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1.
Association between survival in patients with primary invasive breast cancer and computer aided MRI.
J Magn Reson Imaging
; 37(1): 146-55, 2013 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-23011784
2.
Kinetic analysis of lesions without mass effect on breast MRI using manual and computer-assisted methods.
Eur Radiol
; 21(5): 893-8, 2011 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-21063709
3.
Application of MR mammography beyond local staging: is there a potential to accurately assess axillary lymph nodes? evaluation of an extended protocol in an initial prospective study.
AJR Am J Roentgenol
; 196(5): W641-7, 2011 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-21512057
4.
Automated volumetric radiomic analysis of breast cancer vascularization improves survival prediction in primary breast cancer.
Sci Rep
; 10(1): 3664, 2020 02 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-32111898
5.
Artificial Neural Networks for differential diagnosis of breast lesions in MR-Mammography: a systematic approach addressing the influence of network architecture on diagnostic performance using a large clinical database.
Eur J Radiol
; 81(7): 1508-13, 2012 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-21459533
6.
Computer assisted analysis of MR-mammography reveals association between contrast enhancement and occurrence of distant metastasis.
Technol Cancer Res Treat
; 11(6): 553-60, 2012 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-22568630
7.
Fusion of dynamic contrast-enhanced magnetic resonance mammography at 3.0T with X-ray mammograms: pilot study evaluation using dedicated semi-automatic registration software.
Eur J Radiol
; 79(2): e98-e102, 2011 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-21570793
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