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2024

Conference Publication

Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset

Wainstein, Marina, Edward, Eleanor, Spyrison, Nicholas, Rahimi, Amir Kamel, Ghadimi, Moji, Johnson, David and Shrapnel, Sally (2024). Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset. ISN World Congress of Nephrology (WCN) 2024, Buenos Aires, Argentina, 13-16 April 2024. New York, NY United States: Elsevier. doi: 10.1016/j.ekir.2024.02.537

Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset

2023

Conference Publication

A Systematic Review of Externally Validated Machine Learning Models for Predicting AKI in General Hospital Patients

Wainstein, Marina, Flanagan, Emily K., Johnson, David W. and Shrapnel, Sally (2023). A Systematic Review of Externally Validated Machine Learning Models for Predicting AKI in General Hospital Patients. Kidney Week, Philadelphia, PA United States, 1-5 November 2023. Philadelphia, PA United States: Lippincott Williams & Wilkins. doi: 10.1681/asn.20233411s11066a

A Systematic Review of Externally Validated Machine Learning Models for Predicting AKI in General Hospital Patients

2022

Conference Publication

Validation of UCSD-Mayo Risk Score for Predicting Hospital-Acquired AKI in COVID-19 Patients

Granado, Rolando Claure-Del, Barbosa, Nicholas Y., Wainstein, Marina, Shrapnel, Sally and ISARIC Clinical Characterization Group (2022). Validation of UCSD-Mayo Risk Score for Predicting Hospital-Acquired AKI in COVID-19 Patients. Kidney Week, Orlando, FL United States, 3-6 November 2022. Washington, DC United States: American Society of Nephrology. doi: 10.1681/asn.20223311s1334c

Validation of UCSD-Mayo Risk Score for Predicting Hospital-Acquired AKI in COVID-19 Patients

2022

Conference Publication

Explainable deep learning for medical imaging models through class specific semantic dictionaries

Layton, Harrison, Shrapnel, Sally and Bialkowski, Alina (2022). Explainable deep learning for medical imaging models through class specific semantic dictionaries. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, Australia, 30 November 2022 - 02 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA56598.2022.10034639

Explainable deep learning for medical imaging models through class specific semantic dictionaries

2019

Conference Publication

Deep neural network or dermatologist?

Young, Kyle, Booth, Gareth, Simpson, Becks, Dutton, Reuben and Shrapnel, Sally (2019). Deep neural network or dermatologist?. Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, 17 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-33850-3_6

Deep neural network or dermatologist?

2019

Conference Publication

Ignorance of the whole does not imply ignorance of the parts: qudit random access codes in spatial modes of light

Kewming, Michael J., Shrapnel, Sally, White, Andrew G. and Romero, Jacquiline (2019). Ignorance of the whole does not imply ignorance of the parts: qudit random access codes in spatial modes of light. Quantum Information and Measurement, QIM 2019, Rome, Italy, 4 - 6 April 2019. Washington, DC, United States: The Optical Society. doi: 10.1364/QIM.2019.F5A.78

Ignorance of the whole does not imply ignorance of the parts: qudit random access codes in spatial modes of light