$Detecting hip fractures with radiologist-level performance using deep neural networks$

Detecting hip fractures with radiologist-level performance using deep neural networks

17 November 2017

Luke Oakden-Rayner

Papers citing "Detecting hip fractures with radiologist-level performance using deep neural networks"

6 / 6 papers shown

Title
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 33 41 0 05 Mar 2021
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 36 62 0 20 Oct 2020
Ontology-driven weak supervision for clinical entity classification in electronic health records Jason Alan Fries E. Steinberg S. Khattar Scott L. Fleming J. Posada A. Callahan N. Shah 21 72 0 05 Aug 2020
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 21 373 0 27 Sep 2019
Producing radiologist-quality reports for interpretable artificial intelligence William Gale Luke Oakden-Rayner G. Carneiro A. Bradley L. Palmer MedIm 19 46 0 01 Jun 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 19 229 0 15 Apr 2018