| Predicting delayed cerebral ischemia after subarachnoid hemorrhage using physiological time series data S Park, M Megjhani, HP Frey, E Grave, C Wiggins, KL Terilli, DJ Roh, ... Journal of clinical monitoring and computing 33, 95-105, 2019 | 32 | 2019 |
| Heart rate variability as a biomarker of neurocardiogenic injury after subarachnoid hemorrhage M Megjhani, F Kaffashi, K Terilli, A Alkhachroum, B Esmaeili, KW Doyle, ... Neurocritical care 32, 162-171, 2020 | 31 | 2020 |
| Dynamic detection of delayed cerebral ischemia: a study in 3 centers M Megjhani, K Terilli, M Weiss, J Savarraj, LH Chen, A Alkhachroum, ... Stroke 52 (4), 1370-1379, 2021 | 30 | 2021 |
| An active learning framework for enhancing identification of non-artifactual intracranial pressure waveforms M Megjhani, A Alkhachroum, K Terilli, J Ford, C Rubinos, J Kromm, ... Physiological measurement 40 (1), 015002, 2019 | 23 | 2019 |
| Optimal cerebral perfusion pressure and brain tissue oxygen in aneurysmal subarachnoid hemorrhage M Megjhani, M Weiss, J Ford, K Terilli, N Kastenholz, D Nametz, SB Kwon, ... Stroke 54 (1), 189-197, 2023 | 20 | 2023 |
| Hyperemia in subarachnoid hemorrhage patients is associated with an increased risk of seizures A Alkhachroum, M Megjhani, K Terilli, C Rubinos, J Ford, BK Wallace, ... Journal of Cerebral Blood Flow & Metabolism 40 (6), 1290-1299, 2020 | 19 | 2020 |
| Identification of endotypes of hospitalized COVID-19 patients BL Ranard, M Megjhani, K Terilli, K Doyle, J Claassen, MR Pinsky, ... Frontiers in medicine 8, 770343, 2021 | 18 | 2021 |
| Harnessing big data in neurocritical care in the era of precision medicine A Alkhachroum, K Terilli, M Megjhani, S Park Current Treatment Options in Neurology 22, 1-24, 2020 | 11 | 2020 |
| Incorporating high-frequency physiologic data using computational dictionary learning improves prediction of delayed cerebral ischemia compared to existing methods M Megjhani, K Terilli, HP Frey, AG Velazquez, KW Doyle, ES Connolly, ... Frontiers in Neurology 9, 122, 2018 | 10 | 2018 |
| A deep learning framework for deriving noninvasive intracranial pressure waveforms from transcranial Doppler M Megjhani, K Terilli, B Weinerman, D Nametz, SB Kwon, A Velazquez, ... Annals of Neurology 94 (1), 196-202, 2023 | 9 | 2023 |
| Predicting shunt dependency from the effect of cerebrospinal fluid drainage on ventricular size C Rubinos, SB Kwon, M Megjhani, K Terilli, B Wong, L Cespedes, J Ford, ... Neurocritical care 37 (3), 670-677, 2022 | 9 | 2022 |
| Dynamic intracranial pressure waveform morphology predicts ventriculitis M Megjhani, K Terilli, L Kalasapudi, J Chen, J Carlson, S Miller, ... Neurocritical care, 1-8, 2022 | 7 | 2022 |
| Deriving the PRx and CPPopt from 0.2-Hz data: establishing generalizability to bedmaster users M Megjhani, K Terilli, A Martin, A Velazquez, J Claassen, D Roh, ... Intracranial Pressure & Neuromonitoring XVI, 179-182, 2018 | 7 | 2018 |
| Heart rate variability and adrenal size provide clues to sudden cardiac death in hospitalized COVID-19 patients BL Ranard, M Megjhani, K Terilli, H Yarmohammadi, J Ausiello, S Park Journal of Critical Care 71, 154114, 2022 | 4 | 2022 |
| Surface point cloud ultrasound with transcranial Doppler: coregistration of surface point cloud ultrasound with magnetic resonance angiography for improved reproducibility … JN Stember, KL Terilli, E Perez, M Megjhani, CA Cooper, S Jambawalikar, ... Journal of Digital Imaging 33, 930-936, 2020 | 3 | 2020 |
| Use of clustering to investigate changes in intracranial pressure waveform morphology in patients with ventriculitis M Megjhani, K Terilli, A Kaplan, BK Wallace, A Alkhachroum, X Hu, S Park Intracranial Pressure and Neuromonitoring XVII, 59-62, 2021 | 2 | 2021 |
| Dynamic Detection of Delayed Cerebral Ischemia Using Machine Learning M Megjhani, K Terilli, A Alkhachroum, DJ Roh, S Agarwal, ES Connolly Jr, ... medRxiv, 2020.04. 15.20067041, 2020 | 2 | 2020 |
| Automatic identification of intracranial pressure waveform during external ventricular drainage clamping: segmentation via wavelet analysis M Megjhani, K Terilli, SB Kwon, D Nametz, B Weinerman, A Velazquez, ... Physiological Measurement 44 (6), 064002, 2023 | 1 | 2023 |
| Brain tissue oxygenation as an adjunctive monitor for determining optimal cerebral perfusion pressure in subarachnoid hemorrhage patients (P4. 297) J Ford, S Park, A Boehme, M Megjhani, K Terilli Neurology 90 (15_supplement), P4. 297, 2018 | 1 | 2018 |
