| Detection of breast cancer with mammography: effect of an artificial intelligence support system A Rodríguez-Ruiz, E Krupinski, JJ Mordang, K Schilling, ... Radiology 290 (2), 305-314, 2019 | 591 | 2019 |
| Automatic microcalcification detection in multi-vendor mammography using convolutional neural networks JJ Mordang, T Janssen, A Bria, T Kooi, A Gubern-Mérida, N Karssemeijer Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June …, 2016 | 98 | 2016 |
| The importance of early detection of calcifications associated with breast cancer in screening JJ Mordang, A Gubern-Mérida, A Bria, F Tortorella, RM Mann, ... Breast cancer research and treatment 167, 451-458, 2018 | 68 | 2018 |
| A comparison between a deep convolutional neural network and radiologists for classifying regions of interest in mammography T Kooi, A Gubern-Merida, JJ Mordang, R Mann, R Pijnappel, K Schuur, ... International Workshop on Digital Mammography, 51-56, 2016 | 61 | 2016 |
| Computer‐aided detection of breast cancers using Haar‐like features in automated 3D breast ultrasound T Tan, JJ Mordang, J van Zelst, A Grivegnée, A Gubern‐Mérida, ... Medical physics 42 (4), 1498-1504, 2015 | 45 | 2015 |
| Reducing false positives of microcalcification detection systems by removal of breast arterial calcifications JJ Mordang, A Gubern‐Mérida, G den Heeten, N Karssemeijer Medical physics 43 (4), 1676-1687, 2016 | 24 | 2016 |
| Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support? A Rodriguez-Ruiz, JJ Mordang, N Karssemeijer, I Sechopoulos, RM Mann 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 7-16, 2018 | 19 | 2018 |
| The effect of mammogram preprocessing on microcalcification detection with convolutional neural networks A Marchesi, A Bria, C Marrocco, M Molinara, JJ Mordang, F Tortorella, ... 2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017 | 18 | 2017 |
| Improving computer‐aided detection assistance in breast cancer screening by removal of obviously false‐positive findings JJ Mordang, A Gubern‐Mérida, A Bria, F Tortorella, G Den Heeten, ... Medical Physics 44 (4), 1390-1401, 2017 | 16 | 2017 |
| Observer variability of reference tissue selection for relativecerebral blood volume measurements in glioma patients MTH Oei, FJA Meijer, JJ Mordang, EJ Smit, AJS Idema, BM Goraj, ... European Radiology 28, 3902-3911, 2018 | 15 | 2018 |
| Improving the automated detection of calcifications using adaptive variance stabilization A Bria, C Marrocco, LR Borges, M Molinara, A Marchesi, JJ Mordang, ... IEEE transactions on medical imaging 37 (8), 1857-1864, 2018 | 15 | 2018 |
| Spatial enhancement by dehazing for detection of microcalcifications with convolutional nets A Bria, C Marrocco, A Galdran, A Campilho, A Marchesi, JJ Mordang, ... Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 15 | 2017 |
| Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets A Bria, C Marrocco, M Molinara, B Savelli, JJ Mordang, N Karssemeijer, ... 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 44-51, 2018 | 8 | 2018 |
| Ard Den Heeten and Nico Karssemeijer,“ T Kooi, A Gubern-Merida, JJ Mordang, R Mann, R Pijnappel, K Schuur A Comparison Between a Deep Convolutional Neural Network and Radiologists …, 2016 | 8 | 2016 |
| Lut-qne: Look-up-table quantum noise equalization in digital mammograms A Bria, C Marrocco, JJ Mordang, N Karssemeijer, M Molinara, F Tortorella Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June …, 2016 | 7 | 2016 |
| Mammogram denoising to improve the calcification detection performance of convolutional nets C Marrocco, A Bria, V Di Sano, LR Borges, B Savelli, M Molinara, ... 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 219-227, 2018 | 5 | 2018 |
| Conditional random field modelling of interactions between findings in mammography T Kooi, JJ Mordang, N Karssemeijer Medical Imaging 2017: Computer-Aided Diagnosis 10134, 355-362, 2017 | 5 | 2017 |
| Vessel segmentation in screening mammograms JJ Mordang, N Karssemeijer Medical Imaging 2015: Computer-Aided Diagnosis 9414, 135-140, 2015 | 4 | 2015 |
| Automated labeling of screening mammograms with arterial calcifications JJ Mordang, J Hauth, GJ den Heeten, N Karssemeijer International Workshop on Digital Mammography, 589-596, 2014 | 2 | 2014 |
| A pattern recognition framework for vessel segmentation in 4D CT of the brain JJ Mordang, MTH Oei, R van den Boom, EJ Smit, M Prokop, ... Medical Imaging 2013: Image Processing 8669, 346-353, 2013 | 2 | 2013 |
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenAdresă de e-mail confirmată pe radboudumc.nl