Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy

1 November 2021

Papers citing "Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy"

6 / 6 papers shown

Title
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images Zijie Chen Cheng Li Junjun He Jin Ye Diping Song Shanshan Wang Lixu Gu Yu Qiao 52 9 0 26 Sep 2021
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search Dazhou Guo D. Jin Zhuotun Zhu T. Ho Adam P. Harrison Chun-Hung Chao Jing Xiao Alan Yuille Chien-Yu Lin Le Lu 59 59 0 17 Apr 2020
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy Wentao Zhu Yufang Huang Liang Zeng Xuming Chen Yong Liu Zhen Qian Nan Du Wei Fan Xiaohui Xie SSeg 3DPC 45 437 0 15 Aug 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation Saeid Asgari Taghanaki Yefeng Zheng S. Kevin Zhou Bogdan Georgescu Puneet Sharma Daguang Xu Dorin Comaniciu Ghassan Hamarneh 79 336 0 08 May 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,802 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015