1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
MAMA-FLUX.2: Image-to-Image Synthesis of Post-Contrast Breast DCE-MRI for the MAMA-SYNTH Challenge
Kamil Kwarciak, Marek Wodzinski
Dynamic contrast-enhanced breast MRI is central to cancer diagnosis and monitoring, but requires gadolinium-based contrast agents. In this work, we address pre-to-post contrast bre…
cs.CV2024★ 1 cited
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models
Marek Wodzinski, Kamil Kwarciak, Mateusz Daniol +1
Modeling and manufacturing of personalized cranial implants are important research areas that may decrease the waiting time for patients suffering from cranial damage. The modeling…
eess.IV2023
Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects
Kamil Kwarciak, Marek Wodzinski
The design of personalized cranial implants is a challenging and tremendous task that has become a hot topic in terms of process automation with the use of deep learning techniques…