| Ghostbusters for MRS: automatic detection of ghosting artifacts using deep learning S Kyathanahally, A Doering, R Kreis ISMRM 25th Annual Meeting, Hawaii, 2017 | 100* | 2017 |
| 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 | 43 | 2015 |
| 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 | 34 | 2022 |
| 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 | 28 | 2018 |
| 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 | 27 | 2017 |
| Deep Learning Classification of Lake Zooplankton SP Kyathanahally, T Hardeman, E Merz, T Bulas, M Reyes, P Isles, ... Frontiers in Microbiology, 2021 | 24 | 2021 |
| Tracking the neurodegenerative gradient after spinal cord injury M Azzarito, M Seif, S Kyathanahally, A Curt, P Freund NeuroImage: Clinical 26, 102221, 2020 | 24 | 2020 |
| 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 | 17 | 2016 |
| 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 | 13 | 2022 |
| 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 | 13 | 2021 |
| Automated quality control for proton magnetic resonance spectroscopy data using convex non-negative matrix factorization V Mocioiu, SP Kyathanahally, C Arús, A Vellido, M Julià-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 | 12 | 2021 |
| 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 | 11 | 2023 |
| 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 | 11 | 2017 |
| 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 | 8 | 2023 |
| 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 | 7 | 2022 |
| Ensembles of vision transformers as a new paradigm for automated classification in ecology S Kyathanahally, T Hardeman, M Reyes, E Merz, T Bulas, P Brun, ... arXiv preprint arXiv:2203.01726, 2022 | 6 | 2022 |
| Deep learning classification of lake zooplankton Front SP Kyathanahally, T Hardeman, E Merz, T Bulas, M Reyes, P Isles, ... Microbiol 12, 3226-3238, 2021 | 5 | 2021 |
| 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 | 5 | 2017 |
| 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 | 5 | 2015 |
