Parallel computation of magnetic field parameters from HMI active region patches. - Sunitha Basodi; Berkay Aydin; Rafal A. Angryk (IEEE BigData, 2017)

Classification of HCV infections through sequence image normalization. - Sunitha Basodi; Pelin Burcak Icer; Pavel Skums; Yury Khudyakov; Alexander Zelikovsky; Yi Pan 001 (ICCABS, 2017)

Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features. - Chunyan Ji; Xueli Xiao; Sunitha Basodi; Yi Pan 001 (iThings/GreenCom/CPSCom/SmartData, 2019)

Using Transfer Learning, SVM, and Ensemble Classification to Classify Baby Cries Based on Their Spectrogram Images. - Lillian Le; Abu Nadim M. H. Kabir; Chunyan Ji; Sunitha Basodi; Yi Pan 001 (MASS Workshops, 2019)

Multi-view learning for benign epilepsy with centrotemporal spikes. - Ming Yan 007; Ling Liu; Sunitha Basodi; Yi Pan 001 (IET Comput. Vis., 2019)

Infant Sound Classification on Multi-stage CNNs with Hybrid Features and Prior Knowledge. - Chunyan Ji; Sunitha Basodi; Xueli Xiao; Yi Pan 001 (AIMS, 2020)

Gradient amplification: An efficient way to train deep neural networks. - Sunitha Basodi; Chunyan Ji; Haiping Zhang; Yi Pan 001 (Big Data Min. Anal., 2020)

Computational exposition of multistable rhythms in 4-cell neural circuits. - Krishna Pusuluri; Sunitha Basodi; Andrey Shilnikov (Commun. Nonlinear Sci. Numer. Simul., 2020)

Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm. - Xueli Xiao; Ming Yan 007; Sunitha Basodi; Chunyan Ji; Yi Pan 001 (CoRR, 2020)

Data integrity attack detection in smart grid: a deep learning approach. - Sunitha Basodi; Song Tan; WenZhan Song 001; Yi Pan 001 (Int. J. Secur. Networks, 2020)

Adaptive computation offloading and resource allocation strategy in a mobile edge computing environment. - Zhao Tong 001; Xiaomei Deng; Feng Ye; Sunitha Basodi; Xueli Xiao; Yi Pan 001 (Inf. Sci., 2020)

Federation of Brain Age Estimation in Structural Neuroimaging Data. - Sunitha Basodi; Rajikha Raja; Bhaskar Ray; Harshvardhan Gazula; Jingyu Liu 001; Eric Verner; Vince D. Calhoun (EMBC, 2021)

A survey on algorithms for intelligent computing and smart city applications. - Zhao Tong 001; Feng Ye; Ming Yan 007; Hong Liu; Sunitha Basodi (Big Data Min. Anal., 2021)

Decentralized Brain Age Estimation Using MRI Data. - Sunitha Basodi; Rajikha Raja; Bhaskar Ray; Harshvardhan Gazula; Anand D. Sarwate; Sergey M. Plis; Jingyu Liu 001; Eric Verner; Vince D. Calhoun (Neuroinformatics, 2022)

ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability. - Jessica A. Turner; Vince D. Calhoun; Paul M. Thompson; Neda Jahanshad; Christopher R. K. Ching; Sophia I. Thomopoulos; Eric Verner; Gregory P. Strauss; Anthony O. Ahmed; Matthew D. Turner; Sunitha Basodi; Judith M. Ford; et al. (Neuroinformatics, 2022)

Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry. - Sunitha Basodi; Rajikha Raja; Harshvardhan Gazula; Javier Tomas Romero; Sandeep R. Panta; Vince D. Calhoun (ISBI, 2023)

Intelligent gradient amplification for deep neural networks. - Sunitha Basodi; Krishna Pusuluri; Xueli Xiao; Yi Pan 001 (CoRR, 2023)

Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. - Dylan Martin; Sunitha Basodi; Sandeep R. Panta; Kelly Rootes-Murdy; Paul Prae; Anand D. Sarwate; Ross Kelly; Javier Tomas Romero; Bradley T. Baker; Harshvardhan Gazula; Henry Jeremy Bockholt; Jessica A. Turner; et al. (Frontiers Neuroinformatics, 2023)

Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. - Harshvardhan Gazula; Kelly Rootes-Murdy; Bharath Holla; Sunitha Basodi; Zuo Zhang; Eric Verner; Ross Kelly; Pratima Murthy; Amit Chakrabarti; Debasish Basu; Subodh Bhagyalakshmi Nanjayya; Rajkumar Lenin Singh; et al. (Neuroinformatics, 2023)

Advanced machine learning in neuroimaging studies via federated learning. - Sunitha Basodi; Javier Tomas Romero; Sandeep R. Panta; Dylan Martin; Sergey M. Plis; Anand D. Sarwate; Vince D. Calhoun (IEEE Big Data, 2024)

Decentralized Mixed Effects Modeling in COINSTAC. - Sunitha Basodi; Rajikha Raja; Harshvardhan Gazula; Javier Tomas Romero; Sandeep R. Panta; Thomas Maullin-Sapey; Thomas E. Nichols; Vince D. Calhoun (Neuroinformatics, 2024)

Decentralized ComBat-Mega for Harmonizing FNC Data in Coinstac. - Sunitha Basodi; Charles A. Ellis; Biozid Bostami; Frank G. Hillary; Sandeep R. Panta; Vince D. Calhoun (ISBI, 2025)

Federated Analysis of Neuroimaging Data Using Coinstac. - Sunitha Basodi; Ross Kelly; Javier Tomas Romero; Dylan Martin; Sandeep R. Panta; Sergey M. Plis; Anand D. Sarwate; Vince D. Calhoun (ISBI, 2025)