466 related articles for article (PubMed ID: 31633863)
1. Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks.
Novosad P; Fonov V; Collins DL;
Hum Brain Mapp; 2020 Feb; 41(2):309-327. PubMed ID: 31633863
[TBL] [Abstract][Full Text] [Related]
2. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.
Liu M; Li F; Yan H; Wang K; Ma Y; ; Shen L; Xu M
Neuroimage; 2020 Mar; 208():116459. PubMed ID: 31837471
[TBL] [Abstract][Full Text] [Related]
3. Accurate, rapid and reliable, fully automated MRI brainstem segmentation for application in multiple sclerosis and neurodegenerative diseases.
Sander L; Pezold S; Andermatt S; Amann M; Meier D; Wendebourg MJ; Sinnecker T; Radue EW; Naegelin Y; Granziera C; Kappos L; Wuerfel J; Cattin P; Schlaeger R;
Hum Brain Mapp; 2019 Oct; 40(14):4091-4104. PubMed ID: 31206931
[TBL] [Abstract][Full Text] [Related]
4. QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy.
Guha Roy A; Conjeti S; Navab N; Wachinger C;
Neuroimage; 2019 Feb; 186():713-727. PubMed ID: 30502445
[TBL] [Abstract][Full Text] [Related]
5. DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
Wachinger C; Reuter M; Klein T
Neuroimage; 2018 Apr; 170():434-445. PubMed ID: 28223187
[TBL] [Abstract][Full Text] [Related]
6. CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox.
Yang Z; Zhuang X; Mishra V; Sreenivasan K; Cordes D
Neuroimage; 2020 Sep; 218():116947. PubMed ID: 32474081
[TBL] [Abstract][Full Text] [Related]
7. Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging.
Korte JC; Hardcastle N; Ng SP; Clark B; Kron T; Jackson P
Med Phys; 2021 Dec; 48(12):7757-7772. PubMed ID: 34676555
[TBL] [Abstract][Full Text] [Related]
8. A Robust and Accurate Deep-learning-based Method for the Segmentation of Subcortical Brain: Cross-dataset Evaluation of Generalization Performance.
Furuhashi N; Okuhata S; Kobayashi T
Magn Reson Med Sci; 2021 Jun; 20(2):166-174. PubMed ID: 32389928
[TBL] [Abstract][Full Text] [Related]
9. A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis.
Salem M; Valverde S; Cabezas M; Pareto D; Oliver A; Salvi J; Rovira À; Lladó X
Neuroimage Clin; 2020; 25():102149. PubMed ID: 31918065
[TBL] [Abstract][Full Text] [Related]
10. Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging.
Duong MT; Rudie JD; Wang J; Xie L; Mohan S; Gee JC; Rauschecker AM
AJNR Am J Neuroradiol; 2019 Aug; 40(8):1282-1290. PubMed ID: 31345943
[TBL] [Abstract][Full Text] [Related]
11. Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.
Khalili N; Lessmann N; Turk E; Claessens N; Heus R; Kolk T; Viergever MA; Benders MJNL; Išgum I
Magn Reson Imaging; 2019 Dec; 64():77-89. PubMed ID: 31181246
[TBL] [Abstract][Full Text] [Related]
12. Hippocampal segmentation for brains with extensive atrophy using three-dimensional convolutional neural networks.
Goubran M; Ntiri EE; Akhavein H; Holmes M; Nestor S; Ramirez J; Adamo S; Ozzoude M; Scott C; Gao F; Martel A; Swardfager W; Masellis M; Swartz R; MacIntosh B; Black SE
Hum Brain Mapp; 2020 Feb; 41(2):291-308. PubMed ID: 31609046
[TBL] [Abstract][Full Text] [Related]
13. PSACNN: Pulse sequence adaptive fast whole brain segmentation.
Jog A; Hoopes A; Greve DN; Van Leemput K; Fischl B
Neuroimage; 2019 Oct; 199():553-569. PubMed ID: 31129303
[TBL] [Abstract][Full Text] [Related]
14. High resolution automated labeling of the hippocampus and amygdala using a 3D convolutional neural network trained on whole brain 700 μm isotropic 7T MP2RAGE MRI.
Pardoe HR; Antony AR; Hetherington H; Bagić AI; Shepherd TM; Friedman D; Devinsky O; Pan J
Hum Brain Mapp; 2021 May; 42(7):2089-2098. PubMed ID: 33491831
[TBL] [Abstract][Full Text] [Related]
15. A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images.
Xue Y; Farhat FG; Boukrina O; Barrett AM; Binder JR; Roshan UW; Graves WW
Neuroimage Clin; 2020; 25():102118. PubMed ID: 31865021
[TBL] [Abstract][Full Text] [Related]
16. An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.
Hoseini F; Shahbahrami A; Bayat P
J Digit Imaging; 2018 Oct; 31(5):738-747. PubMed ID: 29488179
[TBL] [Abstract][Full Text] [Related]
17. Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning.
Ataloglou D; Dimou A; Zarpalas D; Daras P
Neuroinformatics; 2019 Oct; 17(4):563-582. PubMed ID: 30877605
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of fully automated myocardial segmentation techniques in native and contrast-enhanced T1-mapping cardiovascular magnetic resonance images using fully convolutional neural networks.
Farrag NA; Lochbihler A; White JA; Ukwatta E
Med Phys; 2021 Jan; 48(1):215-226. PubMed ID: 33131085
[TBL] [Abstract][Full Text] [Related]
19. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.
Pipitone J; Park MT; Winterburn J; Lett TA; Lerch JP; Pruessner JC; Lepage M; Voineskos AN; Chakravarty MM;
Neuroimage; 2014 Nov; 101():494-512. PubMed ID: 24784800
[TBL] [Abstract][Full Text] [Related]
20. 3D hemisphere-based convolutional neural network for whole-brain MRI segmentation.
Yee E; Ma D; Popuri K; Chen S; Lee H; Chow V; Ma C; Wang L; Beg MF; ;
Comput Med Imaging Graph; 2022 Jan; 95():102000. PubMed ID: 34839147
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]