Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation

18 June 2022

Papers citing "Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation"

5 / 5 papers shown

Title
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning Pengchen Zhang Alan J.X. Guo Sipin Luo Zhe Han Lin Guo 34 0 0 16 May 2025
Fixing Overconfidence in Dynamic Neural Networks Lassi Meronen Martin Trapp Andrea Pilzer Le Yang Arno Solin BDL 42 16 0 13 Feb 2023
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions Hongkuan Shi Zhiwei Wang Ying Zhou Dun Li Xin Yang Qiang Li 3DV 31 7 0 15 Oct 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 34 152 0 28 Jul 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015