Predrag R. Bakic - researchr alias

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Viewing Publication 1 - 74 from 74

2021

2020

Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantomsAditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein. miipop 2020: 1131617 [doi]

Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantomsMiguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein. miipop 2020: [doi]

2018

Simulation of sequential pathology images for the virtual clinical trials with rad-path correlationPredrag R. Bakic, David D. Pokrajac, Michael D. Feldman, Andrew D. A. Maidment. iwbi 2018: [doi]

Optimized simulation of breast anatomy for virtual clinical trialsPredrag R. Bakic, Bruno Barufaldi, David D. Pokrajac, Susan P. Weinstein, Andrew D. A. Maidment. iwbi 2018: [doi]

Developing populations of software breast phantoms for virtual clinical trialsBruno Barufaldi, Predrag R. Bakic, David D. Pokrajac, Miguel A. Lago, Andrew D. A. Maidment. iwbi 2018: [doi]

Restored low-dose digital breast tomosynthesis: a perception studyLucas R. Borges, Predrag R. Bakic, Andrew D. A. Maidment, Marcelo A. C. Vieira. miipop 2018: 1057705 [doi]

Interactions of lesion detectability and size across single-slice DBT and 3D DBTMiguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein. miipop 2018: [doi]

2017

Method for Simulating Dose Reduction in Digital Breast TomosynthesisLucas R. Borges, Igor Guerrero, Predrag R. Bakic, Alessandro Foi, Andrew D. A. Maidment, Marcelo A. C. Vieira. tmi, 36(11):2331-2342, 2017. [doi]

2016

Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale GapPredrag R. Bakic, David D. Pokrajac, Rebecca Batiste, Michael D. Feldman, Andrew D. A. Maidment. mammo 2016: 478-485 [doi]

Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future DirectionsPredrag R. Bakic, Kyle J. Myers, Stephen J. Glick, Andrew D. A. Maidment. mammo 2016: 518-524 [doi]

The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital MammographyBruno Barufaldi, Lucas R. Borges, Marcelo Andrade da Costa Vieira, Salvador Gabarda, Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, Homero Schiabel. mammo 2016: 226-233 [doi]

Simulation of Dose Reduction in Digital Breast TomosynthesisLucas R. Borges, Igor Guerrero, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Marcelo Andrade da Costa Vieira. mammo 2016: 343-350 [doi]

Validation of no-reference image quality index for the assessment of digital mammographic imagesHelder Cesar Rodigues de Oliveira, Bruno Barufaldi, Lucas R. Borges, Salvador Gabarda, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Marcelo A. C. Vieira. miipop 2016: 978713 [doi]

Observer study to evaluate the simulation of mammographic calcification clustersMaria A. Z. Sousa, Karem D. Marcomini, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel. miipop 2016: [doi]

2015

Description and Characterization of a Novel Method for Partial Volume Simulation in Software Breast PhantomsFeiyu Chen, Predrag R. Bakic, Andrew D. A. Maidment, Shane T. Jensen, Xiquan Shi, David D. Pokrajac. tmi, 34(10):2146-2161, 2015. [doi]

Use of Wavelet Multiresolution Analysis to Reduce Radiation Dose in Digital MammographyHelder Cesar Rodigues de Oliveira, Lucas Rodrigues Borges, Polyana Ferreira Nunes, Predrag R. Bakic, Andrew D. A. Maidment, Marcelo Andrade da Costa Vieira. cbms 2015: 33-37 [doi]

Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissuesM. A. Lago, María José Rupérez, F. Martínez-Martínez, S. Martínez-Sanchis, Predrag R. Bakic, Carlos Monserrat. eswa, 42(21):7942-7950, 2015. [doi]

(1) surface on uniform grid and complexity of recursive-partitioning simulation of septal tissue regionsMarko D. Petkovic, Predrag R. Bakic, Andrew D. A. Maidment, David D. Pokrajac. amc, 252:263-272, 2015. [doi]

2014

It Is Hard to See a Needle in a Haystack: Modeling Contrast Masking Effect in a Numerical ObserverAli N. Avanaki, Kathryn S. Espig, Albert Xthona, Tom R. L. Kimpe, Predrag R. Bakic, Andrew D. A. Maidment. mammo 2014: 723-730 [doi]

Realistic Simulation of Breast Tissue Microstructure in Software Anthropomorphic PhantomsPredrag R. Bakic, David D. Pokrajac, Raffaele De Caro, Andrew D. A. Maidment. mammo 2014: 348-355 [doi]

Correlation between Topological Descriptors of the Breast Ductal Network from Clinical Galactograms and Texture Features of Corresponding MammogramsPredrag R. Bakic, David D. Pokrajac, Mathew Thomas, Angeliki Skoura, Tatyana Nuzhnaya, Vasileios Megalooikonomou, Brad M. Keller, Yuanjie Zheng, Despina Kontos, James C. Gee, Gilda Cardenosa, Andrew D. A. Maidment. mammo 2014: 658-665 [doi]

Power Spectrum Analysis of an Anthropomorphic Breast Phantom Compared to Patient Data in 2D Digital Mammography and Breast TomosynthesisLesley Cockmartin, Predrag R. Bakic, Hilde Bosmans, Andrew D. A. Maidment, Hunter Gall, Moustafa Zerhouni, Nicholas W. Marshall. mammo 2014: 423-429 [doi]

2013

Detecting and Localizing Tree Nodes in Anatomic Structures of Branching TopologyAngeliki Skoura, Tatyana Nuzhnaya, Predrag R. Bakic, Vasilis Megalooikonomou. iciar 2013: 485-493 [doi]

Classifying Ductal Trees Using Geometrical Features and Ensemble Learning TechniquesAngeliki Skoura, Tatyana Nuzhnaya, Predrag R. Bakic, Vasilis Megalooikonomou. eann 2013: 146-155 [doi]

2012

Evaluation of Various Mammography Phantoms for Image Quality Assessment in Digital Breast TomosynthesisClaudia C. Brunner, Raymond J. Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment, Mark B. Williams, Richard Kaczmarek, Kish Chakrabarti. mammo 2012: 284-291 [doi]

Simulation of Three Material Partial Volume Averaging in a Software Breast PhantomFeiyu Chen, David D. Pokrajac, Xiquan Shi, Fengshan Liu, Andrew D. A. Maidment, Predrag R. Bakic. mammo 2012: 149-156 [doi]

Towards Breast Anatomy Simulation Using GPUsJoseph H. Chui, David D. Pokrajac, Andrew D. A. Maidment, Predrag R. Bakic. mammo 2012: 506-513 [doi]

Filtering of Poisson Noise in Digital Mammography Using Local Statistics and Adaptive Wiener FilterMarcelo Andrade da Costa Vieira, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Nelson D. A. Mascarenhas. mammo 2012: 268-275 [doi]

A Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis SystemsPremkumar Elangovan, Alistair Mackenzie, Oliver Díaz, Alaleh Rashidnasab, David R. Dance, Kenneth C. Young, Lucy M. Warren, Eman Shaheen, Hilde Bosmans, Predrag R. Bakic, Kevin Wells. mammo 2012: 338-345 [doi]

Effects of Medical Display Luminance, Contrast and Temporal Compensation on CHO Detection Performance at Various Browsing Speeds and on Digital Breast Tomosynthesis ImagesCédric Marchessoux, Ali N. Avanaki, Predrag R. Bakic, Tom Kimpe, Andrew D. A. Maidment. mammo 2012: 292-299 [doi]

Segmentation of anatomical branching structures based on texture features and conditional random fieldTatyana Nuzhnaya, Predrag R. Bakic, Despina Kontos, Vasileios Megalooikonomou, Haibin Ling. miip 2012: [doi]

A Directional Small-Scale Tissue Model for an Anthropomorphic Breast PhantomIngrid S. Reiser, Beverly A. Lau, Robert M. Nishikawa, Predrag R. Bakic. mammo 2012: 141-148 [doi]

Performance analysis of EM-MPM and K-means clustering in 3D ultrasound image segmentationHuanyi Yang, Lauren A. Christopher, Nebojsa Duric, Erik West, Predrag R. Bakic. eit 2012: 1-4 [doi]

Is the Outcome of Optimizing the System Acquisition Parameters Sensitive to the Reconstruction Algorithm in Digital Breast Tomosynthesis?Rongping Zeng, Subok Park, Predrag R. Bakic, Kyle J. Myers. mammo 2012: 346-353 [doi]

2011

2010

Analysis of Geometric Accuracy in Digital Breast Tomosynthesis ReconstructionPredrag R. Bakic, Peter Ringer, Johnny Kuo, Susan Ng, Andrew D. A. Maidment. mammo 2010: 62-69 [doi]

An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom ProjectionsPredrag R. Bakic, Beverly A. Lau, Ann-Katherine Carton, Ingrid S. Reiser, Andrew D. A. Maidment, Robert M. Nishikawa. mammo 2010: 452-458 [doi]

Mammographic image classification using histogram intersectionErkang Cheng, Nianhua Xie, Haibin Ling, Predrag R. Bakic, Andrew D. A. Maidment, Vasileios Megalooikonomou. isbi 2010: 197-200 [doi]

A Comparative Study of the Inter-reader Variability of Breast Percent Density Estimation in Digital Mammography: Potential Effect of Reader s Training and Clinical ExperienceEmily F. Conant, Diane Li, Sara Gavenonis, Predrag R. Bakic, Ann-Katherine Carton, Cuiping Zhang, Andrew D. A. Maidment, Despina Kontos. mammo 2010: 114-120 [doi]

A comparative study of volumetric breast density estimation in digital mammography and magnetic resonance imaging: results from a high-risk populationDespina Kontos, Ye Xing, Predrag R. Bakic, Emily F. Conant, Andrew D. A. Maidment. micad 2010: 762409 [doi]

A Comparative Study of Volumetric and Area-Based Breast Density Estimation in Digital Mammography: Results from a Screening PopulationDespina Kontos, Predrag R. Bakic, Raymond J. Acciavatti, Emily F. Conant, Andrew D. A. Maidment. mammo 2010: 378-385 [doi]

Probabilistic branching node detection using adaboost and hybrid local featuresTatyana Nuzhnaya, Michael Barnathan, Haibin Ling, Vasileios Megalooikonomou, Predrag R. Bakic, Andrew D. A. Maidment. isbi 2010: 221-224 [doi]

2009

2008

Comparison of Breast Percent Density Estimated from Digital Mammograms and Central Reconstructed Tomosynthesis Slice ImagesPredrag R. Bakic, Despina Kontos, Andrea B. Troxel, Andrew D. A. Maidment. mammo 2008: 674-680 [doi]

Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast ImagingMichael Barnathan, Jingjing Zhang, Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment, Vasileios Megalooikonomou. mammo 2008: 25-32 [doi]

Digital Breast Tomosynthesis Parenchymal Texture Analysis for Breast Cancer Risk Estimation: A Preliminary StudyDespina Kontos, Predrag R. Bakic, Andrea B. Troxel, Emily F. Conant, Andrew D. A. Maidment. mammo 2008: 681-688 [doi]

Texture in digital breast tomosynthesis: a comparison between mammographic and tomographic characterization of parenchymal propertiesDespina Kontos, Predrag R. Bakic, Andrew D. A. Maidment. micad 2008: [doi]

Evaluating the Effect of Tomosynthesis Acquisition Parameters on Image Texture: A Study Based on an Anthropomorphic Breast Tissue Software ModelDespina Kontos, Cuiping Zhang, Nicole V. Ruiter, Predrag R. Bakic, Andrew D. A. Maidment. mammo 2008: 491-498 [doi]

Simulation of tomosynthesis images based on an anthropomorphic software breast tissue phantomNicole V. Ruiter, Cuiping Zhang, Predrag R. Bakic, Ann-Katherine Carton, Johnny Kuo, Andrew D. A. Maidment. miigp 2008: [doi]

Evaluation of 3D Breast Surface Reconstruction Accuracy Using Non-contact Scanner Images: A Phantom StudyCuiping Zhang, Predrag R. Bakic, Shugao Xia, Fengshan Liu, Andrew D. A. Maidment. mammo 2008: 585-592 [doi]

Development of an anthropomorphic breast software phantom based on region growing algorithmCuiping Zhang, Predrag R. Bakic, Andrew D. A. Maidment. miigp 2008: [doi]

2007

2006

Registration of Mammograms and Breast Tomosynthesis ImagesPredrag R. Bakic, Frédéric J. P. Richard, Andrew D. A. Maidment. mammo 2006: 498-503 [doi]

2D-to-3D X-Ray Breast Image RegistrationPredrag R. Bakic, Frédéric J. P. Richard, Andrew D. A. Maidment. wbir 2006: 84-91 [doi]

Comparison of breast ductal branching pattern classification using x-ray galactograms and MR autogalactogramsPredrag R. Bakic, Mark A. Rosen, Andrew D. A. Maidment. miip 2006: 614425 [doi]

Comparison of Methods for Classification of Breast Ductal Branching PatternsPredrag R. Bakic, Despina Kontos, Vasileios Megalooikonomou, Mark A. Rosen, Andrew D. A. Maidment. mammo 2006: 634-641 [doi]

Classification of galactograms using fractal properties of the breast ductal networkDespina Kontos, Vasileios Megalooikonomou, Ailar Javadi, Predrag R. Bakic, Andrew D. A. Maidment. isbi 2006: 1324-1327 [doi]

A representation and classification scheme for tree-like structures in medical images: an application on branching pattern analysis of ductal trees in x-ray galactogramsVasileios Megalooikonomou, Despina Kontos, Joseph Danglemaier, Ailar Javadi, Predrag R. Bakic, Andrew D. A. Maidment. miip 2006: [doi]

Mammogram registration: a phantom-based evaluation of compressed Breast Thickness variation effectsFrédéric J. P. Richard, Predrag R. Bakic, Andrew D. A. Maidment. tmi, 25(2):188-197, 2006. [doi]

2003

Non-rigid Registration of Mammograms Obtained with Variable Breast Compression: A Phantom StudyFrédéric J. P. Richard, Predrag R. Bakic, Andrew D. A. Maidment. wbir 2003: 281-290 [doi]

1998

Anatomic Segmentation of Mammograms Via Breast ModelPredrag R. Bakic, Dragana Brzakovic, Z. Zhu. mammo 1998: 291-294 [doi]

An Approach to Using a Generalized Breast Model to Segment Digital MammogramsPredrag R. Bakic, D. Brzakovic, P. Brzakovic, Z. Zhu. cbms 1998: 84-89 [doi]

1997

Extension of CNN-Based Multilevel Halftoning to Color ReproductionPredrag R. Bakic, D. Brzakovic. icip 1997: 836-829 [doi]

A generalized development environment for inspection of web materialsDragana Brzakovic, Predrag R. Bakic, Nenad Vujovic, Hamed Sari-Sarraf. icra 1997: 1-8 [doi]

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