A quality assurance framework for real-time monitoring of deep learning
segmentation models in radiotherapy

A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy

19 May 2023

Geoffrey D. Hugo

ArXiv (abs)PDF HTML

Papers citing "A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy"

13 / 13 papers shown

Title
Understanding The Robustness in Vision Transformers Daquan Zhou Zhiding Yu Enze Xie Chaowei Xiao Anima Anandkumar Jiashi Feng J. Álvarez ViT 140 191 0 26 Apr 2022
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI Arjun Soin J. Merkow Jin Long Joseph Paul Cohen Smitha Saligrama Stephen Kaiser Steven Borg Ivan Tarapov M. Lungren OOD 90 17 0 06 Feb 2022
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts Chongzhi Zhang Mingyuan Zhang Shanghang Zhang Daisheng Jin Qiang-feng Zhou Zhongang Cai Haiyu Zhao Xianglong Liu Ziwei Liu 67 105 0 14 Jun 2021
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI Peter M. Full Fabian Isensee Paul F. Jäger Klaus Maier-Hein OOD 68 45 0 15 Nov 2020
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation Shuo Wang G. Tarroni C. Qin Yuanhan Mo Chengliang Dai Chen Chen Ben Glocker Yike Guo Daniel Rueckert Wenjia Bai MedIm 61 28 0 23 Jun 2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation Cheng Chen Qi Dou Hao Chen J. Qin Pheng Ann Heng 111 316 0 06 Feb 2020
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study G. Mårtensson D. Ferreira T. Granberg L. Cavallin K. Oppedal ... H. Soininen S. Lovestone A. Simmons D. Aarsland E. Westman OOD 72 137 0 01 Nov 2019
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects Ben Glocker Robert Robinson Daniel Coelho De Castro Qi Dou E. Konukoglu 44 91 0 10 Oct 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift Stephan Rabanser Stephan Günnemann Zachary Chase Lipton 61 370 0 29 Oct 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 120 114 0 02 Jul 2018
Real-time Prediction of Segmentation Quality Robert Robinson Ozan Oktay Wenjia Bai V. Valindria M. Sanghvi ... S. Neubauer S. Petersen Chris Page Daniel Rueckert Ben Glocker 49 55 0 16 Jun 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 230 5,071 0 02 Nov 2017
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013

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