Kyle Hasenstab

According to our database, Kyle Hasenstab authored at least 4 papers between 2021 and 2023.

Collaborative distances:

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

2023

Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features.

Kyle Hasenstab, Justin Huynh, Samira Masoudi, Guilherme M. Cunha, Michael J. Pazzani, Albert Hsiao

IEEE Access, 2023

2022

Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers.

Justin Huynh, Samira Masoudi, Abraham Noorbakhsh, Amin Mahmoodi, Seth Kligerman, Andrew Yen, Kathleen Jacobs, Lewis Hahn, Kyle Hasenstab, Michael J. Pazzani, Albert Hsiao

IEEE Access, 2022

Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers.

Justin Huynh, Samira Masoudi, Abraham Noorbakhsh, Kyle Hasenstab, Michael J. Pazzani, Albert Hsiao

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

Estimating Mountain Glacier Flowlines by Local Linear Regression Gradient Descent.

Kristen Hansen, Kyle Hasenstab, Armin Schwartzman

IEEE Trans. Geosci. Remote. Sens., 2021