Lesion Explorer: A comprehensive segmentation and parcellation package to obtain regional volumetrics for subcortical hyperintensities and intracranial tissue. - Joel Ramirez; Erin Gibson; Azhar Quddus; Nancy J. Lobaugh; Anthony Feinstein; Brian Levine; Christopher J. M. Scott; N. Levy-Cooperman; Fuqiang Gao; Sandra E. Black (NeuroImage, 2011)

Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering. - Lucia Ballerini; Ruggiero Lovreglio; Maria del C. Valdés Hernández; Joel Ramirez; Bradley J. MacIntosh; Sandra E. Black; Joanna M. Wardlaw (CoRR, 2017)

Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs. - Emmanuel E. Ntiri; Melissa F. Holmes; Parisa Mojiri Forooshani; Joel Ramirez; Fuqiang Gao; Miracle Ozzoude; Sabrina Adamo; Christopher J. M. Scott; Dar Dowlatshahi; Jane M. Lawrence-Dewar; Donna Kwan; Anthony E. Lang; et al. (Neuroinformatics, 2021)

Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity. - Seyyed M. H. Haddad; Christopher J. M. Scott; Miracle Ozzoude; Courtney Berezuk; Melissa Holmes; Sabrina Adamo; Joel Ramirez; Stephen R. Arnott; Nuwan D. Nanayakkara; Malcolm A. Binns; Derek Beaton; Wendy Lou; et al. (Int. J. Biomed. Imaging, 2022)

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. - Lyndon Boone; Mahdi Biparva; Parisa Mojiri Forooshani; Joel Ramirez; Mario Masellis; Robert Bartha; Sean Symons; Stephen C. Strother; Sandra E. Black; Chris Heyn; Anne L. Martel; Richard H. Swartz; et al. (NeuroImage, 2023)