Dongjin Kwon

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 10

Top Topics

Logistic Regression

Magnetic Resonance Images

Machine Learning Algorithms

Brain Tumor Segmentation

Top Venues

Medical Image Anal.

Publications

Wei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, Yuan Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek
Scaling Up LLM Reviews for Google Ads Content Moderation. CoRR (2024)
Wei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, Yuan Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek
Scaling Up LLM Reviews for Google Ads Content Moderation. WSDM (2024)
Brittany Garcia-Pi, Rohan Chaudhury, Miles Versaw, Jonathan Back, Dongjin Kwon, Caleb Kicklighter, Paul Taele, Jinsil Hwaryoung Seo
AllyChat: Developing a VR Conversational AI Agent Using Few-Shot Learning to Support Individuals with Intellectual Disabilities. INTERACT (4) (2023)
Ehsan Adeli, Xiaorui Li, Dongjin Kwon, Yong Zhang, Kilian M. Pohl
Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (7) (2020)
Qingyu Zhao, Dongjin Kwon, Kilian M. Pohl
A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity. MICCAI (3) (2018)
Ehsan Adeli, Dongjin Kwon, Kilian M. Pohl
Multi-label Transduction for Identifying Disease Comorbidity Patterns. MICCAI (3) (2018)
Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR (2018)
Ehsan Adeli, Dongjin Kwon, Qingyu Zhao, Adolf Pfefferbaum, Natalie M. Zahr, Edith V. Sullivan, Kilian M. Pohl
Chained regularization for identifying brain patterns specific to HIV infection. NeuroImage 183 (2018)
Yong Zhang, Dongjin Kwon, Kilian M. Pohl
Computing group cardinality constraint solutions for logistic regression problems. Medical Image Anal. 35 (2017)
Kilian M. Pohl, Edith V. Sullivan, Torsten Rohlfing, Weiwei Chu, Dongjin Kwon, B. Nolan Nichols, Yong Zhang, Sandra A. Brown, Susan F. Tapert, Kevin Cummins, Wesley K. Thompson, Ty Brumback, Ian M. Colrain, Fiona C. Baker, Devin Prouty, Michael D. De Bellis, James T. Voyvodic, Duncan B. Clark, Claudiu V. Schirda, Bonnie J. Nagel, Adolf Pfefferbaum
Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. NeuroImage 130 (2016)
Dongjin Kwon, Ke Zeng, Michel Bilello, Christos Davatzikos
Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Registration. MICCAI (2) (2015)
Dongjin Kwon, Russell T. Shinohara, Hamed Akbari, Christos Davatzikos
Combining Generative Models for Multifocal Glioma Segmentation and Registration. MICCAI (1) (2014)
Dongjin Kwon, Marc Niethammer, Hamed Akbari, Michel Bilello, Christos Davatzikos, Kilian M. Pohl
PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration. IEEE Trans. Medical Imaging 33 (3) (2014)
Dongjin Kwon, Il Dong Yun, Kilian M. Pohl, Christos Davatzikos, Sang Uk Lee
Nonrigid volume registration using second-order MRF model. ISBI (2012)
Dong Hye Ye, Jihun Hamm, Dongjin Kwon, Christos Davatzikos, Kilian M. Pohl
Regional Manifold Learning for Deformable Registration of Brain MR Images. MICCAI (3) (2012)
Dongjin Kwon, Kyong Joon Lee, Il Dong Yun, Sang Uk Lee
Solving MRFs with Higher-Order Smoothness Priors Using Hierarchical Gradient Nodes. ACCV (1) (2010)
Dongjin Kwon, Il Dong Yun, Sang Uk Lee
Rolled Fingerprint Construction Using MRF-Based Nonrigid Image Registration. IEEE Trans. Image Process. 19 (12) (2010)
Kyong Joon Lee, Dongjin Kwon, Il Dong Yun, Sang Uk Lee
Optical flow estimation with adaptive convolution kernel prior on discrete framework. CVPR (2010)
Dongjin Kwon, Il Dong Yun, Kyoung Ho Lee, Sang Uk Lee
Efficient Feature-Based Nonrigid Registration of Multiphase Liver CT Volumes. BMVC (2008)
Dongjin Kwon, Kyong Joon Lee, Il Dong Yun, Sang Uk Lee
Nonrigid Image Registration Using DynamicHigher-Order MRF Model. ECCV (1) (2008)
Kyong Joon Lee, Dongjin Kwon, Il Dong Yun, Sang Uk Lee
Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes. BMVC (2008)
Dong Hye Ye, Dongjin Kwon, Il Dong Yun, Sang Uk Lee
Fast multiscale vessel enhancement filtering. Medical Imaging: Image Processing (2008)
Dongjin Kwon, Il Dong Yun, Sang Uk Lee
A Robust Warping Method for Fingerprint Matching. CVPR (2007)
Dongjin Kwon, Il Dong Yun, Duck Hoon Kim, Sang Uk Lee
Fingerprint Matching Method Using Minutiae Clustering and Warping. ICPR (4) (2006)
Hackjoon Shim, Dongjin Kwon, Il Dong Yun, Sang Uk Lee
Robust segmentation of cerebral arterial segments by a sequential Monte Carlo method: Particle filtering. Comput. Methods Programs Biomed. 84 (2-3) (2006)