1 code implementation • 1 Nov 2023 • Adrian Celaya, Keegan Kirk, David Fuentes, Beatrice Riviere
In recent years, there has been a growing interest in leveraging deep learning and neural networks to address scientific problems, particularly in solving partial differential equations (PDEs).
1 code implementation • 5 Apr 2023 • Adrian Celaya, Beatrice Riviere, David Fuentes
Accurate medical imaging segmentation is critical for precise and effective medical interventions.
1 code implementation • 8 Feb 2023 • Adrian Celaya, Beatrice Riviere, David Fuentes
Within medical imaging segmentation, the Dice coefficient and Hausdorff-based metrics are standard measures of success for deep learning models.
2 code implementations • 21 Apr 2021 • Adrian Celaya, Jonas A. Actor, Rajarajeswari Muthusivarajan, Evan Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes
Medical imaging deep learning models are often large and complex, requiring specialized hardware to train and evaluate these models.