624 related articles for article (PubMed ID: 33078996)
1. Artificial Intelligence Applied to Breast MRI for Improved Diagnosis.
Jiang Y; Edwards AV; Newstead GM
Radiology; 2021 Jan; 298(1):38-46. PubMed ID: 33078996
[TBL] [Abstract][Full Text] [Related]
2. Adding a Model-free Diffusion MRI Marker to BI-RADS Assessment Improves Specificity for Diagnosing Breast Lesions.
Goto M; Le Bihan D; Yoshida M; Sakai K; Yamada K
Radiology; 2019 Jul; 292(1):84-93. PubMed ID: 31112086
[TBL] [Abstract][Full Text] [Related]
3. Diagnostic Performance of Artificial Intelligence-Based Computer-Aided Detection Software for Automated Breast Ultrasound.
Kwon MR; Youn I; Lee MY; Lee HA
Acad Radiol; 2024 Feb; 31(2):480-491. PubMed ID: 37813703
[TBL] [Abstract][Full Text] [Related]
4. Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.
Yuan Y; Giger ML; Li H; Bhooshan N; Sennett CA
Acad Radiol; 2010 Sep; 17(9):1158-67. PubMed ID: 20692620
[TBL] [Abstract][Full Text] [Related]
5. Impact of Artificial Intelligence Decision Support Using Deep Learning on Breast Cancer Screening Interpretation with Single-View Wide-Angle Digital Breast Tomosynthesis.
Pinto MC; Rodriguez-Ruiz A; Pedersen K; Hofvind S; Wicklein J; Kappler S; Mann RM; Sechopoulos I
Radiology; 2021 Sep; 300(3):529-536. PubMed ID: 34227882
[TBL] [Abstract][Full Text] [Related]
6. Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.
Ji Y; Li H; Edwards AV; Papaioannou J; Ma W; Liu P; Giger ML
Cancer Imaging; 2019 Sep; 19(1):64. PubMed ID: 31533838
[TBL] [Abstract][Full Text] [Related]
7. High-temporal resolution DCE-MRI improves assessment of intra- and peri-breast lesions categorized as BI-RADS 4.
Liu Y; Wang S; Qu J; Tang R; Wang C; Xiao F; Pang P; Sun Z; Xu M; Li J
BMC Med Imaging; 2023 Apr; 23(1):58. PubMed ID: 37076817
[TBL] [Abstract][Full Text] [Related]
8. Radiomic analysis of HTR-DCE MR sequences improves diagnostic performance compared to BI-RADS analysis of breast MR lesions.
Perre SV; Duron L; Milon A; Bekhouche A; Balvay D; Cornelis FH; Fournier L; Thomassin-Naggara I
Eur Radiol; 2021 Jul; 31(7):4848-4859. PubMed ID: 33404696
[TBL] [Abstract][Full Text] [Related]
9. Assessing the performance of benign and malignant breast lesion classification with bilateral TIC differentiation and other effective features in DCE-MRI.
Li H; Sun H; Liu S; Zhang W; Arukalam FM; Ma H; Qian W
J Magn Reson Imaging; 2019 Aug; 50(2):465-473. PubMed ID: 30688398
[TBL] [Abstract][Full Text] [Related]
10. Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.
Lee SH; Kim JH; Cho N; Park JS; Yang Z; Jung YS; Moon WK
Med Phys; 2010 Aug; 37(8):3940-56. PubMed ID: 20879557
[TBL] [Abstract][Full Text] [Related]
11. The additional utility of ultrafast MRI on conventional DCE-MRI in evaluating preoperative MRI of breast cancer patients.
Lee SJ; Ko KH; Jung HK; Koh JE; Park AY
Eur J Radiol; 2020 Mar; 124():108841. PubMed ID: 31981877
[TBL] [Abstract][Full Text] [Related]
12. Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time.
Park EK; Kwak S; Lee W; Choi JS; Kooi T; Kim EK
Radiol Artif Intell; 2024 May; 6(3):e230318. PubMed ID: 38568095
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI.
Dalmiş MU; Gubern-Mérida A; Vreemann S; Bult P; Karssemeijer N; Mann R; Teuwen J
Invest Radiol; 2019 Jun; 54(6):325-332. PubMed ID: 30652985
[TBL] [Abstract][Full Text] [Related]
14. Diffusion tensor imaging for characterizing tumor microstructure and improving diagnostic performance on breast MRI: a prospective observational study.
Luo J; Hippe DS; Rahbar H; Parsian S; Rendi MH; Partridge SC
Breast Cancer Res; 2019 Sep; 21(1):102. PubMed ID: 31484577
[TBL] [Abstract][Full Text] [Related]
15. Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions.
Milenković J; Hertl K; Košir A; Zibert J; Tasič JF
Artif Intell Med; 2013 Jun; 58(2):101-14. PubMed ID: 23548472
[TBL] [Abstract][Full Text] [Related]
16. Breast DCE-MRI: influence of postcontrast timing on automated lesion kinetics assessments and discrimination of benign and malignant lesions.
Partridge SC; Stone KM; Strigel RM; DeMartini WB; Peacock S; Lehman CD
Acad Radiol; 2014 Sep; 21(9):1195-203. PubMed ID: 24998690
[TBL] [Abstract][Full Text] [Related]
17. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
Chen W; Giger ML; Bick U; Newstead GM
Med Phys; 2006 Aug; 33(8):2878-87. PubMed ID: 16964864
[TBL] [Abstract][Full Text] [Related]
18. Single bolus split dynamic MRI: Is the combination of high spatial and dual-echo high temporal resolution interleaved sequences useful in the differential diagnosis of breast masses?
Grøvik E; Bjørnerud A; Kurz KD; Kingsrød M; Sandhaug M; Storås TH; Gjesdal KI
J Magn Reson Imaging; 2015 Jul; 42(1):180-7. PubMed ID: 25211038
[TBL] [Abstract][Full Text] [Related]
19. New parameters of ultrafast dynamic contrast-enhanced breast MRI using compressed sensing.
Honda M; Kataoka M; Onishi N; Iima M; Ohashi A; Kanao S; Nickel MD; Toi M; Togashi K
J Magn Reson Imaging; 2020 Jan; 51(1):164-174. PubMed ID: 31215107
[TBL] [Abstract][Full Text] [Related]
20. Multiparametric MRI model with dynamic contrast-enhanced and diffusion-weighted imaging enables breast cancer diagnosis with high accuracy.
Zhang M; Horvat JV; Bernard-Davila B; Marino MA; Leithner D; Ochoa-Albiztegui RE; Helbich TH; Morris EA; Thakur S; Pinker K
J Magn Reson Imaging; 2019 Mar; 49(3):864-874. PubMed ID: 30375702
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]