| Developmental exposure to lead causes persistent immunotoxicity in Fischer 344 rats TE Miller, KA Golemboski, RS Ha, T Bunn, FS Sanders, RR Dietert Toxicological Sciences 42 (2), 129-135, 1998 | 196 | 1998 |
| Understanding artificial intelligence based radiology studies: What is overfitting? S Mutasa, S Sun, R Ha Clinical imaging 65, 96-99, 2020 | 190 | 2020 |
| Moving to human immunodeficiency virus type 1 vaccine efficacy trials: defining T cell responses as potential correlates of immunity ND Russell, MG Hudgens, R Ha, C Havenar-Daughton, MJ McElrath The Journal of infectious diseases 187 (2), 226-242, 2003 | 135 | 2003 |
| Prior to initiation of chemotherapy, can we predict breast tumor response? Deep learning convolutional neural networks approach using a breast MRI tumor dataset R Ha, C Chin, J Karcich, MZ Liu, P Chang, S Mutasa, E Pascual Van Sant, ... Journal of digital imaging 32, 693-701, 2019 | 126 | 2019 |
| Predicting breast cancer molecular subtype with MRI dataset utilizing convolutional neural network algorithm R Ha, S Mutasa, J Karcich, N Gupta, E Pascual Van Sant, J Nemer, M Sun, ... Journal of digital imaging 32, 276-282, 2019 | 110 | 2019 |
| Innovations in image-guided preoperative breast lesion localization E Cheang, R Ha, CM Thornton, VL Mango The British journal of radiology 91 (1085), 20170740, 2018 | 102 | 2018 |
| Evaluation of the SAVI SCOUT surgical guidance system for localization and excision of nonpalpable breast lesions: a feasibility study V Mango, R Ha, A Gomberawalla, R Wynn, S Feldman American journal of roentgenology 207 (4), W69-W72, 2016 | 80 | 2016 |
| Should we ignore, follow, or biopsy? Impact of artificial intelligence decision support on breast ultrasound lesion assessment VL Mango, M Sun, RT Wynn, R Ha American Journal of Roentgenology 214 (6), 1445-1452, 2020 | 76 | 2020 |
| Optical coherence tomography: a novel imaging method for post-lumpectomy breast margin assessment—a multi-reader study R Ha, LC Friedlander, H Hibshoosh, C Hendon, S Feldman, S Ahn, ... Academic radiology 25 (3), 279-287, 2018 | 73 | 2018 |
| Beyond wires and seeds: reflector-guided breast lesion localization and excision VL Mango, RT Wynn, S Feldman, L Friedlander, E Desperito, SN Patel, ... Radiology 284 (2), 365-371, 2017 | 73 | 2017 |
| Global trend in artificial intelligence–based publications in radiology from 2000 to 2018 E West, S Mutasa, Z Zhu, R Ha American Journal of Roentgenology 213 (6), 1204-1206, 2019 | 72 | 2019 |
| Axillary lymph node evaluation utilizing convolutional neural networks using MRI dataset R Ha, P Chang, J Karcich, S Mutasa, R Fardanesh, RT Wynn, MZ Liu, ... Journal of digital imaging 31, 851-856, 2018 | 71 | 2018 |
| Convolutional neural network using a breast MRI tumor dataset can predict oncotype Dx recurrence score R Ha, P Chang, S Mutasa, J Karcich, S Goodman, E Blum, K Kalinsky, ... Journal of Magnetic Resonance Imaging 49 (2), 518-524, 2019 | 65 | 2019 |
| Increased rates of authorship in radiology publications: a bibliometric analysis of 142,576 articles published worldwide by radiologists between 1991 and 2012 DS Chow, R Ha, CG Filippi American Journal of Roentgenology 204 (1), W52-W57, 2015 | 57 | 2015 |
| Convolutional neural network based breast cancer risk stratification using a mammographic dataset R Ha, P Chang, J Karcich, S Mutasa, EP Van Sant, MZ Liu, ... Academic radiology 26 (4), 544-549, 2019 | 56 | 2019 |
| Breast cancer molecular subtype as a predictor of the utility of preoperative MRI R Ha, B Jin, V Mango, L Friedlander, V Miloshev, S Malak, R Wynn American Journal of Roentgenology 204 (6), 1354-1360, 2015 | 54 | 2015 |
| Reflector-guided breast tumor localization versus wire localization for lumpectomies: a comparison of surgical outcomes SN Patel, VL Mango, P Jadeja, L Friedlander, E Desperito, R Wynn, ... Clinical imaging 47, 14-17, 2018 | 48 | 2018 |
| HIV-1 vaccination administered intramuscularly can induce both systemic and mucosal T cell immunity in HIV-1-uninfected individuals L Musey, Y Ding, M Elizaga, R Ha, C Celum, MJ McElrath The Journal of Immunology 171 (2), 1094-1101, 2003 | 48 | 2003 |
| Convolutional neural network detection of axillary lymph node metastasis using standard clinical breast MRI T Ren, R Cattell, H Duanmu, P Huang, H Li, R Vanguri, MZ Liu, ... Clinical breast cancer 20 (3), e301-e308, 2020 | 46 | 2020 |
| Characteristics and outcome of enhancing foci followed on breast MRI with management implications R Ha, J Sung, C Lee, C Comstock, R Wynn, E Morris Clinical radiology 69 (7), 715-720, 2014 | 45 | 2014 |
