activity
20232026
most citedImproving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

eess.IV2024

Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation

Kamil Kwarciak, Mateusz Daniol, Daria Hemmerling +1

The skull segmentation from CT scans can be seen as an already solved problem. However, in MR this task has a significantly greater complexity due to the presence of soft tissues r…

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…