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3356: Impact of biased models in the context of fairness towards patients, and how to avoid or minimise biases in our datasets

Radiotherapy and oncology, 2024-05, Vol.194, p.S46-S46

Koyejo, Sanmi

2024

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Max-Sliced Wasserstein Distance and Its Use for GANs

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.10640-10648

2019

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Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography

Journal of the American College of Radiology, 2022-01, Vol.19 (1), p.184-191

2022

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Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Nature communications, 2024-06, Vol.15 (1), p.4817-1

2024

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Single-Trial Detection and Classification of Event-Related Optical Signals for a Brain-Computer Interface Application

Bioengineering (Basel), 2024-08, Vol.11 (8), p.781

2024

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Fast Optical Signals for Real-Time Retinotopy and Brain Computer Interface

Bioengineering (Basel), 2023-05, Vol.10 (5), p.553

2023

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Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

PLOS digital health, 2022-08, Vol.1 (8), p.e0000057-e0000057

2022

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Latent Multimodal Functional Graphical Model Estimation

Journal of the American Statistical Association, 2024-07, Vol.119 (547), p.2217-2229

2024

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Bridging gaps in automated acute myocardial infarction detection between high-income and low-income countries

PLOS global public health, 2024, Vol.4 (6), p.e0003240

2024

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Advances and Open Problems in Federated Learning

Foundations and trends in machine learning, 2021-01, Vol.14 (1–2), p.1-210

2021

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Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

Journal of medical imaging (Bellingham, Wash.), 2023-11, Vol.10 (6), p.061104-061104

2023

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Towards Fault-Tolerant Federated and Distributed Machine Learning

Proceedings of the AAAI Symposium Series, 2024-05, Vol.3 (1), p.306-306

Koyejo, Sanmi

2024

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Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Nature communications, 2023-07, Vol.14 (1), p.4039-12, Article 4039

2023

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Deep Learning–Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility Study

Academic radiology, 2023-04, Vol.30 (4), p.739-748

2023

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Increasing the presence of BIPOC researchers in computational science

Nature Computational Science, 2024-09, Vol.4 (9), p.646-653

2024

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Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging

2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019, p.1192-1196

2019

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Publisher Correction: Increasing the presence of BIPOC researchers in computational science

Nature Computational Science, 2024-10, Vol.4 (10), p.798-798

2024

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Towards Trustworthy Large Language Models

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024, p.1126-1127

2024

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Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons

Journal of medical imaging (Bellingham, Wash.), 2023-11, Vol.10 (6), p.61105-61105

2023

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Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

PLOS digital health, 2022-08, Vol.1 (8)

2022

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Some New Tricks for Deep Glioma Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021, Vol.12659, p.320-330

2021

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A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure

Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020, Vol.12265, p.257-266

2020

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Controllable Radiance Fields for Dynamic Face Synthesis

2022 International Conference on 3D Vision (3DV), 2022, p.1-11

2022

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Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023, p.1511-1525

2023

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The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa

Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2024, p.1-24

2024

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3356: Impact of biased models in the context of fairness towards patients, and how to avoid or minimise biases in our datasets

Max-Sliced Wasserstein Distance and Its Use for GANs

Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography

Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Single-Trial Detection and Classification of Event-Related Optical Signals for a Brain-Computer Interface Application

Fast Optical Signals for Real-Time Retinotopy and Brain Computer Interface

Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

Latent Multimodal Functional Graphical Model Estimation

Bridging gaps in automated acute myocardial infarction detection between high-income and low-income countries

Advances and Open Problems in Federated Learning

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

Towards Fault-Tolerant Federated and Distributed Machine Learning

Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Deep Learning–Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility Study

Increasing the presence of BIPOC researchers in computational science

Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging

Publisher Correction: Increasing the presence of BIPOC researchers in computational science

Towards Trustworthy Large Language Models

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons

Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

Some New Tricks for Deep Glioma Segmentation

A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure

Controllable Radiance Fields for Dynamic Face Synthesis

Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa

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