Effective Connectivity Within the Default Mode Network in Left Temporal Lobe Epilepsy: Findings from the Epilepsy Connectome Project. - Cole J. Cook; Gyujoon Hwang; Jedidiah Mathis; Veena A. Nair; Lisa L. Conant; Linda Allen; Dace N. Almane; Rasmus M. Birn; Edgar A. DeYoe; Elizabeth Felton; Courtney Forseth; Colin J. Humphries; et al. (Brain Connect., 2019)

Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning. - Gyujoon Hwang; Veena A. Nair; Jed Mathis; Cole J. Cook; Rosaleena Mohanty; Gengyan Zhao; Neelima Tellapragada; Candida Ustine; Onyekachi O. Nwoke; Charlene Rivera-Bonet; Megan Rozman; Linda Allen; et al. (Brain Connect., 2019)

Multi-Channel Deep Neural Network For Temporal Lobe Epilepsy Classification Using Multimodal Mri Data. - Maribel Torres-Velázquez; Gyujoon Hwang; Cole John Cook; Bruce P. Hermann; Vivek Prabhakaran; Mary Elizabeth Meyerand; Alan B. McMillan (ISBI Workshops, 2020)

Deep Learning and Bayesian Deep Learning Based Gender Prediction in Multi-Scale Brain Functional Connectivity. - Gengyan Zhao; Gyujoon Hwang; Cole J. Cook; Fang Liu 005; Mary E. Meyerand; Rasmus M. Birn (CoRR, 2020)

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Gyujoon Hwang; Ahmed Abdulkadir; Güray Erus; Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Tanweer Rashid; Murat Bilgel; Yong Fan 001; Aristeidis Sotiras; et al. (CoRR, 2021)

Subtyping brain diseases from imaging data. - Junhao Wen 002; Erdem Varol; Zhijian Yang; Gyujoon Hwang; Dominique Dwyer; Anahita Fathi Kazerooni; Paris Alexandros Lalousis; Christos Davatzikos (CoRR, 2022)

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. - Junhao Wen 002; Erdem Varol; Aristeidis Sotiras; Zhijian Yang; Ganesh B. Chand; Güray Erus; Haochang Shou; Ahmed Abdulkadir; Gyujoon Hwang; Dominic B. Dwyer; Alessandro Pigoni; Paola Dazzan; et al. (Medical Image Anal., 2022)

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning. - Junhao Wen 002; Mathilde Antoniades; Zhijian Yang; Gyujoon Hwang; Ioanna Skampardoni; Rongguang Wang; Christos Davatzikos (CoRR, 2024)