| Evidence of uncultivated bacteria in the adult female bladder AJ Wolfe, E Toh, N Shibata, R Rong, K Kenton, MP FitzGerald, ER Mueller, ... Journal of clinical microbiology 50 (4), 1376-1383, 2012 | 631 | 2012 |
| Pathology image analysis using segmentation deep learning algorithms S Wang, DM Yang, R Rong, X Zhan, G Xiao The American journal of pathology 189 (9), 1686-1698, 2019 | 310 | 2019 |
| Bacterial communities of the coronal sulcus and distal urethra of adolescent males DE Nelson, Q Dong, B Van Der Pol, E Toh, B Fan, BP Katz, D Mi, R Rong, ... PloS one 7 (5), e36298, 2012 | 257 | 2012 |
| Artificial intelligence in lung cancer pathology image analysis S Wang, DM Yang, R Rong, X Zhan, J Fujimoto, H Liu, J Minna, II Wistuba, ... Cancers 11 (11), 1673, 2019 | 213 | 2019 |
| Bacterial community profiling of milk samples as a means to understand culture-negative bovine clinical mastitis JS Kuehn, PJ Gorden, D Munro, R Rong, Q Dong, PJ Plummer, C Wang, ... PloS one 8 (4), e61959, 2013 | 186 | 2013 |
| Investigation of the effect of type 2 diabetes mellitus on subgingival plaque microbiota by high-throughput 16S rDNA pyrosequencing M Zhou, R Rong, D Munro, C Zhu, X Gao, Q Zhang, Q Dong PloS one 8 (4), e61516, 2013 | 151 | 2013 |
| The arthropod, but not the vertebrate host or its environment, dictates bacterial community composition of fleas and ticks H Hawlena, E Rynkiewicz, E Toh, A Alfred, LA Durden, MW Hastriter, ... The ISME journal 7 (1), 221-223, 2013 | 134 | 2013 |
| Computational staining of pathology images to study the tumor microenvironment in lung cancer S Wang, R Rong, DM Yang, J Fujimoto, S Yan, L Cai, L Yang, D Luo, ... Cancer research 80 (10), 2056-2066, 2020 | 99 | 2020 |
| A deep learning-based model for screening and staging pneumoconiosis L Zhang, R Rong, Q Li, DM Yang, B Yao, D Luo, X Zhang, X Zhu, J Luo, ... Scientific reports 11 (1), 2201, 2021 | 49 | 2021 |
| Lesion attributes segmentation for melanoma detection with multi-task u-net EZ Chen, X Dong, X Li, H Jiang, R Rong, J Wu 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 41 | 2019 |
| Skin lesion segmentation with C-UNet J Wu, EZ Chen, R Rong, X Li, D Xu, H Jiang 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 32 | 2019 |
| MB-GAN: microbiome simulation via generative adversarial network R Rong, S Jiang, L Xu, G Xiao, Y Xie, DJ Liu, Q Li, X Zhan GigaScience 10 (2), giab005, 2021 | 28 | 2021 |
| Skin lesion classification via combining deep learning features and clinical criteria representations X Li, J Wu, H Jiang, EZ Chen, X Dong, R Rong BioRxiv, 382010, 2018 | 22 | 2018 |
| Deep learning of rhabdomyosarcoma pathology images for classification and survival outcome prediction X Zhang, S Wang, ER Rudzinski, S Agarwal, R Rong, DA Barkauskas, ... The American Journal of Pathology 192 (6), 917-925, 2022 | 12 | 2022 |
| What evidence does deep learning model use to classify skin lesions? X Li, J Wu, EZ Chen, H Jiang arXiv preprint arXiv:1811.01051, 2018 | 10 | 2018 |
| A deep learning approach for histology-based nucleus segmentation and tumor microenvironment characterization R Rong, H Sheng, KW Jin, F Wu, D Luo, Z Wen, C Tang, DM Yang, L Jia, ... Modern Pathology 36 (8), 100196, 2023 | 9 | 2023 |
| Features of tumor-microenvironment images predict targeted therapy survival benefit in patients with EGFR-mutant lung cancer S Wang, R Rong, DM Yang, J Fujimoto, JA Bishop, S Yan, L Cai, ... The Journal of Clinical Investigation 133 (2), 2023 | 7 | 2023 |
| Skin lesion segmentation with improved C-UNet networks H Jiang, R Rong, J Wu, X Li, X Dong, EZ Chen BioRxiv, 382549, 2018 | 7 | 2018 |
| Lesion attributes segmentation for melanoma detection with deep learning EZ Chen, X Dong, J Wu, H Jiang, X Li, R Rong bioRxiv, 381855, 2018 | 7 | 2018 |
| Comparison of whole and acellular bronchoalveolar lavage to oral wash microbiomes. Should acellular bronchoalveolar lavage be the standard? HL Twigg III, DE Nelson, RB Day, RL Gregory, Q Dong, R Rong, K Knox, ... Annals of the American Thoracic Society 11 (Supplement 1), S72-S73, 2014 | 6 | 2014 |
