Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice

3 February 2021

Papers citing "Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice"

7 / 7 papers shown

Title
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 28 27 0 11 Jan 2024
A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs V. Kulkarni S. Pawale A. Kharat 8 12 0 19 Feb 2022
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 168 323 0 19 Mar 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 31 368 0 21 Jan 2020
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks D. Gopinath Guy Katz C. Păsăreanu Clark W. Barrett AAML 42 87 0 02 Oct 2017
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 60 163 0 08 Jul 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 222 1,818 0 03 Feb 2017