| Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging 38 (11), 2556-2568, 2019 | 269 | 2019 |
| 2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 79 | 2020 |
| Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening P Chikontwe, M Luna, M Kang, KS Hong, JH Ahn, SH Park Medical Image Analysis 72, 102105, 2021 | 33 | 2021 |
| Two-step U-Nets for brain tumor segmentation and random forest with radiomics for survival time prediction S Kim, M Luna, P Chikontwe, SH Park Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 31 | 2020 |
| 3D patchwise U-Net with transition layers for MR brain segmentation M Luna, SH Park Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 29 | 2019 |
| Conditional GAN with an attention-based generator and a 3D discriminator for 3D medical image generation E Jung, M Luna, SH Park Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 26 | 2021 |
| Quantitative assessment of chest CT patterns in COVID-19 and bacterial pneumonia patients: a deep learning perspective M Kang, KS Hong, P Chikontwe, M Luna, JG Jang, J Park, KC Shin, ... Journal of Korean medical science 36 (5), 2021 | 19 | 2021 |
| Precise separation of adjacent nuclei using a Siamese neural network M Luna, M Kwon, SH Park Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 12 | 2019 |
| Conditional generative adversarial network for predicting 3d medical images affected by alzheimer’s diseases E Jung, M Luna, SH Park Predictive Intelligence in Medicine: Third International Workshop, PRIME …, 2020 | 8 | 2020 |
| Artificial and convolutional neural networks for assessing functional connectivity in resting-state functional near infrared spectroscopy B Behboodi, SH Lim, M Luna, HA Jeon, JW Choi Journal of Near Infrared Spectroscopy 27 (3), 191-205, 2019 | 3 | 2019 |
| 3D Convolutional Neural Network with Skip Connections for WMH Segmentation M Luna, SH Park | 2 | 2017 |
| Mixing-AdaSIN: Constructing a de-biased dataset using adaptive structural instance normalization and texture mixing M Kang, P Chikontwe, M Luna, KS Hong, JH Ahn, SH Park Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021 …, 2021 | 1 | 2021 |
| Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing. M Kang, DK Won, M Luna, KS Hong, JH Ahn, SH Park CoRR, 2021 | | 2021 |
| 3D Patch based Convolutional Neural Network for WMH Segmentation M Luna, SH Park | | |
Sang Hyun ParkDaegu Gyeongbuk Institute of Science & Technology, South KoreaBestätigte E-Mail-Adresse bei dgist.ac.kr
