Sahil Nalawade - Concepedia

Author

Sahil Nalawade

The University of Texas Southwestern Medical Center ORCID

Also Known As

Dr. S Nalawade, Nalawade, Sahil, S Nalawade, S. Nalawade, S.S. Nalawade, Sahil Nalawade, Sahil S Nalawade, Sahil S. Nalawade, Sahil Sunil Nalawade

Publications

994

Citations

H-Index

Concepts

All Affiliations

The University of Texas Southwestern Medical Center The University of Texas at Dallas Neurological Surgery Advanced Imaging Research (United States)

About

Sahil Nalawade is an author at The University of Texas Southwestern Medical Center specializing in medicine, neuroscience, and neurology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	7	7	445
2	Engineering	5	5	180
3	Health Sciences	1	1	197
4	Humanities	1	1	21
5	Public Health	1	1	17

Sahil Nalawade

Publications

891

Citations

H-Index

Page 1

	Year	Citations
Up-regulation of cerebral cytochrome-c-oxidase and hemodynamics by transcranial infrared laser stimulation: A broadband near-infrared spectroscopy study Xinlong Wang, Fenghua Tian, Divya D. Reddy, Journal of Cerebral Blood Flow & Metabolism Neuromodulation TherapiesOptogeneticsCerebral Vascular RegulationLight ReflectanceNeurology	2017	197
Retracted: A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas Chandan Ganesh Bangalore Yogananda, Bhavya Shah, Maryam Vejdani‐Jahromi, Neuro-Oncology	2019	134
Federated benchmarking of medical artificial intelligence with MedPerf Alexandros Karargyris, Renato Umeton, Micah Sheller, Nature Machine Intelligence	2023	106
MRI-Based Deep-Learning Method for Determining Glioma <i>MGMT</i> Promoter Methylation Status Chandan Ganesh Bangalore Yogananda, Bhavya Shah, Sahil Nalawade, American Journal of Neuroradiology	2021	95
A Fully Automated Deep Learning Network for Brain Tumor Segmentation Chandan Ganesh Bangalore Yogananda, Bhavya Shah, Maryam Vejdani‐Jahromi, Tomography Convolutional Neural NetworkEngineeringMachine LearningBrain Tumor SegmentationGlioma	2020	89
Impact of heat on metabolic and hemodynamic changes in transcranial infrared laser stimulation measured by broadband near-infrared spectroscopy Xinlong Wang, Divya D. Reddy, Sahil Nalawade, Neurophotonics Laser ApplicationsThermal TherapyBroadband Near-infrared SpectroscopyOptogeneticsSocial Sciences	2017	68
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results Raghav Mehta, Angelos Filos, Ujjwal Baid, The Journal of Machine Learning for Biomedical Imaging	2022	46
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas Chandan Ganesh Bangalore Yogananda, Bhavya Shah, Frank Yu, Neuro-Oncology Advances	2020	44
Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning Sahil Nalawade, Gowtham Krishnan Murugesan, Maryam Vejdani‐Jahromi, Journal of Medical Imaging EngineeringGliomaData LeakageMagnetic Resonance ImagingDiagnostic Imaging	2019	34
A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas Chandan Ganesh Bangalore Yogananda, Bhavya Shah, Maryam Vejdani‐Jahromi, EngineeringBrain GliomasGliomaNeuro-oncologyComparative Literature	2019	21

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