Jason Hipp
Mayo Clinic in Arizona(US)
Publications by Year
Research Areas
AI in cancer detection, Esophageal Cancer Research and Treatment, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, Vitamin D Research Studies
Most-Cited Works
- → Detecting Cancer Metastases on Gigapixel Pathology Images(2017)521 cited
- → Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer(2019)484 cited
- → Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer(2018)467 cited
- → Derivation and Comparative Assessment of Retinal Pigment Epithelium from Human Embryonic Stem Cells Using Transcriptomics(2004)445 cited
- → Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists(2018)384 cited
- → Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making(2019)376 cited
- → An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis(2019)338 cited
- → Cytotoxic T cell immunity against telomerase reverse transcriptase in humans(2000)255 cited
- → Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens(2020)221 cited
- → Nonhuman primate parthenogenetic stem cells(2003)188 cited