Results for: sechopoulos ,
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2022
Development and validation of a clinical CT system simulator
S. Tunissen, L. Oostveen, N. Moriakov, J. Teuwen, K. Michielsen, E. Smit and I. Sechopoulos.
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2021
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.
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2021
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.
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2021
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.
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2021
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.
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2021
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
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2021
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.
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2021
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.
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2021
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.
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2021
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.
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2021
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.
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2020
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.
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2020
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.
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2020
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.
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2020
Physical evaluation of an ultra-high-resolution CT scanner
L. Oostveen, K. Boedeker, M. Brink, M. Prokop, F. de Lange and I. Sechopoulos.
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2020
Stand-alone artificial intelligence - The future of breast cancer screening?
I. Sechopoulos and R. Mann
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2020
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.
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2020
Estimating the compressed breast-shape using deep learning
K. Michielsen, A. Rodríguez-Ruiz and I. Sechopoulos.
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2020
Reliability of MRI tumor size measurements for minimal invasive treatment selection in small breast cancers.
W. Sanderink, M. Caballo, L. Strobbe, W. Bult P. and.Vreuls, D. Venderink, I. Sechopoulos, N. Karssemeijer and R. Mann.
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2020
Minimally invasive breast cancer excision using the breast lesion excision system under ultrasound guidance
W. Sanderink, L. Strobbe, P. Bult, M. Schlooz-Vries, S. Lardenoije, D. Venderink, I. Sechopoulos, N. Karssemeijer, W. Vreuls and R. Mann.