27 related articles for article (PubMed ID: 34993572)
1. Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin.
Ghafoorian M; Karssemeijer N; Heskes T; Bergkamp M; Wissink J; Obels J; Keizer K; de Leeuw FE; Ginneken BV; Marchiori E; Platel B
Neuroimage Clin; 2017; 14():391-399. PubMed ID: 28271039
[TBL] [Abstract][Full Text] [Related]
2. A novel diagnostic tool to differentiate primary origin of brain metastases: Deep learning-based radiomics.
Uysal E; Yıldırım B
J Clin Ultrasound; 2023; 51(9):1587-1588. PubMed ID: 37728315
[No Abstract] [Full Text] [Related]
3. Comparison of diagnostic performance of radiologist- and AI-based assessments of T2-FLAIR mismatch sign and quantitative assessment using synthetic MRI in the differential diagnosis between astrocytoma, IDH-mutant and oligodendroglioma, IDH-mutant and 1p/19q-codeleted.
Kikuchi K; Togao O; Yamashita K; Momosaka D; Kikuchi Y; Kuga D; Yuhei S; Fujioka Y; Narutomi F; Obara M; Yoshimoto K; Ishigami K
Neuroradiology; 2024 Mar; 66(3):333-341. PubMed ID: 38224343
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Deep learning-based detection and quantification of brain metastases on black-blood imaging can provide treatment suggestions: a clinical cohort study.
Jeong H; Park JE; Kim N; Yoon SK; Kim HS
Eur Radiol; 2024 Mar; 34(3):2062-2071. PubMed ID: 37658885
[TBL] [Abstract][Full Text] [Related]
6. Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges.
Wagner DT; Tilmans L; Peng K; Niedermeier M; Rohl M; Ryan S; Yadav D; Takacs N; Garcia-Fraley K; Koso M; Dikici E; Prevedello LM; Nguyen XV
Diagnostics (Basel); 2023 Aug; 13(16):. PubMed ID: 37627929
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning for Detecting Brain Metastases on MRI: A Systematic Review and Meta-Analysis.
Ozkara BB; Chen MM; Federau C; Karabacak M; Briere TM; Li J; Wintermark M
Cancers (Basel); 2023 Jan; 15(2):. PubMed ID: 36672286
[TBL] [Abstract][Full Text] [Related]
8. Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks.
Pflüger I; Wald T; Isensee F; Schell M; Meredig H; Schlamp K; Bernhardt D; Brugnara G; Heußel CP; Debus J; Wick W; Bendszus M; Maier-Hein KH; Vollmuth P
Neurooncol Adv; 2022; 4(1):vdac138. PubMed ID: 36105388
[TBL] [Abstract][Full Text] [Related]
9. False-negative and false-positive outcomes of computer-aided detection on brain metastasis: Secondary analysis of a multicenter, multireader study.
Luo X; Yang Y; Yin S; Li H; Zhang W; Xu G; Fan W; Zheng D; Li J; Shen D; Gao Y; Shao Y; Ban X; Li J; Lian S; Zhang C; Ma L; Lin C; Luo Y; Zhou F; Wang S; Sun Y; Zhang R; Xie C
Neuro Oncol; 2023 Mar; 25(3):544-556. PubMed ID: 35943350
[TBL] [Abstract][Full Text] [Related]
10. Construction and evaluation of a gated high-resolution neural network for automatic brain metastasis detection and segmentation.
Qu J; Zhang W; Shu X; Wang Y; Wang L; Xu M; Yao L; Hu N; Tang B; Zhang L; Lui S
Eur Radiol; 2023 Oct; 33(10):6648-6658. PubMed ID: 37186214
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Deep learning for brain metastasis detection and segmentation in longitudinal MRI data.
Huang Y; Bert C; Sommer P; Frey B; Gaipl U; Distel LV; Weissmann T; Uder M; Schmidt MA; Dörfler A; Maier A; Fietkau R; Putz F
Med Phys; 2022 Sep; 49(9):5773-5786. PubMed ID: 35833351
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]