Trissia Brown
Google (United States)(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Colorectal Cancer Screening and Detection, Prostate Cancer Diagnosis and Treatment, Breast Cancer Treatment Studies
Most-Cited Works
- → Determining breast cancer biomarker status and associated morphological features using deep learning(2021)145 cited
- → Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies(2020)113 cited
- → Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection(2019)92 cited
- → Deep learning models for histologic grading of breast cancer and association with disease prognosis(2022)71 cited
- → Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images(2021)55 cited
- → Proceedings of a National Cancer Institute workshop: MR spectroscopy and tumor cell biology.(1992)34 cited
- → Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning(2023)30 cited
- Automatic Assessment of Whole-Slide Image Quality and its Impact on AI Cancer Diagnosis(2019)
- A.I.-based Gleason Grading for Stratification of Prostate Cancer Outcomes(2021)