1 code implementation • 2 Apr 2023 • Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew Lungren, Akshay Chaudhari
This study evaluates the effect of counterfactual explanations on the interpretation of chest X-rays.
1 code implementation • 31 Oct 2021 • Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand
TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models.
2 code implementations • 18 Feb 2021 • Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari
We also found that the Latent Shift explanation allows a user to have more confidence in true positive predictions compared to traditional approaches (0. 15$\pm$0. 95 in a 5 point scale with p=0. 01) with only a small increase in false positive predictions (0. 04$\pm$1. 06 with p=0. 57).
no code implementations • 19 Feb 2020 • Mina Amiri, Rupert Brooks, Hassan Rivaz
In this study, we investigated the effect of fine-tuning different layers of a U-Net which was trained on segmentation of natural images in breast ultrasound image segmentation.
9 code implementations • MIDL 2019 • Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand
This large scale study focuses on quantifying what X-rays diagnostic prediction tasks generalize well across multiple different datasets.
no code implementations • 21 Jan 2020 • Bahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz
Ultrasound (US) is one of the most commonly used imaging modalities in both diagnosis and surgical interventions due to its low-cost, safety, and non-invasive characteristic.
no code implementations • 4 Jul 2019 • Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine P. Andriole, Brian Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil A. Tenenholtz
We find that DeepAAA exceeds literature-reported performance of radiologists on incidental AAA detection.