134 related articles for article (PubMed ID: 37795138)
1. Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans.
Akinci D'Antonoli T; Todea RA; Leu N; Datta AN; Stieltjes B; Pruefer F; Wasserthal J
Radiol Artif Intell; 2023 Sep; 5(5):e220292. PubMed ID: 37795138
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.
Chen JV; Chaudhari G; Hess CP; Glenn OA; Sugrue LP; Rauschecker AM; Li Y
Radiology; 2022 Dec; 305(3):678-687. PubMed ID: 35852429
[TBL] [Abstract][Full Text] [Related]
3. MRI-based Identification and Classification of Major Intracranial Tumor Types by Using a 3D Convolutional Neural Network: A Retrospective Multi-institutional Analysis.
Chakrabarty S; Sotiras A; Milchenko M; LaMontagne P; Hileman M; Marcus D
Radiol Artif Intell; 2021 Sep; 3(5):e200301. PubMed ID: 34617029
[TBL] [Abstract][Full Text] [Related]
4. Deep learning-based convolutional neural network for intramodality brain MRI synthesis.
Osman AFI; Tamam NM
J Appl Clin Med Phys; 2022 Apr; 23(4):e13530. PubMed ID: 35044073
[TBL] [Abstract][Full Text] [Related]
5. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning Model for Automated Detection and Classification of Central Canal, Lateral Recess, and Neural Foraminal Stenosis at Lumbar Spine MRI.
Hallinan JTPD; Zhu L; Yang K; Makmur A; Algazwi DAR; Thian YL; Lau S; Choo YS; Eide SE; Yap QV; Chan YH; Tan JH; Kumar N; Ooi BC; Yoshioka H; Quek ST
Radiology; 2021 Jul; 300(1):130-138. PubMed ID: 33973835
[TBL] [Abstract][Full Text] [Related]
7. Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans.
Hirsch L; Huang Y; Luo S; Rossi Saccarelli C; Lo Gullo R; Daimiel Naranjo I; Bitencourt AGV; Onishi N; Ko ES; Leithner D; Avendano D; Eskreis-Winkler S; Hughes M; Martinez DF; Pinker K; Juluru K; El-Rowmeim AE; Elnajjar P; Morris EA; Makse HA; Parra LC; Sutton EJ
Radiol Artif Intell; 2022 Jan; 4(1):e200231. PubMed ID: 35146431
[TBL] [Abstract][Full Text] [Related]
8. Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels.
Kim PH; Yoon HM; Kim JR; Hwang JY; Choi JH; Hwang J; Lee J; Sung J; Jung KH; Bae B; Jung AY; Cho YA; Shim WH; Bak B; Lee JS
Korean J Radiol; 2023 Nov; 24(11):1151-1163. PubMed ID: 37899524
[TBL] [Abstract][Full Text] [Related]
9. Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks.
Calabrese E; Rudie JD; Rauschecker AM; Villanueva-Meyer JE; Cha S
Radiol Artif Intell; 2021 Sep; 3(5):e200276. PubMed ID: 34617027
[TBL] [Abstract][Full Text] [Related]
10. Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model.
Saha S; Pagnozzi A; Bourgeat P; George JM; Bradford D; Colditz PB; Boyd RN; Rose SE; Fripp J; Pannek K
Neuroimage; 2020 Jul; 215():116807. PubMed ID: 32278897
[TBL] [Abstract][Full Text] [Related]
11. A deep learning model for brain age prediction using minimally preprocessed T1w images as input.
Dartora C; Marseglia A; Mårtensson G; Rukh G; Dang J; Muehlboeck JS; Wahlund LO; Moreno R; Barroso J; Ferreira D; Schiöth HB; Westman E; ; ; ;
Front Aging Neurosci; 2023; 15():1303036. PubMed ID: 38259636
[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. Deep Learning-based Detection of Intravenous Contrast Enhancement on CT Scans.
Ye Z; Qian JM; Hosny A; Zeleznik R; Plana D; Likitlersuang J; Zhang Z; Mak RH; Aerts HJWL; Kann BH
Radiol Artif Intell; 2022 May; 4(3):e210285. PubMed ID: 35652117
[TBL] [Abstract][Full Text] [Related]
14. Automatic Segmentation of Diffuse White Matter Abnormality on T2-weighted Brain MR Images Using Deep Learning in Very Preterm Infants.
Li H; Chen M; Wang J; Illapani VSP; Parikh NA; He L
Radiol Artif Intell; 2021 May; 3(3):e200166. PubMed ID: 34142089
[TBL] [Abstract][Full Text] [Related]
15. MR-based synthetic CT generation using a deep convolutional neural network method.
Han X
Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
[TBL] [Abstract][Full Text] [Related]
16. Automated Tumor Segmentation and Brain Tissue Extraction from Multiparametric MRI of Pediatric Brain Tumors: A Multi-Institutional Study.
Kazerooni AF; Arif S; Madhogarhia R; Khalili N; Haldar D; Bagheri S; Familiar AM; Anderson H; Haldar S; Tu W; Kim MC; Viswanathan K; Muller S; Prados M; Kline C; Vidal L; Aboian M; Storm PB; Resnick AC; Ware JB; Vossough A; Davatzikos C; Nabavizadeh A
medRxiv; 2023 Jan; ():. PubMed ID: 36711966
[TBL] [Abstract][Full Text] [Related]
17. Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI.
Baur C; Wiestler B; Muehlau M; Zimmer C; Navab N; Albarqouni S
Radiol Artif Intell; 2021 May; 3(3):e190169. PubMed ID: 34136814
[TBL] [Abstract][Full Text] [Related]
18. Deep transfer learning-based fully automated detection and classification of Alzheimer's disease on brain MRI.
Ghaffari H; Tavakoli H; Pirzad Jahromi G
Br J Radiol; 2022 Aug; 95(1136):20211253. PubMed ID: 35616643
[TBL] [Abstract][Full Text] [Related]
19. Influence of Data Distribution on Federated Learning Performance in Tumor Segmentation.
Luo G; Liu T; Lu J; Chen X; Yu L; Wu J; Chen DZ; Cai W
Radiol Artif Intell; 2023 May; 5(3):e220082. PubMed ID: 37293342
[TBL] [Abstract][Full Text] [Related]
20. Automation of a Rule-based Workflow to Estimate Age from Brain MR Imaging of Infants and Children Up to 2 Years Old Using Stacked Deep Learning.
Wada A; Saito Y; Fujita S; Irie R; Akashi T; Sano K; Kato S; Ikenouchi Y; Hagiwara A; Sato K; Tomizawa N; Hayakawa Y; Kikuta J; Kamagata K; Suzuki M; Hori M; Nakanishi A; Aoki S
Magn Reson Med Sci; 2023 Jan; 22(1):57-66. PubMed ID: 34897147
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
