Publications
Proceedings Virtual Imaging Trials in Medicine Page: 116-121 2024
Comparative Evaluation of Ray-Tracing and Monte Carlo Virtual Clinical Trials Pipelines for Lesion Detection in Digital Breast Tomosynthesis
Chloe J. Choi, Bruno Barufaldi, João P. V. Teixeira, Raymond J. Acciavatti, Andrew D. A. Maidment
Cross-validating ray-tracing and Monte Carlo simulators for lesion detectability in breast tomosynthesis VCTs.
SPIE Medical Imaging 2024
Representation of complex mammary parenchyma texture in tomosynthesis using simplex noise simulations
Bruno Barufaldi, Chloe J. Choi, João P. V. Teixeira, Magnus Dustler, Raphael B. Englander, Thais G. do Rego, Yuri Malheiros, Telmo Filho, Belayat Hossain, Juhun Lee, Andrew D. A. Maidment
Simulating realistic breast tissue textures in DBT using a Simplex-based noise model stratified by density classes.
Tomography 9 2023
Multiclass Segmentation of Breast Tissue and Suspicious Findings: A Simulation-Based Study for the Development of Self-Steering Tomosynthesis
Bruno Barufaldi, Yann Nobrega, Giulia Carvalhal, João P. V. Teixeira, Thais G. do Rego, Yuri Malheiros, Telmo Filho, Raymond J. Acciavatti, Andrew D. A. Maidment
Self-steering tomosynthesis by using a U-Net and Dirichlet calibration to detect high-risk areas from a single low-dose breast projection.
Live Demonstrations Workshop - SPIE Medical Imaging 2023
🏆 Best Live Demo
Interactive breast lesion designer for virtual trials based on Perlin noise
Magnus Dustler, Hanna Tomic, Anna Bjerken, Anders Tingberg, Pontus Timberg, Sophia Zackrisson, Arthur Chaves Costa, João P. V. Teixeira, Bruno Barufaldi, Predrag R. Bakic
Tool for creating realistic breast lesions in phantoms for virtual trials.
16th International Workshop on Breast Imaging (IWBI) 2022
Spatial dependency of lesion detectability in digital breast tomosynthesis
Chloe J. Choi, Bruno Barufaldi, João P. V. Teixeira, Raymond J. Acciavatti, Andrew D. A. Maidment
Using virtual clinical trials to show that a T-shaped source motion in tomosynthesis improves lesion detectability and reduces spatial anisotropies compared to conventional geometry.
16th International Workshop on Breast Imaging (IWBI) 2022
🏆 Top Scorer
Multiclass segmentation of suspicious findings in simulated breast tomosynthesis images using a U-Net
Yann Nobrega, Giulia Carvalhal, João P. V. Teixeira, Barbara Camargo, Thais G. do Rego, Yuri Malheiros, Telmo Filho, Trevor Vent, Raymond J. Acciavatti, Andrew D. A. Maidment, Bruno Barufaldi
Using virtual phantoms and a U-Net model to show that a single NGT projection can reliably identify suspicious, cancer-prone regions for guiding adaptive tomosynthesis scans.
SPIE Medical Imaging 2022
Novel Perlin-based phantoms using 3D models of compressed breast shapes and fractal noise
João P. V. Teixeira, Telmo Filho, Thais G. do Rego, Yuri Malheiros, Magnus Dustler, Predrag R. Bakic, Trevor Vent, Raymond J. Acciavatti, Srilalan Krishnamoorthy, Suleman Surti, Andrew D. A. Maidment, Bruno Barufaldi
Using Perlin-based phantoms to show how custom x-ray source motions can improve breast volume estimation and optimize DBT prototype acquisition geometry.
BRACIS 2021
Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought
Itamar Filho, João P. V. Teixeira, João W. L. Lins, Felipe Sousa, Ana Sousa, Manuel F. Junior, Thaís Ramos, Cecília Silva, Thais G. do Rego, Yuri Malheiros, Telmo Filho
Toy dataset of Iris flowers images for testing computer vision models.
WebMedia: Proceedings of the Brazilian Symposium on Multimedia and the Web 2021
An Approach for Automatic Description of Characters for Blind People
Itamar Filho, Felipe Sousa, João W. L. Lins, João P. V. Teixeira, Tiago Maritan
Combining face and expression detection with deep learning and audio synthesis to automatically generate character-based descriptions for blind and visually impaired users.