Daesung Kang

Seoul, Republic of Korea

Last Updated: 09/26/2026

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Found 14 publications

Efficient Ensemble Learning with Curriculum-Based Masked Autoencoders for Retinal OCT Classification.

Efficient Ensemble Learning with Curriculum-Based Masked Autoencoders for Retinal OCT Classification.

Journal: Diagnostics (Basel, Switzerland)
Published: December 01, 2025

A baseline study of interpretable machine learning using GC-MS breath VOCs for classifying asthma, bronchiectasis, and COPD.

A baseline study of interpretable machine learning using GC-MS breath VOCs for classifying asthma, bronchiectasis, and COPD.

Journal: Scientific reports
Published: July 31, 2025

CurriMAE: curriculum learning based masked autoencoders for multi-labeled pediatric thoracic disease classification.

CurriMAE: curriculum learning based masked autoencoders for multi-labeled pediatric thoracic disease classification.

Journal: PeerJ. Computer science
Published: March 07, 2025

Integrating snapshot ensemble learning into masked autoencoders for efficient self-supervised pretraining in medical imaging.

Integrating snapshot ensemble learning into masked autoencoders for efficient self-supervised pretraining in medical imaging.

Journal: Scientific reports
Published: October 07, 2024

Efficient pretraining of ECG scalogram images using masked autoencoders for cardiovascular disease diagnosis.

Efficient pretraining of ECG scalogram images using masked autoencoders for cardiovascular disease diagnosis.

Journal: Scientific reports
Published: March 27, 2024

Enhancing pediatric pneumonia diagnosis through masked autoencoders.

Enhancing pediatric pneumonia diagnosis through masked autoencoders.

Journal: Scientific reports
Published: December 24, 2023

Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases.

Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases.

Journal: Journal of personalized medicine
Published: February 01, 2023

Diagnostic usefulness of deep learning methods for Helicobacter pylori infection using esophagogastroduodenoscopy images.

Diagnostic usefulness of deep learning methods for Helicobacter pylori infection using esophagogastroduodenoscopy images.

Journal: JGH open : an open access journal of gastroenterology and hepatology
Published: October 26, 2022

Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms.

Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms.

Journal: Scientific reports
Published: August 03, 2022

A convolutional deep learning model for improving mammographic breast-microcalcification diagnosis.

A convolutional deep learning model for improving mammographic breast-microcalcification diagnosis.

Journal: Scientific reports
Published: May 14, 2021

Texture analysis using machine learning-based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapy.

Texture analysis using machine learning-based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapy.

Journal: European radiology
Published: December 10, 2020

Texture Analysis with 3.0-T MRI for Association of Response to Neoadjuvant Chemotherapy in Breast Cancer.

Texture Analysis with 3.0-T MRI for Association of Response to Neoadjuvant Chemotherapy in Breast Cancer.

Journal: Radiology
Published: November 27, 2019
Showing 1-12 of 14

Last Updated: 09/26/2026