41 citations · 115 across the 15 of their papers we have counts for
4 papers · 1 filter
SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis
Tianyu Zhang, Xinglong Liang, Jarek van Dijk +13
Synthesizing high fidelity contrast enhanced MRI is clinically valuable for safer and more efficient breast cancer screening, yet remains challenging due to complex lesion textures…
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI
Luyi Han, Tao Tan, Tianyu Zhang +5
Multi-sequence MRIs can be necessary for reliable diagnosis in clinical practice due to the complimentary information within sequences. However, redundant information exists across…
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation
Joris van Vugt, Elena Marchiori, Ritse Mann +3
Computer-aided detection aims to improve breast cancer screening programs by helping radiologists to evaluate digital mammography (DM) exams. DM exams are generated by devices from…
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network
Timothy de Moor, Alejandro Rodriguez-Ruiz, Albert Gubern Mérida +2
Computer-aided detection or decision support systems aim to improve breast cancer screening programs by helping radiologists to evaluate digital mammography (DM) exams. Commonly su…