| Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E‐stained images: achieving state‐of‐the‐art predictive performance with fewer data using … B Guo, X Li, M Yang, J Jonnagaddala, H Zhang, XS Xu The Journal of Pathology: Clinical Research 9 (3), 223-235, 2023 | 9* | 2023 |
| A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations B Guo, X Li, M Yang, H Zhang, XS Xu Computerized Medical Imaging and Graphics 105, 102189, 2023 | 2 | 2023 |
| Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP-and Convolutional Neural Network-based Deep Learning Pipelines M Cen, X Li, B Guo, J Jonnagaddala, H Zhang, XS Xu arXiv preprint arXiv:2302.10406, 2023 | 2 | 2023 |
| Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance M Yuan, H Ding, B Guo, M Yang, Y Yang, XS Xu JCO Clinical Cancer Informatics 8, e2300154, 2024 | | 2024 |
| A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers Using Sequencer Architecture M Cen, X Li, B Guo, J Jonnagaddala, H Zhang, XS Xu The American Journal of Pathology 193 (12), 2122-2132, 2023 | | 2023 |
| Prognostic Significance of Tumor-Infiltrating Lymphocytes Determined Using LinkNet on Colorectal Cancer Pathology Images A Liu, X Li, H Wu, B Guo, J Jonnagaddala, H Zhang, S Xu JCO Precision Oncology 7, e2200522, 2023 | | 2023 |
Steven XuJanssen R&DVerified email at its.jnj.com
