Magda Marcon
Magda Marcon
Radiologist, University Hospital Zurich
Verified email at
Cited by
Cited by
Deep learning in mammography: diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer
AS Becker, M Marcon, S Ghafoor, MC Wurnig, T Frauenfelder, A Boss
Investigative radiology 52 (7), 434-440, 2017
Age-and level-dependence of fatty infiltration in lumbar paravertebral muscles of healthy volunteers
RJ Crawford, L Filli, JM Elliott, D Nanz, MA Fischer, M Marcon, EJ Ulbrich
American Journal of Neuroradiology 37 (4), 742-748, 2016
Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study
AS Becker, M Mueller, E Stoffel, M Marcon, S Ghafoor, A Boss
The British journal of radiology 91 (1083), 20170576, 2018
Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making
A Ciritsis, C Rossi, M Eberhard, M Marcon, AS Becker, A Boss
European radiology 29, 5458-5468, 2019
Dedicated breast computed tomography with a photon-counting detector: initial results of clinical in vivo imaging
N Berger, M Marcon, N Saltybaeva, WA Kalender, H Alkadhi, ...
Investigative radiology 54 (7), 409-418, 2019
Towards clinical grating-interferometry mammography
C Arboleda, Z Wang, K Jefimovs, T Koehler, U Van Stevendaal, N Kuhn, ...
European radiology 30, 1419-1425, 2020
Determination of mammographic breast density using a deep convolutional neural network
A Ciritsis, C Rossi, I Vittoria De Martini, M Eberhard, M Marcon, AS Becker, ...
The British journal of radiology 92 (1093), 20180691, 2019
MRI texture features may predict differentiation and nodal stage of cervical cancer: a pilot study
AS Becker, S Ghafoor, M Marcon, JA Perucho, MC Wurnig, MW Wagner, ...
Acta radiologica open 6 (10), 2058460117729574, 2017
Distinction between phyllodes tumor and fibroadenoma in breast ultrasound using deep learning image analysis
E Stoffel, AS Becker, MC Wurnig, M Marcon, S Ghafoor, N Berger, A Boss
European journal of radiology open 5, 165-170, 2018
Is there a systematic bias of apparent diffusion coefficient (ADC) measurements of the breast if measured on different workstations? An inter-and intra-reader agreement study
P Clauser, M Marcon, M Maieron, C Zuiani, M Bazzocchi, PAT Baltzer
European radiology 26, 2291-2296, 2016
Cross-sectional area measurements versus volumetric assessment of the quadriceps femoris muscle in patients with anterior cruciate ligament reconstructions
M Marcon, B Ciritsis, C Laux, D Nanz, TDL Nguyen-Kim, MA Fischer, ...
European radiology 25, 290-298, 2015
Whole‐body adipose tissue and lean muscle volumes and their distribution across gender and age: MR‐derived normative values in a normal‐weight Swiss population
EJ Ulbrich, D Nanz, OD Leinhard, M Marcon, MA Fischer
Magnetic resonance in medicine 79 (1), 449-458, 2018
Quantitative and qualitative MR‐imaging assessment of vastus medialis muscle volume loss in asymptomatic patients after anterior cruciate ligament reconstruction
M Marcon, B Ciritsis, C Laux, D Nanz, MA Fischer, G Andreisek, ...
Journal of Magnetic Resonance Imaging 42 (2), 515-525, 2015
Evaluation of reproducibility of diffusion tensor imaging in the brachial plexus at 3.0 T
MJ Ho, A Manoliu, FP Kuhn, B Stieltjes, M Klarhöfer, T Feiweier, ...
Investigative radiology 52 (8), 482-487, 2017
Dedicated spiral breast computed tomography with a single photon-counting detector: initial results of the first 300 women
N Berger, M Marcon, T Frauenfelder, A Boss
Investigative radiology 55 (2), 68-72, 2020
Normative values for volume and fat content of the hip abductor muscles and their dependence on side, age and gender in a healthy population
M Marcon, N Berger, A Manoliu, MA Fischer, D Nanz, G Andreisek, ...
Skeletal radiology 45, 465-474, 2016
Injecting and removing suspicious features in breast imaging with CycleGAN: A pilot study of automated adversarial attacks using neural networks on small images
AS Becker, L Jendele, O Skopek, N Berger, S Ghafoor, M Marcon, ...
European journal of radiology 120, 108649, 2019
Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach
K Borkowski, C Rossi, A Ciritsis, M Marcon, P Hejduk, S Stieb, A Boss, ...
Medicine 99 (29), e21243, 2020
Lesion detectability and radiation dose in spiral breast CT with photon-counting detector technology: a phantom study
S Shim, N Saltybaeva, N Berger, M Marcon, H Alkadhi, A Boss
Investigative radiology 55 (8), 515-523, 2020
Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network
P Hejduk, M Marcon, J Unkelbach, A Ciritsis, C Rossi, K Borkowski, ...
European radiology 32 (7), 4868-4878, 2022
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