5 citations · 9 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 5 cited
Interpretable deep learning regression for breast density estimation on MRI
Bas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse +2
Breast density, which is the ratio between fibroglandular tissue (FGT) and total breast volume, can be assessed qualitatively by radiologists and quantitatively by computer algorit…
cs.CV2018★ 4 cited
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing
Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo +3
Response of breast cancer to neoadjuvant chemotherapy (NAC) can be monitored using the change in visible tumor on magnetic resonance imaging (MRI). In our current workflow, seed po…