David F. Steiner
Google (United States)(US)
Publications by Year
Research Areas
Photodynamic Therapy Research Studies, Cancer Research and Treatments, AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment
Most-Cited Works
- → Determining cell type abundance and expression from bulk tissues with digital cytometry(2019)4,724 cited
- → "Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making(2019)535 cited
- → Adjunctive perampanel for refractory partial-onset seizures(2012)473 cited
- → Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer(2018)467 cited
- → Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI(2022)437 cited
- → Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation(2019)280 cited
- → Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context(2024)276 cited
- → Antigen presentation profiling reveals recognition of lymphoma immunoglobulin neoantigens(2017)261 cited
- → Deep learning-based survival prediction for multiple cancer types using histopathology images(2020)255 cited
- → Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens(2020)221 cited