2 papers
eess.IV2026
Deep learning Based Correction Algorithms for 3D Medical Reconstruction in Computed Tomography and Macroscopic Imaging
Tomasz Les, Tomasz Markiewicz, Malgorzata Lorent +2
This paper introduces a hybrid two-stage registration framework for reconstructing three-dimensional (3D) kidney anatomy from macroscopic slices, using CT-derived models as the geo…
cs.CV2025
MedGS: Gaussian Splatting for Multi-Modal 3D Medical Imaging
Kacper Marzol, Ignacy Kolton, Weronika Smolak-Dyżewska +6
Endoluminal endoscopic procedures are essential for diagnosing colorectal cancer and other severe conditions in the digestive tract, urogenital system, and airways. 3D reconstructi…