Miguel Luna

21 papers A 1Journal 10Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Improved Tumor Segmentation Using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI.
MICCAI (11)
Miguel Luna, John Baek, Won Hwa Kim, Wan Gyu Son, Kwang Min Lee, Hye Jung Kim, Jaeil Kim
2025 J jnl
Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge.
CoRR
Gongning Luo, Mingwang Xu, Hongyu Chen, Xinjie Liang, Xing Tao, Dong Ni, Hyunsu Jeong, Chulhong Kim, Raphael Stock, Michael Baumgartner, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Zhikai Yang, Tianyu Fan, Nicolas Boutry, Dmitry Tereshchenko, Arthur Moine, Maximilien Charmetant, Jan Sauer, Hao Du, Xiang-Hui Bai, Vipul Pai Raikar, Ricardo Montoya-del-Angel, Robert Marti, Miguel Luna, Dongmin Lee, Abdul Qayyum, Moona Mazher, Qihui Guo, Changyan Wang, Navchetan Awasthi, Qiaochu Zhao, Wei Wang, Kuanquan Wang, Qiucheng Wang, Suyu Dong
2024 J jnl
Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation.
Comput. Biol. Medicine
Miguel Luna, Philip Chikontwe, Siwoo Nam, Sang Hyun Park
2024 — conf
InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations.
MICCAI (4)
Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park
2024 — conf
Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification.
MICCAI (4)
Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sanghyun Park
2023 J jnl
Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression.
Pattern Recognit.
Euijin Jung, Miguel Luna, Sanghyun Park
2023 J jnl
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation.
Neural Networks
Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sanghyun Park
2023 — conf
PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation.
MICCAI (1)
Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park
2023 J jnl
Structure-preserving image translation for multi-source medical image domain adaptation.
Pattern Recognit.
Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park
2022 A conf
A Deep Learning Technique as a Sensor Fusion for Enhancing the Position in a Virtual Reality Micro-Environment.
IROS
John David Prieto Prada, Miguel Luna, Sang Hyun Park, Cheol Song
2021 — conf
Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation.
MICCAI (6)
Euijin Jung, Miguel Luna, Sanghyun Park
2021 J jnl
Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing.
CoRR
Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021 J jnl
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening.
Medical Image Anal.
Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021 — conf
Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing.
PRIME@MICCAI
Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021 J jnl
Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing.
CoRR
Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2020 — conf
Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases.
PRIME@MICCAI
Euijin Jung, Miguel Luna, Sanghyun Park
2019 — conf
Precise Separation of Adjacent Nuclei Using a Siamese Neural Network.
MICCAI (1)
Miguel Luna, Mungi Kwon, Sang Hyun Park
2019 J jnl
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
CoRR
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019 J jnl
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging
Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso
2019 — conf
Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction.
BrainLes@MICCAI (1)
Soopil Kim, Miguel Luna, Philip Chikontwe, Sang Hyun Park
2018 — conf
3D Patchwise U-Net with Transition Layers for MR Brain Segmentation.
BrainLes@MICCAI (1)
Miguel Luna, Sang Hyun Park