Predrag R. Bakic

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Mammogram registration: a phantom-based evaluation of compressed Breast Thickness variation effects

Andrew D. A. Maidment, Frédéric J. P. Richard, Predrag R. Bakic, 2006, IEEE Transactions on Medical Imaging.

OpenVCT: a GPU-accelerated virtual clinical trial pipeline for mammography and digital breast tomosynthesis

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2018, Medical Imaging.

Development of a 3D high-resolution physical anthropomorphic breast phantom

Ann-Katherine Carton, Predrag R. Bakic, Andrew D. A. Maidment, 2010, Medical Imaging.

Computer simulation of the breast subcutaneous and retromammary tissue for use in virtual clinical trials

Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, 2017, Medical Imaging.

Multiple-reader, multiple-case ROC analysis for determining the limit of calcification detection in tomosynthesis

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2019, Medical Imaging.

Evaluation of a flat fielding method for simultaneous DBT and MI acquisition

Andrew D. A. Maidment, Predrag R. Bakic, Anders Tingberg, 2020, Other Conferences.

Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap

Andrew D. A. Maidment, Predrag R. Bakic, Michael D. Feldman, 2016, Digital Mammography / IWDM.

Anatomic Segmentation of Mammograms Via Breast Model

Predrag R. Bakic, Dragana Brzakovic, Z. Zhu, 1998, Digital Mammography / IWDM.

Simulation of tomosynthesis images based on an anthropomorphic software breast tissue phantom

Ann-Katherine Carton, Andrew D. A. Maidment, Cuiping Zhang, 2008, SPIE Medical Imaging.

Validation of Cooper's ligament thickness in software breast phantoms

Predrag R. Bakic, David D. Pokrajac, Abdullah-Al-Zubaer Imran, 2017, Medical Imaging.

Performance analysis of EM-MPM and K-means clustering in 3D ultrasound image segmentation

Predrag R. Bakic, Nebojsa Duric, Lauren A. Christopher, 2012, 2012 IEEE International Conference on Electro/Information Technology.

2-AFC observer study of digital stereomammography

Andrew D. A. Maidment, Predrag R. Bakic, Andrew D. A. Maidment, 2003, SPIE Medical Imaging.

An approach to using a generalized breast model to segment digital mammograms

Predrag R. Bakic, Dragana Brzakovic, Z. Zhu, 1998, Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237).

Classification of galactograms using fractal properties of the breast ductal network

Vasileios Megalooikonomou, Andrew D. A. Maidment, Predrag R. Bakic, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Application of the fractal Perlin noise algorithm for the generation of simulated breast tissue

Predrag R. Bakic, Anders Tingberg, Magnus Dustler, 2015, Medical Imaging.

Simulation and Evaluation of Clinically Relevant Features in a Computational Skin Model

Predrag R. Bakic, Andrew Maidment, Ljiljana Platisa, 2020 .

Developing populations of software breast phantoms for virtual clinical trials

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2018, Other Conferences.

Is the Outcome of Optimizing the System Acquisition Parameters Sensitive to the Reconstruction Algorithm in Digital Breast Tomosynthesis?

Kyle J. Myers, Rongping Zeng, Predrag R. Bakic, 2012, Digital Mammography / IWDM.

Optimization of the simulation parameters for improving realism in anthropomorphic breast phantoms

Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, 2017, Medical Imaging.

A Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis Systems

Hilde Bosmans, Kenneth C. Young, Eman Shaheen, 2012, Digital Mammography / IWDM.

Probabilistic branching node detection using hybrid local features

Vasileios Megalooikonomou, Haibin Ling, Andrew D. A. Maidment, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Description and Characterization of a Novel Method for Partial Volume Simulation in Software Breast Phantoms

Andrew D. A. Maidment, Feiyu Chen, Predrag R. Bakic, 2015, IEEE Transactions on Medical Imaging.

Interactions of lesion detectability and size across single-slice DBT and 3D DBT

Craig K. Abbey, Miguel P. Eckstein, Andrew D. A. Maidment, 2018, Medical Imaging.

Analysis of volume overestimation artifacts in the breast outline segmentation in tomosynthesis

Ioannis Sechopoulos, Ingrid Reiser, Predrag R. Bakic, 2018, Medical Imaging.

Reduction of artifacts in computer simulation of breast Cooper's ligaments

Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, 2016, SPIE Medical Imaging.

Is Stereomammography Possible Without Increasing Dose

Andrew D. A. Maidment, Predrag R. Bakic, Michael Albert, 2003 .

Classifying Ductal Trees Using Geometrical Features and Ensemble Learning Techniques

Vasileios Megalooikonomou, Predrag R. Bakic, Angeliki Skoura, 2013, EANN.

Dynamic reconstruction and rendering of 3D tomosynthesis images

Andrew D. A. Maidment, Predrag R. Bakic, Susan Ng, 2011, Medical Imaging.

Partial volume simulation in software breast phantoms

Andrew D. A. Maidment, Predrag R. Bakic, Fengshan Liu, 2012, Medical Imaging.

Restoration of low-dose digital breast tomosynthesis

Andrew D. A. Maidment, Alessandro Foi, Predrag R. Bakic, 2018 .

Calculation of radiomic features to validate the textural realism of physical anthropomorphic phantoms for digital mammography

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2020, Other Conferences.

Two methods for simulation of dense tissue distribution in software breast phantoms

Kyle J. Myers, Rongping Zeng, Andrew D. A. Maidment, 2013, Medical Imaging.

Correlation between Topological Descriptors of the Breast Ductal Network from Clinical Galactograms and Texture Features of Corresponding Mammograms

James C. Gee, Yuanjie Zheng, Vasileios Megalooikonomou, 2014, Digital Mammography / IWDM.

Pipeline for effective denoising of digital mammography and digital breast tomosynthesis

Andrew D. A. Maidment, Alessandro Foi, Predrag R. Bakic, 2017, Medical Imaging.

Realistic Simulation of Breast Tissue Microstructure in Software Anthropomorphic Phantoms

Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, 2014, Digital Mammography / IWDM.

Integration of spatio-temporal contrast sensitivity with a multi-slice channelized Hotelling observer

Elizabeth A. Krupinski, Cédric Marchessoux, Andrew D. A. Maidment, 2013, Medical Imaging.

2D-3D registration of X-ray breast image registration

Andrew D. A. Maidment, Predrag R. Bakic, Frédéric Richard, 2006 .

Method for Simulating Dose Reduction in Digital Breast Tomosynthesis

Andrew D. A. Maidment, Alessandro Foi, Predrag R. Bakic, 2017, IEEE Transactions on Medical Imaging.

Restored low-dose digital breast tomosynthesis: a perception study

Andrew D. A. Maidment, Predrag R. Bakic, Lucas R. Borges, 2018, Medical Imaging.

2D-to-3D X-Ray Breast Image Registration

Andrew D. A. Maidment, Predrag R. Bakic, Frederic J. P. Richard, 2006, WBIR.

Breast percent density estimation from 3D reconstructed digital breast tomosynthesis images

Ann-Katherine Carton, Andrew D. A. Maidment, Predrag R. Bakic, 2008, SPIE Medical Imaging.

Comparison of breast ductal branching pattern classification using x-ray galactograms and MR autogalactograms

Andrew D. A. Maidment, Predrag R. Bakic, Mark Rosen, 2006, SPIE Medical Imaging.

It Is Hard to See a Needle in a Haystack: Modeling Contrast Masking Effect in a Numerical Observer pdf

Andrew D. A. Maidment, Predrag R. Bakic, Tom Kimpe, 2014, Digital Mammography / IWDM.

Towards Breast Anatomy Simulation Using GPUs

Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, 2012, Digital Mammography / IWDM.

Cellular neural network for automatic multilevel halftoning of digital images

Predrag R. Bakic, Branimir Reljin, N. S. Vujovic, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

Development and evaluation of a 3D model observer with nonlinear spatiotemporal contrast sensitivity

Cédric Marchessoux, Andrew D. A. Maidment, Predrag R. Bakic, 2014, Medical Imaging.

Establishing correspondence in mammograms and tomosynthesis projections

Andrew D. A. Maidment, Predrag R. Bakic, Nenad Vujovic, 2007, SPIE Medical Imaging.

Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast Imaging

Vasileios Megalooikonomou, Andrew D. A. Maidment, Predrag R. Bakic, 2008, Digital Mammography / IWDM.

Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen

Predrag R. Bakic, David D. Pokrajac, Abdullah-Al-Zubaer Imran, 2015, 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital Mammography

Andrew D. A. Maidment, Salvador Gabarda, Predrag R. Bakic, 2016, Digital Mammography / IWDM.

Registration of Mammograms and Breast Tomosynthesis Images

Andrew D. A. Maidment, Frédéric J. P. Richard, Predrag R. Bakic, 2006, Digital Mammography / IWDM.

Segmentation of anatomical branching structures based on texture features and conditional random field

Vasileios Megalooikonomou, Haibin Ling, Predrag R. Bakic, 2012, Medical Imaging.

Validation of no-reference image quality index for the assessment of digital mammographic images

Andrew D. A. Maidment, Salvador Gabarda, Predrag R. Bakic, 2016, SPIE Medical Imaging.

Evaluation of Various Mammography Phantoms for Image Quality Assessment in Digital Breast Tomosynthesis

Andrew D. A. Maidment, Predrag R. Bakic, Richard Kaczmarek, 2012, Digital Mammography / IWDM.

AUTOMATIC DETECTION OF REGION OF INTERESTS IN MAMMOGRAPHIC IMAGES

Vasileios Megalooikonomou, Haibin Ling, Andrew D. A. Maidment, 2011 .

Characterization of adipose compartments in mastectomy CT images

Predrag R. Bakic, David D. Pokrajac, Abdullah-Al-Zubaer Imran, 2018, Medical Imaging.

Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation

Andrew D. A. Maidment, Predrag R. Bakic, Michael D. Feldman, 2018, Other Conferences.

Method for simulating dose reduction in digital mammography using the Anscombe transformation

Andrew D. A. Maidment, Predrag R. Bakic, Lucas R. Borges, 2016, Medical physics.

Artificial intelligence together with mechanical imaging in mammography

Predrag R. Bakic, Anders Tingberg, Magnus Dustler, 2020, Other Conferences.

Mammogram registration: a phantom-based evaluation of mammographic compression effects

Andrew D. A. Maidment, Predrag R. Bakic, Frédéric Richard, 2006 .

Comparison of 3D and 2D breast density estimation from synthetic ultrasound tomography images and digital mammograms of anthropomorphic software breast phantoms

Andrew D. A. Maidment, Predrag R. Bakic, Mark Sak, 2011, Medical Imaging.

Filtering of Poisson Noise in Digital Mammography Using Local Statistics and Adaptive Wiener Filter

Nelson D. A. Mascarenhas, Andrew D. A. Maidment, Predrag R. Bakic, 2012, Digital Mammography / IWDM.

Simulation of Dose Reduction in Digital Breast Tomosynthesis

Andrew D. A. Maidment, Predrag R. Bakic, Homero Schiabel, 2016, Digital Mammography / IWDM.

Learning-Based Vessel Segmentation in Mammographic Images

Vasileios Megalooikonomou, Haibin Ling, Andrew D. A. Maidment, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

A fast scatter field estimator for digital breast tomosynthesis

Kenneth C. Young, Oliver Díaz, Predrag R. Bakic, 2012, Medical Imaging.

Noise measurements from reconstructed digital breast tomosynthesis

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2019, Medical Imaging.

Analysis of Geometric Accuracy in Digital Breast Tomosynthesis Reconstruction

Andrew D. A. Maidment, Predrag R. Bakic, Susan Ng, 2010, Digital Mammography / IWDM.

Development of an anthropomorphic breast software phantom based on region growing algorithm

Andrew D. A. Maidment, Cuiping Zhang, Predrag R. Bakic, 2008, SPIE Medical Imaging.

Analysis of texture patterns in medical images with an application to breast imaging

Vasileios Megalooikonomou, Predrag R. Bakic, Jingjing Zhang, 2007, SPIE Medical Imaging.

Improved simulation of Cooper ligaments in breast phantoms

Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, 2018, Medical Imaging.

Monte Carlo testing and verification of numerical algorithm implementations

Predrag R. Bakic, David D. Pokrajac, Abdullah-Al-Zubaer Imran, 2015, 2015 12th International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS).

Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future Directions

Kyle J. Myers, Andrew D. A. Maidment, Predrag R. Bakic, 2016, Digital Mammography / IWDM.

Three-dimensional modeling of microcalciﬁcation clusters using breast tomosynthesis: a preliminary study

Predrag R. Bakic, Reyer Zwiggelaar, Nashid Alam, 2020, Other Conferences.

Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms

Craig K. Abbey, Miguel P. Eckstein, Andrew D. A. Maidment, 2020, Medical Imaging.

Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues

Predrag R. Bakic, M. J. Rupérez, Carlos Monserrat Aranda, 2015, Expert Syst. Appl..

Simulation pipeline for virtual clinical trials of dermatology images

Wilfried Philips, Ljiljana Platisa, Predrag R. Bakic, 2019, Medical Imaging.

An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections

Robert M. Nishikawa, Ann-Katherine Carton, Andrew D. A. Maidment, 2010, Digital Mammography / IWDM.

Roadmap for efficient parallelization of breast anatomy simulation

Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, 2012, Medical Imaging.

Effect of denoising on the quality of reconstructed images in digital breast tomosynthesis

Andrew D. A. Maidment, Predrag R. Bakic, Marcelo A. C. Vieira, 2013, Medical Imaging.

Investigating poisson noise filtering in Digital Breast Tomosynthesis

Andrew D. A. Maidment, Predrag R. Bakic, Marcelo A. C. Vieira, 2013 .

Estimation of adipose compartment volumes in CT images of a mastectomy specimen

Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, 2016, SPIE Medical Imaging.

Comparison of Methods for Classification of Breast Ductal Branching Patterns

Vasileios Megalooikonomou, Andrew D. A. Maidment, Predrag R. Bakic, 2006, Digital Mammography / IWDM.

Optimized simulation of breast anatomy for virtual clinical trials

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2018, Other Conferences.

Feasibility study of dose reduction in digital breast tomosynthesis using non-local denoising algorithms

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2015, Medical Imaging.

Performance Tradeoffs in a Model Breast Tomosynthesis System

Kyle J. Myers, Predrag R. Bakic, Subok Park, 2010 .

Breast image registration by using non-linear local affine transformation

Andrew D. A. Maidment, Predrag R. Bakic, Fengshan Liu, 2013, Medical Imaging.

Analysis of percent density estimates from digital breast tomosynthesis projection images

Andrew D. A. Maidment, Martin J. Yaffe, Cuiping Zhang, 2007, SPIE Medical Imaging.

Probabilistic branching node detection using AdaBoost and hybrid local features

Vasileios Megalooikonomou, Haibin Ling, Andrew D. A. Maidment, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Power Spectrum Analysis of an Anthropomorphic Breast Phantom Compared to Patient Data in 2D Digital Mammography and Breast Tomosynthesis

Hilde Bosmans, Nicholas Marshall, Lesley Cockmartin, 2014, Digital Mammography / IWDM.

Proposing a new velocity profile for continuous x-ray tube motion in digital breast tomosynthesis

Predrag R. Bakic, Andrew D. A. Maidment, Raymond J. Acciavatti, 2013, Medical Imaging.

Texture in digital breast tomosynthesis: a comparison between mammographic and tomographic characterization of parenchymal properties

Andrew D. A. Maidment, Predrag R. Bakic, Despina Kontos, 2008, SPIE Medical Imaging.

Estimating breast tomosynthesis performance in detection tasks with variable-background phantoms

Kyle J. Myers, Predrag R. Bakic, Aldo Badano, 2009, Medical Imaging.

Digital Breast Tomosynthesis Parenchymal Texture Analysis for Breast Cancer Risk Estimation: A Preliminary Study

Andrew D. A. Maidment, Predrag R. Bakic, Emily F. Conant, 2008, Digital Mammography / IWDM.

Observer study to evaluate the simulation of mammographic calcification clusters

Andrew D. A. Maidment, Predrag R. Bakic, Karem D. Marcomini, 2016, SPIE Medical Imaging.

Simulation of digital mammogram acquisition

Predrag R. Bakic, Dragana P. Brzakovic, 1999, Medical Imaging.

A comparison of methods to evaluate gray scale response of tomosynthesis systems using a software breast phantom

Andrew D. A. Maidment, Predrag R. Bakic, Homero Schiabel, 2017, Medical Imaging.

Testing a wavelet based noise reduction method using computer-simulated mammograms

Christoph Hoeschen, Andrew D. A. Maidment, Predrag R. Bakic, 2005, SPIE Medical Imaging.

Effects of Medical Display Luminance, Contrast and Temporal Compensation on CHO Detection Performance at Various Browsing Speeds and on Digital Breast Tomosynthesis Images

Cédric Marchessoux, Andrew D. A. Maidment, Predrag R. Bakic, 2012, Digital Mammography / IWDM.

Asymptotic number of Z3Δ cells covering C(1) surface on uniform grid and complexity of recursive-partitioning simulation of septal tissue regions

Andrew D. A. Maidment, Predrag R. Bakic, Marko D. Petkovic, 2015, Appl. Math. Comput..

Testing realism of software breast phantoms: texture analysis of synthetic mammograms

James C. Gee, Yuanjie Zheng, Andrew D. A. Maidment, 2013, Medical Imaging.

Metal artifact reduction using a patch-based reconstruction for digital breast tomosynthesis

Andrew D. A. Maidment, Predrag R. Bakic, Lucas R. Borges, 2017, Medical Imaging.

Virtual clinical trial of lesion detection in digital mammography and digital breast tomosynthesis

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2018, Medical Imaging.

Classifying Ductal Tree Structures Using Topological Descriptors of Branching

Vasileios Megalooikonomou, Andrew D. A. Maidment, Predrag R. Bakic, 2011, EANN/AIAI.

Analysis of parenchymal texture properties in breast tomosynthesis images

Andrew D. A. Maidment, Predrag R. Bakic, Despina Kontos, 2007, SPIE Medical Imaging.

Assessment of automatic exposure control performance in digital mammography using a no-reference anisotropic quality index

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2017, Medical Imaging.

Simulation of Three Material Partial Volume Averaging in a Software Breast Phantom

Andrew D. A. Maidment, Feiyu Chen, Predrag R. Bakic, 2012, Digital Mammography / IWDM.

Mammographic image classification using histogram intersection

Vasileios Megalooikonomou, Haibin Ling, Andrew D. A. Maidment, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Evaluation of 3D Breast Surface Reconstruction Accuracy Using Non-contact Scanner Images: A Phantom Study

Andrew D. A. Maidment, Cuiping Zhang, Predrag R. Bakic, 2008, Digital Mammography / IWDM.

Comparison of Breast Percent Density Estimated from Digital Mammograms and Central Reconstructed Tomosynthesis Slice Images

Andrew D. A. Maidment, Predrag R. Bakic, Despina Kontos, 2008, Digital Mammography / IWDM.

MRMC ROC analysis of calcification detection in tomosynthesis using computed super resolution and virtual clinical trials

Peter B. Noël, Andrew D. A. Maidment, Predrag R. Bakic, 2020, Other Conferences.

Effects of smartphone sensor characteristics on Dermatoscopic Images, a simulation study.

Ljiljana Platisa, Predrag R. Bakic, Andrew Maidment, 2021 .

Impact of chromophores on colour appearance in a computational skin model

Ljiljana Platisa, Wilfried Philips, Andrew D. A. Maidment, 2020 .

A Comparative Study of the Inter-reader Variability of Breast Percent Density Estimation in Digital Mammography: Potential Effect of Reader's Training and Clinical Experience

Ann-Katherine Carton, Andrew D. A. Maidment, Cuiping Zhang, 2010, Digital Mammography / IWDM.

Modeling the Mechanical Behavior of the Breast Tissues Under Compression in Real Time

Predrag R. Bakic, José David Martín-Guerrero, Marcelino Martínez-Sober, 2017 .

Artifact reduction in simultaneous tomosynthesis and mechanical imaging of the breast

Predrag R. Bakic, Andrew D. A. Maidment, Anders Tingberg, 2019, Medical Imaging.

Segmentation of anatomical branching structures based on texture features and graph cut

Vasileios Megalooikonomou, Haibin Ling, Predrag R. Bakic, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Quality assurance of texture web materials using cellular neural networks

Predrag R. Bakic, Dragana P. Brzakovic, Nenad S. Vujovic, 1996, Other Conferences.

SU‐E‐I‐153: A Method for Fast Generation of High Resolution Software Breast Phantoms

Predrag R. Bakic, D Pokrajac, A Maidment, 2011 .

Detecting and Localizing Tree Nodes in Anatomic Structures of Branching Topology

Vasileios Megalooikonomou, Predrag R. Bakic, Angeliki Skoura, 2013, ICIAR.

Non-Gaussian statistical properties of virtual breast phantoms

Craig K. Abbey, John M. Boone, Miguel P. Eckstein, 2014, Medical Imaging.

Application of neural networks to model the signal-dependent noise of a digital breast tomosynthesis unit

Andrew D. A. Maidment, Predrag R. Bakic, Lucas R. Borges, 2018, Medical Imaging.

Use of Wavelet Multiresolution Analysis to Reduce Radiation Dose in Digital Mammography

Andrew D. A. Maidment, Predrag R. Bakic, Lucas R. Borges, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Evaluating the Effect of Tomosynthesis Acquisition Parameters on Image Texture: A Study Based on an Anthropomorphic Breast Tissue Software Model

Andrew D. A. Maidment, Cuiping Zhang, Predrag R. Bakic, 2008, Digital Mammography / IWDM.

A Representation and Classification Scheme for Tree-Like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms

Vasileios Megalooikonomou, Andrew D. A. Maidment, Predrag R. Bakic, 2009, IEEE Transactions on Medical Imaging.

Shape analysis of simulated breast anatomical structures

Andrew D. A. Maidment, Predrag R. Bakic, Francisco Contijoch, 2012, Medical Imaging.

Breast tissue classification in digital breast tomosynthesis images using texture features: a feasibility study

Andrew D. A. Maidment, Predrag R. Bakic, Despina Kontos, 2009, Medical Imaging.

Exploring the relationship between SDNR and detectability in dual-energy breast x-ray imaging

Predrag R. Bakic, Andrew D. A. Maidment, Kristen C. Lau, 2013, Medical Imaging.

A comparative study of volumetric breast density estimation in digital mammography and magnetic resonance imaging: results from a high-risk population

Andrew D. A. Maidment, Predrag R. Bakic, Emily F. Conant, 2010, Medical Imaging.

Pre-processing for image quality improvement in simultaneous DBT and mechanical imaging

Andrew D. A. Maidment, Predrag R. Bakic, Anders Tingberg, 2020, Medical Imaging 2020: Physics of Medical Imaging.

Dose requirements in stereoradiography

Andrew D. A. Maidment, Predrag R. Bakic, Michael Albert, 2002, SPIE Medical Imaging.

Non-rigid Registration of Mammograms Obtained with Variable Breast Compression: A Phantom Study

Andrew D. A. Maidment, Frédéric J. P. Richard, Predrag R. Bakic, 2003, WBIR.

Validation and optimization of digital breast tomosynthesis reconstruction using an anthropomorphic software breast phantom

Ann-Katherine Carton, Andrew D. A. Maidment, Predrag R. Bakic, 2010, Medical Imaging.

Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms

Craig K. Abbey, Miguel P. Eckstein, Andrew D. A. Maidment, 2020, Medical Imaging.

A Comparative Study of Volumetric and Area-Based Breast Density Estimation in Digital Mammography: Results from a Screening Population

Andrew D. A. Maidment, Predrag R. Bakic, Emily F. Conant, 2010, Digital Mammography / IWDM.

A generalized development environment for inspection of web materials

Hamed Sari-Sarraf, Predrag R. Bakic, Dragana Brzakovic, 1997, Proceedings of International Conference on Robotics and Automation.

Automatic detection of regions of interest in mammographic images

Vasileios Megalooikonomou, Haibin Ling, Andrew D. A. Maidment, 2011, Medical Imaging.

A representation and classification scheme for tree-like structures in medical images: an application on branching pattern analysis of ductal trees in x-ray galactograms

Vasileios Megalooikonomou, Andrew D. A. Maidment, Predrag R. Bakic, 2006, SPIE Medical Imaging.

2-AFC observer study of shape and contrast discrimination in digital stereomammography

Andrew D. A. Maidment, Predrag R. Bakic, Michael Albert, 2004, SPIE Medical Imaging.

A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantom

Robert M. Nishikawa, Beverly A. Lau, Predrag R. Bakic, 2012, Digital Mammography / IWDM.

Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise

Craig K. Abbey, Andrew D. A. Maidment, Predrag R. Bakic, 2021, IEEE Transactions on Medical Imaging.

TH‐D‐201B‐08: An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Reconstructions

Robert M. Nishikawa, Beverly A. Lau, Ingrid Reiser, 2010 .

SU-GG-I-132: Refinements to the Deformation Model of an Anthropomorphic Computer Generated Breast Phantom

Predrag R. Bakic, Fengshan Liu, A Maidment, 2010 .

VIRTUAL CLINICAL TRIALS OF BREAST TOMOSYNTHESIS

Predrag R. Bakic, 2014 .

Evaluation of Breast Ductal Networks Using Ramification Matrices

Andrew D. A. Maidment, Predrag R. Bakic, Michael Albert, 2003 .

Computer simulation of X-ray mammography using high resolution voxel phantoms

Andrew D. A. Maidment, Michael Sandborg, Predrag R. Bakic, 2003 .

Analysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment.

Andrew D. A. Maidment, Predrag R. Bakic, Emily F. Conant, 2011, Radiology.

Model-Based Comparison of Two Breast Tissue Compression Methodologies

Andrew D. A. Maidment, Predrag R. Bakic, Nicole V. Ruiter, 2004 .

Determining the optimal angular range of the X-ray source motion in tomosynthesis using virtual clinical trials

Andrew D. A. Maidment, Predrag R. Bakic, Bruno Barufaldi, 2020 .