|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
|Automatic microcalcification detection in multi-vendor mammography using convolutional neural networks|
JJ Mordang, T Janssen, A Bria, T Kooi, A Gubern-Mérida, N Karssemeijer
International workshop on breast imaging, 35-42, 2016
|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 Breast Imaging, 51-56, 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
|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 (2), 451-458, 2018
|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
|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
|Spatial enhancement by dehazing for detection of microcalcifications with convolutional nets|
A Bria, C Marrocco, A Galdran, A Campilho, A Marchesi, JJ Mordang, ...
International Conference on Image Analysis and Processing, 288-298, 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
|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 (9), 3902-3911, 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
|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
|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
|Lut-qne: Look-up-table quantum noise equalization in digital mammograms|
A Bria, C Marrocco, JJ Mordang, N Karssemeijer, M Molinara, F Tortorella
International Workshop on Breast Imaging, 27-34, 2016
|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
|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
|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
|Vessel segmentation in screening mammograms|
JJ Mordang, N Karssemeijer
Medical Imaging 2015: Computer-Aided Diagnosis 9414, 135-140, 2015
|Automated labeling of screening mammograms with arterial calcifications|
JJ Mordang, J Hauth, GJ Heeten, N Karssemeijer
International Workshop on Digital Mammography, 589-596, 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