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Sreenath P Kyathanahally
Sreenath P Kyathanahally
b-rayZ
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Title
Cited by
Cited by
Year
Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy
SP Kyathanahally, A Döring, R Kreis
Magnetic resonance in medicine 80 (3), 851-863, 2018
952018
Anterior–posterior dissociation of the default mode network in dogs
SP Kyathanahally, H Jia, OM Pustovyy, P Waggoner, R Beyers, ...
Brain Structure and Function 220 (2), 1063-1076, 2015
402015
Results and interpretation of a fitting challenge for MR spectroscopy set up by the MRS study group of ISMRM
M Marjańska, DK Deelchand, R Kreis, ...
Magnetic resonance in medicine 87 (1), 11-32, 2022
312022
Quality of clinical brain tumor MR spectra judged by humans and machine learning tools
SP Kyathanahally, V Mocioiu, N Pedrosa de Barros, J Slotboom, ...
Magnetic resonance in medicine 79 (5), 2500-2510, 2018
262018
Fitting interrelated datasets: metabolite diffusion and general lineshapes
V Adalid, A Döring, SP Kyathanahally, CS Bolliger, C Boesch, R Kreis
Magnetic Resonance Materials in Physics, Biology and Medicine 30, 429-448, 2017
262017
Tracking the neurodegenerative gradient after spinal cord injury
M Azzarito, M Seif, S Kyathanahally, A Curt, P Freund
NeuroImage: Clinical 26, 102221, 2020
232020
Deep Learning Classification of Lake Zooplankton
SP Kyathanahally, T Hardeman, E Merz, T Bulas, M Reyes, P Isles, ...
Frontiers in Microbiology, 2021
202021
A realistic framework for investigating decision making in the brain with high spatiotemporal resolution using simultaneous EEG/fMRI and joint ICA
SP Kyathanahally, A Franco-Watkins, X Zhang, VD Calhoun, ...
IEEE journal of biomedical and health informatics 21 (3), 814-825, 2016
172016
Ensembles of data-efficient vision transformers as a new paradigm for automated classification in ecology
SP Kyathanahally, T Hardeman, M Reyes, E Merz, T Bulas, P Brun, ...
Scientific Reports 12 (1), 18590, 2022
152022
Microstructural plasticity in nociceptive pathways after spinal cord injury
SP Kyathanahally, M Azzarito, J Rosner, VD Calhoun, C Blaiotta, ...
Journal of Neurology, Neurosurgery & Psychiatry 92 (8), 863-871, 2021
132021
Automated quality control for proton magnetic resonance spectroscopy data using convex non-negative matrix factorization
V Mocioiu, SP Kyathanahally, C Arús, A Vellido, M Juliŕ-Sapé
International Conference on Bioinformatics and Biomedical Engineering, 719-727, 2016
13*2016
Simultaneous voxel‐wise analysis of brain and spinal cord morphometry and microstructure within the SPM framework
M Azzarito, SP Kyathanahally, Y Balbastre, M Seif, C Blaiotta, ...
Human brain mapping 42 (1), 220-232, 2021
122021
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and …
R Rizzo, M Dziadosz, SP Kyathanahally, A Shamaei, R Kreis
Magnetic resonance in medicine 89 (5), 1707-1727, 2023
102023
Investigation of true high frequency electrical substrates of fMRI-based resting state networks using parallel independent component analysis of simultaneous EEG/fMRI data
SP Kyathanahally, Y Wang, VD Calhoun, G Deshpande
Frontiers in neuroinformatics 11, 74, 2017
102017
Denoising single MR spectra by deep learning: Miracle or mirage?
M Dziadosz, R Rizzo, SP Kyathanahally, R Kreis
Magnetic resonance in medicine 90 (5), 1749-1761, 2023
82023
Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting
R Rizzo, M Dziadosz, SP Kyathanahally, M Reyes, R Kreis
International Conference on Medical Image Computing and Computer-Assisted …, 2022
72022
Forecasting the quality of water‐suppressed 1H MR spectra based on a single‐shot water scan
SP Kyathanahally, R Kreis
Magnetic resonance in medicine 78 (2), 441-451, 2017
52017
Does superficial fat affect metabolite concentrations determined by MR spectroscopy with water referencing?
SP Kyathanahally, ND Fichtner, V Adalid, R Kreis
NMR in Biomedicine 28 (11), 1543-1549, 2015
52015
Ghostbusters for MRS: automatic detection of ghosting artifacts using deep learning
S Kyathanahally, A Doering, R Kreis
ISMRM 25th Annual Meeting, Hawaii, 2017
32017
Bioinformatics and Biomedical Engineering: 4th International Conference, IWBBIO 2016, Granada, Spain, April 20-22, 2016, Proceedings
F Ortuńo, I Rojas
Springer, 2016
32016
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