Yujin Oh

IACR Cryptol. ePrint Arch., 2025

Depth-Optimized Quantum Implementation of CHAM.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2025

Cascaded 3D Diffusion Models for Whole-Body 3D 18-F FDG PET/CT Synthesis from Demographics.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., January, 2024

Improved Quantum Analysis of ARIA.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2024

Differential Cryptanalysis on Quantum Computers.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2024

Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

High-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum Implementation of LSH.

[BibT_eX]

[DOI]

Proceedings of the Information Security Applications - 25th International Conference, 2024

Quantum Implementation and Analysis of ARIA.

[BibT_eX]

[DOI]

Proceedings of the Silicon Valley Cybersecurity Conference, 2024

Depth Optimized Quantum Circuits for HIGHT and LEA.

[BibT_eX]

[DOI]

Proceedings of the Silicon Valley Cybersecurity Conference, 2024

Quantum Implementation of Linear and Non-Linear Layers.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

CS-Net: A Deep Learning-Based Analysis for the Cryptography and Steganography.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Cryptology - ICISC 2024, 2024

OTSeg: Multi-Prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

Kwanyoung Kim

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, August, 2023

Depth-Optimized Implementation of ASCON Quantum Circuit.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Quantum Implementation of AIM: Aiming for Low-Depth.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

LLM-driven Multimodal Target Volume Contouring in Radiation Oncology.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Kwanyoung Kim

CoRR, 2023

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation.

[BibT_eX]

[DOI]

Boah Kim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Depth-Optimized Quantum Implementation of ARIA.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Cryptology - ICISC 2023, 2023

Optimized Quantum Implementation of SEED.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Cryptology - ICISC 2023, 2023

Finding Shortest Vector Using Quantum NV Sieve on Grover.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Cryptology - ICISC 2023, 2023

2022

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

[BibT_eX]

[DOI]

Medical Image Anal., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

2020

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.

[BibT_eX]

[DOI]

Sangjoon Park

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.

[BibT_eX]

[DOI]