Patient-derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesis
M. Caballo, C. Rabin, C. Fedon, A. Rodríguez-Ruiz, O. Diaz, J. Boone, D. Dance and I. Sechopoulos.
Multireader image quality evaluation of dynamic myocardial computed tomography perfusion imaging with a novel four-dimensional noise reduction filter
O. Sliwicka, Z. Swiderska-Chadaj, M. Snoeren, M. Brink, K. Salah, L. Peters-Bax, T. Stille, M. van Amerongen, I. Sechopoulos and J. Habets.
Deep learning based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms
L. Oostveen, F. Meijer, F. de Lange, E. Smit, S. Pegge, S. Steens, M. van Amerongen, M. Prokop and I. Sechopoulos.
Development and content validity evaluation of a candidate instrument to assess image quality in digital mammography: a mixed-method study
J. Boita, A. Bolejko, S. Zackrisson, M. Wallis, D. Ikeda, C. Van Ongeval, R. van Engen, A. Mackenzie, A. Tingberg, H. Bosmans, R. Pijnappel, I. Sechopoulos and M. Broeders.
How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography?
J. Boita, R. van Engen, A. Mackenzie, A. Tingberg, H. Bosmans, A. Bolejko, S. Zackrisson, M. Wallis, D. Ikeda, C. Van Ongeval, R. Pijnappel, M. Broeders and I. Sechopoulos.
Validation of a candidate instrument to assess image quality in digital mammography using ROC analysis
J. Boita, R. van Engen, A. Mackenzie, A. Tingberg, H. Bosmans, A. Bolejko, S. Zackrisson, M. Wallis, D. Ikeda, C. van Ongeval, R. Pijnappel, M. Broeders and I. Sechopoulos.
Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: a patient-based characterization of the breast parenchyma
C. Fedon, M. Caballo, E. García, O. Diaz, J. Boone, D. Dance and I. Sechopoulos.
Multi-Marker Quantitative Radiomics for Mass Characterization in Dedicated Breast CT Imaging
M. Caballo, D. Pangallo, W. Sanderink, A. Hernandez, S. Lyu, F. Molinari, J. Boone, R. Mann and I. Sechopoulos.
Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features
M. Caballo, A. Hernandez, S. Lyu, J. Teuwen, R. Mann, B. van Ginneken, J. Boone and I. Sechopoulos
Impact of Artificial Intelligence Decision Support Using Deep Learning on Breast Cancer Screening Interpretation with Single-View Wide-Angle Digital Breast Tomosynthesis
M. Pinto, A. Rodríguez-Ruiz, K. Pedersen, S. Hofvind, J. Wicklein, S. Kappler, R. Mann and I. Sechopoulos.
Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI
W. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, N. Karssemeijer, P. Baltzer, I. Sechopoulos and R. Mann.
Diffusion weighted imaging for evaluation of breast lesions: Comparison between high b-value single-shot and routine readout-segmented sequences at 3 T
W. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, I. Sechopoulos and R. Mann.
Stress dynamic CT perfusion in the evaluation of acute coronary syndrome
O. Sliwicka, P. Damman and J. Habets.
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence.
M. Caballo, D. Pangallo, R. Mann and I. Sechopoulos.
Multi-Scale Deep Learning Framework for Cochlea Localization, Segmentation and Analysis on Clinical Ultra-High-Resolution CT Images.
F. Heutink, V. Koch, B. Verbist, W. van der Woude, E. Mylanus, W. Huinck, I. Sechopoulos and M. Caballo.
Measurement of the useful field of view for single slices of different imaging modalities and targets
M. Lago, I. Sechopoulos, F. Bochud and M. Eckstein.
Physical evaluation of an ultra-high-resolution CT scanner
L. Oostveen, K. Boedeker, M. Brink, M. Prokop, F. de Lange and I. Sechopoulos.
Stand-alone artificial intelligence - The future of breast cancer screening?
I. Sechopoulos and R. Mann
Compressed breast shape characterization and modelling during digital breast tomosynthesis using 3D stereoscopic surface cameras
M. Pinto, R. Egging, A. Rodríguez-Ruiz, K. Michielsen and I. Sechopoulos.
Estimating the compressed breast-shape using deep learning
K. Michielsen, A. Rodríguez-Ruiz and I. Sechopoulos.