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Benjamin Q. Huynh
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 7
Top Topics
Convolutional Neural Network
Deep Learning
Breast Cancer
Dce Mri
Top Venues
Medical Imaging: Computer-Aided Diagnosis
CoRR
Nat. Mac. Intell.
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Publications
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Benjamin Q. Huynh
,
Elizabeth T. Chin
,
Allison Koenecke
,
Derek Ouyang
,
Daniel E. Ho
,
Mathew V. Kiang
,
David H. Rehkopf
Mitigating allocative tradeoffs and harms in an environmental justice data tool.
Nat. Mac. Intell.
6 (2) (2024)
Benjamin Q. Huynh
,
Elizabeth T. Chin
,
Allison Koenecke
,
Derek Ouyang
,
Daniel E. Ho
,
Mathew V. Kiang
,
David H. Rehkopf
Potential for allocative harm in an environmental justice data tool.
CoRR
(2023)
Benjamin Q. Huynh
,
Mathew V. Kiang
AI for Anticipatory Action: Moving Beyond Climate Forecasting.
CoRR
(2023)
Natasha Antropova
,
Benjamin Q. Huynh
,
Maryellen L. Giger
Recurrent neural networks for breast lesion classification based on DCE-MRIs.
Medical Imaging: Computer-Aided Diagnosis
(2018)
Natasha Antropova
,
Benjamin Q. Huynh
,
Maryellen L. Giger
Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI.
Medical Imaging: Computer-Aided Diagnosis
(2017)
Karen Drukker
,
Benjamin Q. Huynh
,
Maryellen L. Giger
,
Serghei Malkov
,
Jesús I. Ávila
,
Bo Fan
,
Bonnie N. Joe
,
Karla Kerlikowske
,
Jennifer S. Drukteinis
,
Leila Kazemi
,
Malesa M. Pereira
,
John Shepherd
Deep learning and three-compartment breast imaging in breast cancer diagnosis.
Medical Imaging: Computer-Aided Diagnosis
(2017)
Benjamin Q. Huynh
,
Natasha Antropova
,
Maryellen L. Giger
Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning.
Medical Imaging: Computer-Aided Diagnosis
(2017)