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Kalijah Terilli
Kalijah Terilli
Stanford University School of Medicine
Verified email at stanford.edu
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Cited by
Year
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
292019
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
262021
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
252020
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
182019
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
152020
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
132021
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
102023
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
102020
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, 339909, 2018
102018
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
82022
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
72018
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
52023
Dynamic intracranial pressure waveform morphology predicts ventriculitis
M Megjhani, K Terilli, L Kalasapudi, J Chen, J Carlson, S Miller, ...
Neurocritical care, 1-8, 2022
52022
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
42022
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
32020
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
22021
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
22020
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), 2018
12018
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
2023
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