Azim Laiwalla - Concepedia

Author

Azim Laiwalla

University of California, Los Angeles ORCID

Also Known As

A.N. Laiwalla, Azim Laiwalla, Azim N Laiwalla, Azim N. Laiwalla

Publications

269

Citations

H-Index

Concepts

All Affiliations

University of California, Los Angeles

About

Azim Laiwalla is an author at University of California, Los Angeles specializing in neurology, medicine, and medical image computing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	2	2	71
2	Engineering	1	1	15
3	Health Sciences	1	1	15
4	Public Health	1	1	49
5	Social Sciences	1	1	22

Azim Laiwalla

Publications

204

Citations

H-Index

Page 1

	Year	Citations
Matched Cohort Analysis of the Effects of Limb Remote Ischemic Conditioning in Patients with Aneurysmal Subarachnoid Hemorrhage Azim Laiwalla, Yinn Cher Ooi, Raymond Liou, Translational Stroke Research ThrombosisIschemic StrokeCardiovascular DiseaseAneurysmal Subarachnoid HemorrhageMedicine	2015	49
Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning Bayard Wilson, Bilwaj Gaonkar, Bryan Yoo, Neurosurgery	2021	39
Remote Ischemic Conditioning Alters Methylation and Expression of Cell Cycle Genes in Aneurysmal Subarachnoid Hemorrhage Elina Nikkola, Azim Laiwalla, Arthur Ko, Stroke	2015	30
pH-weighted molecular MRI in human traumatic brain injury (TBI) using amine proton chemical exchange saturation transfer echoplanar imaging (CEST EPI) Benjamin M. Ellingson, Jingwen Yao, Catalina Raymond, NeuroImage Clinical	2019	28
Compensatory brainstem functional and structural connectivity in patients with degenerative cervical myelopathy by probabilistic tractography and functional MRI Chencai Wang, Azim Laiwalla, Noriko Salamon, Brain Research NeurorehabilitationSpinal Cord InjuryStructural ConnectivityNeuroanatomyNeurological Function	2020	22
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation Bilwaj Gaonkar, Joel Beckett, Mark Attiah, Medical Image Analysis Medical Image SegmentationImage AnalysisMachine LearningData ScienceMedical Imaging	2020	15
Lumbar Spinal Canal Segmentation in Cases with Lumbar Stenosis Using Deep-U-Net Ensembles Azim Laiwalla, Anshul Ratnaparkhi, David Zarrin, World Neurosurgery	2023	11
Neurosurgical Management of Interspinous Device Complications: A Case Series TJ Florence, Irene Say, Kunal Patel, Frontiers in Surgery	2022	10

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