Darryl Wright
Google (United States)(US)Mayo Clinic(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Endometrial and Cervical Cancer Treatments, Astrophysics and Cosmic Phenomena, Particle Detector Development and Performance, Radiation Detection and Scintillator Technologies
Most-Cited Works
- → Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis(2022)164 cited
- → Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning(2019)153 cited
- → Machine Learning for the Zwicky Transient Facility(2019)123 cited
- → A systematic review on the use of artificial intelligence in gynecologic imaging – Background, state of the art, and future directions(2022)86 cited
- → Integrating human and machine intelligence in galaxy morphology classification tasks(2018)64 cited
- → A transient search using combined human and machine classifications(2017)51 cited
- → Automated measurement of total kidney volume from 3D ultrasound images of patients affected by polycystic kidney disease and comparison to MR measurements(2022)34 cited
- → Automated Segmentation of Kidney Cortex and Medulla in CT Images: A Multisite Evaluation Study(2021)27 cited
- → Artificial intelligence model for enhancing the accuracy of transvaginal ultrasound in detecting endometrial cancer and endometrial atypical hyperplasia(2024)15 cited
- → Help Me to Help You(2019)10 cited