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Mireille J. M. Broeders
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2020 – today
- 2024
- [j2]Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen:
Improving lesion volume measurements on digital mammograms. Medical Image Anal. 97: 103269 (2024) - 2023
- [j1]Linda Rainey, Jennifer E. Lutomski, Mireille J. M. Broeders:
FAIR data sharing: An international perspective on why medical researchers are lagging behind. Big Data Soc. 10(1): 205395172311710 (2023) - [i1]Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen:
Improving Lesion Volume Measurements on Digital Mammograms. CoRR abs/2308.14369 (2023) - 2022
- [c3]Sarah D. Verboom, Marco Caballo, Mireille J. M. Broeders, Jonas Teuwen, Ioannis Sechopoulos:
Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors. Image Processing 2022 - 2020
- [c2]Craig K. Abbey, Michael A. Webster, Tanya D. Geertse, Danielle van der Waal, Eric Tetteroo, Ruud Pijnappel, Mireille J. M. Broeders, Ioannis Sechopoulos:
Sequential reading effects in Dutch screening mammography. Image Perception, Observer Performance, and Technology Assessment 2020: 113160G
2010 – 2019
- 2019
- [c1]Christiana Balta, Ioannis Sechopoulos, Ramona W. Bouwman, Mireille J. M. Broeders, Nico Karssemeijer, Ruben E. van Engen, Wouter J. H. Veldkamp:
New difference of Gaussian channel-sets for the channelized Hotelling observer? Image Perception, Observer Performance, and Technology Assessment 2019: 109520C
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last updated on 2024-12-10 21:47 CET by the dblp team
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