systems using an inkjet-printed anthropomorphic phantom.

Wei-Chung Cheng, Bahaa Ghammraoui, Stephen J Glick, 2019, Medical physics.

Virtual clinical trial for task-based evaluation of a deep learning synthetic mammography algorithm

Rongping Zeng, Kenny H. Cha, Aldo Badano, 2019, Medical Imaging.

A new, open-source, multi-modality digital breast phantom

Christian G. Graff, C. Graff, 2016, SPIE Medical Imaging.

Rapid Generation of Structured Physical Phantoms for Mammography and Digital Breast Tomosynthesis

Stephen J. Glick, Lynda C. Ikejimba, Christian G. Graff, 2016, Digital Mammography / IWDM.

Correcting partial volume effects in biexponential T2 estimation of small lesions

Ali Bilgin, Jean-Philippe Galons, Eric W Clarkson, 2015, Magnetic resonance in medicine.

Parameter estimation in magnetic resonance imaging

Christian George Graff, C. Graff, 2009 .

Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2019, Medical Imaging.

Mammography and breast tomosynthesis simulator for virtual clinical trials

Rongping Zeng, Aldo Badano, Andreu Badal, 2021, Comput. Phys. Commun..