Welcome to LESSON (Less-On) Lab
LESSON lab is a research group specializing in medical physics, with the name conveying our motivations: 1) 'Lesson' reflects the outcome gained from learning and training, and 2) 'Less-on' signifies the pursuit of solutions that invole minimal yet meaningful elements or groups. Our primary focus is on tackling the complex challenges that arise in the context of radiation treatment and treatment-preparation tasks with the aid of learning-based approaches and computational optimizing algorithms. We are currently developing 1) treatment plan optimization algorithms for the new therapeutic modalities, 2) new learning-based networks for medical image processing, and 3) outcome predictive models in relation to radiotherapy treatment.
Recruit
We are hiring highly motivated students who are interested in medical physics with programming experience and physics /engineering background. Please send your CV to Dr. Kim at HJHENRYKIM@yuhs.ac
News
Dec 2024 JaeHyun Seok's paper (Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images) was accepted and published by Frontiers in Oncology. Congraluations!!
Oct 2024 Sang Kyung Yoo(Former co-advising student)'s paper (Development of learning-based predictive models for radiation-induced atrial fibrillation in non-small cell lung cancer patients by integrating patient-specific clinical, dosimetry, and diagnostic information) was accepted by Radiotherapy and Oncology. Congraluations!!
Sept 2024 Hyeonjeong Cho received the Young Investigator Award at the 10th Japan-Korea Joint Meeting on Medical Physics. Congratulations!!
Aug 2024 Hyeonjeong Cho was selected as a recipent of the 2024 Youlchon AI Scholarship. Congratulations!!
June 2024 Hyeonjeong Cho's paper ( "Generating 3D images of VMAT plans for predictive models and activation maps associated with plan deliverability") was accepted by Medical Physics. Congratulations on your achievement!
Apr 2024 Prof. Kim received a "Young Faculty Grant" from National Research Foundation.
Apr 2024 Prof. Kim's paper ("Clinical feasibility of deep learning-based synthetic CT images from T2-weighted MR images for cervical cancer patients compared to MRCAT") was accepted and published in Scientific Reports.
Mar 2024 Sac Lee joined our group. Welcome to our lab!!
Nov 2023 Hyeonjeong Cho's paper ( "Empowering Vision Transformer by Network Hyper-Parameter Selection for Whole Pelvis Prostate Planning Target Volume Auto-Segmentation") was accepted and pusblished in Cancers. Congratulations on your first publication!
May 2023 Prof. Kim received a grant from "2nd Government-led Medical Device Research and Development Project"
Mar 2023 Sang Kyun Yoo's paper (one of the co-first authors of "Acute coronary event (ACE) prediction following breast radiotherapy by features extracted from 3D CT, dose and cardiac structures" ) was accepted in Medical Physics. Congratulations on your achievement!