Concepedia
Statistics
Publications
7
Citations
1.1K
H-Index
Active since
2018
Affiliations
Duke University(Current)
Massachusetts Institute of Technology
University of Maine
Alina Jade Barnett is an author at Duke University specializing in data science, engineering, and medical image computing.
Top concepts
EngineeringData ScienceDeep LearningImage AnalysisMachine LearningMedical Image ComputingComputer VisionInterpretabilityPattern RecognitionRadiology
Publications per year
2018–2024
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Chaofan Tao et al. · arXiv (Cornell University) · 2018 · 563 citations · Full text
Few-shot Learning, Convolutional Neural Network, Engineering +17
Chaofan Chen, Oscar Li, Xiaohui Tao et al. · Neural Information Processing Systems · 2019 · 203 citations
A case-based interpretable deep learning model for classification of mass lesions in digital mammography
Alina Jade Barnett, Fides R. Schwartz, Chaofan Tao et al. · Nature Machine Intelligence · 2021 · 138 citations
Image Analysis, Machine Learning, Medical Imaging +14
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
Jon Donnelly, Alina Jade Barnett, Chaofan Chen · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 100 citations
AsymMirai: Interpretable Mammography-based Deep Learning Model for 1–5-year Breast Cancer Risk Prediction
Jon Donnelly, Luke Moffett, Alina Jade Barnett et al. · Radiology · 2024 · 35 citations
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