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2020 – today
- 2024
- [j9]Bruno Barufaldi, Jordy V. Gomes, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, Yuri Malheiros, Trevor Lewis Vent, Aimilia Gastounioti, Andrew D. A. Maidment:
Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials. Pattern Recognit. 153: 110494 (2024) - [j8]Raymond Joseph Acciavatti, Chloe J. Choi, Trevor Lewis Vent, Bruno Barufaldi, Eric A. Cohen, E. Paul Wileyto, Andrew D. A. Maidment:
Non-Isocentric Geometry for Next-Generation Tomosynthesis With Super-Resolution. IEEE Trans. Medical Imaging 43(1): 377-391 (2024) - [i5]Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, Susan P. Weinstein, Craig K. Abbey, Miguel P. Eckstein:
Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. CoRR abs/2405.14720 (2024) - 2023
- [c80]Lucas Exposto Soares, Renann F. Brandao, Lucas R. Borges, Renato F. Caron, Bruno Barufaldi, Andrew D. A. Maidment, Marcelo A. C. Vieira:
Assessing the impact of correlated noise in digital mammography: a virtual clinical trial. Image Perception, Observer Performance, and Technology Assessment 2023 - 2021
- [j7]Trevor Lewis Vent, Raymond Joseph Acciavatti, Andrew D. A. Maidment:
Development and Evaluation of the Fourier Spectral Distortion Metric. IEEE Trans. Medical Imaging 40(3): 1055-1064 (2021) - [j6]Bruno Barufaldi, Craig K. Abbey, Miguel A. Lago, Trevor Lewis Vent, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment:
Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise. IEEE Trans. Medical Imaging 40(12): 3436-3445 (2021) - [c79]Lucca R. Peregrino, Jordy V. Gomes, Thaís Gaudencio do Rêgo, Yuri de A. M. Barbosa, Telmo de Menezes e Silva Filho, Andrew D. A. Maidment, Bruno Barufaldi:
Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques. BIOSIGNALS 2021: 252-259 - 2020
- [c78]Raymond Joseph Acciavatti, Eric A. Cohen, Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Meng-Kang Hsieh, Emily F. Conant, Christopher G. Scott, Stacey J. Winham, Karla Kerlikowske, Celine Vachon, Andrew D. A. Maidment, Despina Kontos:
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis. Computer-Aided Diagnosis 2020 - [c77]Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein:
Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. Image Perception, Observer Performance, and Technology Assessment 2020: 113160V - [c76]Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein:
Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. Image Perception, Observer Performance, and Technology Assessment 2020: 1131617
2010 – 2019
- 2018
- [c75]Raymond Joseph Acciavatti, Meng-Kang Hsieh, Aimilia Gastounioti, Yifan Hu, Jinbo Chen, Andrew D. A. Maidment, Despina Kontos:
Validation of the textural realism of a 3D anthropomorphic phantom for digital breast tomosynthesis. IWBI 2018: 107180R - [c74]Predrag R. Bakic, David D. Pokrajac, Michael D. Feldman, Andrew D. A. Maidment:
Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation. IWBI 2018: 107180F - [c73]Bruno Barufaldi, Elizabeth S. McDonald, Emily F. Conant, Andrew D. A. Maidment:
Diagnostic radiation dose after the implementation of digital breast tomosynthesis screening. IWBI 2018: 107180I - [c72]Kristen C. Lau, Jessica C. Hsu, Pratap C. Naha, Peter Chhour, Renee Hastings, Joel M. Stein, Elizabeth S. McDonald, David P. Cormode, Andrew D. A. Maidment:
Acquisition parameters for dual-energy contrast-enhanced digital mammography using a micelle-based all-in-one nanoparticle (AION) contrast agent: a phantom study. IWBI 2018: 107180N - [c71]Predrag R. Bakic, Bruno Barufaldi, David D. Pokrajac, Susan P. Weinstein, Andrew D. A. Maidment:
Optimized simulation of breast anatomy for virtual clinical trials. IWBI 2018: 107181X - [c70]Bruno Barufaldi, Predrag R. Bakic, David D. Pokrajac, Miguel A. Lago, Andrew D. A. Maidment:
Developing populations of software breast phantoms for virtual clinical trials. IWBI 2018: 107181U - [c69]Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein:
Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Image Perception, Observer Performance, and Technology Assessment 2018: 105770X - [c68]Lucas R. Borges, Predrag R. Bakic, Andrew D. A. Maidment, Marcelo Andrade da Costa Vieira:
Restored low-dose digital breast tomosynthesis: a perception study. Image Perception, Observer Performance, and Technology Assessment 2018: 1057705 - 2017
- [j5]Lucas R. Borges, Igor Guerrero, Predrag R. Bakic, Alessandro Foi, Andrew D. A. Maidment, Marcelo Andrade da Costa Vieira:
Method for Simulating Dose Reduction in Digital Breast Tomosynthesis. IEEE Trans. Medical Imaging 36(11): 2331-2342 (2017) - 2016
- [c67]Emily F. Conant, Andrew Oustimov, Samantha P. Zuckerman, Elizabeth S. McDonald, Susan P. Weinstein, Andrew D. A. Maidment, Bruno Barufaldi, Marie Synnestvedt, Mitchell D. Schnall:
Summary of Outcomes from Consecutive Years of Tomosynthesis Screening at an American Academic Institution. Digital Mammography / IWDM 2016: 20-24 - [c66]Bruno Barufaldi, Lucas R. Borges, Marcelo Andrade da Costa Vieira, Salvador Gabarda, Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, Homero Schiabel:
The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital Mammography. Digital Mammography / IWDM 2016: 226-233 - [c65]Lucas R. Borges, Igor Guerrero, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Marcelo Andrade da Costa Vieira:
Simulation of Dose Reduction in Digital Breast Tomosynthesis. Digital Mammography / IWDM 2016: 343-350 - [c64]Predrag R. Bakic, David D. Pokrajac, Rebecca Batiste, Michael D. Feldman, Andrew D. A. Maidment:
Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap. Digital Mammography / IWDM 2016: 478-485 - [c63]Predrag R. Bakic, Kyle J. Myers, Stephen J. Glick, Andrew D. A. Maidment:
Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future Directions. Digital Mammography / IWDM 2016: 518-524 - [c62]Kristen C. Lau, Raymond Joseph Acciavatti, Andrew D. A. Maidment:
Estimating Breast Thickness for Dual-Energy Subtraction in Contrast-Enhanced Digital Mammography: A Theoretical Model. Digital Mammography / IWDM 2016: 593-600 - [c61]Alireza Nasiri Avanaki, Kathryn S. Espig, Eddie Knippel, Tom R. L. Kimpe, Albert Xthona, Andrew D. A. Maidment:
Location- and lesion-dependent estimation of background tissue complexity for anthropomorphic model observer. Image Perception, Observer Performance, and Technology Assessment 2016: 97870A - [c60]Maria A. Z. Sousa, Karem D. Marcomini, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel:
Observer study to evaluate the simulation of mammographic calcification clusters. Image Perception, Observer Performance, and Technology Assessment 2016: 97871D - [c59]Helder Cesar Rodigues de Oliveira, Bruno Barufaldi, Lucas R. Borges, Salvador Gabarda, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Marcelo Andrade da Costa Vieira:
Validation of no-reference image quality index for the assessment of digital mammographic images. Image Perception, Observer Performance, and Technology Assessment 2016: 978713 - 2015
- [j4]Marko D. Petkovic, Predrag R. Bakic, Andrew D. A. Maidment, David D. Pokrajac:
Asymptotic number of Z3Δ cells covering C(1) surface on uniform grid and complexity of recursive-partitioning simulation of septal tissue regions. Appl. Math. Comput. 252: 263-272 (2015) - [j3]Feiyu Chen, Predrag R. Bakic, Andrew D. A. Maidment, Shane T. Jensen, Xiquan Shi, David D. Pokrajac:
Description and Characterization of a Novel Method for Partial Volume Simulation in Software Breast Phantoms. IEEE Trans. Medical Imaging 34(10): 2146-2161 (2015) - [c58]Helder Cesar Rodigues de Oliveira, Lucas Rodrigues Borges, Polyana Ferreira Nunes, Predrag R. Bakic, Andrew D. A. Maidment, Marcelo Andrade da Costa Vieira:
Use of Wavelet Multiresolution Analysis to Reduce Radiation Dose in Digital Mammography. CBMS 2015: 33-37 - [c57]Raymond Joseph Acciavatti, Shonket Ray, Brad M. Keller, Andrew D. A. Maidment, Emily F. Conant:
A comparative analysis of 2D and 3D CAD for calcifications in digital breast tomosynthesis. Computer-Aided Diagnosis 2015: 94140N - [i4]Alireza Nasiri Avanaki, Kathryn S. Espig, Tom R. L. Kimpe, Andrew D. A. Maidment:
On anthropomorphic decision making in a model observer. CoRR abs/1506.09169 (2015) - 2014
- [c56]Andrew D. A. Maidment:
Virtual Clinical Trials for the Assessment of Novel Breast Screening Modalities. Digital Mammography / IWDM 2014: 1-8 - [c55]Predrag R. Bakic, David D. Pokrajac, Raffaele De Caro, Andrew D. A. Maidment:
Realistic Simulation of Breast Tissue Microstructure in Software Anthropomorphic Phantoms. Digital Mammography / IWDM 2014: 348-355 - [c54]Lesley Cockmartin, Predrag R. Bakic, Hilde Bosmans, Andrew D. A. Maidment, Hunter Gall, Moustafa Zerhouni, Nicholas W. Marshall:
Power Spectrum Analysis of an Anthropomorphic Breast Phantom Compared to Patient Data in 2D Digital Mammography and Breast Tomosynthesis. Digital Mammography / IWDM 2014: 423-429 - [c53]Predrag 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:
Correlation between Topological Descriptors of the Breast Ductal Network from Clinical Galactograms and Texture Features of Corresponding Mammograms. Digital Mammography / IWDM 2014: 658-665 - [c52]Alireza Nasiri Avanaki, Kathryn S. Espig, Albert Xthona, Tom R. L. Kimpe, Predrag R. Bakic, Andrew D. A. Maidment:
It Is Hard to See a Needle in a Haystack: Modeling Contrast Masking Effect in a Numerical Observer. Digital Mammography / IWDM 2014: 723-730 - [i3]Alireza Nasiri Avanaki, Kathryn S. Espig, Andrew D. A. Maidment, Cédric Marchessoux, Predrag R. Bakic, Tom R. L. Kimpe:
Development and evaluation of a 3D model observer with nonlinear spatiotemporal contrast sensitivity. CoRR abs/1403.6183 (2014) - [i2]Alireza Nasiri Avanaki, Kathryn S. Espig, Albert Xthona, Tom R. L. Kimpe, Predrag R. Bakic, Andrew D. A. Maidment:
It is hard to see a needle in a haystack: Modeling contrast masking effect in a numerical observer. CoRR abs/1408.1135 (2014) - 2013
- [c51]Yan Wang, Brad M. Keller, Yuanjie Zheng, Raymond Joseph Acciavatti, James C. Gee, Andrew D. A. Maidment, Despina Kontos:
Texture feature standardization in digital mammography for improving generalizability across devices. Computer-Aided Diagnosis 2013: 867026 - [i1]Alireza Nasiri Avanaki, Kathryn S. Espig, Cédric Marchessoux, Elizabeth A. Krupinski, Predrag R. Bakic, Tom R. L. Kimpe, Andrew D. A. Maidment:
Integration of spatio-temporal contrast sensitivity with a multi-slice channelized Hotelling observer. CoRR abs/1304.1419 (2013) - 2012
- [c50]Sara Gavenonis, Kristen Lau, Roshan Karunamuni, Yiheng Zhang, Baorui Ren, Chris Ruth, Andrew D. A. Maidment:
Initial Experience with Dual-Energy Contrast-Enhanced Digital Breast Tomosynthesis in the Characterization of Breast Cancer. Digital Mammography / IWDM 2012: 32-39 - [c49]Feiyu Chen, David D. Pokrajac, Xiquan Shi, Fengshan Liu, Andrew D. A. Maidment, Predrag R. Bakic:
Simulation of Three Material Partial Volume Averaging in a Software Breast Phantom. Digital Mammography / IWDM 2012: 149-156 - [c48]Marcelo Andrade da Costa Vieira, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Nelson D. A. Mascarenhas:
Filtering of Poisson Noise in Digital Mammography Using Local Statistics and Adaptive Wiener Filter. Digital Mammography / IWDM 2012: 268-275 - [c47]Claudia C. Brunner, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment, Mark B. Williams, Richard Kaczmarek, Kish Chakrabarti:
Evaluation of Various Mammography Phantoms for Image Quality Assessment in Digital Breast Tomosynthesis. Digital Mammography / IWDM 2012: 284-291 - [c46]Cédric Marchessoux, Alireza Nasiri Avanaki, Predrag R. Bakic, Tom Kimpe, Andrew D. A. Maidment:
Effects of Medical Display Luminance, Contrast and Temporal Compensation on CHO Detection Performance at Various Browsing Speeds and on Digital Breast Tomosynthesis Images. Digital Mammography / IWDM 2012: 292-299 - [c45]Raymond Joseph Acciavatti, Andrew D. A. Maidment:
Proposing an Acquisition Geometry That Optimizes Super-Resolution in Digital Breast Tomosynthesis. Digital Mammography / IWDM 2012: 386-393 - [c44]Roshan Karunamuni, Ajlan Al Zaki, Anatoliy V. Popov, E. James Delikatny, Sara Gavenonis, Andrew Tsourkas, Andrew D. A. Maidment:
An Examination of Silver as a Radiographic Contrast Agent in Dual-Energy Breast X-ray Imaging. Digital Mammography / IWDM 2012: 418-425 - [c43]Joseph H. Chui, David D. Pokrajac, Andrew D. A. Maidment, Predrag R. Bakic:
Towards Breast Anatomy Simulation Using GPUs. Digital Mammography / IWDM 2012: 506-513 - [c42]Yan Wang, Brad M. Keller, Yuanjie Zheng, Raymond Joseph Acciavatti, James C. Gee, Andrew D. A. Maidment, Despina Kontos:
A Phantom Study for Assessing the Effect of Different Digital Detectors on Mammographic Texture Features. Digital Mammography / IWDM 2012: 604-610 - [c41]Raymond Joseph Acciavatti, Stewart B. Mein, Andrew D. A. Maidment:
Investigating Oblique Reconstructions with Super-Resolution in Digital Breast Tomosynthesis. Digital Mammography / IWDM 2012: 737-744 - [e1]Andrew D. A. Maidment, Predrag R. Bakic, Sara Gavenonis:
Breast Imaging - 11th International Workshop, IWDM 2012, Philadelphia, PA, USA, July 8-11, 2012. Proceedings. Lecture Notes in Computer Science 7361, Springer 2012, ISBN 978-3-642-31270-0 [contents] - 2011
- [c40]Erkang Cheng, Shawn McLaughlin, Vasileios Megalooikonomou, Predrag R. Bakic, Andrew D. A. Maidment, Haibin Ling:
Learning-Based Vessel Segmentation in Mammographic Images. HISB 2011: 315-322 - [c39]Angeliki Skoura, Vasileios Megalooikonomou, Predrag R. Bakic, Andrew D. A. Maidment:
Classifying Ductal Tree Structures Using Topological Descriptors of Branching. EANN/AIAI (2) 2011: 455-463 - [c38]Dania Daye, Ezra Bobo, Bethany Baumann, Antonios Ioannou, Emily F. Conant, Andrew D. A. Maidment, Despina Kontos:
Mammographic parenchymal texture as an imaging marker of hormonal activity: a comparative study between pre- and post-menopausal women. Computer-Aided Diagnosis 2011: 79631N - [c37]Erkang Cheng, Haibin Ling, Predrag R. Bakic, Andrew D. A. Maidment, Vasileios Megalooikonomou:
Automatic detection of regions of interest in mammographic images. Image Processing 2011: 79623J - 2010
- [c36]Erkang Cheng, Nianhua Xie, Haibin Ling, Predrag R. Bakic, Andrew D. A. Maidment, Vasileios Megalooikonomou:
Mammographic image classification using histogram intersection. ISBI 2010: 197-200 - [c35]Tatyana Nuzhnaya, Michael Barnathan, Haibin Ling, Vasileios Megalooikonomou, Predrag R. Bakic, Andrew D. A. Maidment:
Probabilistic branching node detection using adaboost and hybrid local features. ISBI 2010: 221-224 - [c34]Yuanjie Zheng, Andrew D. A. Maidment, James C. Gee:
Accurate registration of dynamic contrast-enhanced breast MR images with robust estimation and linear programming. ISBI 2010: 536-539 - [c33]Predrag R. Bakic, Peter Ringer, Johnny Kuo, Susan Ng, Andrew D. A. Maidment:
Analysis of Geometric Accuracy in Digital Breast Tomosynthesis Reconstruction. Digital Mammography / IWDM 2010: 62-69 - [c32]Emily F. Conant, Diane Li, Sara Gavenonis, Predrag R. Bakic, Ann-Katherine Carton, Cuiping Zhang, Andrew D. A. Maidment, Despina Kontos:
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. Digital Mammography / IWDM 2010: 114-120 - [c31]Despina Kontos, Predrag R. Bakic, Raymond Joseph Acciavatti, Emily F. Conant, Andrew D. A. Maidment:
A Comparative Study of Volumetric and Area-Based Breast Density Estimation in Digital Mammography: Results from a Screening Population. Digital Mammography / IWDM 2010: 378-385 - [c30]Raymond Joseph Acciavatti, Andrew D. A. Maidment:
Calculation of OTF, NPS, and DQE for Oblique X-Ray Incidence on Turbid Granular Phosphors. Digital Mammography / IWDM 2010: 436-443 - [c29]Predrag R. Bakic, Beverly A. Lau, Ann-Katherine Carton, Ingrid S. Reiser, Andrew D. A. Maidment, Robert M. Nishikawa:
An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections. Digital Mammography / IWDM 2010: 452-458 - [c28]Despina Kontos, Ye Xing, Predrag R. Bakic, Emily F. Conant, Andrew D. A. Maidment:
A comparative study of volumetric breast density estimation in digital mammography and magnetic resonance imaging: results from a high-risk population. Computer-Aided Diagnosis 2010: 762409
2000 – 2009
- 2009
- [j2]Vasilis Megalooikonomou, Michael Barnathan, Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment:
A Representation and Classification Scheme for Tree-Like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms. IEEE Trans. Medical Imaging 28(4): 487-493 (2009) - [c27]Haibin Ling, Michael Barnathan, Vasileios Megalooikonomou, Predrag R. Bakic, Andrew D. A. Maidment:
Probabilistic Branching Node Detection Using Hybrid Local Features. ISBI 2009: 233-236 - [c26]Despina Kontos, Rachelle Berger, Predrag R. Bakic, Andrew D. A. Maidment:
Breast tissue classification in digital breast tomosynthesis images using texture features: a feasibility study. Computer-Aided Diagnosis 2009: 726024 - 2008
- [c25]Michael Barnathan, Jingjing Zhang, Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment, Vasileios Megalooikonomou:
Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast Imaging. Digital Mammography / IWDM 2008: 25-32 - [c24]Ann-Katherine Carton, Christer Ullberg, Karin Lindman, Tom Francke, Andrew D. A. Maidment:
Optimization of a Dual-Energy Contrast-Enhanced Technique for a Photon Counting Digital Breast Tomosynthesis System. Digital Mammography / IWDM 2008: 116-123 - [c23]Ann-Katherine Carton, Jean Anne Currivan, Emily F. Conant, Andrew D. A. Maidment:
Temporal Subtraction Versus Dual-Energy Contrast-Enhanced Digital Breast Tomosynthesis: A Pilot Study. Digital Mammography / IWDM 2008: 166-173 - [c22]Despina Kontos, Cuiping Zhang, Nicole V. Ruiter, Predrag R. Bakic, Andrew D. A. Maidment:
Evaluating the Effect of Tomosynthesis Acquisition Parameters on Image Texture: A Study Based on an Anthropomorphic Breast Tissue Software Model. Digital Mammography / IWDM 2008: 491-498 - [c21]Cuiping Zhang, Predrag R. Bakic, Shugao Xia, Fengshan Liu, Andrew D. A. Maidment:
Evaluation of 3D Breast Surface Reconstruction Accuracy Using Non-contact Scanner Images: A Phantom Study. Digital Mammography / IWDM 2008: 585-592 - [c20]Predrag R. Bakic, Despina Kontos, Andrea B. Troxel, Andrew D. A. Maidment:
Comparison of Breast Percent Density Estimated from Digital Mammograms and Central Reconstructed Tomosynthesis Slice Images. Digital Mammography / IWDM 2008: 674-680 - [c19]Despina Kontos, Predrag R. Bakic, Andrea B. Troxel, Emily F. Conant, Andrew D. A. Maidment:
Digital Breast Tomosynthesis Parenchymal Texture Analysis for Breast Cancer Risk Estimation: A Preliminary Study. Digital Mammography / IWDM 2008: 681-688 - [c18]Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment:
Texture in digital breast tomosynthesis: a comparison between mammographic and tomographic characterization of parenchymal properties. Computer-Aided Diagnosis 2008: 69150A - [c17]Cuiping Zhang, Predrag R. Bakic, Andrew D. A. Maidment:
Development of an anthropomorphic breast software phantom based on region growing algorithm. Image-Guided Procedures 2008: 69180V - [c16]Nicole V. Ruiter, Cuiping Zhang, Predrag R. Bakic, Ann-Katherine Carton, Johnny Kuo, Andrew D. A. Maidment:
Simulation of tomosynthesis images based on an anthropomorphic software breast tissue phantom. Image-Guided Procedures 2008: 69182I - 2007
- [c15]Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment:
Analysis of parenchymal texture properties in breast tomosynthesis images. Computer-Aided Diagnosis 2007: 651417 - [c14]Predrag R. Bakic, Despina Kontos, Cuiping Zhang, Martin J. Yaffe, Andrew D. A. Maidment:
Analysis of percent density estimates from digital breast tomosynthesis projection images. Computer-Aided Diagnosis 2007: 651424 - [c13]Predrag R. Bakic, Nenad Vujovic, Andrew D. A. Maidment:
Establishing correspondence in mammograms and tomosynthesis projections. Computer-Aided Diagnosis 2007: 651425 - 2006
- [j1]Frédéric J. P. Richard, Predrag R. Bakic, Andrew D. A. Maidment:
Mammogram registration: a phantom-based evaluation of compressed Breast Thickness variation effects. IEEE Trans. Medical Imaging 25(2): 188-197 (2006) - [c12]Despina Kontos, Vasileios Megalooikonomou, Ailar Javadi, Predrag R. Bakic, Andrew D. A. Maidment:
Classification of galactograms using fractal properties of the breast ductal network. ISBI 2006: 1324-1327 - [c11]Andrew D. A. Maidment, Christer Ullberg, Tom Francke, Lars Lindqvist, Skiff Sokolov, Karin Lindman, Leif Adelow, Per Sunden:
Clinical Evaluation of a Photon-Counting Tomosynthesis Mammography System. Digital Mammography / IWDM 2006: 144-151 - [c10]Ann-Katherine Carton, Jingjing Li, Sara Chen, Emily F. Conant, Andrew D. A. Maidment:
Optimization of Contrast-Enhanced Digital Breast Tomosynthesis. Digital Mammography / IWDM 2006: 183-189 - [c9]Mark B. Williams, Priya Raghunathan, Anthony Seibert, Alex Kwan, Joseph Y. Lo, Ehsan Samei, Laurie Lee Fajardo, Andrew D. A. Maidment, Martin J. Yaffe, Aili Bloomquist:
Beam Optimization for Digital Mammography - II. Digital Mammography / IWDM 2006: 273-280 - [c8]Predrag R. Bakic, Frédéric J. P. Richard, Andrew D. A. Maidment:
Registration of Mammograms and Breast Tomosynthesis Images. Digital Mammography / IWDM 2006: 498-503 - [c7]Predrag R. Bakic, Despina Kontos, Vasileios Megalooikonomou, Mark A. Rosen, Andrew D. A. Maidment:
Comparison of Methods for Classification of Breast Ductal Branching Patterns. Digital Mammography / IWDM 2006: 634-641 - [c6]Vasileios Megalooikonomou, Despina Kontos, Joseph Danglemaier, Ailar Javadi, Predrag R. Bakic, Andrew D. A. Maidment:
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. Image Processing 2006: 61441H - [c5]Predrag R. Bakic, Mark A. Rosen, Andrew D. A. Maidment:
Comparison of breast ductal branching pattern classification using x-ray galactograms and MR autogalactograms. Image Processing 2006: 614425 - [c4]Predrag R. Bakic, Frédéric J. P. Richard, Andrew D. A. Maidment:
2D-to-3D X-Ray Breast Image Registration. WBIR 2006: 84-91 - 2003
- [c3]Frédéric J. P. Richard, Predrag R. Bakic, Andrew D. A. Maidment:
Non-rigid Registration of Mammograms Obtained with Variable Breast Compression: A Phantom Study. WBIR 2003: 281-290
1990 – 1999
- 1998
- [c2]Andrew D. A. Maidment, Michael Albert, Emily F. Conant, Stephen A. Feig:
Three-Dimensional Visualization of Breast Cancer. Digital Mammography / IWDM 1998: 57-60 - [c1]Gordon E. Mawdsley, Martin J. Yaffe, Andrew D. A. Maidment, Loren Niklason, Mark B. Williams, Bradley M. Hemminger:
Acceptance Testing and Quality Control of Digital Mammography Equipment. Digital Mammography / IWDM 1998: 437-444
Coauthor Index
aka: Vasilis Megalooikonomou
aka: David D. Pokrajac
aka: Marcelo Andrade da Costa Vieira
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last updated on 2024-11-28 20:34 CET by the dblp team
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