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ORCIDSreenath P. Kyathanahally
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2020 – today
- 2024
[i3]Cheng Chen, Sreenath P. Kyathanahally, Marta Reyes, Stefanie Merkli, Ewa Merz, Emanuele Francazi, Marvin Höge, Francesco Pomati, Marco Baity-Jesi:
Producing Plankton Classifiers that are Robust to Dataset Shift. CoRR abs/2401.14256 (2024)- 2022
- [c2]Rudy Rizzo
, Martyna Dziadosz, Sreenath P. Kyathanahally, Mauricio Reyes, Roland Kreis:
Reliability of Quantification Estimates in MR Spectroscopy: CNNs vs Traditional Model Fitting. MICCAI (8) 2022: 715-724 - [i2]Sreenath P. Kyathanahally, Thomas Hardeman, Marta Reyes, Ewa Merz, Thea Bulas, Francesco Pomati, Marco Baity-Jesi:
Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology. CoRR abs/2203.01726 (2022) - 2021
- [i1]Sreenath P. Kyathanahally, Thomas Hardeman, Ewa Merz, Thea Kozakiewicz, Marta Reyes, Peter Isles, Francesco Pomati, Marco Baity-Jesi:
Deep Learning Classification of Lake Zooplankton. CoRR abs/2108.05258 (2021)
2010 – 2019
- 2017
- [j2]Sreenath P. Kyathanahally, Yun Wang, Vince D. Calhoun, Gopikrishna Deshpande:
Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data. Frontiers Neuroinformatics 11: 74 (2017) - [j1]Sreenath P. Kyathanahally, Ana Franco-Watkins, Xiaoxia Zhang, Vince D. Calhoun, Gopikrishna Deshpande:
A Realistic Framework for Investigating Decision Making in the Brain With High Spatiotemporal Resolution Using Simultaneous EEG/fMRI and Joint ICA. IEEE J. Biomed. Health Informatics 21(3): 814-825 (2017) - 2016
- [c1]Victor Mocioiu, Sreenath P. Kyathanahally, Carles Arús, Alfredo Vellido, Margarida Julià-Sapé:
Automated Quality Control for Proton Magnetic Resonance Spectroscopy Data Using Convex Non-negative Matrix Factorization. IWBBIO 2016: 719-727
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