Sang Park-Hyun

Hyeonpung, Republic of Korea

Last Updated: 09/26/2026

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Found 13 publications

MOSInversion: Knowledge distillation-based incremental learning in organ segmentation using DeepInversion.

MOSInversion: Knowledge distillation-based incremental learning in organ segmentation using DeepInversion.

Journal: Computers in biology and medicine
Published: December 25, 2024

Video domain adaptation for semantic segmentation using perceptual consistency matching.

Video domain adaptation for semantic segmentation using perceptual consistency matching.

Journal: Neural networks : the official journal of the International Neural Network Society
Published: November 12, 2023

Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation.

Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation.

Journal: Medical image analysis
Published: September 27, 2023

Author Correction: A deep learning based dual encoder-decoder framework for anatomical structure segmentation in chest X-ray images.

Author Correction: A deep learning based dual encoder-decoder framework for anatomical structure segmentation in chest X-ray images.

Journal: Scientific reports
Published: September 04, 2023

Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets.

Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets.

Journal: Medical image analysis
Published: July 10, 2023

Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation.

Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation.

Journal: Neural networks : the official journal of the International Neural Network Society
Published: January 04, 2023

Author Correction: A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography.

Author Correction: A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography.

Journal: Scientific reports
Published: December 05, 2022

A deep learning based dual encoder-decoder framework for anatomical structure segmentation in chest X-ray images.

A deep learning based dual encoder-decoder framework for anatomical structure segmentation in chest X-ray images.

Journal: Scientific reports
Published: May 31, 2022

Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization.

Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization.

Journal: Medical image analysis
Published: July 22, 2021

A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography.

A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography.

Journal: Scientific reports
Published: March 22, 2021

Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective.

Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective.

Journal: Journal of Korean medical science
Published: November 13, 2020

Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening.

Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening.

Journal: Medical image analysis
Published: August 28, 2020
Showing 1-12 of 13

Last Updated: 09/26/2026