Posters and Abstracts

J. Gwak, C-M. Park, J. Choi, H. Kim, E-J. Hwang, J-M. Goo, “Towards Hierachical Optimization of Pretrained Deep Learning Models for Tuberculosis Screening in Chest Radiograph,” RSNA 2018, November 25–30, Chicago, United States.
J. Gwak, J. Choi, H. Kim, E-J. Hwang, J-M. Goo, C-M. Park, “Towards Robust X-ray-based Tuberculosis Screening using An Optimized Pretrained Deep Learning Model,” Korean Congress of Radiology (KCR 2018), September 12–15, Seoul, Korea.
J. Gwak, H. Kim, E-J. Hwang, C-M. Park, J-M. Goo, “False Positive Reduction Scheme for Effective Lung Nodule Detection using Dual Deep Neural Networks,” Korean Congress of Radiology (KCR 2018), September 12–15, Seoul, Korea.
J. Gwak, H. Kim, Eui Jin Hwang, M. Lee, J-M. Goo, C-M. Park, “Cascaded Deep Denoising Model for Low-dose CT Image Quality Enhancement,” Korean Congress of Radiology (KCR 2018), September 12–15, Seoul, Korea.
J. Gwak, J-I. Song, K. Kim, M. Jeon, C. Park, H. Jeong, K-Y. Choi, J-E. Park, J-S. Lee, B-C. Kim, and K-H. Lee, “Towards Perceptual Deep Learning-Based Abnormal Behavior Pattern Analysis for Patients with Alzheimer’s Disease,” in Proceedings of the Alzheimer's Association International Conference (AAIC), July 22–26, 2018, Chicago, United States.
J. Gwak, C. Park, H. Jeong, S. Jang, M. Kim, J. G. Kim, S. C. Jun, K. Y. Choi, B. C. Kim, K. H. Lee, J.-I. Song, “Brain function and behavior ability-based correlation study for stage discrimination and monitoring of Alzheimer’s disease,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.
J. Gwak, J.-I. Song, “Diagnosis of Alzheimer’s disease using 3D cascaded deep learning with perceptual loss,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.
S. Jang, E. Kim, J. Gwak, K. Y. Choi, B. C. Kim, J.-I. Song, K. H. Lee, S. C. Jun, “Neurophysiological features in Alzheimer’s disease progression - an EEG study,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.
M. Kim, T. Nguyen, J. Gwak, J. J. Lee, K. Y. Choi, K. H. Lee, J. G. Kim, “Investigation of the resting state functional connectivity in preclinical Alzheimer’s disease stages: a fNIRS study,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.
K.-Y. Sim, S.-H. Park, K. Y. Choi, J. E. Park, J. S. Lee, B. C. Kim, J. Gwak, W. K. Song, K. H. Lee, S.-G. Park, ‘High-throughput epitope profiling of antibodies in the plasma of Alzheimer’s disease dementia patients using random peptide microarrays,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.
J. Gwak, M. Jeon, K. Kim, J-I. Song, “Stage classification and progress monitoring of Alzheimer’s disease: cognition and behavior analysis using a deep learning approach”, In KSBNS 2017, August 30–31, Seoul, Korea. (Poster Presentation by J. Gwak)
M. Kim, T. Nguyen, J. Kim, J-S. Lee, K. H. Lee, K. Y. Choi, J. E. Park, B. C. Kim, J. Gwak, and J. G. Kim, "The delayed blood supply in mild cognitive impairment patients during a verbal fluency task: an fNIRS study", Annual Biophotonics Conference 2017
J. Gwak, S-W. Lee, J-I. Song, “Adaptive Multi-Kernel Boosting Approach for Classification of Alzheimer’s Disease,” Intelligent Brain 2016, September 28–29, 2016, KINTEX, Korea (Poster Presentation by J. Gwak)
J. Gwak, S-W. Lee, M. Jeon, J-I. Song, “Optimal Automatic Feature Selection through Iterative Reweighting for Class-Imbalanced Data Sets to Classify Alzheimer's Disease/MCI/NC with High Diagnostic Accuracy,” in Proceedings of the Alzheimer's Association International Conference (AAIC), July 22–28, 2016, Toronto, Canada.
J. Gwak, M. Jeon, J-I. Song, “Cognition and Behavior Analysis for Stage Classification and Progress Monitoring of Alzheimer’s Disease,” Intelligent Brain 2016, September 28–29, 2016, KINTEX, Korea. (Poster Presentation by J. Gwak)