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Introduction
Our research is focused on developing new magnetic resonance imaging (MRI) methods, and their translation to a variety of scientific and clinical studies. Specific research interests include: 1) optimal design of pulse sequences and image reconstruction algorithms based on MRI physics and signal processing principles, 2) quantitative assessments of physiologic/functional parameters, 3) novel endogenous contrast mechanisms, and 4) migration of artificial intelligence techniques to all areas of medical imaging applications.
News
Wonjun's proceeding paper, "CT-Based Hippocampus Segmentation With Dual Decoder Network (HDD-Net)", has been accepted to Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2025, a top-tier conference in medical imaging and computer science fields. Congrats!
Eunseo received an award "Best Research Presentation (최우수상)" at KNU EE Research Congress 2025 for her paper titled, "Self-Correction of B0 Field Drift and k-Space Trajectory Errors in Alternating Unbalanced SSFP for Robust R2 and R2’ Mapping". Congrats!
Wonjun's research paper titled, "Automated Brain Segmentation on Computed Tomographic Images Using Perceptual Loss Based Convolutional Neural Networks", has been accepted for publication in Investigative MRI. Congrats!
Youngho was awarded Best Trainee Scientific Award at International Congress on Magnetic Resonance Imaging (ICMRI) 2024 for his research presentation titled, "Rapid Whole-Brain Mapping of Venous Cerebral Blood Volume Using Velocity-Selective Venous-Spin-Labeling with 3D GRASE". Congrats!
Past News
Past News
Hyunjong was awarded Best Undergraduate Research Presentation at KNU EE Research Congress 2024 for his abstract titled, "Machine Learning Based Prediction of Hepatocellular Carcinoma (HCC) in Patients with Hepatitis C". Congrats!
Eunseo's proposal, titled "MRI Technique for Joint Mapping of Meso/Microscopic Scale Brain Function and Scan Acceleration", has been selected for MS research stipend by NRF (한국연구재단 석사과정연구장려금). She is going to be supported by the fund for one year. Congrats!
Youngho, Wonjun, and Eunseo's abstracts have been accepted to ISMRM, the largest international conference in MRI research field. Refer to the Publication section for the titles. They are going to present their work in May 2024 at Singapore.
Wonjun was awarded Best Trainee Scientific Award at International Congress on Magnetic Resonance Imaging 2023 for his research presentation, "Strategy for Improving Deep Learning Performance in Diagnosis of Autism Spectrum Disorder from Volumetric MRI". Congrats!
Jinwon's manuscript titled, "Automated Quantification of Total Cerebral Blood Flow from Phase-Contrast MRI and Deep Learning", was accepted for publication in Journal of Digital Imaging (Top 20% in Medical Imaging). This paper has also been selected as "Excellent Paper of 2023", awarded from KNU EE Department. Congrats!
Our research paper titled, "Validation of a New 3D Quantitative BOLD Based Cerebral Oxygen Extraction Fraction Mapping", has been accepted for publication in Journal of Cerebral Blood Flow & Metabolism (Top 15% in Neuroscience research field).
Eun Seo Bae has joined our lab as a graduate student. She is going to pursue her Master's program in our Lab. Welcome!
Our collaborative project with Dr. Wehrli's lab at the University of Pennsylvania and Dr. St. Lawrence at the University of Western Ontario has been selected for R01 grant funding by NIH. The project is titled, "Development of a Non-invasive PET/MRI Method for Imaging Aerobic Glycolysis in the Human Brain".
Our review paper titled, "Cerebral Oxygen Metabolism from MRI Susceptibility" has been accepted to NeuroImage (Top-1 Journal in Neuroimaging research field).
Our research paper titled, "Superior Sagittal Sinus Flow as a Proxy for Tracking Global Cerebral Blood Flow Dynamics During Wakefulness and Sleep", has been accepted for publication in Journal of Cerebral Blood Flow & Metabolism (Top 15% in Neuroscience research field).
Our research paper titled, "MRI Quantification of Cortical Bone Porosity, Mineralization, and Morphology in Postmenopausal Osteoporosis" has been accepted to Radiology (Top-1 Journal in Radiology and Medical Imaging). Congrats!
Hyunyeol has been appointed as Adjunct Assistant Professor of Radiology in the University of Pennsylvania.
Notice
We are actively recruiting investigators at the level of either undergraduate interns or graduate students.
Highly motivated students with backgrounds in electrical/electronic/mechanical/biomedical engineering, computer science, math or physics are welcome to join.
If you are interested in our research, please contact Hyunyeol via email (hyunyeollee@knu.ac.kr).
지능형의료영상기술연구실에서는 학부연구생, 석박사 학위과정 대학원생을 모집하고 있습니다. 의료영상과 인공지능융합 연구에 관심있는 학생은 이현열 교수 (이메일: hyunyeollee@knu.ac.kr)에게 연락바랍니다.
관련분야: 전자/전기/기계/의공학 및 컴퓨터, 수학, 물리학 등
LIMITLESS @ KNU
School of Electronics Engineering
603, IT Building 1
80 Daehak-ro, Buk-gu, Daegu, Republic of Korea
지능형의료영상기술연구실
경북대학교 전자공학부
대구광역시 북구 대학로 80
IT-1호관 603호
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