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Kalle Åström

4 papers hereh-index 7258 citations46 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.SD1
  • eess.IV1
  • math.OC1

identity via Semantic Scholar / OpenAlex

works on
brain imaging 1deep learning 1gan 1mri synthesis 1u-net 1

From the 1 of 4 linked papers with an AI index.

activity
20242026
collaborators

4 papers

eess.IV2026

Converting T1-weighted MRI from 3T to 7T quality using deep learning

Malo Gicquel, Ruoyi Zhao, Anika Wuestefeld +12

The paper introduces deep learning models (a U‑Net and a GAN‑enhanced U‑Net) that generate synthetic 7 T‑quality T1‑weighted brain MRI from standard 3 T scans, achieving image deta…

math.OC2025

Single-Source Localization as an Eigenvalue Problem

Martin Larsson, Viktor Larsson, Kalle à ström +1

This paper introduces a novel method for solving the single-source localization problem, specifically addressing the case of trilateration. We formulate the problem as a weighted l…

cs.SD2024

SONNET: Enhancing Time Delay Estimation by Leveraging Simulated Audio

Erik Tegler, Magnus Oskarsson, Kalle à ström

Time delay estimation or Time-Difference-Of-Arrival estimates is a critical component for multiple localization applications such as multilateration, direction of arrival, and self…

cs.CV2024

The Impact of Semi-Supervised Learning on Line Segment Detection

Johanna Engman, Karl à ström, Magnus Oskarsson

In this paper we present a method for line segment detection in images, based on a semi-supervised framework. Leveraging the use of a consistency loss based on differently augmente…

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