Physics of MRF regularization for segmentation of materials microstructure images. - Jeff P. Simmons; Craig Przybyla; Stephen Bricker; Dae-Woo Kim; Mary L. Comer (ICIP, 2014)

Anomaly detection of microstructural defects in continuous fiber reinforced composites. - Stephen Bricker; Jeffrey P. Simmons; Craig Przybyla; Russell C. Hardie (Computational Imaging, 2015)

Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences. - Hongkai Yu; Youjie Zhou; Jeff P. Simmons; Craig P. Przybyla; Yuewei Lin; Xiaochuan Fan; Yang Mi; Song Wang 002 (CVPR, 2016)

Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials. - Youjie Zhou; Hongkai Yu; Jeff P. Simmons; Craig Przybyla; Song Wang 002 (IEEE Trans. Image Process., 2016)

On-the-Fly Performance Evaluation of Large-Scale Fiber Tracking. - Hongkai Yu; Jeff P. Simmons; Craig P. Przybyla; Song Wang 002 (Computational Imaging, 2017)

Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images. - Hongkai Yu; Dazhou Guo; Zhipeng Yan; Wei Liu; Jeff P. Simmons; Craig P. Przybyla; Song Wang 002 (CoRR, 2018)

Weakly supervised easy-to-hard learning for object detection in image sequences. - Hongkai Yu; Dazhou Guo; Zhipeng Yan; Lan Fu; Jeff P. Simmons; Craig P. Przybyla; Song Wang 002 (Neurocomputing, 2020)

Deep Learning for Object Detection in Materials-Science Images: A tutorial. - Lan Fu; Hongkai Yu; Xiaoguang Li; Craig P. Przybyla; Song Wang 002 (IEEE Signal Process. Mag., 2022)

Quantitative Comparisons of Volumetric Datasets From Experiments and Computational Models. - Khurram Amjad; William J. R. Christian; Ksenija Dvurecenska; David H. Mollenhauer; Craig P. Przybyla; Eann A. Patterson (IEEE Access, 2023)