Yujin Oh

Orcid: 0000-0003-4319-8435

According to our database1, Yujin Oh authored at least 23 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation.
Medical Image Anal., January, 2024

Quantum Implementation and Analysis of SHA-2 and SHA-3.
IACR Cryptol. ePrint Arch., 2024

OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation.
CoRR, 2024

2023
Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment.
IEEE J. Biomed. Health Informatics, August, 2023

Depth-Optimized Quantum Implementation of ARIA.
IACR Cryptol. ePrint Arch., 2023

Optimized Quantum Implementation of SEED.
IACR Cryptol. ePrint Arch., 2023

Depth-Optimized Implementation of ASCON Quantum Circuit.
IACR Cryptol. ePrint Arch., 2023

Finding Shortest Vector Using Quantum NV Sieve on Grover.
IACR Cryptol. ePrint Arch., 2023

Quantum Implementation of AIM: Aiming for Low-Depth.
IACR Cryptol. ePrint Arch., 2023

RO-LLaMA: Generalist LLM for Radiation Oncology via Noise Augmentation and Consistency Regularization.
CoRR, 2023

LLM-driven Multimodal Target Volume Contouring in Radiation Oncology.
CoRR, 2023

ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts.
CoRR, 2023

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification.
Medical Image Anal., 2022

A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies.
CoRR, 2022

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation.
CoRR, 2022

CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification.
CoRR, 2021

Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation.
CoRR, 2021

Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer.
CoRR, 2021

Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus.
CoRR, 2021

2020
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.
IEEE Trans. Medical Imaging, 2020

2015
Unit Root Tests in the Presence of Multi-Variance Break and Level Shifts That Have Power Against the Piecewise Stationary Alternative.
Commun. Stat. Simul. Comput., 2015


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