AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation

5 June 2019

Papers citing "AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation"

7 / 7 papers shown

Title
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation A. Kujawa R. Dorent Sebastien Ourselin Tom Kamiel Magda Vercauteren VLM 21 0 0 16 Apr 2024
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review Juan Miguel Valverde Vandad Imani A. Abdollahzadeh Riccardo De Feo M. Prakash Robert Ciszek Jussi Tohka OOD 6 92 0 02 Feb 2021
Multi-modal segmentation of 3D brain scans using neural networks Jonathan Zopes Moritz Platscher S. Paganucci C. Federau 13 11 0 11 Aug 2020
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging T. Bdair Benedikt Wiestler Nassir Navab Shadi Albarqouni 8 10 0 20 Mar 2020
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation Pierrick Coupé Boris Mansencal Michael Clement Rémi Giraud B. D. D. Senneville T. Thong Vincent Lepetit J. V. Manjón 22 109 0 20 Nov 2019
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline Leonie Henschel Sailesh Conjeti Santiago Estrada K. Diers Bruce Fischl M. Reuter MedIm 28 384 0 09 Oct 2019
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 31 330 0 27 Feb 2017