143 related articles for article (PubMed ID: 29930257)
1. Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.
Jun Y; Eo T; Kim T; Shin H; Hwang D; Bae SH; Park YW; Lee HJ; Choi BW; Ahn SS
Sci Rep; 2018 Jun; 8(1):9450. PubMed ID: 29930257
[TBL] [Abstract][Full Text] [Related]
2. Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging.
Park YW; Jun Y; Lee Y; Han K; An C; Ahn SS; Hwang D; Lee SK
Eur Radiol; 2021 Sep; 31(9):6686-6695. PubMed ID: 33738598
[TBL] [Abstract][Full Text] [Related]
3. Detection of small metastatic brain tumors: comparison of 3D contrast-enhanced whole-brain black-blood imaging and MP-RAGE imaging.
Park J; Kim J; Yoo E; Lee H; Chang JH; Kim EY
Invest Radiol; 2012 Feb; 47(2):136-41. PubMed ID: 22104961
[TBL] [Abstract][Full Text] [Related]
4. Comparison of lesion enhancement between BB Cube and 3D-SPGR images for brain tumors with 1.5-T magnetic resonance imaging.
Hasegawa H; Ashikaga R; Okajima K; Wakayama T; Miyoshi M; Nishimura Y; Murakami T
Jpn J Radiol; 2017 Aug; 35(8):463-471. PubMed ID: 28540464
[TBL] [Abstract][Full Text] [Related]
5. Reducing false positives in deep learning-based brain metastasis detection by using both gradient-echo and spin-echo contrast-enhanced MRI: validation in a multi-center diagnostic cohort.
Yun S; Park JE; Kim N; Park SY; Kim HS
Eur Radiol; 2024 May; 34(5):2873-2884. PubMed ID: 37891415
[TBL] [Abstract][Full Text] [Related]
6. Deep learning-based detection algorithm for brain metastases on black blood imaging.
Oh JH; Lee KM; Kim HG; Yoon JT; Kim EJ
Sci Rep; 2022 Nov; 12(1):19503. PubMed ID: 36376364
[TBL] [Abstract][Full Text] [Related]
7. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI.
Grøvik E; Yi D; Iv M; Tong E; Rubin D; Zaharchuk G
J Magn Reson Imaging; 2020 Jan; 51(1):175-182. PubMed ID: 31050074
[TBL] [Abstract][Full Text] [Related]
8. Efficacy of Maximum Intensity Projection of Contrast-Enhanced 3D Turbo-Spin Echo Imaging with Improved Motion-Sensitized Driven-Equilibrium Preparation in the Detection of Brain Metastases.
Bae YJ; Choi BS; Lee KM; Yoon YH; Sunwoo L; Jung C; Kim JH
Korean J Radiol; 2017; 18(4):699-709. PubMed ID: 28670165
[TBL] [Abstract][Full Text] [Related]
9. Gadolinium-enhanced three-dimensional magnetization-prepared rapid gradient-echo (3D MP-RAGE) imaging is superior to spin-echo imaging in delineating brain metastases.
Takeda T; Takeda A; Nagaoka T; Kunieda E; Takemasa K; Watanabe M; Hatou T; Oguro S; Katayama M
Acta Radiol; 2008 Dec; 49(10):1167-73. PubMed ID: 18979271
[TBL] [Abstract][Full Text] [Related]
10. Improved motion-sensitized driven-equilibrium preparation for 3D turbo spin echo T1 weighted imaging after gadolinium administration for the detection of brain metastases on 3T MRI.
Lee S; Park DW; Lee JY; Lee YJ; Kim T
Br J Radiol; 2016 Jul; 89(1063):20150176. PubMed ID: 27187597
[TBL] [Abstract][Full Text] [Related]
11. Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI.
Dikici E; Ryu JL; Demirer M; Bigelow M; White RD; Slone W; Erdal BS; Prevedello LM
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2883-2893. PubMed ID: 32203040
[TBL] [Abstract][Full Text] [Related]
12. Contrast-enhanced MR imaging of metastatic brain tumor at 3 tesla: utility of T(1)-weighted SPACE compared with 2D spin echo and 3D gradient echo sequence.
Komada T; Naganawa S; Ogawa H; Matsushima M; Kubota S; Kawai H; Fukatsu H; Ikeda M; Kawamura M; Sakurai Y; Maruyama K
Magn Reson Med Sci; 2008; 7(1):13-21. PubMed ID: 18460844
[TBL] [Abstract][Full Text] [Related]
13. Contrast-Enhanced Black Blood MRI Sequence Is Superior to Conventional T1 Sequence in Automated Detection of Brain Metastases by Convolutional Neural Networks.
Kottlors J; Geissen S; Jendreizik H; Große Hokamp N; Fervers P; Pennig L; Laukamp K; Kabbasch C; Maintz D; Schlamann M; Borggrefe J
Diagnostics (Basel); 2021 Jun; 11(6):. PubMed ID: 34206103
[TBL] [Abstract][Full Text] [Related]
14. Brain metastases detection on MR by means of three-dimensional tumor-appearance template matching.
Pérez-Ramírez Ú; Arana E; Moratal D
J Magn Reson Imaging; 2016 Sep; 44(3):642-52. PubMed ID: 26934581
[TBL] [Abstract][Full Text] [Related]
15. [Quantitative measurement of carotid atherosclerotic plaque by high-resolution three- dimensional black-blood magnetic resonance imaging].
Liu D; Wang Q; Cai J; Cai Y; Wang Y; Han X
Nan Fang Yi Ke Da Xue Xue Bao; 2013 Mar; 33(3):365-9. PubMed ID: 23529233
[TBL] [Abstract][Full Text] [Related]
16. A deep convolutional neural network-based automatic detection of brain metastases with and without blood vessel suppression.
Kikuchi Y; Togao O; Kikuchi K; Momosaka D; Obara M; Van Cauteren M; Fischer A; Ishigami K; Hiwatashi A
Eur Radiol; 2022 May; 32(5):2998-3005. PubMed ID: 34993572
[TBL] [Abstract][Full Text] [Related]
17. MRI-based two-stage deep learning model for automatic detection and segmentation of brain metastases.
Li R; Guo Y; Zhao Z; Chen M; Liu X; Gong G; Wang L
Eur Radiol; 2023 May; 33(5):3521-3531. PubMed ID: 36695903
[TBL] [Abstract][Full Text] [Related]
18. Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.
Kleesiek J; Urban G; Hubert A; Schwarz D; Maier-Hein K; Bendszus M; Biller A
Neuroimage; 2016 Apr; 129():460-469. PubMed ID: 26808333
[TBL] [Abstract][Full Text] [Related]
19. 3D MR sequence capable of simultaneous image acquisitions with and without blood vessel suppression: utility in diagnosing brain metastases.
Kikuchi K; Hiwatashi A; Togao O; Yamashita K; Yoneyama M; Obara M; Kishimoto J; Yoshiura T; Honda H
Eur Radiol; 2015 Apr; 25(4):901-10. PubMed ID: 25417126
[TBL] [Abstract][Full Text] [Related]
20. Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network.
Charron O; Lallement A; Jarnet D; Noblet V; Clavier JB; Meyer P
Comput Biol Med; 2018 Apr; 95():43-54. PubMed ID: 29455079
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
