Lauren Oakden-Rayner

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Lyle John PalmerProfessor of Genetic Epidemiology, Adelaide UniversityAdresă de e-mail confirmată pe adelaide.edu.au
Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITAdresă de e-mail confirmată pe mit.edu
Gustavo CarneiroProfessor of AI and Machine Learning, University of SurreyAdresă de e-mail confirmată pe surrey.ac.uk
William GaleMicrosoftAdresă de e-mail confirmată pe microsoft.com
Stephen BacchiRoyal Adelaide HospitalAdresă de e-mail confirmată pe sa.gov.au
Andrew P. BradleyWhipbird SignalsAdresă de e-mail confirmată pe ieee.org
Xiao LiuUniversity Hospitals Birmingham, University of Birmingham, UKAdresă de e-mail confirmată pe bham.ac.uk
Alastair DennistonConsultant Ophthalmologist/Hon Professor, University Hospitals Birmingham/University of BirminghamAdresă de e-mail confirmată pe bham.ac.uk
Andrew L. BeamAssistant Professor, Harvard UniversityAdresă de e-mail confirmată pe hms.harvard.edu
Jacinto C. NascimentoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior TécnicoAdresă de e-mail confirmată pe isr.ist.utl.pt
Jared DunnmonStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Christopher RéComputer Science, Stanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
John ZechNew York Presbyterian - ColumbiaAdresă de e-mail confirmată pe columbia.edu
Amali WeerasingheUniversity of AdelaideAdresă de e-mail confirmată pe adelaide.edu.au
Samuel G. FinlaysonMD-PhD. Pediatrics-Genetics Resident at UW/Seattle Children'sAdresă de e-mail confirmată pe seattlechildrens.org
Melanie CalvertUniversity of BirminghamAdresă de e-mail confirmată pe bham.ac.uk
Samantha Cruz RiveraResearch Fellow, University of BirminghamAdresă de e-mail confirmată pe bham.ac.uk

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Lauren Oakden-Rayner

Alte numeLuke Oakden-Rayner

Australian Institute for Machine Learning. University of Adelaide. Royal Adelaide Hospital.

Adresă de e-mail confirmată pe adelaide.edu.au - Pagina de pornire

Radiology Image Analysis Machine Learning Deep Learning Medical Informatics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension X Liu, SC Rivera, D Moher, MJ Calvert, AK Denniston, H Ashrafian, ... The Lancet Digital Health 2 (10), e537-e548, 2020	625	2020
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert, H Ashrafian, ... The Lancet Digital Health 2 (10), e549-e560, 2020	528	2020
The false hope of current approaches to explainable artificial intelligence in health care M Ghassemi, L Oakden-Rayner, AL Beam The Lancet Digital Health 3 (11), e745-e750, 2021	499	2021
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging L Oakden-Rayner, J Dunnmon, G Carneiro, C Ré Proceedings of the ACM conference on health, inference, and learning, 151-159, 2020	305	2020
Deep learning predicts hip fracture using confounding patient and healthcare variables MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ... NPJ digital medicine 2 (1), 31, 2019	192	2019
AI recognition of patient race in medical imaging: a modelling study JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... The Lancet Digital Health 4 (6), e406-e414, 2022	181	2022
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... Nature medicine 28 (5), 924-933, 2022	161	2022
Precision radiology: predicting longevity using feature engineering and deep learning methods in a radiomics framework L Oakden-Rayner, G Carneiro, T Bessen, JC Nascimento, AP Bradley, ... Scientific reports 7 (1), 1648, 2017	161	2017
Exploring large-scale public medical image datasets L Oakden-Rayner Academic radiology 27 (1), 106-112, 2020	153	2020
A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology J Scheetz, P Rothschild, M McGuinness, X Hadoux, HP Soyer, M Janda, ... Scientific reports 11 (1), 5193, 2021	113	2021
Detecting hip fractures with radiologist-level performance using deep neural networks W Gale, L Oakden-Rayner, G Carneiro, AP Bradley, LJ Palmer arXiv preprint arXiv:1711.06504, 2017	112	2017
The medical algorithmic audit X Liu, B Glocker, MM McCradden, M Ghassemi, AK Denniston, ... The Lancet Digital Health 4 (5), e384-e397, 2022	99	2022
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study JCY Seah, CHM Tang, QD Buchlak, XG Holt, JB Wardman, A Aimoldin, ... The Lancet Digital Health 3 (8), e496-e506, 2021	99	2021
Producing radiologist-quality reports for interpretable deep learning W Gale, L Oakden-Rayner, G Carneiro, LJ Palmer, AP Bradley 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019	75*	2019
Deep learning in the prediction of ischaemic stroke thrombolysis functional outcomes: a pilot study S Bacchi, T Zerner, L Oakden-Rayner, T Kleinig, S Patel, J Jannes Academic radiology 27 (2), e19-e23, 2020	72	2020
Reading race: AI recognises patient's racial identity in medical images I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ... arXiv preprint arXiv:2107.10356, 2021	63	2021
Deep learning natural language processing successfully predicts the cerebrovascular cause of transient ischemic attack-like presentations S Bacchi, L Oakden-Rayner, T Zerner, T Kleinig, S Patel, J Jannes Stroke 50 (3), 758-760, 2019	59	2019
Machine learning in the prediction of medical inpatient length of stay S Bacchi, Y Tan, L Oakden‐Rayner, J Jannes, T Kleinig, S Koblar Internal medicine journal 52 (2), 176-185, 2022	57	2022
Exploring the ChestXray14 dataset: problems L Oakden-Rayner Wordpress: Luke Oakden Rayner 2, 2017	57	2017
The rebirth of CAD: how is modern AI different from the CAD we know? L Oakden-Rayner Radiology: artificial intelligence 1 (3), e180089, 2019	46	2019

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