collaborators

5 papers

cs.CV2026

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…

eess.IV2026

Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation

Szymon Płotka, Gizem Mert, Maciej Chrabaszcz +2

In recent years, artificial intelligence has significantly advanced medical image segmentation. Nonetheless, challenges remain, including efficient 3D medical image processing acro…

cs.CV2026

Early and Prediagnostic Detection of Pancreatic Cancer from Computed Tomography

Wenxuan Li, Pedro R. A. S. Bassi, Lizhou Wu +34

Pancreatic ductal adenocarcinoma (PDAC), one of the deadliest solid malignancies, is often detected at a late and inoperable stage. Retrospective reviews of prediagnostic CT scans,…

eess.IV2025

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…

eess.IV2025

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…