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Alina Jade Barnett
Alina Jade Barnett
Verifierad e-postadress på duke.edu
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This looks like that: deep learning for interpretable image recognition
C Chen, O Li, D Tao, A Barnett, C Rudin, JK Su
Advances in neural information processing systems 32, 2019
11592019
A case-based interpretable deep learning model for classification of mass lesions in digital mammography
AJ Barnett, FR Schwartz, C Tao, C Chen, Y Ren, JY Lo, C Rudin
Nature Machine Intelligence 3 (12), 1061-1070, 2021
120*2021
Deformable protopnet: An interpretable image classifier using deformable prototypes
J Donnelly, AJ Barnett, C Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
982022
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning
AJ Barnett, FR Schwartz, C Tao, C Chen, Y Ren, JY Lo, C Rudin
Deep Learning, Case-Based Reasoning, and AutoML: Present and Future …, 2021
142021
This looks like that: Deep learning for interpretable image recognition. arXiv
C Chen, O Li, C Tao, AJ Barnett, J Su, C Rudin
arXiv preprint arXiv:1806.10574, 2018
112018
AsymMirai: Interpretable Mammography-based Deep Learning Model for 1–5-year Breast Cancer Risk Prediction
J Donnelly, L Moffett, AJ Barnett, H Trivedi, F Schwartz, J Lo, C Rudin
Radiology 310 (3), e232780, 2024
42024
A user interface to communicate interpretable AI decisions to radiologists
YJ Ou, AJ Barnett, A Mitra, FR Schwartz, C Chen, L Grimm, JY Lo, ...
Medical Imaging 2023: Image Perception, Observer Performance, and Technology …, 2023
32023
Interpretable deep learning models for better clinician-AI communication in clinical mammography
AJ Barnett, V Sharma, N Gajjar, J Fang, F Schwartz, C Chen, JY Lo, ...
Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022
32022
Interpretable Machine Learning System to EEG Patterns on the Ictal-Interictal-Injury Continuum
AJ Barnett, Z Guo, J Jing, W Ge, C Rudin, MB Westover
arXiv preprint arXiv:2211.05207, 2022
22022
Mapping the Ictal-Interictal-Injury Continuum Using Interpretable Machine Learning.
AJ Barnett, Z Guo, J Jing, W Ge, C Rudin, MB Westover
arXiv preprint arXiv:2211.05207, 2022
12022
Improving Clinician Performance in Classifying EEG Patterns on the Ictal–Interictal Injury Continuum Using Interpretable Machine Learning
AJ Barnett, Z Guo, J Jing, W Ge, PW Kaplan, WY Kong, I Karakis, ...
NEJM AI 1 (6), AIoa2300331, 2024
2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography
J Yang, AJ Barnett, J Donnelly, S Kishore, J Fang, FR Schwartz, C Chen, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges
D Tang, F Willard, R Tegerdine, L Triplett, J Donnelly, L Moffett, ...
arXiv preprint arXiv:2312.10056, 2023
2023
A user interface to communicate interpretable AI decisions to radiologists (Erratum)
Y Ou, AJ Barnett, A Mitra, FR Schwartz, C Chen, LJ Grimm, JY Lo, ...
Medical Imaging 2023: Image Perception, Observer Performance, and Technology …, 2023
2023
Interpretable Machine Learning With Medical Applications
AJ Barnett
Duke University, 2023
2023
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes (Supplement)
J Donnelly, AJ Barnett, C Chen
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Artiklar 1–16