| Prediction of idiopathic pulmonary fibrosis progression using early quantitative changes on CT imaging for a short term of clinical 18–24-month follow-ups GHJ Kim, SS Weigt, JA Belperio, MS Brown, Y Shi, JH Lai, JG Goldin European radiology 30, 726-734, 2020 | 47 | 2020 |
| Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization-Random forest approach Y Shi, WK Wong, JG Goldin, MS Brown, GHJ Kim Artificial intelligence in medicine 100, 101709, 2019 | 31 | 2019 |
| Particle swarm based algorithms for finding locally and Bayesian D-optimal designs Y Shi, Z Zhang, WK Wong Journal of Statistical Distributions and Applications 6 (1), 3, 2019 | 17 | 2019 |
| Evaluation of a workflow to define low specific absorption rate MRI protocols for patients with active implantable medical devices JA Martinez, K Moulin, B Yoo, Y Shi, HJ Kim, PJ Villablanca, DB Ennis Journal of Magnetic Resonance Imaging 52 (1), 91-102, 2020 | 6 | 2020 |
| System and Method for Prediction of Disease Progression of Pulmonary Fibrosis Using Medical Images H Kim, Y Shi, JG Goldin, WK Wong US Patent App. 17/639,511, 2022 | 5 | 2022 |
| Metaheuristics for pharmacometrics S Kim, AC Hooker, Y Shi, GHJ Kim, WK Wong CPT: Pharmacometrics & Systems Pharmacology 10 (11), 1297-1309, 2021 | 3 | 2021 |
| A study design for statistical learning technique to predict radiological progression with an application of idiopathic pulmonary fibrosis using chest CT images GHJ Kim, Y Shi, W Yu, WK Wong Contemporary clinical trials 104, 106333, 2021 | 3 | 2021 |
| Prediction Of IPF Using Early Changes In Quantitative Imaging Patterns On High Resolution Computed Tomography GHJ Kim, M Brown, S Weigt, JA Belperio, RH Huynh, Y Shi, JG Goldin C39. BIOMARKERS AND PROGNOSTIC FACTORS IN ILD, A5432-A5432, 2017 | 2 | 2017 |
| Prediction of IPF with the early changes in quantitative imaging patterns using high resolution computed tomography using a single center interstitial lung disease registry GHJ Kim, Y Shi, W Hsu, L Pourzand, M Brown, J Belperio, S Weigt, ... D103. TRANSPLANT AND ILD POTPOURRI, A7476-A7476, 2018 | 1 | 2018 |
| Texture Feature Selection and Imaging Pattern Prediction of IPF Using Single Time Point High Resolution Computed Tomography Scans GH Kim, Y Shi, J Lai, J Mizuki, PY Tseng, M Brown, J Goldin A23. ILD: DIAGNOSIS, A1105-A1105, 2018 | 1 | 2018 |
| Prediction of IPF Progression Using HRCT Imaging Patterns in Elderly Population JW Song, GH Kim, S Weigt, L Pourzand, W Hsu, Y Shi, M Brown, J Goldin European Respiratory Journal 54 (suppl 63), 2019 | | 2019 |
| Prediction of progression in idiopathic pulmonary fibrosis using CT scans atbaseline: A Y Shi, WK Wong, JG Goldin | | 2019 |
| Prediction of Progression Using Quantum Particle Swarm Optimization and Its Metrics at Single Time Point HRCT Scan in Subjects with IPF GH Kim, Y Shi, WK Wong, M Brown, PY Teng, J Goldin A19. LESS IDIOPATHIC: STRUCTURAL AND FUNCTIONAL ABNORMALITIES IN IPF, A1041 …, 2019 | | 2019 |
| Using Particle Swarm Optimization to Find Efficient Designs for Mixed Effects Models with Sparse Grid and Predict Progression of Idiopathic Pulmonary Fibrosis Using Baseline … Y Shi University of California, Los Angeles, 2019 | | 2019 |
| Prediction of IPF within 1–2 year with the early changes in quantitative imaging patterns using high resolution computed tomography GJ Kim, SS Weigt, M Brown, R Huynh, JA Belperio, Y Shi, J Lai, JG Goldin Meta Gene 17, S20-S21, 2018 | | 2018 |
| C39 BIOMARKERS AND PROGNOSTIC FACTORS IN ILD: Prediction Of Ipf Using Early Changes In Quantitative Imaging Patterns On High Resolution Computed Tomography GJ Kim, M Brown, S Weigt, JA Belperio, RH Huynh, Y Shi, JG Goldin American Journal of Respiratory and Critical Care Medicine 195, 2017 | | 2017 |
