Tae Joon Jun

Orcid: 0000-0002-6808-5149

According to our database1, Tae Joon Jun authored at least 37 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis.
Comput. Biol. Medicine, January, 2024

Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients.
CoRR, 2024

InMD-X: Large Language Models for Internal Medicine Doctors.
CoRR, 2024

NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization.
CoRR, 2024

2022
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., 2022

2021
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases.
BMC Medical Informatics Decis. Mak., 2021

TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes.
Expert Syst. Appl., 2021

xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias.
Comput. Methods Programs Biomed., 2021

2020
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography.
Neural Networks, 2020

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., 2020

Applying Tensor Decomposition to image for Robustness against Adversarial Attack.
CoRR, 2020

Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder.
CoRR, 2020

Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization.
CoRR, 2020

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Explaining How Deep Neural Networks Forget by Deep Visualization.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
ESNemble: an Echo State Network-based ensemble for workload prediction and resource allocation of Web applications in the cloud.
J. Supercomput., 2019

Automated detection of vulnerable plaque in intravascular ultrasound images.
Medical Biol. Eng. Comput., 2019

ContCap: A comprehensive framework for continual image captioning.
CoRR, 2019

TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes.
CoRR, 2019

T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography.
CoRR, 2019

Enhancing Trust of Supply Chain Using Blockchain Platform with Robust Data Model and Verification Mechanisms.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Tournament Based Ranking CNN for the Cataract grading.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Tournament Based Ranking CNN for the Cataract grading.
CoRR, 2018

Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images.
CoRR, 2018

ECG arrhythmia classification using a 2-D convolutional neural network.
CoRR, 2018

GPU Enabled Serverless Computing Framework.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
HPC Supported Mission-Critical Cloud Architecture.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Thin-Cap Fibroatheroma Detection with Deep Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

ConVGPU: GPU Management Middleware in Container Based Virtualized Environment.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Premature Ventricular Contraction Beat Detection with Deep Neural Networks.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

A Workload Prediction Approach Using Models Stacking Based on Recurrent Neural Network and Autoencoder.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

GPU based cloud system for high-performance arrhythmia detection with parallel k-NN algorithm.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Distributed self-organized cluster-based fusion tree generation algorithm.
Proceedings of the International Conference on Control, 2016


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