| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 224 | 2022 |
| A PET radiomics model to predict refractory mediastinal Hodgkin lymphoma SA Milgrom, H Elhalawani, J Lee, Q Wang, ASR Mohamed, BS Dabaja, ... Scientific reports 9 (1), 1322, 2019 | 97 | 2019 |
| Radiomics feature robustness as measured using an MRI phantom J Lee, A Steinmann, Y Ding, H Lee, C Owens, J Wang, J Yang, D Followill, ... Scientific reports 11 (1), 3973, 2021 | 93 | 2021 |
| Radiomics in glioblastoma: current status, challenges and potential opportunities S Narang, M Lehrer, D Yang, J Lee, A Rao Translational Cancer Research 5 (4), 2016 | 82 | 2016 |
| Texture feature ratios from relative CBV maps of perfusion MRI are associated with patient survival in glioblastoma J Lee, R Jain, K Khalil, B Griffith, R Bosca, G Rao, A Rao American Journal of Neuroradiology 37 (1), 37-43, 2016 | 78 | 2016 |
| Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning J Lee, N Wang, S Turk, S Mohammed, R Lobo, J Kim, E Liao, ... Scientific reports 10 (1), 20331, 2020 | 60 | 2020 |
| Computational resources for radiomics X Fave, D Mackin, J Lee, J Yang, L Zhang Translational Cancer Research 5 (4), 2016 | 60 | 2016 |
| Associating spatial diversity features of radiologically defined tumor habitats with epidermal growth factor receptor driver status and 12-month survival in glioblastoma … J Lee, S Narang, JJ Martinez, G Rao, A Rao Journal of Medical Imaging 2 (4), 041006-041006, 2015 | 46 | 2015 |
| Spatial habitat features derived from multiparametric magnetic resonance imaging data are associated with molecular subtype and 12-month survival status in glioblastoma multiforme J Lee, S Narang, J Martinez, G Rao, A Rao PloS one 10 (9), e0136557, 2015 | 46 | 2015 |
| Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease J Lee, E Warner, S Shaikhouni, M Bitzer, M Kretzler, D Gipson, ... Scientific reports 12 (1), 4832, 2022 | 30 | 2022 |
| A snapshot of medical physics practice patterns KD Kisling, RB Ger, TJ Netherton, CE Cardenas, CA Owens, ... Journal of applied clinical medical physics 19 (6), 306-315, 2018 | 29 | 2018 |
| DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer A Saha, S Banerjee, S Kurtek, S Narang, J Lee, G Rao, J Martinez, ... NeuroImage: Clinical 12, 132-143, 2016 | 26 | 2016 |
| An analysis of the pharmacokinetic parameter ratios in DCE-MRI using the reference region model J Lee, S Platt, M Kent, Q Zhao Magnetic resonance imaging 30 (1), 26-35, 2012 | 21 | 2012 |
| Stress testing pathology models with generated artifacts NC Wang, J Kaplan, J Lee, J Hodgin, A Udager, A Rao Journal of Pathology Informatics 12 (1), 54, 2021 | 17 | 2021 |
| Cost‐effective immobilization for whole brain radiation therapy AE Rubinstein, WS Ingram, BM Anderson, SS Gay, XJ Fave, RB Ger, ... Journal of applied clinical medical physics 18 (4), 116-122, 2017 | 11 | 2017 |
| Differentiating intrinsic SERS spectra from a mixture by sampling induced composition gradient and independent component analysis J Lee, JL Abell, Q Zhao, H Szu, Y Zhao Analyst 137 (1), 73-76, 2012 | 11 | 2012 |
| Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images J Lee, E Warner, S Shaikhouni, M Bitzer, M Kretzler, D Gipson, ... Scientific Reports 13 (1), 12701, 2023 | 8 | 2023 |
| Comparison of analytical and numerical analysis of the reference region model for DCE-MRI J Lee, J Cárdenas-Rodríguez, MD Pagel, S Platt, M Kent, Q Zhao Magnetic Resonance Imaging 32 (7), 845-853, 2014 | 4 | 2014 |
| Author Correction: Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... nature communications 14 (1), 436, 2023 | 3 | 2023 |
| Quantification of DCE-MRI: pharmacokinetic parameter ratio between TOI and RR in reference region model J Lee 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 3 | 2010 |
