175 related articles for article (PubMed ID: 35304675)
1. Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI).
Hazarika RA; Maji AK; Syiem R; Sur SN; Kandar D
J Digit Imaging; 2022 Aug; 35(4):893-909. PubMed ID: 35304675
[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. DENSE-INception U-net for medical image segmentation.
Zhang Z; Wu C; Coleman S; Kerr D
Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
[TBL] [Abstract][Full Text] [Related]
4. Deep convolutional neural network for hippocampus segmentation with boundary region refinement.
He G; Zhang G; Zhou L; Zhu H
Med Biol Eng Comput; 2023 Sep; 61(9):2329-2339. PubMed ID: 37067776
[TBL] [Abstract][Full Text] [Related]
5. Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases.
Karimi-Bidhendi S; Arafati A; Cheng AL; Wu Y; Kheradvar A; Jafarkhani H
J Cardiovasc Magn Reson; 2020 Nov; 22(1):80. PubMed ID: 33256762
[TBL] [Abstract][Full Text] [Related]
6. Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer's disease.
Sun J; Yan S; Song C; Han B
Int J Comput Assist Radiol Surg; 2020 Mar; 15(3):445-455. PubMed ID: 31883064
[TBL] [Abstract][Full Text] [Related]
7. RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss.
Chen Y; Yue H; Kuang H; Wang J
Comput Biol Med; 2023 Jun; 160():106953. PubMed ID: 37120987
[TBL] [Abstract][Full Text] [Related]
8. Alzheimer's diagnosis using deep learning in segmenting and classifying 3D brain MR images.
Tuan TA; Pham TB; Kim JY; Tavares JMRS
Int J Neurosci; 2022 Jul; 132(7):689-698. PubMed ID: 33045895
[TBL] [Abstract][Full Text] [Related]
9. Convolutional Neural Networks-Based Framework for Early Identification of Dementia Using MRI of Brain Asymmetry.
Herzog NJ; Magoulas GD
Int J Neural Syst; 2022 Dec; 32(12):2250053. PubMed ID: 36106446
[TBL] [Abstract][Full Text] [Related]
10. Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology.
Rachmadi MF; Valdés-Hernández MDC; Agan MLF; Di Perri C; Komura T;
Comput Med Imaging Graph; 2018 Jun; 66():28-43. PubMed ID: 29523002
[TBL] [Abstract][Full Text] [Related]
11. A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease.
Li F; Liu M;
J Neurosci Methods; 2019 Jul; 323():108-118. PubMed ID: 31132373
[TBL] [Abstract][Full Text] [Related]
12. Automated segmentation of the human supraclavicular fat depot via deep neural network in water-fat separated magnetic resonance images.
Zhao Y; Tang C; Cui B; Somasundaram A; Raspe J; Hu X; Holzapfel C; Junker D; Hauner H; Menze B; Wu M; Karampinos D
Quant Imaging Med Surg; 2023 Jul; 13(7):4699-4715. PubMed ID: 37456284
[TBL] [Abstract][Full Text] [Related]
13. Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture.
Lee B; Yamanakkanavar N; Choi JY
PLoS One; 2020; 15(8):e0236493. PubMed ID: 32745102
[TBL] [Abstract][Full Text] [Related]
14. Fully automated whole brain segmentation from rat MRI scans with a convolutional neural network.
Porter VA; Hobson BA; Foster B; Lein PJ; Chaudhari AJ
J Neurosci Methods; 2024 May; 405():110078. PubMed ID: 38340902
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation.
Dieckhaus H; Meijboom R; Okar S; Wu T; Parvathaneni P; Mina Y; Chandran S; Waldman AD; Reich DS; Nair G
Top Magn Reson Imaging; 2022 Jun; 31(3):31-39. PubMed ID: 35767314
[TBL] [Abstract][Full Text] [Related]
17. SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.
Zhang J; Lv X; Sun Q; Zhang Q; Wei X; Liu B
Curr Med Imaging; 2020; 16(6):720-728. PubMed ID: 32723244
[TBL] [Abstract][Full Text] [Related]
18. Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.
Zotti C; Luo Z; Lalande A; Jodoin PM
IEEE J Biomed Health Inform; 2019 May; 23(3):1119-1128. PubMed ID: 30113903
[TBL] [Abstract][Full Text] [Related]
19. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
Ma J; Wu F; Jiang T; Zhao Q; Kong D
Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
[TBL] [Abstract][Full Text] [Related]
20. The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects.
Balboni E; Nocetti L; Carbone C; Dinsdale N; Genovese M; Guidi G; Malagoli M; Chiari A; Namburete AIL; Jenkinson M; Zamboni G
Hum Brain Mapp; 2022 Aug; 43(11):3427-3438. PubMed ID: 35373881
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
