Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering. - Ingrid S. Reiser; Robert M. Nishikawa; Maryellen L. Giger; Elizabeth A. Rafferty; Daniel B. Kopans; Richard H. Moore; Tao Wu (CARS, 2004)

A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast. - Ingrid S. Reiser; Emil Y. Sidky; Maryellen Lissak Giger; Robert M. Nishikawa; Elizabeth A. Rafferty; Daniel B. Kopans; Richard H. Moore; Tao Wu (Image Processing, 2004)

Development of an Analytic Breast Phantom for Quantitative Comparison of Reconstruction Algorithms for Digital Breast Tomosynthesis. - Ingrid S. Reiser; Emil Y. Sidky; Robert M. Nishikawa; Xiaochuan Pan (Digital Mammography / IWDM, 2006)

Effect of Scan Angle and Reconstruction Algorithm on Model Observer Performance in Tomosynthesis. - Ingrid S. Reiser; Beverly A. Lau; Robert M. Nishikawa (Digital Mammography / IWDM, 2008)

An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections. - Predrag R. Bakic; Beverly A. Lau; Ann-Katherine Carton; Ingrid S. Reiser; Andrew D. A. Maidment; Robert M. Nishikawa (Digital Mammography / IWDM, 2010)

Human Observer Performance in a Single Slice or a Volume: Effect of Background Correlation. - Ingrid S. Reiser; Robert M. Nishikawa (Digital Mammography / IWDM, 2010)

Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images. - Ingrid S. Reiser; S. P. Joseph; Robert M. Nishikawa; Maryellen L. Giger; John M. Boone; Karen K. Lindfors; Alexandra Edwards; Nathan J. Packard; Richard H. Moore; Daniel B. Kopans (Computer-Aided Diagnosis, 2010)

Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT. - Hsien-Chi Kuo; Maryellen L. Giger; Ingrid S. Reiser; John M. Boone; Karen K. Lindfors; Kai Yang; Alexandra Edwards (Digital Mammography / IWDM, 2012)

A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantom. - Ingrid S. Reiser; Beverly A. Lau; Robert M. Nishikawa; Predrag R. Bakic (Digital Mammography / IWDM, 2012)

Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT. - H. Kuo; Maryellen L. Giger; Ingrid S. Reiser; John M. Boone; Karen K. Lindfors; K. Yang; Alexandra Edwards (Computer-Aided Diagnosis, 2012)

Automatic 3D lesion segmentation on breast ultrasound images. - Hsien-Chi Kuo; Maryellen L. Giger; Ingrid S. Reiser; Karen Drukker; Alexandra Edwards; Charlene A. Sennett (Computer-Aided Diagnosis, 2013)

Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria. - Hsien-Chi Kuo; Maryellen L. Giger; Ingrid S. Reiser; John M. Boone; Karen K. Lindfors; Kai Yang; Alexandra Edwards (J. Digit. Imaging, 2014)

Can model observers be developed to reproduce radiologists' diagnostic performances? Our study says not so fast! - Juhun Lee; Robert M. Nishikawa; Ingrid S. Reiser; John M. Boone (Image Perception, Observer Performance, and Technology Assessment, 2016)

Neutrosophic segmentation of breast lesions for dedicated breast CT. - Juhun Lee; Robert M. Nishikawa; Ingrid S. Reiser; John M. Boone (Computer-Aided Diagnosis, 2017)

Orientation dependent detectability of fiber-like signals in linear iterative image reconstruction for breast tomosynthesis. - Sean D. Rose; Ingrid S. Reiser; Emil Y. Sidky; Xiaochuan Pan (IWBI, 2018)

Parameter selection with the Hotelling observer in linear iterative image reconstruction for breast tomosynthesis. - Sean D. Rose; Jacob Roth; Cole Zimmerman; Ingrid S. Reiser; Emil Y. Sidky; Xiaochuan Pan (Image Perception, Observer Performance, and Technology Assessment, 2018)

2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue model. - Christiana Balta; Ioannis Sechopoulos; Wouter J. H. Veldkamp; Ruben E. van Engen; Ingrid S. Reiser (Image Perception, Observer Performance, and Technology Assessment, 2019)

Supervised learning of model observers for assessment of CT image reconstruction algorithms. - Gregory Ongie; Emil Y. Sidky; Ingrid S. Reiser; Xiaochuan Pan (Image Perception, Observer Performance, and Technology Assessment, 2020)

Towards the objective assessment of fluoroscopy systems: development of a framework to aid the design of tasks and metrics. - Juan-Pablo Cruz-Bastida; Natalie M. Baughan; Emily L. Marshall; Kayla Blunt; Kate A. Feinstein; Ingrid S. Reiser (Image Perception, Observer Performance, and Technology Assessment, 2021)

A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction. - John Paul Phillips; Emil Y. Sidky; Greg Ongie; Weimin Zhou; Juan-Pablo Cruz-Bastida; Ingrid S. Reiser; Mark A. Anastasio; Xiaochuan Pan (Image Perception, Observer Performance, and Technology Assessment, 2021)

Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. - Jonas Teuwen; Nikita Moriakov; Christian Fedon; Marco Caballo; Ingrid S. Reiser; Predrag R. Bakic; Eloy García 001; Oliver Díaz; Koen Michielsen; Ioannis Sechopoulos (Medical Image Anal., 2021)

Task-specific evaluation of clinical pediatric fluoroscopy systems. - Emily L. Marshall; Daniela Olivera Velarde; Natalie M. Baughan; Nikolaj Reiser; Chao Guo; Juan-Pablo Cruz-Bastida; Kate A. Feinstein; Ingrid S. Reiser (Image Perception, Observer Performance, and Technology Assessment, 2022)

Optimizing model observer performance in learning-based CT reconstruction. - Gregory Ongie; Emil Y. Sidky; Ingrid S. Reiser; Xiaochuan Pan (Image Perception, Observer Performance, and Technology Assessment, 2022)

Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function. - Megan Lantz; Emil Y. Sidky; Ingrid S. Reiser; Xiaochuan Pan; Gregory Ongie (CoRR, 2024)