A novel iris center localization method based on the spherical eyeball rotation model for human-device interaction. - Kang-A. Choi; Seung-Jin Baek; Chunfei Ma; Seung Park; Sung-Jea Ko (ICCE, 2013)

Improved pupil center localization method for eye-gaze tracking-based human-device interaction. - Kang-A. Choi; Seung-Jin Baek; Chunfei Ma; Seung Park; Sung-Jea Ko (ICCE, 2014)

Camera-based color calibration method for multiple flat-panel display system. - June-Young Jung; Seung Park; Cheol-Hwan Yoo; Yong-Goo Shin; Sung-Jea Ko (ICCE, 2015)

The Experience of Students Building an Effective Clinical Data Warehouse for a Free, Student-Run Clinic. - Matthew C. Hess; Steve Layfield; Timothy I. Kennell; Seung Park (AMIA, 2017)

Great expectations: patient response to portal invitations to contribute to their electronic medical records. - Emily C. Webber; Courtney Hines; Leiza Schmoll; Danyelle Binko; Jason Schaffer; Seung Park (AMIA, 2019)

PEPSI : Fast Image Inpainting With Parallel Decoding Network. - Min-Cheol Sagong; Yong-Goo Shin; Seung-Wook Kim 002; Seung Park; Sung-Jea Ko (CVPR, 2019)

Contrast Enhancement Using Sensitivity Model-Based Sigmoid Function. - Seung Park; Yong-Goo Shin; Sung-Jea Ko (IEEE Access, 2019)

Unsupervised Deep Power Saving and Contrast Enhancement for OLED Displays. - Yong-Goo Shin; Seung Park; Min-Jae Yoo; Sung-Jea Ko (CoRR, 2019)

cGANs with Conditional Convolution Layer. - Min-Cheol Sagong; Yong-Goo Shin; Yoon-Jae Yeo; Seung Park; Sung-Jea Ko (CoRR, 2019)

Image Fusion-Based Tone Mapping Using Gaussian Mixture Model Clustering. - Wang-Un Lee; Seung Park; Sung-Jea Ko (ICCE, 2020)

Self-Attentive Normalization for Automated Gleason Grading System. - Hong-Kyu Shin; Sung-Hoo Hong; Yeong-Jin Choi; Yong-Goo Shin; Seung Park; Sung-Jea Ko (TENCON, 2020)

Detail Restoration and Tone Mapping Networks for X-Ray Security Inspection. - Hyo-Young Kim; Seung Park; Yong-Goo Shin; Seung-Won Jung; Sung-Jea Ko (IEEE Access, 2020)

Unsupervised Deep Contrast Enhancement With Power Constraint for OLED Displays. - Yong-Goo Shin; Seung Park; Yoon-Jae Yeo; Min-Jae Yoo; Sung-Jea Ko (IEEE Trans. Image Process., 2020)

CT-Guided 3D Super-Resolution Method for Left Atrial Model. - Jae-Ik Yoo; Hong-Kyu Shin; Seung Park; Dae-In Lee; Sung-Jea Ko (ICCE, 2021)

Generative Adversarial Network using Perturbed-Convolutions. - Seung Park; Yoon-Jae Yeo; Yong-Goo Shin (CoRR, 2021)

Improved Generative Convolution Method for Image Generation. - Seung Park; Min-Uk Yang; Geun-Hyeong Kim; Jueng-Eun Im; Ki-Hun Kim; Yong-Goo Shin (ICTC, 2022)

Generative residual block for image generation. - Seung Park; Yong-Goo Shin (Appl. Intell., 2022)

Automated diagnosis of atrial fibrillation using ECG component-aware transformer. - Min-Uk Yang; Dae-In Lee; Seung Park (Comput. Biol. Medicine, 2022)

Effective Shortcut Technique for GAN. - Seung Park; Cheol-Hwan Yoo; Yong-Goo Shin (CoRR, 2022)

IF-GAN: A Novel Generator Architecture with Information Feedback. - Seung Park; Yong-Goo Shin (CoRR, 2022)

PConv: simple yet effective convolutional layer for generative adversarial network. - Seung Park; Yoon-Jae Yeo; Yong-Goo Shin (Neural Comput. Appl., 2022)

Generative convolution layer for image generation. - Seung Park; Yong-Goo Shin (Neural Networks, 2022)

Simple Yet Effective Way for Improving the Performance of GAN. - Yoon-Jae Yeo; Yong-Goo Shin; Seung Park; Sung-Jea Ko (IEEE Trans. Neural Networks Learn. Syst., 2022)

Artificial Intelligence for Predicting Mortality Due to Sepsis. - Jee-Woo Choi; Jae-Woo Kim; Jahyun Nam; Jae-Young Maeng; Ka-Hyun Kim; Seung Park (ICCE, 2023)

A BERT-Based Artificial Intelligence to Analyze Free-Text Clinical Notes for Binary Classification in Papillary Thyroid Carcinoma Recurrence. - Jahyun Nam; Jee-Woo Choi; Yong-Goo Shin; Seung Park (ICCE, 2023)

DeepASD: Facial Image Analysis for Autism Spectrum Diagnosis via Explainable Artificial Intelligence. - Hyebin Kang; Minuk Yang; Geun-Hyeon Kim; Tae-Soo Lee; Seung Park (ICUFN, 2023)

Predicting heart failure prognosis using deep learning based on FT-transformer. - Geunho Kim; Min-Uk Yang; Geun-Hyeong Kim; Seong-Hwan Eom; Tae-Soo Lee; Seung Park (ICUFN, 2023)

Structured Medical Dataset Analysis Tool Based on ChatGPT. - JinCheol Park; Jahyun Nam; Jee-Woo Choi; Yong-Goo Shin; Seung Park (ICUFN, 2023)

Effective shortcut technique for generative adversarial networks. - Seung Park; Cheol-Hwan Yoo; Yong-Goo Shin (Appl. Intell., 2023)

Multimodal Neural Network for Recurrence Prediction of Papillary Thyroid Carcinoma. - Geun-Hyeong Kim; Dong-Hwa Lee; Jee-Woo Choi; Hyun Jeong Jeon; Seung Park (Adv. Intell. Syst., 2023)

Image generation with self pixel-wise normalization. - Yoon-Jae Yeo; Min-Cheol Sagong; Seung Park; Sung-Jea Ko; Yong-Goo Shin (Appl. Intell., 2023)

Real-Time Prediction for Neonatal Endotracheal Intubation Using Multimodal Transformer Network. - Jueng-Eun Im; Shin-Ae Yoon; Yoon Mi Shin; Seung Park (IEEE J. Biomed. Health Informatics, 2023)

FT-GAT: Graph neural network for predicting spontaneous breathing trial success in patients with mechanical ventilation. - Geun-Hyeong Kim; Jae-Woo Kim; Ka-Hyun Kim; Hyeran Kang; Jae Young Moon; Yoon Mi Shin; Seung Park (Comput. Methods Programs Biomed., 2023)

Prognostic prediction of sepsis patient using transformer with skip connected token for tabular data. - Jee-Woo Choi; Minuk Yang; Jae-Woo Kim; Yoon Mi Shin; Yong-Goo Shin; Seung Park (Artif. Intell. Medicine, 2024)

Development of AI-generated medical responses using the ChatGPT for cancer patients. - Jae-woo Lee; In-Sang Yoo; Ji-Hye Kim; Won Tae Kim; Hyun Jeong Jeon; Hyo-Sun Yoo; Jae Gwang Shin; Geun-Hyeong Kim; Shinji Hwang; Seung Park; Yong-June Kim (Comput. Methods Programs Biomed., 2024)

Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain. - Hwa-Ah-Ni Lee; Geun-Hyeong Kim; Seung Park; In Ah Choi; Hyun Woo Kwon; Hansol Moon; Jae Hyun Jung; Chulhan Kim (Artif. Intell. Medicine, 2025)

GRB-Sty: Redesign of Generative Residual Block for StyleGAN. - Seung Park; Yong-Goo Shin (ICT Express, 2025)

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation. - Eun-Sol Park; MiSo Park; Seung Park; Yong-Goo Shin (CoRR, 2025)

A Novel Generator With Auxiliary Branch for Improving GAN Performance. - Seung Park; Yong-Goo Shin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Rethinking Image Skip Connections in StyleGAN2. - Seung Park; Yong-Goo Shin (IEEE Trans. Neural Networks Learn. Syst., 2025)