Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

11 February 2017

V. Valindria

I. Lavdas

Wenjia Bai

Konstantinos Kamnitsas

Papers citing "Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth"

27 / 27 papers shown

Title
Mask of truth: model sensitivity to unexpected regions of medical images Théo Sourget Michelle Hestbek-Møller Amelia Jiménez-Sánchez Jack Junchi Xu V. Cheplygina AAML 87 0 0 05 Dec 2024
RAISE -- Radiology AI Safety, an End-to-end lifecycle approach M. Jorge Cardoso Julia Moosbauer Tessa S. Cook B. S. Erdal Brad W. Genereaux ... Elanchezhian Somasundaram Ronald M. Summers Khaled Younis Sebastien Ourselin Franz MJ Pfister 24 1 0 24 Nov 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images Nicolás Gaggion Candelaria Mosquera Lucas Mansilla Julia Mariel Saidman M. Aineseder Diego H. Milone Enzo Ferrante 18 19 0 06 Jul 2023
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation F. Uslu Anil A. Bharath 39 14 0 21 Dec 2022
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets Benjamin Billot C. Magdamo You Cheng S. Arnold Sudeshna Das Juan Eugenio Iglesias 24 98 0 05 Sep 2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Jiamin Liang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Isabel Kaltenborn Dong Ni OOD 31 42 0 05 Aug 2022
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores Zeju Li Konstantinos Kamnitsas Mobarakol Islam Chen Chen Ben Glocker 30 9 0 20 Jul 2022
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings Florian Kofler Ivan Ezhov Lucas Fidon Izabela Horvath Ezequiel de la Rosa ... Jan Kirschke Tom Kamiel Magda Vercauteren C. Zimmer Benedikt Wiestler Bjoern H. Menze 22 5 0 17 May 2022
Quality monitoring of federated Covid-19 lesion segmentation Camila González Christian Harder Amin Ranem Ricarda Fischbach Isabel Kaltenborn Armin Dadras A. Bucher Anirban Mukhopadhyay OOD 29 0 0 16 Dec 2021
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows Elena Williams Sebastian Niehaus J. Reinelt A. Merola P. Mihai ... Evelyn Medawar Daniel Lichterfeld Ingo Roeder N. Scherf Maria del C. Valdés Hernández 26 3 0 06 Dec 2021
FSNet: A Failure Detection Framework for Semantic Segmentation Q. Rahman Niko Sünderhauf Peter Corke Feras Dayoub UQCV SSeg 35 20 0 19 Aug 2021
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation Francesco Galati Maria A. Zuluaga 11 15 0 12 Apr 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 36 53 0 09 Mar 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 42 51 0 05 Jan 2021
Automatic segmentation with detection of local segmentation failures in cardiac MRI Jörg Sander B. D. de Vos Ivana Išgum 20 50 0 13 Nov 2020
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction Zhenxi Zhang Chunna Tian Jiyang Li Zhusi Zhong Zhicheng Jiao Xinbo Gao MedIm 22 9 0 25 Jun 2020
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation Shuo Wang G. Tarroni C. Qin Yuanhan Mo Chengliang Dai Chia-Ju Chen Ben Glocker Yike Guo Daniel Rueckert Wenjia Bai MedIm 23 28 0 23 Jun 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks Davood Karimi Simon K. Warfield Ali Gholipour MedIm 16 19 0 30 May 2020
Learning Deformable Registration of Medical Images with Anatomical Constraints Lucas Mansilla Diego H. Milone Enzo Ferrante MedIm 27 81 0 20 Jan 2020
A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation Rongzhao Zhang Albert C. S. Chung 14 9 0 29 Jul 2019
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling Yuta Hiasa Y. Otake Masaki Takao Takeshi Ogawa Nobuhiko Sugano Yoshinobu Sato 21 109 0 21 Jul 2019
Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples Jeffery Kinnison Mateusz Trokielewicz Camila Carballo A. Czajka Walter J. Scheirer CVBM 22 14 0 06 Jan 2019
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation Ryan Sherman 27 4 0 27 Oct 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 20 114 0 02 Jul 2018
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger UQCV 19 87 0 19 Apr 2018
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis E. Pellegrini L. Ballerini M. V. Valdés Hernández F. Chappell V. González-Castro ... C. Pernet Grant Mair Tom J. MacGillivray Emanuele Trucco Joanna M. Wardlaw 14 10 0 05 Apr 2018
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation Yuanhan Mo Fangde Liu Douglas McIlwraith Guang Yang Jingqing Zhang T. He Yike Guo 27 2 0 27 Mar 2017