Diminishing Uncertainty within the Training Pool: Active Learning for
Medical Image Segmentation

Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation

7 January 2021

Bennett A. Landman

Papers citing "Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation"

10 / 10 papers shown

Title
Correlation-aware active learning for surgery video segmentation Fei Wu Pablo Márquez-Neila Mingyi Zheng Hedyeh Rafii-Tari Raphael Sznitman 31 3 0 15 Nov 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 41 20 0 09 Oct 2023
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities Ganping Li Yoshito Otake Mazen Soufi M. Taniguchi Masahide Yagi N. Ichihashi Keisuke Uemura Masaki Takao Nobuhiko Sugano Yoshinobu Sato 29 3 0 26 Jul 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation Mélanie Gaillochet Christian Desrosiers H. Lombaert 19 11 0 16 Jan 2023
$Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning$ Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning V. Nath Dong Yang H. Roth Daguang Xu 41 25 0 13 Sep 2022
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 32 41 0 07 Jul 2021
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation Jose Dolz Christian Desrosiers Li Wang Jing Yuan D. Shen Ismail Ben Ayed 3DV 45 113 0 14 Dec 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015