Scout-Net: Prospective Personalized Estimation of CT Organ Doses from Scout Views

no code implementations • 23 Dec 2023 • Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik Patel, Evan Zucker, Adam Wang

To optimize CT acquisitions before scanning, rapid prediction of patient-specific organ dose is needed prospectively, using available scout images.

The Effect of Counterfactuals on Reading Chest X-rays

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.

counterfactual Counterfactual Explanation

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays

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).

counterfactual

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

1 code implementation • Medicine 2018 • Nicholas Bien, Pranav Rajpurkar, Robyn L. Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Safwan Halabi, Evan Zucker, Gary Fanton, Derek F. Amanatullah, Christopher F. Beaulieu, Geoffrey M. Riley, Russell J. Stewart, Francis G. Blankenberg, David B. Larson, Ricky H. Jones, Curtis P. Langlotz, Andrew Y. Ng, Matthew P. Lungren

Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries.

Multi-Label Classification