G. Thomas Brown

机构：National Institutes of Health · ORCID：0000-0001-7383-3116

发表论文 84 篇 · 总被引 1504 次 · h-index 17

代表论文

• The utility of artificial intelligence and deep learning to automate and accelerate follicle counts in human ovarian tissue (2025 · Biology of Reproduction · 被引 3)
• Figure S2 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group (2025)
• Figure 5 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group (2025)
• Figure 2 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group (2025)
• Supplementary_Methods1 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group (2025)
• Figure S3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group (2025)