629 related articles for article (PubMed ID: 37456284)
1. 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]
2. 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]
3. Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi-planar U-Net (CMPU-Net).
Zabihollahy F; Rajchl M; White JA; Ukwatta E
Med Phys; 2020 Apr; 47(4):1645-1655. PubMed ID: 31955415
[TBL] [Abstract][Full Text] [Related]
4. U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging.
Douglas L; Bhattacharjee R; Fuhrman J; Drukker K; Hu Q; Edwards A; Sheth D; Giger M
J Med Imaging (Bellingham); 2023 Nov; 10(6):064502. PubMed ID: 37990686
[TBL] [Abstract][Full Text] [Related]
5. Automatic segmentation of human supraclavicular adipose tissue using high-resolution T2-weighted magnetic resonance imaging.
Wu B; Cheng C; Qi Y; Zhou H; Peng H; Wan Q; Liu X; Zheng H; Zhang H; Zou C
MAGMA; 2023 Aug; 36(4):641-649. PubMed ID: 36538249
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
[TBL] [Abstract][Full Text] [Related]
8. Study of multistep Dense U-Net-based automatic segmentation for head MRI scans.
Gi Y; Oh G; Jo Y; Lim H; Ko Y; Hong J; Lee E; Park S; Kwak T; Kim S; Yoon M
Med Phys; 2024 Mar; 51(3):2230-2238. PubMed ID: 37956307
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Using deep learning to segment breast and fibroglandular tissue in MRI volumes.
Dalmış MU; Litjens G; Holland K; Setio A; Mann R; Karssemeijer N; Gubern-Mérida A
Med Phys; 2017 Feb; 44(2):533-546. PubMed ID: 28035663
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A 3D-2D Hybrid U-Net Convolutional Neural Network Approach to Prostate Organ Segmentation of Multiparametric MRI.
Ushinsky A; Bardis M; Glavis-Bloom J; Uchio E; Chantaduly C; Nguyentat M; Chow D; Chang PD; Houshyar R
AJR Am J Roentgenol; 2021 Jan; 216(1):111-116. PubMed ID: 32812797
[TBL] [Abstract][Full Text] [Related]
13. Three-dimensional Deep Convolutional Neural Networks for Automated Myocardial Scar Quantification in Hypertrophic Cardiomyopathy: A Multicenter Multivendor Study.
Fahmy AS; Neisius U; Chan RH; Rowin EJ; Manning WJ; Maron MS; Nezafat R
Radiology; 2020 Jan; 294(1):52-60. PubMed ID: 31714190
[TBL] [Abstract][Full Text] [Related]
14. Automatic upper airway segmentation in static and dynamic MRI via anatomy-guided convolutional neural networks.
Xie L; Udupa JK; Tong Y; Torigian DA; Huang Z; Kogan RM; Wootton D; Choy KR; Sin S; Wagshul ME; Arens R
Med Phys; 2022 Jan; 49(1):324-342. PubMed ID: 34773260
[TBL] [Abstract][Full Text] [Related]
15. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
16. Automated segmentation of human cervical-supraclavicular adipose tissue in magnetic resonance images.
Lundström E; Strand R; Forslund A; Bergsten P; Weghuber D; Ahlström H; Kullberg J
Sci Rep; 2017 Jun; 7(1):3064. PubMed ID: 28596551
[TBL] [Abstract][Full Text] [Related]
17. Automated segmentation of kidney and renal mass and automated detection of renal mass in CT urography using 3D U-Net-based deep convolutional neural network.
Lin Z; Cui Y; Liu J; Sun Z; Ma S; Zhang X; Wang X
Eur Radiol; 2021 Jul; 31(7):5021-5031. PubMed ID: 33439313
[TBL] [Abstract][Full Text] [Related]
18. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
[TBL] [Abstract][Full Text] [Related]
19. Automated 3D U-net based segmentation of neonatal cerebral ventricles from 3D ultrasound images.
Szentimrey Z; de Ribaupierre S; Fenster A; Ukwatta E
Med Phys; 2022 Feb; 49(2):1034-1046. PubMed ID: 34958147
[TBL] [Abstract][Full Text] [Related]
20. Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks.
Jimenez-Pastor A; Lopez-Gonzalez R; Fos-Guarinos B; Garcia-Castro F; Wittenberg M; Torregrosa-Andrés A; Marti-Bonmati L; Garcia-Fontes M; Duarte P; Gambini JP; Bittencourt LK; Kitamura FC; Venugopal VK; Mahajan V; Ros P; Soria-Olivas E; Alberich-Bayarri A
Eur Radiol; 2023 Jul; 33(7):5087-5096. PubMed ID: 36690774
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
