| ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ... Frontiers in neurology 9, 679, 2018 | 166 | 2018 |
| Ensemble of deep convolutional neural networks for prognosis of ischemic stroke Y Choi, Y Kwon, H Lee, BJ Kim, MC Paik, JH Won Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 56 | 2016 |
| Multi‐scale, domain knowledge‐guided attention+ random forest: a two‐stage deep learning‐based multi‐scale guided attention models to diagnose idiopathic pulmonary fibrosis … W Yu, H Zhou, Y Choi, JG Goldin, P Teng, WK Wong, MF McNitt‐Gray, ... Medical physics 50 (2), 894-905, 2023 | 8 | 2023 |
| AI-human interactive pipeline with feedback to accelerate medical image annotation Y Choi, M Garcia, SS Raman, DR Enzmann, MS Brown Medical Imaging 2022: Computer-Aided Diagnosis 12033, 755-761, 2022 | 5 | 2022 |
| Ornstein Auto-Encoders. Y Choi, JH Won IJCAI, 2172-2178, 2019 | 5 | 2019 |
| Translating AI to clinical practice: overcoming data shift with explainability Y Choi, W Yu, MB Nagarajan, P Teng, JG Goldin, SS Raman, ... Radiographics 43 (5), e220105, 2023 | 4 | 2023 |
| An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images W Yu, H Zhou, Y Choi, JG Goldin, P Teng, GHJ Kim Medical Imaging 2021: Computer-Aided Diagnosis 11597, 458-463, 2021 | 4 | 2021 |
| Ischemic stroke lesion segmentation with convolutional neural networks for small data Y Choi, Y Kwon, MC Paik, BJ Kim, JH Won Ischemic Stroke Lesion Segmentation–ISLES challenge 2017, held in …, 2017 | 4 | 2017 |
| Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing G Melendez-Corres, Y Choi, M Wahi-Anwar, H Coy, S Raman, M Brown Medical Imaging 2023: Computer-Aided Diagnosis 12465, 440-444, 2023 | 3 | 2023 |
| Learning from nested data with ornstein auto-encoders Y Choi, S Lee, JH Won International Conference on Machine Learning, 1943-1952, 2021 | 3 | 2021 |
| Mga-net: multi-scale guided attention models for an automated diagnosis of idiopathic pulmonary fibrosis (IPF) W Yu, H Zhou, Y Choi, JG Goldin, GHJ Kim 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1777-1780, 2021 | 3 | 2021 |
| SimpleMind adds thinking to deep neural networks Y Choi, MW Wahi-Anwar, MS Brown arXiv preprint arXiv:2212.00951, 2022 | 2 | 2022 |
| SimpleMind: an open-source software environment that adds thinking to deep neural networks Y Choi, MW Wahi-Anwar, MS Brown Plos one 18 (4), e0283587, 2023 | 1 | 2023 |
| Wasserstein Geodesic Generator for Conditional Distributions Y Kim, K Lee, Y Choi, JH Won, MC Paik arXiv preprint arXiv:2308.10145, 2023 | | 2023 |
| Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function S Wei, Y Choi, MW Wahi-Anwar, L Shrestha, KP Wong, MS Brown Medical Imaging 2023: Computer-Aided Diagnosis 12465, 433-439, 2023 | | 2023 |
| MSGA+ RF: A two-stage deep learning-based multi-scale guided attention models to diagnose idiopathic pulmonary fibrosis from CT images. W Yu, H Zhou, Y Choi, JG Goldin, P Teng, WK Wong, MF McNitt-Gray, ... Medical Physics, 2022 | | 2022 |
| Impact of Diffusion–Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning S Lee, L Sunwoo, Y Choi, JH Jung, SC Jung, JH Won IEEE Access 10, 97879-97887, 2022 | | 2022 |
| Developing 2D and 3D Deep Learning-Based Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF) Using Chest CT Scans W Yu, J Goldin, H Zhou, Y Choi, P Teng, M Brown, GH Kim TP26. TP026 DIAGNOSIS, ASSESSMENT, AND PROGNOSIS OF FIBROTIC ILD, A1850-A1850, 2021 | | 2021 |
| A novel physics-based data augmentation approach for improved robust deep learning in medical imaging: lung nodule CAD false positive reduction in low-dose CT environments MW Wahi-Anwar, N Emaminejad, Y Choi, HG Kim, W Hsu, MS Brown, ... Medical Imaging 2021: Physics of Medical Imaging 11595, 89-104, 2021 | | 2021 |
| DeepBiome: a phylogenetic tree informed deep neural network for microbiome data analysis J Zhai, Y Choi, Y Chen, K Knox, H Twigg III, W Joong-Ho, H Zhou, J Zhou | | 2020 |
