| 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 | 454 | 2017 |
| Phiseg: Capturing uncertainty in medical image segmentation CF Baumgartner, KC Tezcan, K Chaitanya, AM Hötker, UJ Muehlematter, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 256 | 2019 |
| Semi-supervised and task-driven data augmentation K Chaitanya, N Karani, CF Baumgartner, A Becker, O Donati, ... Information Processing in Medical Imaging: 26th International Conference …, 2019 | 186 | 2019 |
| 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 | 172 | 2018 |
| Multidisciplinary Recommendations Regarding Post-Vaccine Adenopathy and Radiologic Imaging: Radiology Scientific Expert Panel AS Becker, R Perez-Johnston, SA Chikarmane, MM Chen, M El Homsi, ... Radiology 300 (2), E323-E327, 2021 | 161 | 2021 |
| Quantitative spatial analysis of haematopoiesis-regulating stromal cells in the bone marrow microenvironment by 3D microscopy A Gomariz, PM Helbling, S Isringhausen, U Suessbier, A Becker, A Boss, ... Nature communications 9 (1), 2532, 2018 | 152 | 2018 |
| Semi-supervised task-driven data augmentation for medical image segmentation K Chaitanya, N Karani, CF Baumgartner, E Erdil, A Becker, O Donati, ... Medical Image Analysis 68, 101934, 2021 | 137 | 2021 |
| Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning UJ Muehlematter, M Mannil, AS Becker, KN Vokinger, T Finkenstaedt, ... European radiology 29, 2207-2217, 2019 | 134 | 2019 |
| Cold-induced epigenetic programming of the sperm enhances brown adipose tissue activity in the offspring W Sun, H Dong, AS Becker, DH Dapito, S Modica, G Grandl, L Opitz, ... Nature medicine 24 (9), 1372-1383, 2018 | 125 | 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 | 123 | 2019 |
| Diagnostic Accuracy of Multiparametric MRI versus 68Ga-PSMA-11 PET/MRI for Extracapsular Extension and Seminal Vesicle Invasion in … UJ Muehlematter, IA Burger, AS Becker, K Schawkat, AM Hötker, ... Radiology 293 (2), 350-358, 2019 | 114 | 2019 |
| Clinical performance of 68Ga-PSMA-11 PET/MRI for the detection of recurrent prostate cancer following radical prostatectomy B Kranzbühler, H Nagel, AS Becker, J Müller, M Huellner, P Stolzmann, ... European journal of nuclear medicine and molecular imaging 45, 20-30, 2018 | 86 | 2018 |
| Inhibition of mevalonate pathway prevents adipocyte browning in mice and men by affecting protein prenylation M Balaz, AS Becker, L Balazova, L Straub, J Müller, G Gashi, CI Maushart, ... Cell metabolism 29 (4), 901-916. e8, 2019 | 83 | 2019 |
| Detection and localization of distal radius fractures: Deep learning system versus radiologists C Blüthgen, AS Becker, IV de Martini, A Meier, K Martini, T Frauenfelder European journal of radiology 126, 108925, 2020 | 81 | 2020 |
| Diagnostic performance of 68Ga-PSMA-11 PET/MRI-guided biopsy in patients with suspected prostate cancer: a prospective single-center study DA Ferraro, AS Becker, B Kranzbühler, I Mebert, A Baltensperger, ... European journal of nuclear medicine and molecular imaging, 1-10, 2021 | 71 | 2021 |
| Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study AS Becker, C Blüthgen, C Sekaggya-Wiltshire, B Castelnuovo, ... The International Journal of Tuberculosis and Lung Disease 22 (3), 328-335, 2018 | 70 | 2018 |
| Variability of manual segmentation of the prostate in axial T2-weighted MRI: a multi-reader study AS Becker, K Chaitanya, K Schawkat, UJ Muehlematter, AM Hötker, ... European journal of radiology 121, 108716, 2019 | 67 | 2019 |
| 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 | 62 | 2019 |
| Image quality and geometric distortion of modern diffusion-weighted imaging sequences in magnetic resonance imaging of the prostate D Stocker, A Manoliu, AS Becker, BK Barth, D Nanz, M Klarhöfer, ... Investigative radiology 53 (4), 200-206, 2018 | 56 | 2018 |
| Assessment of artificial intelligence in echocardiography diagnostics in differentiating takotsubo syndrome from myocardial infarction F Laumer, D Di Vece, VL Cammann, M Würdinger, V Petkova, ... JAMA cardiology 7 (5), 494-503, 2022 | 52 | 2022 |
Hebert Alberto VargasNew York University Grossman School of MedicinePreverjeni e-poštni naslov na nyulangone.org
