Ensembling Low Precision Models for Binary Biomedical Image Segmentation

Ensembling Low Precision Models for Binary Biomedical Image Segmentation

16 October 2020

Hang Zhang

Thanh D. Nguyen

Yi Wang

Papers citing "Ensembling Low Precision Models for Binary Biomedical Image Segmentation"

6 / 6 papers shown

Title
Volumetric landmark detection with a multi-scale shift equivariant neural network Tianyu Ma Ajay Gupta M. Sabuncu 3DPC 39 17 0 03 Mar 2020
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation Hang Zhang Jinwei Zhang Qihao Zhang Jeremy Kim Shun Zhang S. Gauthier P. Spincemaille Thanh D. Nguyen M. Sabuncu Yi Wang MedIm 33 25 0 27 Feb 2020
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation S. Aslani Michael Dayan Stéphane Doncieux Massimo Filippi Vittorio Murino Maria A Rocca Diego Sona 43 145 0 07 Nov 2018
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images Hongwei Bran Li Gongfa Jiang Jianguo Zhang Ruixuan Wang Zhaolei Wang Weishi Zheng Bjoern Menze 59 193 0 14 Feb 2018
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach Sergi Valverde Mariano Cabezas E. Roura Sandra González-Villá D. Pareto J. Vilanova L. Ramió-Torrentá À. Rovira A. Oliver Xavier Llado 35 352 0 16 Feb 2017
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses Christian Rupprecht Iro Laina R. DiPietro Maximilian Baust Federico Tombari Nassir Navab Gregory D. Hager 52 184 0 01 Dec 2016