Miguel Luna

According to our database, Miguel Luna authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Comput. Biol. Medicine, March, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification.

Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Structure-preserving image translation for multi-source medical image domain adaptation.

Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park

Pattern Recognit., December, 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

Neural Networks, September, 2023

Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression.

Euijin Jung, Miguel Luna, Sanghyun Park

Pattern Recognit., 2023

PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation.

Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

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

Medical Image Anal., 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

CoRR, 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

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation.

Euijin Jung, Miguel Luna, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases.

Euijin Jung, Miguel Luna, Sanghyun Park

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

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, 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 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

IEEE Trans. Medical Imaging, 2019

Precise Separation of Adjacent Nuclei Using a Siamese Neural Network.

Miguel Luna, Mungi Kwon, Sang Hyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

3D Patchwise U-Net with Transition Layers for MR Brain Segmentation.

Miguel Luna, Sang Hyun Park

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018