| 2021 | 3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT | 최장환 | Article |
| 2023 | A Deep Learning Framework for Predicting Pressure Ulcers Using Convolutional and Recurrent Neural Networks | 김연희 | Master's Thesis |
| 2019 | A learning-based material decomposition pipeline for multi-energy x-ray imaging | 최장환 | Article |
| 2023 | A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer | 박영미; 최장환 | Article |
| 2021 | A sequential and intensive weighted language modeling scheme for multi-task learning-based natural language understanding | 최장환 | Article |
| 2026 | A Study on Diffusion-based Masked Autoencoders for Multivariate Time Series Representation Learning and Forecasting | 이승연 | Master's Thesis |
| 2024 | A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective | 최장환 | Review |
| 2022 | Acquisition of a single grid-based phase-contrast X-ray image using instantaneous frequency and noise filtering | 최장환 | Article |
| 2024 | Advance Deep Learning Approaches for Detecting Objects, Tumors, and Landmarks in Diverse Domains | Thanaporn Viriyasaranon | Doctoral Thesis |
| 2024 | Advancing Cross Attention Mechanisms for Cross Domain Applications | 조건희 | Master's Thesis |
| 2024 | Advancing Deep Learning Framework for Anatomical Landmark Detection | 마세리 | Master's Thesis |
| 2023 | Advancing diabetes prediction with a progressive self-transfer learning framework for discrete time series data | 최장환 | Article |
| 2023 | Advancing Perceptual Image Quality Assessment in Medical Imaging | 이원경 | Master's Thesis |
| 2024 | An unsupervised two-step training framework for low-dose computed tomography denoising | 최장환 | Article |
| 2023 | Anatomical Landmark Detection Using Attention Modules and Geometric Data Augmentation in X-ray Images | 이효정 | Master's Thesis |
| 2023 | Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT Images: A Retrospective Diagnostic Study | 최장환 | Article |
| 2017 | Assessment of a photon-counting detector for a dual-energy C-arm angiographic system: | 최장환 | Article |
| 2019 | Automated stitching of microscope images of fluorescence in cells with minimal overlap | 김명희; 최장환 | Article |
| 2023 | Botulinum neurotoxin type A improves vasti muscle balance, patellar tracking, and pain in patients with chronic patellofemoral pain | 최장환 | Article |
| 2022 | Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer | 최장환 | Article |
| 2025 | Deep Learning-Based Representation and Fusion Techniques for Heterogeneous Biomedical Data in Personalized Healthcare | 김기현 | Doctoral Thesis |
| 2026 | Development of Machine LearningBased Early Indicators for Preclinical Detection of Cognitive and Musculoskeletal Disorders | 이효빈 | Doctoral Thesis |
| 2024 | Efficient Deep-Detector Image Quality Assessment Based on Knowledge Distillation | 최장환 | Article |
| 2025 | FMD | 손주헌 | Master's Thesis |
| 2017 | Fully automated nipple detection in digital breast tomosynthesis | 최장환 | Article |
| 2026 | Improving patellofemoral pain assessment with weight-bearing computed tomography and machine learning using three-dimensional knee joint metrics | 최장환; 이효빈 | Article |
| 2025 | In-Context Pancreatic Tumor CT Synthesis | 변규리 | Master's Thesis |
| 2021 | Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT | 최장환 | Article |
| 2021 | Integration of clinical features, handcrafted radiomics, and deep learning-based radiomics for predicting recurrence in patients with non-small cell lung cancer | 문세화 | Master's Thesis |
| 2016 | Interventional dual-energy imaging-Feasibility of rapid kV-switching on a C-arm CT system | 최장환 | Article |
