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Tae Joon Jun
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2020 – today
- 2024
- [j10]Hansle Gwon, Imjin Ahn, Yunha Kim, Hee-Jun Kang, Hyeram Seo, Heejung Choi, Ha Na Cho, Minkyoung Kim, JiYe Han, Gaeun Kee, Seohyun Park, Kye Hwa Lee
, Tae Joon Jun
LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis. Comput. Biol. Medicine 168: 107738 (2024) - [j9]Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee-Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, JiYe Han, Gaeun Kee, Seohyun Park, Tae Joon Jun, Young-Hak Kim:
Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation. BMC Medical Informatics Decis. Mak. 24(1): 350 (2024) - [i17]Imjin Ahn, Hansle Gwon, Young-Hak Kim, Tae Joon Jun, Sanghyun Park:
NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization. CoRR abs/2402.11882 (2024) - [i16]Hansle Gwon, Imjin Ahn, Hyoje Jung, Byeolhee Kim, Young-Hak Kim, Tae Joon Jun:
InMD-X: Large Language Models for Internal Medicine Doctors. CoRR abs/2402.11883 (2024) - [i15]Hyoje Jung, Yunha Kim, Heejung Choi, Hyeram Seo, Minkyoung Kim, JiYe Han, Gaeun Kee, Seohyun Park, Soyoung Ko, Byeolhee Kim, Suyeon Kim, Tae Joon Jun, Young-Hak Kim:
Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients. CoRR abs/2404.05144 (2024) - 2022
- [j8]Yunha Kim, Imjin Ahn
RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resources. Comput. Methods Programs Biomed. 221: 106866 (2022) - 2021
- [j7]Jungsun Yoo
xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias. Comput. Methods Programs Biomed. 208: 106281 (2021) - [j6]Tae Joon Jun, Youngsub Eom
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes. Expert Syst. Appl. 182: 115211 (2021) - [j5]Imjin Ahn, Wonjun Na, OSung Kwon, Dong Hyun Yang, Gyung-Min Park, Hansle Gwon, Hee-Jun Kang, Yeon Uk Jeong, Jungsun Yoo, Yunha Kim, Tae Joon Jun
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases. BMC Medical Informatics Decis. Mak. 21(1): 29 (2021) - 2020
- [j4]Hoang Minh Nguyen
Chaotic Time Series Prediction Using a Novel Echo State Network Model with Input Reconstruction, Bayesian Ridge Regression and Independent Component Analysis. Int. J. Pattern Recognit. Artif. Intell. 34(6): 2051008:1-2051008:19 (2020) - [j3]Tae Joon Jun
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography. Neural Networks 128: 216-233 (2020) - [c16]Giang Nguyen, Shuan Chen, Tae Joon Jun, Daeyoung Kim:
Explaining How Deep Neural Networks Forget by Deep Visualization. ICPR Workshops (3) 2020: 162-173 - [c15]Thao Do, Yalew Tolcha, Tae Joon Jun, Daeyoung Kim:
Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding. ICPR 2020: 3019-3026 - [c14]Seung Ju Cho, Tae Joon Jun, Byungsoo Oh
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation. IJCNN 2020: 1-8 - [i14]Giang Nguyen, Shuan Chen, Thao Do, Tae Joon Jun, Ho-Jin Choi, Daeyoung Kim:
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization. CoRR abs/2001.01578 (2020) - [i13]Hyungrok Ham, Tae Joon Jun, Daeyoung Kim:
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder. CoRR abs/2002.02112 (2020) - [i12]Seung Ju Cho, Tae Joon Jun, Mingu Kang, Daeyoung Kim:
Applying Tensor Decomposition to image for Robustness against Adversarial Attack. CoRR abs/2002.12913 (2020) - [i11]Thao Do, Yalew Tolcha, Tae Joon Jun, Daeyoung Kim:
Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding. CoRR abs/2004.06297 (2020) - [i10]Giang Nguyen, Shuan Chen, Tae Joon Jun, Daeyoung Kim:
Explaining How Deep Neural Networks Forget by Deep Visualization. CoRR abs/2005.01004 (2020)
2010 – 2019
- 2019
- [j2]Tae Joon Jun
Automated detection of vulnerable plaque in intravascular ultrasound images. Medical Biol. Eng. Comput. 57(4): 863-876 (2019) - [j1]Hoang Minh Nguyen
ESNemble: an Echo State Network-based ensemble for workload prediction and resource allocation of Web applications in the cloud. J. Supercomput. 75(10): 6303-6323 (2019) - [c13]Dohyeun Kim, Tae Joon Jun, Youngsub Eom
Tournament Based Ranking CNN for the Cataract grading. EMBC 2019: 1630-1636 - [c12]Hyunseob Kim, Tae Joon Jun, Giang Nguyen, Daeyoung Kim:
Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data. ICONIP (1) 2019: 442-453 - [c11]Byungsoo Oh
Enhancing Trust of Supply Chain Using Blockchain Platform with Robust Data Model and Verification Mechanisms. SMC 2019: 3504-3511 - [i9]Tae Joon Jun, Jihoon Kweon, Young-Hak Kim, Daeyoung Kim:
T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography. CoRR abs/1905.04197 (2019) - [i8]Tae Joon Jun, Youngsub Eom, Dohyeun Kim, Cherry Kim, Ji-Hye Park, Hoang Minh Nguyen, Daeyoung Kim:
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes. CoRR abs/1905.06509 (2019) - [i7]Seung Ju Cho, Tae Joon Jun, Byungsoo Oh, Daeyoung Kim:
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation. CoRR abs/1908.05195 (2019) - [i6]Giang Nguyen, Tae Joon Jun, Trung Tran, Daeyoung Kim:
ContCap: A comprehensive framework for continual image captioning. CoRR abs/1909.08745 (2019) - 2018
- [c10]Tae Joon Jun, Dohyeun Kim, Hoang Minh Nguyen, Daeyoung Kim, Youngsub Eom:
2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input. BMVC 2018: 134 - [c9]Hoang Minh Nguyen, Gaurav Kalra
A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis. ICANN (2) 2018: 24-34 - [c8]Tae Joon Jun, Daeyoun Kang, Dohyeun Kim, Daeyoung Kim:
GPU Enabled Serverless Computing Framework. PDP 2018: 533-540 - [i5]Tae Joon Jun, Hoang Minh Nguyen, Daeyoun Kang, Dohyeun Kim, Daeyoung Kim, Young-Hak Kim:
ECG arrhythmia classification using a 2-D convolutional neural network. CoRR abs/1804.06812 (2018) - [i4]Tae Joon Jun, Soo-Jin Kang, June-Goo Lee, Jihoon Kweon, Wonjun Na, Daeyoun Kang, Dohyeun Kim, Daeyoung Kim, Young-Hak Kim:
Automated detection of vulnerable plaque in intravascular ultrasound images. CoRR abs/1804.06817 (2018) - [i3]Tae Joon Jun, Dohyeun Kim, Daeyoung Kim:
Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images. CoRR abs/1804.06821 (2018) - [i2]Tae Joon Jun, Dohyeun Kim, Hoang Minh Nguyen, Daeyoung Kim, Youngsub Eom:
2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input. CoRR abs/1805.05727 (2018) - [i1]Dohyeun Kim, Tae Joon Jun, Daeyoung Kim, Youngsub Eom:
Tournament Based Ranking CNN for the Cataract grading. CoRR abs/1807.02657 (2018) - 2017
- [c7]Daeyoun Kang, Tae Joon Jun, Dohyeun Kim, Jaewook Kim, Daeyoung Kim:
ConVGPU: GPU Management Middleware in Container Based Virtualized Environment. CLUSTER 2017: 301-309 - [c6]Tae Joon Jun, Soo-Jin Kang, June-Goo Lee, Jihoon Kweon
Thin-Cap Fibroatheroma Detection with Deep Neural Networks. ICONIP (4) 2017: 759-768 - [c5]Tae Joon Jun, Myong Hwan Yoo, Daeyoung Kim, Kyu Tae Cho, Seung Young Lee, Kyuoke Yeun:
HPC Supported Mission-Critical Cloud Architecture. ICPE 2017: 223-232 - 2016
- [c4]Kyuoke Yeun, Tae Joon Jun, Daeyoung Kim:
Distributed self-organized cluster-based fusion tree generation algorithm. CoDIT 2016: 198-203 - [c3]Tae Joon Jun, Hyun Ji Park, Hyuk Yoo, Young-Hak Kim, Daeyoung Kim:
GPU based cloud system for high-performance arrhythmia detection with parallel k-NN algorithm. EMBC 2016: 5327-5330 - [c2]Hoang Minh Nguyen, Sungpil Woo, Janggwan Im, Tae Joon Jun, Daeyoung Kim:
A Workload Prediction Approach Using Models Stacking Based on Recurrent Neural Network and Autoencoder. HPCC/SmartCity/DSS 2016: 929-936 - [c1]Tae Joon Jun, Hyun Ji Park, Hoang Minh Nguyen, Daeyoung Kim, Young-Hak Kim:
Premature Ventricular Contraction Beat Detection with Deep Neural Networks. ICMLA 2016: 859-864
Coauthor Index
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