CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI

6 February 2022

Papers citing "CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI"

7 / 7 papers shown

Title
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach Firas Bayram Bestoun S. Ahmed OOD 29 0 0 28 Oct 2024
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems Altaf Allah Abbassi Houssem Ben Braiek Foutse Khomh Thomas Reid 21 0 0 13 Sep 2024
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population Mayanka Chandra Shekar Ian Goethert Md Inzamam Ul Haque Benjamin H. McMahon S. Dhaubhadel ... Samah Fodeh-Jarad Olga Ovchinnikova Amy C. Justice Jacob D. Hinkle Ioana Danciu OOD 45 1 0 30 Jul 2024
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control Ghada Zamzmi Kesavan Venkatesh Brandon Nelson Smriti Prathapan Paul H Yi B. Sahiner Jana G. Delfino OOD 11 0 0 12 Feb 2024
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy Xiyao Jin Yao Hao J. Hilliard Zhehao Zhang M. Thomas Hua Li Abhinav K. Jha Geoffrey D. Hugo OOD 8 0 0 19 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 14 2 0 04 May 2023
Automatically detecting data drift in machine learning classifiers Samuel Ackerman Orna Raz Marcel Zalmanovici Aviad Zlotnick 13 34 0 10 Nov 2021