Sejin Park

发表

Stroke Medical Ontology for Supporting AI-based Stroke Prediction System using Bio-Signals

Se Jin Park, C. Pyo, Jaehak Yu, 2021, 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN).

AI-Based Stroke Disease Prediction System Using ECG and PPG Bio-Signals

Jaehak Yu, Hansung Lee, Sejin Park, 2022, IEEE Access.

Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging

Sejin Park, Jun Sung Kim, Weonjin Kim, 2020, Scientific Reports.

Machine-Learning-Based Elderly Stroke Monitoring System Using Electroencephalography Vital Signals

C. Pyo, Jaehak Yu, Hansung Lee, 2021, Applied Sciences.

Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data

Sejin Park, Jihee Soh, Hyunju Lee, 2021, BMC Bioinformatics.

An Elderly Health Monitoring System Using Machine Learning and In-Depth Analysis Techniques on the NIH Stroke Scale

Cheol-Sig Pyo, Sejin Park, Hansung Lee, 2020, Mathematics.

Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net

Joon Beom Seo, Namkug Kim, Kyu-Hwan Jung, 2019, Scientific Reports.

Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net

Sang Min Lee, J. Seo, Namkug Kim, 2019, Scientific Reports.

HIDTI: integration of heterogeneous information to predict drug-target interactions

Hyunju Lee, Sejin Park, Jihee Soh, 2022, Scientific Reports.

AI-based stroke prediction system using body motion biosignals during walking

Jaehak Yu, Sejin Park, Kang-Hee Cho, 2022, The Journal of Supercomputing.

Wild Image Object Detection using a Pretrained Convolutional Neural Network

Young Shik Moon, Sejin Park, Y. Moon, 2014 .

Design and Implementation of Real-time Bio Signals Management System based on HL7 FHIR for Healthcare Services

C. Pyo, Jaehak Yu, Soonhyun Kwon, 2021, 2021 International Conference on Platform Technology and Service (PlatCon).

A molecular generative model with genetic algorithm and tree search for cancer samples pdf

Hyunju Lee, Sejin Park, Hyunju Lee, 2021, ArXiv.

Prostate Cancer Segmentation using Manifold Mixup U-Net

Sejin Park, Kyu-Hwan Jung, Sung Il Hwang, 2019 .