Marco C. Pinho - Concepedia

Author

Marco C. Pinho

The University of Texas Southwestern Medical Center ORCID

Also Known As

Dan Ishihara, M.D, Ph.D, Hisham Salahuddin, Kite, Dominic, M. C. Pinho, M. Pinho, M.C. Pinho, Marco Aurélio Pinho de Oliveira, Marco C Pinho, Marco C. Pinho, Marco Da Cunha Pinho

159

Publications

3.9K

Citations

H-Index

Concepts

All Affiliations

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

About

Marco C. Pinho is an author at The University of Texas Southwestern Medical Center specializing in medicine, neurology, and radiology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	16	21	1.2K
2	Engineering	9	9	281
3	Health Sciences	6	6	424
4	Public Health	2	2	60
5	Humanities	1	1	21

Marco C. Pinho

Publications

3.3K

Citations

H-Index

Page 1

	Year	Citations
Improved tumor oxygenation and survival in glioblastoma patients who show increased blood perfusion after cediranib and chemoradiation Tracy T. Batchelor, Elizabeth R. Gerstner, Kyrre E. Emblem, Proceedings of the National Academy of Sciences Tumor InnervationBlood PerfusionHigh-grade GliomasGliomaTumor Biology	2013	335
Federated learning enables big data for rare cancer boundary detection Sarthak Pati, Ujjwal Baid, Brandon Edwards, Nature Communications	2022	306
Solid stress in brain tumours causes neuronal loss and neurological dysfunction and can be reversed by lithium Giorgio Seano, Hadi T. Nia, Kyrre E. Emblem, Nature Biomedical Engineering Neuro-oncologySolid StressTumor InnervationStressBrain Tumours	2018	192
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement Ken Chang, Andrew Beers, Harrison X. Bai, Neuro-Oncology	2019	168
Cerebrovascular reactivity mapping without gas challenges Peiying Liu, Yang Li, Marco C. Pinho, NeuroImage Cerebral Vascular RegulationVascular ImageVascular BiologyElectrophysiologyBiomedical Engineering	2016	140
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
Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study Pallavi Tiwari, Prateek Prasanna, Leo Wolansky, American Journal of Neuroradiology	2016	120
A Generic Support Vector Machine Model for Preoperative Glioma Survival Associations Kyrre E. Emblem, Marco C. Pinho, Frank G. Zöllner, Radiology	2014	110
Multiparametric estimation of brain hemodynamics with MR fingerprinting ASL Pan Su, Deng Mao, Peiying Liu, Magnetic Resonance in Medicine	2016	99
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

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