Proscia, Ibex, and Quest Diagnostics Webinar: Quantifying the Value of AI-Powered Digital WorkflowsSIGN UP
2022
Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression
2021
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth
2020
Tailored for Real-World: A Whole Slide Image Classification System Validated on Uncurated Multi-SiteData Emulating the Prospective Pathology Workload
2020
ECDP 2020: Automated Prediction of Malignancy in Specimens of Melanocytic Lesions Using Weakly-Supervised Deep Neural Networks
2019
CMBBE2019 Abstract Book: Computer Methods in Biomechanics and Biomedical Engineering and the 4th Conference on Imaging and Visualization
2018
Diagnostic Performance of Deep Learning Algorithms Applied to Three Common Diagnoses in Dermatopathology

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