Yunkyoung Jun

Juhyeong Ki

Jiyeon Yim

Dagnachew T. Ambaye

Junghyun Rho

Phillip Chang

Gwang-il Jung

The Radiation & Medical Intelligence (RAMI) Lab seeks highly motivated graduate and intern students interested in the application of Artificial Intelligence (AI) to medical, radiation, and nuclear engineering. Inquiries can be directed to Prof. Jimin Lee.

방사선 및 의료 지능 (RAMI) 연구실은 의료, 방사선, 핵공학 분야에 인공지능(AI) 적용에 관심 있는 대학원생 및 인턴 학생을 모집하며, 지원 관련 문의는 이지민 교수에게 문의한다.

Deep learning-based metal artifact reduction in CT for total knee arthroplasty

Laplacian filter attention with style transfer GAN for brain tumor MRI imputation

Robustness evaluation against corruptions for Optical Diffraction Tomography-based classifiers

Deep Learning–Based Metal Artifact Reduction with Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer

Deep learning-based restoration of noise-corrupted and saturated beam profiles for real-time proton beam monitoring and quality assurance

A tumor inpainting framework for MRI using automated masks based on channel-specific conditions across the volume

FPL-net: A deep learning framework for solving the nonlinear Fokker–Planck–Landau collision operator for anisotropic temperature relaxation

Generation of Deep Learning Based Virtual Non-contrast CT Using Dual-layer Dual-Energy CT and its Application to Planning CT for Radiotherapy

Extraction and Evaluation of Features of Preterm Patent Ductus Arteriosus in Chest X-Ray Images Using Deep Learning

Resolution-Dependent MRI-to-CT Translation for Orthotopic Breast Cancer Models Using Deep Learning

Dual-encoder architecture for metal artifact reduction for kV-cone-beam CT images in head and neck cancer radiotherapy

Two-stage deep learning framework for occlusal crown depth image generation

CT Synthesis with Deep Learning for MR-only Radiotherapy Planning: A Review

Conversion of single-energy CT to parametric maps of dual-energy CT using convolutional neural network

Machine Learning‐based Evaluation Technology of 3D Spatial Distribution of Residual Radioactivity in Large‐scale Radioactive Structures

Deep learning-based label-free hematology analysis framework using optical diffraction tomography

TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model using MRI

Deep-Radiomics-Based Approach to the Diagnosis of Osteoporosis Using Hip Radiographs

Compton background elimination for in vivo X-ray fluorescence imaging of gold nanoparticles using convolutional neural network

Deep-learning-based label-free segmentation of cell nuclei in time- lapse refractive index tomograms

Fano cavity test for electron Monte Carlo transport algorithms in magnetic fields: comparison between EGSnrc, PENELOPE, MCNP6 and Geant4

Deep-learning-based label-free segmentation of cell nuclei in time-lapse refractive index tomograms

Deep radiomics–based approach to the diagnosis of osteoporosis using hip radiographs

Controllable text-to-image synthesis for multi-modality MR images

CT synthesis with deep learning for MR-only radiotherapy planning: a review

Machine learning‐based evaluation technology of 3D spatial distribution of residual radioactivity in large‐scale radioactive structures

Extraction and evaluation of features of preterm patent ductus arteriosus in chest X-ray images using deep learning

TS-Net: A deep learning framework for automated assessment of longitudinal tumor volume changes in an orthotopic breast cancer model using MRI

Resolution-dependent MRI-to-CT translation for orthotopic breast cancer models using deep learning

RAMI Lab

교수님 소개

이지민

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Deep learning-based metal artifact reduction in CT for total knee arthroplasty

Laplacian filter attention with style transfer GAN for brain tumor MRI imputation

Robustness evaluation against corruptions for Optical Diffraction Tomography-based classifiers

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

이지민

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Deep learning-based metal artifact reduction in CT for total knee arthroplasty

Laplacian filter attention with style transfer GAN for brain tumor MRI imputation

Robustness evaluation against corruptions for Optical Diffraction Tomography-based classifiers

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집