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Kieran Zucker

Showing results (1-10 of 17) with videos related to

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Frontiers in Radiology|June 5, 2024
Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-raysRachael Harkness, Alejandro F Frangi, Kieran Zucker, et al.
Studies in Health Technology and Informatics|June 8, 2022
AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected DataKieran Zucker, Millie Wagstaff, Cathy Tomson, et al.
Studies in Health Technology and Informatics|June 8, 2022
The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-RaysRachael Harkness, Geoff Hall, Alejandro F Frangi, et al.
International Journal of Environmental Research and Public Health|October 6, 2020
Using a Multi-Level Process Comparison for Process Change Analysis in Cancer PathwaysAngelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, et al.
NPJ Precision Oncology|January 30, 2025
A comprehensive evaluation of histopathology foundation models for ovarian cancer subtype classificationJack Breen, Katie Allen, Kieran Zucker, et al.
Studies in Health Technology and Informatics|May 27, 2021
Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First TreatmentAngelina Prima Kurniati, Eric Rojas, Kieran Zucker, et al.
Digital Health|February 4, 2020
Supporting early clinical careers in digital health: Nurturing the next generationTim Robbins, Kieran Zucker, Hatim Abdulhussein, et al.
Cancers|October 29, 2025
CHEcking Diagnostic Differential Ability of Real Baseline Variables and Frailty Scores in Tolerance of Anti-Cancer Systemic Therapy in OldEr Patients (CHEDDAR-TOASTIE)Helen H L Ng, Isa Mahmood, Francis Aggrey, et al.
Cancers|June 13, 2025
Multiple Instance Learning for the Detection of Lymph Node and Omental Metastases in Carcinoma of the Ovaries, Fallopian Tubes and PeritoneumKatie E Allen, Jack Breen, Geoff Hall, et al.
NPJ Precision Oncology|August 31, 2023
Artificial intelligence in ovarian cancer histopathology: a systematic reviewJack Breen, Katie Allen, Kieran Zucker, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Frontiers in Radiology|June 5, 2024
Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-raysRachael Harkness, Alejandro F Frangi, Kieran Zucker, et al.
Studies in Health Technology and Informatics|June 8, 2022
AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected DataKieran Zucker, Millie Wagstaff, Cathy Tomson, et al.
Studies in Health Technology and Informatics|June 8, 2022
The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-RaysRachael Harkness, Geoff Hall, Alejandro F Frangi, et al.
International Journal of Environmental Research and Public Health|October 6, 2020
Using a Multi-Level Process Comparison for Process Change Analysis in Cancer PathwaysAngelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, et al.
NPJ Precision Oncology|January 30, 2025
A comprehensive evaluation of histopathology foundation models for ovarian cancer subtype classificationJack Breen, Katie Allen, Kieran Zucker, et al.
Studies in Health Technology and Informatics|May 27, 2021
Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First TreatmentAngelina Prima Kurniati, Eric Rojas, Kieran Zucker, et al.
Digital Health|February 4, 2020
Supporting early clinical careers in digital health: Nurturing the next generationTim Robbins, Kieran Zucker, Hatim Abdulhussein, et al.
Cancers|October 29, 2025
CHEcking Diagnostic Differential Ability of Real Baseline Variables and Frailty Scores in Tolerance of Anti-Cancer Systemic Therapy in OldEr Patients (CHEDDAR-TOASTIE)Helen H L Ng, Isa Mahmood, Francis Aggrey, et al.
Cancers|June 13, 2025
Multiple Instance Learning for the Detection of Lymph Node and Omental Metastases in Carcinoma of the Ovaries, Fallopian Tubes and PeritoneumKatie E Allen, Jack Breen, Geoff Hall, et al.
NPJ Precision Oncology|August 31, 2023
Artificial intelligence in ovarian cancer histopathology: a systematic reviewJack Breen, Katie Allen, Kieran Zucker, et al.
Pageof 2