Author

Jana Starčuková

Czech Academy of Sciences, Institute of Scientific InstrumentsORCID 0000-0003-0337-7893Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:benchmarking· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Amirmohammad ShamaeiiD· 2 shared Zenon StarčukiD· 2 shared Iveta PavlovaiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Amirmohammad ShamaeiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

NeuroscienceComputers in Biology and MedicinePeer-reviewedApr 5, 2023

Physics-informed Deep Learning Approach to Quantification of Human Brain Metabolites from Magnetic Resonance Spectroscopy Data

Amirmohammad Shamaei, Jana Starčuková, Zenon Starčuk

This paper introduces a self-supervised deep learning method for quantifying metabolite concentrations in MR spectroscopy data, showing comparable accuracy to traditional methods with faster processing.

37 citationstop 2%

humanimaging

𝕏 PostBluesky

NeuroscienceMagnetic Resonance in MedicinePeer-reviewedNov 11, 2022

Model-Informed Unsupervised Deep Learning Approaches to Frequency and Phase Correction of MRS Signals

Amirmohammad Shamaei, Jana Starčuková, Iveta Pavlova, Zenon Starčuk

This paper develops unsupervised deep learning methods for frequency and phase correction of MRS signals, showing comparable performance to supervised approaches and improved efficiency.

23 citations

deep learning

𝕏 PostBluesky