| Dynamic brain connectivity is a better predictor of PTSD than static connectivity C Jin, H Jia, P Lanka, D Rangaprakash, L Li, T Liu, X Hu, G Deshpande Human brain mapping 38 (9), 4479-4496, 2017 | 123 | 2017 |
| Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets P Lanka, D Rangaprakash, MN Dretsch, JS Katz, TS Denney, ... Brain imaging and behavior 14, 2378-2416, 2020 | 81 | 2020 |
| Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject level L Palaniyappan, G Deshpande, P Lanka, D Rangaprakash, S Iwabuchi, ... Schizophrenia research 214, 24-33, 2019 | 59 | 2019 |
| MALINI (Machine Learning in NeuroImaging): A MATLAB toolbox for aiding clinical diagnostics using resting-state fMRI data P Lanka, D Rangaprakash, SSR Gotoor, MN Dretsch, JS Katz, ... Data in brief 29, 105213, 2020 | 24 | 2020 |
| Combining Prospective Acquisition CorrEction (PACE) with retrospective correction to reduce motion artifacts in resting state fMRI data P Lanka, G Deshpande Brain and behavior 9 (8), e01341, 2019 | 17 | 2019 |
| Correction of global physiology in resting-state functional near-infrared spectroscopy P Lanka, H Bortfeld, TJ Huppert Neurophotonics 9 (3), 035003-035003, 2022 | 10 | 2022 |
| Resting state fMRI data from subjects scanned with the EPI-PACE (Echoplanar Imaging–Prospective Acquisition CorrEction) sequence P Lanka, G Deshpande Data in brief 20, 2072-2075, 2018 | 5 | 2018 |
| Multiple levels of contextual influence on action-based timing behavior and cortical activation A Rahimpour Jounghani, P Lanka, L Pollonini, S Proksch, ... Scientific Reports 13 (1), 7154, 2023 | 4 | 2023 |
| Resting-state functional near-infrared spectroscopy: analytical challenges P Lanka University of California, Merced, 2022 | | 2022 |
| Challenges in Resting State Functional Connectivity Analysis: Removal of Head Motion Artifacts and Machine Learning-Based Disease Classification P Lanka Auburn University, 2017 | | 2017 |
| Perils in the Use of Cross-validation for Performance Estimation in Neuroimaging-based Diagnostic Classification P Lanka, D Rangaprakash, G Deshpande | | |
