These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
121 related articles for article (PubMed ID: 34561782)
1. Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network-Corrected Labeling in Magnetic Resonance Imaging-Derived Proton Density Fat Fraction. Cho Y; Kim MJ; Park BJ; Sim KC; Keu YS; Han YE; Sung DJ; Han NY J Digit Imaging; 2021 Oct; 34(5):1225-1236. PubMed ID: 34561782 [TBL] [Abstract][Full Text] [Related]
2. Deep Learning for Inference of Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI: Retrospective Analysis of Population-Based Trial Data. Wang K; Cunha GM; Hasenstab K; Henderson WC; Middleton MS; Cole SA; Umans JG; Ali T; Hsiao A; Sirlin CB AJR Am J Roentgenol; 2023 Nov; 221(5):620-631. PubMed ID: 37466189 [No Abstract] [Full Text] [Related]
3. Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks. Han A; Byra M; Heba E; Andre MP; Erdman JW; Loomba R; Sirlin CB; O'Brien WD Radiology; 2020 May; 295(2):342-350. PubMed ID: 32096706 [TBL] [Abstract][Full Text] [Related]
4. Liver PDFF estimation using a multi-decoder water-fat separation neural network with a reduced number of echoes. Meneses JP; Arrieta C; Della Maggiora G; Besa C; Urbina J; Arrese M; Gana JC; Galgani JE; Tejos C; Uribe S Eur Radiol; 2023 Sep; 33(9):6557-6568. PubMed ID: 37014405 [TBL] [Abstract][Full Text] [Related]
5. MRI-determined liver proton density fat fraction, with MRS validation: Comparison of regions of interest sampling methods in patients with type 2 diabetes. Vu KN; Gilbert G; Chalut M; Chagnon M; Chartrand G; Tang A J Magn Reson Imaging; 2016 May; 43(5):1090-9. PubMed ID: 26536609 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification. Liu M; Vanguri R; Mutasa S; Ha R; Liu YC; Button T; Jambawalikar S Comput Biol Med; 2020 Jul; 122():103798. PubMed ID: 32658724 [TBL] [Abstract][Full Text] [Related]
8. Liver Fat Assessment in Multiview Sonography Using Transfer Learning With Convolutional Neural Networks. Byra M; Han A; Boehringer AS; Zhang YN; O'Brien WD; Erdman JW; Loomba R; Sirlin CB; Andre M J Ultrasound Med; 2022 Jan; 41(1):175-184. PubMed ID: 33749862 [TBL] [Abstract][Full Text] [Related]
9. Automated Whole-Liver MRI Segmentation to Assess Steatosis and Iron Quantification in Chronic Liver Disease. Martí-Aguado D; Jiménez-Pastor A; Alberich-Bayarri Á; Rodríguez-Ortega A; Alfaro-Cervello C; Mestre-Alagarda C; Bauza M; Gallén-Peris A; Valero-Pérez E; Ballester MP; Gimeno-Torres M; Pérez-Girbés A; Benlloch S; Pérez-Rojas J; Puglia V; Ferrández A; Aguilera V; Escudero-García D; Serra MA; Martí-Bonmatí L Radiology; 2022 Feb; 302(2):345-354. PubMed ID: 34783592 [TBL] [Abstract][Full Text] [Related]
10. Precise whole liver automatic segmentation and quantification of PDFF and R2* on MR images. Jimenez-Pastor A; Alberich-Bayarri A; Lopez-Gonzalez R; Marti-Aguado D; França M; Bachmann RSM; Mazzucco J; Marti-Bonmati L Eur Radiol; 2021 Oct; 31(10):7876-7887. PubMed ID: 33768292 [TBL] [Abstract][Full Text] [Related]
11. Automatic segmentation of whole-body adipose tissue from magnetic resonance fat fraction images based on machine learning. Wang Z; Cheng C; Peng H; Qi Y; Wan Q; Zhou H; Qu S; Liang D; Liu X; Zheng H; Zou C MAGMA; 2022 Apr; 35(2):193-203. PubMed ID: 34524564 [TBL] [Abstract][Full Text] [Related]
12. Efficient Segmentation for Left Atrium With Convolution Neural Network Based on Active Learning in Late Gadolinium Enhancement Magnetic Resonance Imaging. Cho Y; Cho H; Shim J; Choi JI; Kim YH; Kim N; Oh YW; Hwang SH J Korean Med Sci; 2022 Sep; 37(36):e271. PubMed ID: 36123960 [TBL] [Abstract][Full Text] [Related]
13. Uncertainty-aware physics-driven deep learning network for free-breathing liver fat and R Shih SF; Kafali SG; Calkins KL; Wu HH Magn Reson Med; 2023 Apr; 89(4):1567-1585. PubMed ID: 36426730 [TBL] [Abstract][Full Text] [Related]
14. Quantitative Ultrasound Radiofrequency Data Analysis for the Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease Using Magnetic Resonance Imaging Proton Density Fat Fraction as the Reference Standard. Jeon SK; Lee JM; Joo I; Park SJ Korean J Radiol; 2021 Jul; 22(7):1077-1086. PubMed ID: 33739636 [TBL] [Abstract][Full Text] [Related]