179 related articles for article (PubMed ID: 36799341)
1. Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor, and Multi-disease Study.
Astley JR; Biancardi AM; Hughes PJC; Marshall H; Collier GJ; Chan HF; Saunders LC; Smith LJ; Brook ML; Thompson R; Rowland-Jones S; Skeoch S; Bianchi SM; Hatton MQ; Rahman NM; Ho LP; Brightling CE; Wain LV; Singapuri A; Evans RA; Moss AJ; McCann GP; Neubauer S; Raman B; ; Wild JM; Tahir BA
J Magn Reson Imaging; 2023 Oct; 58(4):1030-1044. PubMed ID: 36799341
[TBL] [Abstract][Full Text] [Related]
2. A Dual-Channel Deep Learning Approach for Lung Cavity Estimation From Hyperpolarized Gas and Proton MRI.
Astley JR; Biancardi AM; Marshall H; Hughes PJC; Collier GJ; Smith LJ; Eaden JA; Hughes R; Wild JM; Tahir BA
J Magn Reson Imaging; 2023 Jun; 57(6):1878-1890. PubMed ID: 36373828
[TBL] [Abstract][Full Text] [Related]
3. Segmentation of the Aorta and Pulmonary Arteries Based on 4D Flow MRI in the Pediatric Setting Using Fully Automated Multi-Site, Multi-Vendor, and Multi-Label Dense U-Net.
Fujiwara T; Berhane H; Scott MB; Englund EK; Schäfer M; Fonseca B; Berthusen A; Robinson JD; Rigsby CK; Browne LP; Markl M; Barker AJ
J Magn Reson Imaging; 2022 Jun; 55(6):1666-1680. PubMed ID: 34792835
[TBL] [Abstract][Full Text] [Related]
4. Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI.
Astley JR; Biancardi AM; Hughes PJC; Marshall H; Smith LJ; Collier GJ; Eaden JA; Weatherley ND; Hatton MQ; Wild JM; Tahir BA
Sci Rep; 2022 Jun; 12(1):10566. PubMed ID: 35732795
[TBL] [Abstract][Full Text] [Related]
5. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.
Fashandi H; Kuling G; Lu Y; Wu H; Martel AL
Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062
[TBL] [Abstract][Full Text] [Related]
6. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
[TBL] [Abstract][Full Text] [Related]
7. Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI.
Zha W; Fain SB; Schiebler ML; Evans MD; Nagle SK; Liu F
J Magn Reson Imaging; 2019 Oct; 50(4):1169-1181. PubMed ID: 30945385
[TBL] [Abstract][Full Text] [Related]
8. Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.
Lavdas I; Glocker B; Kamnitsas K; Rueckert D; Mair H; Sandhu A; Taylor SA; Aboagye EO; Rockall AG
Med Phys; 2017 Oct; 44(10):5210-5220. PubMed ID: 28756622
[TBL] [Abstract][Full Text] [Related]
9. Automatic Time-Resolved Cardiovascular Segmentation of 4D Flow MRI Using Deep Learning.
Bustamante M; Viola F; Engvall J; Carlhäll CJ; Ebbers T
J Magn Reson Imaging; 2023 Jan; 57(1):191-203. PubMed ID: 35506525
[TBL] [Abstract][Full Text] [Related]
10. Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI.
Rahimpour M; Saint Martin MJ; Frouin F; Akl P; Orlhac F; Koole M; Malhaire C
Eur Radiol; 2023 Feb; 33(2):959-969. PubMed ID: 36074262
[TBL] [Abstract][Full Text] [Related]
11. The Impact of Fatty Infiltration on MRI Segmentation of Lower Limb Muscles in Neuromuscular Diseases: A Comparative Study of Deep Learning Approaches.
Hostin MA; Ogier AC; Michel CP; Le Fur Y; Guye M; Attarian S; Fortanier E; Bellemare ME; Bendahan D
J Magn Reson Imaging; 2023 Dec; 58(6):1826-1835. PubMed ID: 37025028
[TBL] [Abstract][Full Text] [Related]
12. Comparing lesion segmentation methods in multiple sclerosis: Input from one manually delineated subject is sufficient for accurate lesion segmentation.
Weeda MM; Brouwer I; de Vos ML; de Vries MS; Barkhof F; Pouwels PJW; Vrenken H
Neuroimage Clin; 2019; 24():102074. PubMed ID: 31734527
[TBL] [Abstract][Full Text] [Related]
13. Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks.
Said D; Carbonell G; Stocker D; Hectors S; Vietti-Violi N; Bane O; Chin X; Schwartz M; Tabrizian P; Lewis S; Greenspan H; Jégou S; Schiratti JB; Jehanno P; Taouli B
Eur Radiol; 2023 Sep; 33(9):6020-6032. PubMed ID: 37071167
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times.
Weng AM; Heidenreich JF; Metz C; Veldhoen S; Bley TA; Wech T
BMC Med Imaging; 2021 May; 21(1):79. PubMed ID: 33964892
[TBL] [Abstract][Full Text] [Related]
15. Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning.
Kang H; Witanto JN; Pratama K; Lee D; Choi KS; Choi SH; Kim KM; Kim MS; Kim JW; Kim YH; Park SJ; Park CK
J Magn Reson Imaging; 2023 Mar; 57(3):871-881. PubMed ID: 35775971
[TBL] [Abstract][Full Text] [Related]
16. Deep learning-based ultrasound auto-segmentation of the prostate with brachytherapy implanted needles.
Hampole P; Harding T; Gillies D; Orlando N; Edirisinghe C; Mendez LC; D'Souza D; Velker V; Correa R; Helou J; Xing S; Fenster A; Hoover DA
Med Phys; 2024 Apr; 51(4):2665-2677. PubMed ID: 37888789
[TBL] [Abstract][Full Text] [Related]
17. A hybrid model- and deep learning-based framework for functional lung image synthesis from multi-inflation CT and hyperpolarized gas MRI.
Astley JR; Biancardi AM; Marshall H; Hughes PJC; Collier GJ; Hatton MQ; Wild JM; Tahir BA
Med Phys; 2023 Sep; 50(9):5657-5670. PubMed ID: 36932692
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI.
Liu Y; Zabihollahy F; Yan R; Lee B; Janzen C; Devaskar SU; Sung K
J Magn Reson Imaging; 2023 May; 57(5):1533-1540. PubMed ID: 37021577
[TBL] [Abstract][Full Text] [Related]
19. Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
Tang X; Jafargholi Rangraz E; Coudyzer W; Bertels J; Robben D; Schramm G; Deckers W; Maleux G; Baete K; Verslype C; Gooding MJ; Deroose CM; Nuyts J
Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2742-2752. PubMed ID: 32314026
[TBL] [Abstract][Full Text] [Related]
20. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
Burton W; Myers C; Rullkoetter P
Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
