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While deep learning (DL) approaches are reaching human-level performance for many tasks, including for diagnostics AI, the focus is now on challenges possibly affecting DL deployment, including AI privacy, domain generalization, and fairness.
Automatic screening of age-related macular degeneration and retinal abnormalities
Philippe Burlina, David E Freund, Bénédicte Dupas, and Neil Bressler · 2011
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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The variational fair autoencoder
Christos Louizos, Kevin Swersky, Yujia Li, Max Welling, and Richard Zemel · 2015
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai · 2016
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky · 2016
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Equality of opportunity in supervised learning
Moritz Hardt, Eric Price, and Nati Srebro · 2016
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Data decisions and theoretical implications when adversarially learning fair representations
Alex Beutel, Jilin Chen, Zhe Zhao, and Ed H Chi · 2017
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Adversarial examples are not easily detected: Bypassing ten detection methods
Nicholas Carlini and David Wagner · 2017
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Membership inference attacks against machine learning models
Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov · 2017
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Infovae: Information maximizing variational autoencoders
Shengjia Zhao, Jiaming Song, and Stefano Ermon · 2017
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Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
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Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Ryan Poplin, Avinash V Varadarajan, Katy Blumer, Yun Liu, Michael V McConnell, Greg S Corrado, Lily Peng, and Dale R Webster · 2018
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Achieving fairness through adversarial learning: an application to recidivism prediction
Christina Wadsworth, Francesca Vera, and Chris Piech · 2018
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Mitigating unwanted biases with adversarial learning
Brian Hu Zhang, Blake Lemoine, and Margaret Mitchell · 2018
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A survey on bias and fairness in machine learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan · 2019
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Deep learning based retinal oct segmentation
Mike Pekala, Neil Joshi, TY Alvin Liu, Neil M Bressler, D Cabrera DeBuc, and Philippe Burlina · 2019
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Discovering fair representations in the data domain
Novi Quadrianto, Viktoriia Sharmanska, and Oliver Thomas · 2019
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Learning controllable fair representations
Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, and Stefano Ermon · 2019
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Addressing artificial intelligence bias in retinal disease diagnostics
Philippe Burlina, Neil Joshi, William Paul, Katia D Pacheco, and Neil M Bressler · 2020
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Assessment of deep generative models for high-resolution synthetic retinal image generation of age-related macular degeneration
Philippe M Burlina, Neil Joshi, Katia D Pacheco, TY Alvin Liu, and Neil M Bressler · 2019
Cited alongside, same era.
Bias correction of learned generative models using likelihood-free importance weighting
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric J Horvitz, and Stefano Ermon · 2019
Cited alongside, same era.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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On the fairness of disentangled representations
Francesco Locatello, Gabriele Abbati, Tom Rainforth, S. Bauer, B. Schölkopf, and Olivier Bachem · 2019
Cited alongside, same era.
Low-shot deep learning of diabetic retinopathy with potential applications to address artificial intelligence bias in retinal diagnostics and rare ophthalmic diseases
Philippe Burlina, William Paul, Philip Mathew, Neil Joshi, Katia D Pacheco, and Neil M Bressler · 2020
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Ai-based detection of erythema migrans and disambiguation against other skin lesions
Philippe M Burlina, Neil J Joshi, Phil A Mathew, William Paul, Alison W Rebman, and John N Aucott · 2020
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Fairness of classifiers across skin tones in dermatology
Newton M Kinyanjui, Timothy Odonga, Celia Cintas, Noel CF Codella, Rameswar Panda, Prasanna Sattigeri, and Kush R Varshney · 2020
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Unsupervised semantic attribute discovery and control in generative models
William Paul, I-Jeng Wang, Fady Alajaji, and Philippe Burlina · 2020
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