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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
Showing math.OCShow all

1 paper · 1 filter

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 (…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.