20 citations · 34 across the 11 of their papers we have counts for
6 papers · 1 filter
Automatic Skull Reconstruction by Deep Learnable Symmetry Enforcement
Marek Wodzinski, Mateusz Daniol, Daria Hemmerling
Every year, thousands of people suffer from skull damage and require personalized implants to fill the cranial cavity. Unfortunately, the waiting time for reconstruction surgery ca…
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…
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…
RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge
Marek Wodzinski, Niccolò Marini, Manfredo Atzori +1
The automatic registration of differently stained whole slide images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary information emerging from diffe…
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
Marek Wodzinski, Daria Hemmerling, Mateusz Daniol
Thousands of people suffer from cranial injuries every year. They require personalized implants that need to be designed and manufactured before the reconstruction surgery. The man…
Eye-tracking in Mixed Reality for Diagnosis of Neurodegenerative Diseases
Mateusz Daniol, Daria Hemmerling, Jakub Sikora +3
Parkinson's disease ranks as the second most prevalent neurodegenerative disorder globally. This research aims to develop a system leveraging Mixed Reality capabilities for trackin…