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researcher

J. S. Jorgensen

3 papers hereh-index 25 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • math.NA1
  • math.OC1

identity via Semantic Scholar / OpenAlex

most citedStochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2026

FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

Pawel Tomasz Pieta, Rasmus Juul Pedersen, Sina Borgi +3

Gaussian Splatting (GS) has emerged as a dominating technique for image rendering and has quickly been adapted for the X-ray Computed Tomography (CT) reconstruction task. However,…

math.OC2026

A Modular Approach to Stochastic Optimisation for Inverse Problems Using the Core Imaging Library

Evangelos Papoutsellis, Margaret A. G. Duff, Jakob S. Jørgensen +5

The Core Imaging Library (CIL) is an open-source versatile Python framework for solving inverse problems with special emphasis on imaging applications such as computed tomography (…

math.NA2024★ 1 cited

Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction

Evangelos Papoutsellis, Casper da Costa-Luis, Daniel Deidda +10

We introduce a stochastic framework into the open--source Core Imaging Library (CIL) which enables easy development of stochastic algorithms. Five such algorithms from the literatu…

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