| 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 | 318 | 2019 |
| 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 | 227 | 2019 |
| Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome S Wang, A Chen, L Yang, L Cai, Y Xie, J Fujimoto, A Gazdar, G Xiao Scientific reports 8 (1), 10393, 2018 | 203 | 2018 |
| Development and validation of a nomogram prognostic model for SCLC patients S Wang, L Yang, B Ci, M Maclean, DE Gerber, G Xiao, Y Xie Journal of Thoracic Oncology 13 (9), 1338-1348, 2018 | 161 | 2018 |
| 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 | 106 | 2020 |
| ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network S Wang, T Wang, L Yang, DM Yang, J Fujimoto, F Yi, X Luo, Y Yang, ... EBioMedicine 50, 103-110, 2019 | 90 | 2019 |
| Evaluation of the 7th and 8th editions of the AJCC/UICC TNM staging systems for lung cancer in a large North American cohort L Yang, S Wang, Y Zhou, S Lai, G Xiao, A Gazdar, Y Xie Oncotarget 8 (40), 66784, 2017 | 84 | 2017 |
| Comprehensive evaluation of published gene expression prognostic signatures for biomarker-based lung cancer clinical studies H Tang, S Wang, G Xiao, J Schiller, V Papadimitrakopoulou, J Minna, ... Annals of Oncology 28 (4), 733-740, 2017 | 73 | 2017 |
| Mice with increased numbers of polyploid hepatocytes maintain regenerative capacity but develop fewer hepatocellular carcinomas following chronic liver injury YH Lin, S Zhang, M Zhu, T Lu, K Chen, Z Wen, S Wang, G Xiao, D Luo, ... Gastroenterology 158 (6), 1698-1712. e14, 2020 | 67 | 2020 |
| Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks F Yi, L Yang, S Wang, L Guo, C Huang, Y Xie, G Xiao BMC bioinformatics 19, 1-9, 2018 | 51 | 2018 |
| Tumor neoantigenicity assessment with CSiN score incorporates clonality and immunogenicity to predict immunotherapy outcomes T Lu, S Wang, L Xu, Q Zhou, N Singla, J Gao, S Manna, L Pop, Z Xie, ... Science immunology 5 (44), eaaz3199, 2020 | 45 | 2020 |
| Sprod for de-noising spatially resolved transcriptomics data based on position and image information Y Wang, B Song, S Wang, M Chen, Y Xie, G Xiao, L Wang, T Wang Nature methods 19 (8), 950-958, 2022 | 39 | 2022 |
| Outcomes of neoadjuvant and adjuvant chemotherapy in stage 2 and 3 non-small cell lung cancer: an analysis of the National Cancer Database M MacLean, X Luo, S Wang, K Kernstine, DE Gerber, Y Xie Oncotarget 9 (36), 24470, 2018 | 34 | 2018 |
| Spatial molecular profiling: platforms, applications and analysis tools M Zhang, T Sheffield, X Zhan, Q Li, DM Yang, Y Wang, S Wang, Y Xie, ... Briefings in Bioinformatics 22 (3), bbaa145, 2021 | 27 | 2021 |
| Type and case volume of health care facility influences survival and surgery selection in cases with early‐stage non–small cell lung cancer S Wang, S Lai, MS von Itzstein, L Yang, DM Yang, X Zhan, G Xiao, ... Cancer 125 (23), 4252-4259, 2019 | 20 | 2019 |
| Main bronchus location is a predictor for metastasis and prognosis in lung adenocarcinoma: A large cohort analysis L Yang, S Wang, DE Gerber, Y Zhou, F Xu, J Liu, H Liang, G Xiao, Q Zhou, ... Lung Cancer 120, 22-26, 2018 | 17 | 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 | 15 | 2022 |
| Validation of the 12-gene predictive signature for adjuvant chemotherapy response in lung cancer Y Xie, W Lu, S Wang, X Tang, H Tang, Y Zhou, C Moran, C Behrens, ... Clinical Cancer Research 25 (1), 150-157, 2019 | 14 | 2019 |
| 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 | 13 | 2023 |
| Deep learning in digital pathology for personalized treatment plans of cancer patients Z Wen, S Wang, DM Yang, Y Xie, M Chen, J Bishop, G Xiao Seminars in Diagnostic Pathology 40 (2), 109-119, 2023 | 12 | 2023 |
Guanghua XiaoUT Southwestern Medical Center在 utsouthwestern.edu 的电子邮件经过验证
