Detection of small human cerebral cortical lesions with MRI under different levels of Gaussian smoothing: applications in epilepsy. - Diego Cantor-Rivera; Maged Goubran; Alan Kraguljac; Robert Bartha; Terry M. Peters (Image Processing, 2010)

Robust registration of sparsely sectioned histology to ex-vivo MRI of temporal lobe resections. - Maged Goubran; Ali R. Khan; Cathie Crukley; Susan Buchanan; Brendan Santyr; Sandrine de Ribaupierre; Terry M. Peters (Image Processing, 2012)

Image registration of ex-vivo MRI to sparsely sectioned histology of hippocampal and neocortical temporal lobe specimens. - Maged Goubran; Cathie Crukley; Sandrine de Ribaupierre; Terence M. Peters; Ali R. Khan (NeuroImage, 2013)

Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging. - Diego Cantor-Rivera; Ali R. Khan; Maged Goubran; Seyed M. Mirsattari; Terry M. Peters (Comput. Medical Imaging Graph., 2015)

Individual feature maps: a patient-specific analysis tool with applications in temporal lobe epilepsy. - Diego Cantor-Rivera; John S. H. Baxter; Sandrine de Ribaupierre; Jonathan C. Lau; Seyed M. Mirsattari; Maged Goubran; Jorge G. Burneo; David A. Steven; Terry M. Peters; Ali R. Khan (Int. J. Comput. Assist. Radiol. Surg., 2016)

The separate effects of lipids and proteins on brain MRI contrast revealed through tissue clearing. - Christoph Leuze; Markus Aswendt; Emily Ferenczi; Corey W. Liu; Brian Hsueh; Maged Goubran; Qiyuan Tian; Gary Steinberg; Michael M. Zeineh; Karl Deisseroth; Jennifer A. McNab (NeuroImage, 2017)

Non-Binary Approaches for Classification of Amyloid Brain PET. - Katherine Zukotvnski; Vincent C. Gaudet; Phillip Kuo; Sabrina Adamo; Maged Goubran; Christian Bocti; Michael Borrie; Howard Chertkow; Richard Frayne; Robin Hsiung; Robert Laforce Jr.; Michael D. Noseworthy; et al. (ISMVL, 2019)

Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach. - Fumin Guo; Matthew Ng; Maged Goubran; Steffen E. Petersen; Stefan K. Piechnik; Stefan Neubauer; Graham A. Wright (Medical Image Anal., 2020)

Longitudinal alteration of cortical thickness and volume in high-impact sports. - Brian D. Mills; Maged Goubran; Sherveen N. Parivash; Emily L. Dennis; Paymon Rezaii; Carolyn Akers; Wei Bian; Lex A. Mitchell; Brian Boldt; David Douglas; Sohrab Sami; Nicole Mouchawar; et al. (NeuroImage, 2020)

Comparison of diffusion MRI and CLARITY fiber orientation estimates in both gray and white matter regions of human and primate brain. - Christoph Leuze; Maged Goubran; Muhamed Barakovic; Markus Aswendt; Qiyuan Tian; Brian Hsueh; A. Crow; E. M. M. Weber; Gary Steinberg; Michael Zeineh; E. D. Plowey; Alessandro Daducci; et al. (NeuroImage, 2021)

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)

Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy. - Tony Xu; Matthew Rozak; Emmanuel E. Ntiri; Adrienne Dorr; James R. Mester; Bojana Stefanovic; Anne L. Martel; Maged Goubran (MILLanD@MICCAI, 2023)

Changes in the Cerebello-Thalamo-Cortical Network After Magnetic Resonance-Guided Focused Ultrasound Thalamotomy. - Christian Thaler; Qiyuan Tian; Max Wintermark; Pejman Ghanouni; Casey H. Halpern; Jaimie M. Henderson; Raag D. Airan; Michael Zeineh; Maged Goubran; Christoph Leuze; Jens Fiehler; Kim Butts-Pauly; et al. (Brain Connect., 2023)

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)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography. - Andrew H. Zhang; Alex He-Mo; Richard Fei Yin; Chunlin Li; Yuzhi Tang; Dharmendra Gurve; Nasim Montazeri Ghahjaverestan; Maged Goubran; Bo Wang; Andrew S. P. Lim (CoRR, 2024)

Network response of brain microvasculature to neuronal stimulation. - James R. Mester; Matthew Rozak; Adrienne Dorr; Maged Goubran; John G. Sled; Bojana Stefanovic (NeuroImage, 2024)

SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation. - Ying Chen; Rami Al-Maskari; Izabela Horvath; Mayar Ali; Luciano Höher; Kaiyuan Yang 003; Zengming Lin; Zhiwei Zhai; Mengzhe Shen; Dejin Xun; Yi Wang; Tony Xu; et al. (CoRR, 2025)

A generalizable 3D framework and model for self-supervised learning in medical imaging. - Tony Xu; Sepehr Hosseini; Chris Anderson; Anthony Rinaldi; Rahul G. Krishnan; Anne L. Martel; Maged Goubran (CoRR, 2025)

ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology. - Vishwesh Ramanathan; Tony Xu; Pushpak Pati; Faruk Ahmed; Maged Goubran; Anne L. Martel (CoRR, 2025)