Automated Quality Control for Proton Magnetic Resonance Spectroscopy Data Using Convex Non-negative Matrix Factorization. - Victor Mocioiu; Sreenath P. Kyathanahally; Carles Arús; Alfredo Vellido; Margarida Julià-Sapé (IWBBIO, 2016)

Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data. - Sreenath P. Kyathanahally; Yun Wang; Vince D. Calhoun; Gopikrishna Deshpande (Frontiers Neuroinformatics, 2017)

A Realistic Framework for Investigating Decision Making in the Brain With High Spatiotemporal Resolution Using Simultaneous EEG/fMRI and Joint ICA. - Sreenath P. Kyathanahally; Ana Franco-Watkins; Xiaoxia Zhang; Vince D. Calhoun; Gopikrishna Deshpande (IEEE J. Biomed. Health Informatics, 2017)

Deep Learning Classification of Lake Zooplankton. - Sreenath P. Kyathanahally; Thomas Hardeman; Ewa Merz; Thea Kozakiewicz; Marta Reyes; Peter Isles; Francesco Pomati; Marco Baity-Jesi (CoRR, 2021)

Reliability of Quantification Estimates in MR Spectroscopy: CNNs vs Traditional Model Fitting. - Rudy Rizzo; Martyna Dziadosz; Sreenath P. Kyathanahally; Mauricio Reyes 001; Roland Kreis (MICCAI (8), 2022)

Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology. - Sreenath P. Kyathanahally; Thomas Hardeman; Marta Reyes; Ewa Merz; Thea Bulas; Francesco Pomati; Marco Baity-Jesi (CoRR, 2022)

Producing Plankton Classifiers that are Robust to Dataset Shift. - Cheng Chen; Sreenath P. Kyathanahally; Marta Reyes; Stefanie Merkli; Ewa Merz; Emanuele Francazi; Marvin Höge; Francesco Pomati; Marco Baity-Jesi (CoRR, 2024)