Adoption of Internet Technologies in Small Businesses. - Jungwoo Lee 002; Janet Runge; Seungik Baek; Sarah P. W. Shek (PACIS, 2001)

Understanding of Organizational Intention to Distributed Work Adoption. - Seungik Baek; Sarah P. W. Shek; Choon-Ling Sia (PACIS, 2004)

Image segmentation of mesenchymal stem cells in diverse culturing conditions. - Muhammad Jamal Afridi; Chun Liu 002; Christina Chan; Seungik Baek; Xiaoming Liu 002 (WACV, 2014)

Prediction of Abdominal Aortic Aneurysm Growth Using Dynamical Gaussian Process Implicit Surface. - Huan N. Do; Ahsan Ijaz; Hamidreza Gharahi; Byron Zambrano; Jongeun Choi; Whal Lee; Seungik Baek (IEEE Trans. Biomed. Eng., 2019)

Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration. - Liangliang Zhang; Zhenxiang Jiang; Jongeun Choi; Chae Young Lim; Tapabrata Maiti; Seungik Baek (IEEE J. Biomed. Health Informatics, 2019)

Predicting abdominal aortic aneurysm growth using patient-oriented growth models with two-step Bayesian inference. - Emrah Akkoyun; Sebastian T. Kwon; Aybar C. Acar; Whal Lee; Seungik Baek (Comput. Biol. Medicine, 2020)

Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications. - Zhenxiang Jiang; Jongeun Choi; Seungik Baek (Comput. Biol. Medicine, 2021)

Defining a master curve of abdominal aortic aneurysm growth and its potential utility of clinical management. - Emrah Akkoyun; Hamidreza Gharahi; Sebastian T. Kwon; Byron Zambrano; Akshay Rao; Aybar C. Acar; Whal Lee; Seungik Baek (Comput. Methods Programs Biomed., 2021)

CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation. - Christopher J. Arthurs; Rostislav Khlebnikov; Alex Melville; Marija Marcan; Alberto Gómez 002; Desmond Dillon-Murphy; Federica Cuomo; Miguel Silva Vieira; Jonas Schollenberger; Sabrina R. Lynch; Christopher Tossas-Betancourt; Kritika Iyer; et al. (PLoS Comput. Biol., 2021)

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction. - Sekeun Kim; Zhenxiang Jiang; Byron A. Zambrano; Yeonggul Jang; Seungik Baek; Sun K. Yoo; Hyuk-Jae Chang (IEEE Trans. Medical Imaging, 2023)

Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach. - Ehsan Naghavi; Haifeng Wang; Lei Fan; Jenny S. Choy; Ghassan S. Kassab; Seungik Baek; Lik Chuan Lee (Artif. Intell. Medicine, 2024)

Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model. - Merjulah Roby; Juan C. Restrepo; Haehwan Park; Satish C. Muluk; Mark K. Eskandari; Seungik Baek; Ender A. Finol (IEEE Access, 2025)

Rapid cardiac activation prediction for cardiac resynchronization therapy planning using geometric deep learning. - Ehsan Naghavi; Haifeng Wang; Vahid Ziaei-Rad; Julius M. Guccione; Ghassan S. Kassab; Vishnu Boddeti; Seungik Baek; Lik Chuan Lee (CoRR, 2025)