Benjamin Q. Huynh

According to our database, Benjamin Q. Huynh authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mitigating allocative tradeoffs and harms in an environmental justice data tool.

Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf

Nat. Mac. Intell., 2024

2023

AI for Anticipatory Action: Moving Beyond Climate Forecasting.

Benjamin Q. Huynh, Mathew V. Kiang

CoRR, 2023

Potential for allocative harm in an environmental justice data tool.

Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf

CoRR, 2023

2018

Recurrent neural networks for breast lesion classification based on DCE-MRIs.

Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning.

Benjamin Q. Huynh, Natasha Antropova, Maryellen L. Giger

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Deep learning and three-compartment breast imaging in breast cancer diagnosis.

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI.

Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017