Improving Model's Interpretability and Reliability using Biomarkers

16 February 2024

Papers citing "Improving Model's Interpretability and Reliability using Biomarkers"

6 / 6 papers shown

Title
Learning Generic Lung Ultrasound Biomarkers for Decoupling Feature Extraction from Downstream Tasks Gautam Rajendrakumar Gare Thomas H. Fox P. Lowery K. Zamora H. V. Tran ... Amita Krishnan Deva Ramanan R. Rodriguez Bennett P deBoisblanc J. Galeotti 39 3 0 16 Jun 2022
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection Gautam Rajendrakumar Gare A. Schoenling Vipin Philip H. V. Tran Bennett P deBoisblanc R. Rodriguez J. Galeotti 46 13 0 25 Jan 2022
The Role of Pleura and Adipose in Lung Ultrasound AI Gautam Rajendrakumar Gare Wanwen Chen A. Hung Edward Chen H. V. Tran ... P. Lowery K. Zamora Bennett P deBoisblanc R. Rodriguez J. Galeotti 23 3 0 19 Jan 2022
Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound Gautam Rajendrakumar Gare H. V. Tran Bennett P deBoisblanc R. Rodriguez J. Galeotti 57 5 0 18 Jan 2022
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 264 19,929 0 07 Oct 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 168 3,685 0 10 Jun 2016