| 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 | 407 | 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 | 208 | 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 | 155 | 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 | 101 | 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 | 66 | 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 | 55 | 2020 |
| 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 | 50 | 2017 |
| 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 | 47 | 2019 |
| 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 | 44 | 2016 |
| 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 | 43 | 2018 |
| 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 | 41 | 2018 |
| 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 | 41 | 2015 |
| 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 | 38 | 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 | 34 | 2017 |
| 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 | 32 | 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 | 31 | 2019 |
| 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 | 30 | 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 | 26 | 2020 |
| 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 | 23 | 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 | 22 | 2022 |
