2 papers
cs.CV2025
Talk2SAM: Text-Guided Semantic Enhancement for Complex-Shaped Object Segmentation
Luka Vetoshkin, Dmitry Yudin
Segmenting objects with complex shapes, such as wires, bicycles, or structural grids, remains a significant challenge for current segmentation models, including the Segment Anythin…
eess.IV2023
Whole-body PET image denoising for reduced acquisition time
Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin +2
This paper evaluates the performance of supervised and unsupervised deep learning models for denoising positron emission tomography (PET) images in the presence of reduced acquisit…