activity
20162026
most citedSampling and Reconstruction of Sparse Signals in Shift-Invariant Spaces: Generalized Shannon's Theorem Meets Compressive Sensing

17 citations · 22 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Parameter-Minimal Neural DE Solvers via Horner Polynomials

T. Matulić, D. Seršić

We propose a parameter-minimal neural architecture for solving differential equations by restricting the hypothesis class to Horner-factorized polynomials, yielding an implicit, di…

cs.LG2024

Subspace Clustering in Wavelet Packets Domain

Ivica Kopriva, Damir Sersic

Subspace clustering (SC) algorithms utilize the union of subspaces model to cluster data points according to the subspaces from which they are drawn. To better address separability…

eess.IV2023★ 2 cited

Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling

Tin Vlašić, Tomislav Matulić, Damir Seršić

Positron emission tomography (PET) is an important functional medical imaging technique often used in the evaluation of certain brain disorders, whose reconstruction problem is ill…

eess.SP2023★ 1 cited

Accurate 2D Reconstruction for PET Scanners based on the Analytical White Image Model

Tomislav Matulić, Damir Seršić

In this paper, we provide a precise mathematical model of crystal-to-crystal response which is used to generate the white image - a necessary compensation model needed to overcome…

eess.IV2021★ 2 cited

Single-Pixel Compressive Imaging in Shift-Invariant Spaces via Exact Wavelet Frames

Tin Vlašić, Damir Seršić

This paper introduces a novel framework for single-pixel imaging via compressive sensing (CS) in shift-invariant (SI) spaces by exploiting the sparsity property of a wavelet repres…

eess.SP2020★ 17 cited

Sampling and Reconstruction of Sparse Signals in Shift-Invariant Spaces: Generalized Shannon's Theorem Meets Compressive Sensing

Tin Vlašić, Damir Seršić

This paper introduces a novel framework and corresponding methods for sampling and reconstruction of sparse signals in shift-invariant (SI) spaces. We reinterpret the random demodu…

eess.SP2019

2D PET Image Reconstruction Using Robust L1 Estimation of the Gaussian Mixture Model

Azra Tafro, Damir Seršić, Ana Sović Kržić

An image or volume of interest in positron emission tomography (PET) is reconstructed from pairs of gamma rays emitted from a radioactive substance. Many image reconstruction metho…

cs.CV2016

Fast low-level pattern matching algorithm

Janja Paliska Soldo, Ana Sovic Krzic, and Damir Sersic

This paper focuses on pattern matching in the DNA sequence. It was inspired by a previously reported method that proposes encoding both pattern and sequence using prime numbers. Al…