Tae Joon Jun

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Medical Records

Top Venues

Comput. Methods Programs Biomed.

Publications

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 (2024)
Hansle Gwon, Imjin Ahn, Hyoje Jung, Byeolhee Kim, Young-Hak Kim, Tae Joon Jun
InMD-X: Large Language Models for Internal Medicine Doctors. CoRR (2024)
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, Young-Hak Kim
LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis. Comput. Biol. Medicine 168 (2024)
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 (2024)
Yunha Kim, Imjin Ahn, Ha Na Cho, Hansle Gwon, Hee-Jun Kang, Hyeram Seo, Heejung Choi, Kyu-Pyo Kim, Tae Joon Jun, Young-Hak Kim
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 (2022)
Jungsun Yoo, Tae Joon Jun, Young-Hak Kim
xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias. Comput. Methods Programs Biomed. 208 (2021)
Tae Joon Jun, Youngsub Eom, Dohyeun Kim, Cherry Kim, Ji-Hye Park, Hoang Minh Nguyen, Young-Hak Kim, Daeyoung Kim
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes. Expert Syst. Appl. 182 (2021)
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, Young-Hak Kim
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Hyungrok Ham, Tae Joon Jun, Daeyoung Kim
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder. CoRR (2020)
Giang Nguyen, Shuan Chen, Thao Do, Tae Joon Jun, Ho-Jin Choi, Daeyoung Kim
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization. CoRR (2020)
Thao Do, Yalew Tolcha, Tae Joon Jun, Daeyoung Kim
Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding. ICPR (2020)
Giang Nguyen, Shuan Chen, Tae Joon Jun, Daeyoung Kim
Explaining How Deep Neural Networks Forget by Deep Visualization. ICPR Workshops (3) (2020)
Seung Ju Cho, Tae Joon Jun, Mingu Kang, Daeyoung Kim
Applying Tensor Decomposition to image for Robustness against Adversarial Attack. CoRR (2020)
Tae Joon Jun, Jihoon Kweon, Young-Hak Kim, Daeyoung Kim
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography. Neural Networks 128 (2020)
Giang Nguyen, Shuan Chen, Tae Joon Jun, Daeyoung Kim
Explaining How Deep Neural Networks Forget by Deep Visualization. CoRR (2020)
Thao Do, Yalew Tolcha, Tae Joon Jun, Daeyoung Kim
Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding. CoRR (2020)
Seung Ju Cho, Tae Joon Jun, Byungsoo Oh, Daeyoung Kim
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation. IJCNN (2020)
Hoang Minh Nguyen, Gaurav Kalra, Tae Joon Jun, Daeyoung Kim
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) (2020)
Byungsoo Oh, Tae Joon Jun, WonDeuk Yoon, Yunho Lee, Sangtae Kim, Daeyoung Kim
Enhancing Trust of Supply Chain Using Blockchain Platform with Robust Data Model and Verification Mechanisms. SMC (2019)
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. Medical Biol. Eng. Comput. 57 (4) (2019)
Hoang Minh Nguyen, Gaurav Kalra, Tae Joon Jun, Sungpil Woo, Daeyoung Kim
ESNemble: an Echo State Network-based ensemble for workload prediction and resource allocation of Web applications in the cloud. J. Supercomput. 75 (10) (2019)
Giang Nguyen, Tae Joon Jun, Trung Tran, Daeyoung Kim
ContCap: A comprehensive framework for continual image captioning. CoRR (2019)
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)
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 (2019)
Seung Ju Cho, Tae Joon Jun, Byungsoo Oh, Daeyoung Kim
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation. CoRR (2019)
Dohyeun Kim, Tae Joon Jun, Youngsub Eom, Cherry Kim, Daeyoung Kim
Tournament Based Ranking CNN for the Cataract grading. EMBC (2019)
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 (2019)
Dohyeun Kim, Tae Joon Jun, Daeyoung Kim, Youngsub Eom
Tournament Based Ranking CNN for the Cataract grading. CoRR (2018)
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 (2018)
Tae Joon Jun, Daeyoun Kang, Dohyeun Kim, Daeyoung Kim
GPU Enabled Serverless Computing Framework. PDP (2018)
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)
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 (2018)
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 (2018)
Hoang Minh Nguyen, Gaurav Kalra, Tae Joon Jun, Daeyoung Kim
A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis. ICANN (2) (2018)
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 (2018)
Tae Joon Jun, Soo-Jin Kang, June-Goo Lee, Jihoon Kweon, Wonjun Na, Daeyoun Kang, Dohyeun Kim, Daeyoung Kim, Young-Hak Kim
Thin-Cap Fibroatheroma Detection with Deep Neural Networks. ICONIP (4) (2017)
Tae Joon Jun, Myong Hwan Yoo, Daeyoung Kim, Kyu Tae Cho, Seung Young Lee, Kyuoke Yeun
HPC Supported Mission-Critical Cloud Architecture. ICPE (2017)
Daeyoun Kang, Tae Joon Jun, Dohyeun Kim, Jaewook Kim, Daeyoung Kim
ConVGPU: GPU Management Middleware in Container Based Virtualized Environment. CLUSTER (2017)
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)
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)
Kyuoke Yeun, Tae Joon Jun, Daeyoung Kim
Distributed self-organized cluster-based fusion tree generation algorithm. CoDIT (2016)
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)