| 2025 | MICCAI | Improved Tumor Segmentation Using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI. | Miguel Luna, John Baek, Won Hwa Kim, Wan Gyu Son, Kwang Min Lee, Hye Jung Kim, Jaeil Kim |
| 2024 | MICCAI | Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. | Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sanghyun Park |
| 2024 | MICCAI | InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. | Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park |
| 2023 | MICCAI | PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation. | Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park |
| 2022 | IROS | A Deep Learning Technique as a Sensor Fusion for Enhancing the Position in a Virtual Reality Micro-Environment. | John David Prieto Prada, Miguel Luna, Sang Hyun Park, Cheol Song |
| 2021 | MICCAI | Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation. | Euijin Jung, Miguel Luna, Sanghyun Park |
| 2021 | MICCAI | Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing. | Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park |
| 2020 | MICCAI | Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases. | Euijin Jung, Miguel Luna, Sanghyun Park |
| 2019 | MICCAI | Precise Separation of Adjacent Nuclei Using a Siamese Neural Network. | Miguel Luna, Mungi Kwon, Sang Hyun Park |
| 2018 | MICCAI | 3D Patchwise U-Net with Transition Layers for MR Brain Segmentation. | Miguel Luna, Sang Hyun Park |