Tommy Löfstedt

1.3k citations

35 papers · 754 indexed · h-index 14

Molecular Biology
Radiology, Nuclear Medicine and Imaging top 10%
Artificial Intelligence top 10%
Computer Vision and Pattern Recognition top 10%
Analytical Chemistry top 5%

Co-authors: Johan Trygg Tufve Nyholm Anders Garpebring Patrik Brynolfsson Thomas Asklund Abel Chandra Regina Grätz Michael Peolsson
Topics: Advanced MRI Techniques and Applications (6 papers)Medical Imaging Techniques and Applications (5 papers)Spectroscopy and Chemometric Analyses (5 papers)
Cited by: Health Informatics Analytical Chemistry Radiology, Nuclear Medicine and Imaging
Journals: PLoS ONE IEEE Transactions on Pattern Analysis and Machine Intelligence Magnetic Resonance in Medicine
Partner nations: Sweden France Canada

In The Last Decade

Tommy Löfstedt

31 papers receiving 743 citations

Peers

Countries citing papers authored by Tommy Löfstedt

Since Specialization

Citations

This map shows the geographic impact of Tommy Löfstedt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tommy Löfstedt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tommy Löfstedt more than expected).

Fields of papers citing papers by Tommy Löfstedt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tommy Löfstedt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tommy Löfstedt. The network helps show where Tommy Löfstedt may publish in the future.

Co-authorship network of co-authors of Tommy Löfstedt

This figure shows the co-authorship network connecting the top 25 collaborators of Tommy Löfstedt. A scholar is included among the top collaborators of Tommy Löfstedt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tommy Löfstedt. Tommy Löfstedt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Beyond a single mode: GAN ensembles for diverse medical data generation 2026 ·Computer Methods and Programs in Biomedicine ·(unknown),Tommy Löfstedt,Paolo Soda,Valerio Guarrasi	0
2	LatentAugment: Data Augmentation via Guided Manipulation of GAN’s Latent Space 2025 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown),(unknown),Paolo Soda,Tommy Löfstedt	0
3	Improving MR image quality with a multi-task model, using convolutional losses 2023 ·BMC Medical Imaging ·(unknown),(unknown),Tommy Löfstedt,Anders Garpebring,Tufve Nyholm,(unknown),Joakim Jönsson	0
4	Transformer-based deep learning for predicting protein properties in the life sciences 2023 ·eLife ·Abel Chandra,(unknown),Tommy Löfstedt,Regina Grätz	96
5	Denoising and uncertainty estimation in parameter mapping with approximate Bayesian deep image priors 2023 ·Magnetic Resonance in Medicine ·(unknown),Tommy Löfstedt,Anders Garpebring	0
6	Towards MR contrast independent synthetic CT generation 2023 ·Zeitschrift für Medizinische Physik ·(unknown),(unknown),(unknown),Tommy Löfstedt,Anders Garpebring,Tufve Nyholm,Joakim Jönsson	4
7	Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning 2021 ·DiVA at Umeå University (Umeå University) ·(unknown),Tommy Löfstedt,Anders Garpebring,(unknown),Tufve Nyholm,Joakim Jönsson	2
8	Bayesian non-linear regression with spatial priors for noise reduction and error estimation in quantitative MRI with an application in T1 estimation 2020 ·Physics in Medicine and Biology ·Tommy Löfstedt,(unknown),(unknown),Anders Garpebring	3
9	Investigating conditional GAN performance with different generator architectures, an ensemble model, and different MR scanners for MR-sCT conversion 2020 ·Physics in Medicine and Biology ·(unknown),Tommy Löfstedt,Gerd Heilemann,Hugo Furtado,N. Nesvacil,Tufve Nyholm,Dietmar Georg,Peter Kuess	32
10	Latent space manipulation for high-resolution medical image synthesis via the StyleGAN 2020 ·Zeitschrift für Medizinische Physik ·(unknown),(unknown),Peter Kuess,Gerd Heilemann,Tufve Nyholm,Dietmar Georg,Tommy Löfstedt	48
11	Gray-level invariant Haralick texture features 2019 ·PLoS ONE ·Tommy Löfstedt,Patrik Brynolfsson,Thomas Asklund,Tufve Nyholm,Anders Garpebring	137
12	Density estimation of grey-level co-occurrence matrices for image texture analysis 2018 ·Physics in Medicine and Biology ·Anders Garpebring,Patrik Brynolfsson,Peter Kuess,Dietmar Georg,Thomas H. Helbich,Tufve Nyholm,Tommy Löfstedt	12
13	Identifying a neuroanatomical signature of schizophrenia, reproducible across sites and stages, using machine learning with structured sparsity 2018 ·Acta Psychiatrica Scandinavica ·(unknown),Tommy Löfstedt,Charles Laidi,(unknown),Julie Bourgin,Tomáš Hájek,Filip Španiel,Marián Kolenič,Philippe Ciuciu,N. Hamdani,Marion Leboyer,Thomas Fovet,Renaud Jardri,Josselin Houenou,Édouard Duchesnay	16
14	Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity 2018 ·Human Brain Mapping ·(unknown),Thomas Fovet,(unknown),Tommy Löfstedt,Philippe Ciuciu,Stéphanie Lefebvre,Pierre Thomas,Renaud Lopes,Renaud Jardri,Édouard Duchesnay	13
15	Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity 2018 ·SPIRE - Sciences Po Institutional REpository ·(unknown),Tommy Löfstedt,Charles Laidi,(unknown),Marion Leboyer,Philippe Ciuciu,Josselin Houenou,Édouard Duchesnay	8
16	Preliminary evaluation of dorsal muscle activity during resisted cervical extension in patients with longstanding pain and disability following anterior cervical decompression and fusion surgery 2014 ·Physiotherapy ·Anneli Peolsson,Michael Peolsson,Gwendolen Jull,Tommy Löfstedt,Johan Trygg,Shaun O’Leary	16
17	OnPLS integration of transcriptomic, proteomic and metabolomic data shows multi-level oxidative stress responses in the cambium of transgenic hipI- superoxide dismutase Populus plants 2013 ·BMC Genomics ·Vaibhav Srivastava,(unknown),Joakim Bygdell,Tommy Löfstedt,Patrik Rydén,Robert Nilsson,Maria Ahnlund,Annika Johansson,Pär Jonsson,Eva Freyhult,Johanna Qvarnström,Jan Karlsson,Michael Melzer,Thomas Möritz,Johan Trygg,Torgeir R. Hvidsten,Gunnar Wingsle	50
18	Global, local and unique decompositions in OnPLS for multiblock data analysis 2013 ·Analytica Chimica Acta ·Tommy Löfstedt,Daniel A. Hoffman,Johan Trygg	34
19	Dynamic ultrasound imaging—A multivariate approach for the analysis and comparison of time-dependent musculoskeletal movements 2012 ·BMC Medical Imaging ·Tommy Löfstedt,(unknown),Michael Peolsson,Johan Trygg	10
20	Modelling human musculoskeletal functional movements using ultrasound imaging 2010 ·BMC Medical Imaging ·Michael Peolsson,Tommy Löfstedt,Susanna Vogt,Hans Stenlund,T Arndt,Johan Trygg	26

About Tommy Löfstedt

Tommy Löfstedt is a scholar working on Radiology, Nuclear Medicine and Imaging, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 754 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Medical Imaging Techniques and Applications (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Health Informatics (19 citations), Analytical Chemistry (89 citations) and Radiology, Nuclear Medicine and Imaging (187 citations). Tommy Löfstedt has collaborated with scholars based in Sweden, France and Canada. Frequent co-authors include Johan Trygg, Tufve Nyholm, Anders Garpebring, Patrik Brynolfsson, Thomas Asklund, Abel Chandra, Regina Grätz, Michael Peolsson, Peter Kuess and Dietmar Georg. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Magnetic Resonance in Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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