Yujin Oh

Orcid: 0000-0003-4319-8435

According to our database1, Yujin Oh authored at least 27 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

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 ARIA.
IACR Cryptol. ePrint Arch., 2024

Quantum Implementation of LSH.
IACR Cryptol. ePrint Arch., 2024

Differential Cryptanalysis on Quantum Computers.
IACR Cryptol. ePrint Arch., 2024

Depth Optimized Quantum Circuits for HIGHT and LEA.
IACR Cryptol. ePrint Arch., 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


  Loading...