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Miguel Luna
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2020 – today
- 2024
- [j6]Miguel Luna, Philip Chikontwe, Siwoo Nam, Sang Hyun Park:
Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation. Comput. Biol. Medicine 170: 108015 (2024) - [c10]Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park:
InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. MICCAI (4) 2024: 232-242 - [c9]Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sanghyun Park:
Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. MICCAI (4) 2024: 285-295 - 2023
- [j5]Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sanghyun Park:
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation. Neural Networks 166: 722-737 (2023) - [j4]Euijin Jung, Miguel Luna, Sanghyun Park:
Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression. Pattern Recognit. 133: 109061 (2023) - [j3]Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park:
Structure-preserving image translation for multi-source medical image domain adaptation. Pattern Recognit. 144: 109840 (2023) - [c8]Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park:
PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation. MICCAI (1) 2023: 528-538 - 2022
- [c7]John David Prieto Prada, Miguel Luna, Sang Hyun Park, Cheol Song:
A Deep Learning Technique as a Sensor Fusion for Enhancing the Position in a Virtual Reality Micro-Environment. IROS 2022: 4935-4940 - 2021
- [j2]Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening. Medical Image Anal. 72: 102105 (2021) - [c6]Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing. PRIME@MICCAI 2021: 37-46 - [c5]Euijin Jung, Miguel Luna, Sanghyun Park:
Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation. MICCAI (6) 2021: 318-328 - [i3]Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing. CoRR abs/2103.14255 (2021) - [i2]Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing. CoRR abs/2110.07920 (2021) - 2020
- [c4]Euijin Jung, Miguel Luna, Sanghyun Park:
Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases. PRIME@MICCAI 2020: 79-90
2010 – 2019
- 2019
- [j1]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:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c3]Soopil Kim, Miguel Luna, Philip Chikontwe, Sang Hyun Park:
Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction. BrainLes@MICCAI (1) 2019: 200-209 - [c2]Miguel Luna, Mungi Kwon, Sang Hyun Park:
Precise Separation of Adjacent Nuclei Using a Siamese Neural Network. MICCAI (1) 2019: 577-585 - [i1]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 Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - 2018
- [c1]Miguel Luna, Sang Hyun Park:
3D Patchwise U-Net with Transition Layers for MR Brain Segmentation. BrainLes@MICCAI (1) 2018: 394-403
Coauthor Index
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last updated on 2024-10-31 21:11 CET by the dblp team
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