2 citations · 2 across the 5 of their papers we have counts for
5 papers
X-Splat: Gaussian Splatting for 3D CBCT Generation from Single Panoramic Radiograph
Tomasz Szczepański, Szymon Płotka, Michal K. Grzeszczyk +2
Generating a 3D dental volume from a single panoramic radiograph (PXR) could provide a low-radiation alternative to Cone-Beam Computed Tomography (CBCT), but the problem is highly…
GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation
Tomasz Szczepański, Szymon Płotka, Michal K. Grzeszczyk +5
Tooth segmentation in Cone-Beam Computed Tomography (CBCT) remains challenging, especially for fine structures like root apices, which is critical for assessing root resorption in…
RegScore: Scoring Systems for Regression Tasks
Michal K. Grzeszczyk, Tomasz Szczepański, Pawel Renc +4
Scoring systems are widely adopted in medical applications for their inherent simplicity and transparency, particularly for classification tasks involving tabular data. In this wor…
Let Me DeCode You: Decoder Conditioning with Tabular Data
Tomasz Szczepański, Michal K. Grzeszczyk, Szymon Płotka +5
Training deep neural networks for 3D segmentation tasks can be challenging, often requiring efficient and effective strategies to improve model performance. In this study, we intro…
POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection
Tomasz Szczepański, Arkadiusz Sitek, Tomasz Trzciński +1
A critical step in the fight against COVID-19, which continues to have a catastrophic impact on peoples lives, is the effective screening of patients presented in the clinics with…