3D Patchwise U-Net with Transition Layers for MR Brain Segmentation. - Miguel Luna; Sang Hyun Park 004 (BrainLes@MICCAI (1), 2018)

Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction. - Soopil Kim; Miguel Luna; Philip Chikontwe; Sang Hyun Park 004 (BrainLes@MICCAI (1), 2019)

Precise Separation of Adjacent Nuclei Using a Siamese Neural Network. - Miguel Luna; Mungi Kwon; Sang Hyun Park 004 (MICCAI (1), 2019)

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. - Hugo J. Kuijf; Adrià Casamitjana; D. Louis Collins; Mahsa Dadar; Achilleas Georgiou; Mohsen Ghafoorian; Dakai Jin; April Khademi; Jesse Knight; Hongwei Li 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases. - Euijin Jung; Miguel Luna; Sanghyun Park 004 (PRIME@MICCAI, 2020)

Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation. - Euijin Jung; Miguel Luna; Sanghyun Park 004 (MICCAI (6), 2021)

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 004 (PRIME@MICCAI, 2021)

Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing. - Myeongkyun Kang; Dong Kyu Won; Miguel Luna; Kyung Soo Hong; June Hong Ahn; Sang Hyun Park 004 (CoRR, 2021)

Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening. - Philip Chikontwe; Miguel Luna; Myeongkyun Kang; Kyung Soo Hong; June Hong Ahn; Sang Hyun Park 004 (Medical Image Anal., 2021)

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 004; Cheol Song (IROS, 2022)

PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation. - Siwoo Nam; Jaehoon Jeong; Miguel Luna; Philip Chikontwe; Sanghyun Park 004 (MICCAI (1), 2023)

Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression. - Euijin Jung; Miguel Luna; Sanghyun Park 004 (Pattern Recognit., 2023)

Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation. - Myeongkyun Kang; Dong Kyu Won; Miguel Luna; Philip Chikontwe; Kyung Soo Hong; June Hong Ahn; Sanghyun Park 004 (Neural Networks, 2023)

Structure-preserving image translation for multi-source medical image domain adaptation. - Myeongkyun Kang; Philip Chikontwe; Dong Kyu Won; Miguel Luna; Sang Hyun Park 004 (Pattern Recognit., 2023)

Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. - Philip Chikontwe; Myeongkyun Kang; Miguel Luna; Siwoo Nam; Sanghyun Park 004 (MICCAI (4), 2024)

InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. - Siwoo Nam; Hyun Namgung; Jaehoon Jeong; Miguel Luna; Soopil Kim; Philip Chikontwe; Sanghyun Park 004 (MICCAI (4), 2024)

Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation. - Miguel Luna; Philip Chikontwe; Siwoo Nam; Sang Hyun Park 004 (Comput. Biol. Medicine, 2024)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. - Gongning Luo; Mingwang Xu; Hongyu Chen; Xinjie Liang; Xing Tao; Dong Ni 001; Hyunsu Jeong; Chulhong Kim; Raphael Stock; Michael Baumgartner 001; Yannick Kirchhoff; Maximilian Rokuss; et al. (CoRR, 2025)