Ajay Gupta

发表

Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment

Nilanjan Dey, Jasjit S. Suri, Luca Saba, 2017, Comput. Methods Programs Biomed..

Fog-based local and remote policy enforcement for preserving data privacy in the Internet of Things

Abduljaleel Al-Hasnawi, Ajay Gupta, Steven M. Carr, 2019, Internet Things.

Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm

Ayman El-Baz, Jasjit S. Suri, Luca Saba, 2017, Comput. Biol. Medicine.

TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion

Junzhou Huang, Pina C. Sanelli, Ruogu Fang, 2017, Neurocomputing.

Removal of Open Safety Pin in Larynx: A Challenging Event for an Otolaryngologist

Alok Kumar, Ajay Gupta, Kp Dubey, 2013 .

Ensembling Low Precision Models for Binary Biomedical Image Segmentation

Yi Wang, Tianyu Ma, Hang Zhang, 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Population-Based Input Function for TSPO Quantification and Kinetic Modeling with [11C]-DPA-713

Nicolas A. Karakatsanis, Susan A. Gauthier, Claire Henchcliffe, 2021 .

Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2018, Diabetes research and clinical practice.

Magnetic susceptibility increases as diamagnetic molecules breakdown: Myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM

Pascal Spincemaille, Yi Wang, David Pitt, 2018, Journal of magnetic resonance imaging : JMRI.

Extracranial internal carotid artery calcium volume measurement using computer tomography.

Jasjit S Suri, Andrew Nicolaides, O. M. Rijal, 2017, International angiology : a journal of the International Union of Angiology.

Longitudinal change in magnetic susceptibility of new enhanced multiple sclerosis (MS) lesions measured on serial quantitative susceptibility mapping (QSM)

Yan Zhang, Yi Wang, Wenzhen Zhu, 2016, Journal of magnetic resonance imaging : JMRI.

Multiple sclerosis lesion geometry in quantitative susceptibility mapping (QSM) and phase imaging

Yi Wang, Pascal Spincemaille, Tian Liu, 2015, Journal of magnetic resonance imaging : JMRI.

A Review on Atherosclerotic Biology, Wall Stiffness, Physics of Elasticity, and Its Ultrasound-Based Measurement

Jasjit S Suri, Andrew Nicolaides, Harman S. Suri, 2016, Current Atherosclerosis Reports.

Quantitative susceptibility mapping‐based cerebral metabolic rate of oxygen mapping with minimum local variance

Pascal Spincemaille, Junghun Cho, Yi Wang, 2018, Magnetic resonance in medicine.

A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2019, Cardiovascular diagnosis and therapy.

Plaque Echolucency and Stroke Risk in Asymptomatic Carotid Stenosis: A Systematic Review and Meta-Analysis

Jasjit S. Suri, Pina C. Sanelli, Alvin I. Mushlin, 2015, Stroke.

A Review on Carotid Ultrasound Atherosclerotic Tissue Characterization and Stroke Risk Stratification in Machine Learning Framework

P Krishna Kumar, Jeny Rajan, Jasjit S Suri, 2015, Current Atherosclerosis Reports.

Cerebrovascular Reserve and Stroke Risk in Patients With Carotid Stenosis or Occlusion: A Systematic Review and Meta-Analysis

Diana Delgado, Pina C Sanelli, Ajay Gupta, 2012, Stroke.

MRI perfusion in determining pseudoprogression in patients with glioblastoma.

Timothy A. Chan, Ajay Gupta, Robert J. Young, 2013, Clinical imaging.

A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography.

Subhi Al'Aref, Ajay Gupta, James K Min, 2018, JACC. Cardiovascular imaging.

MR perfusion-weighted imaging in the evaluation of high-grade gliomas after treatment: a systematic review and meta-analysis

Diana Delgado, Ajay Gupta, Hediyeh Baradaran, 2017, Neuro-oncology.

On the influence of zero-padding on the nonlinear operations in Quantitative Susceptibility Mapping.

Pascal Spincemaille, Tian Liu, Yi Wang, 2017, Magnetic resonance imaging.

Ultrasound-Based Automated Carotid Lumen Diameter/Stenosis Measurement and its Validation System

Jasjit S. Suri, Jeny Rajan, Tadashi Araki, 2016 .

Carotid artery stenosis: cost-effectiveness of assessment of cerebrovascular reserve to guide treatment of asymptomatic patients.

Pina C Sanelli, Ajay Gupta, Ankur Pandya, 2015, Radiology.

Neuroimaging of cerebrovascular disease in the aging brain.

Pina C Sanelli, Ajay Gupta, Carl E. Johnson, 2012, Aging and disease.

Carotid inter‐adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis

Jeny Rajan, Tadashi Araki, Andrew Nicolaides, 2016, Journal of clinical ultrasound : JCU.

High-resolution QSM for functional and structural depiction of subthalamic nuclei in DBS presurgical mapping.

Yi Wang, Ajay Gupta, Yi Wang, 2019, Journal of neurosurgery.

The clinical utility of QSM: disease diagnosis, medical management, and surgical planning

Yi Wang, Ajay Gupta, Alexey Dimov, 2017, NMR in biomedicine.

Diagnostic accuracy of semiautomatic lesion detection plus quantitative susceptibility mapping in the identification of new and enhancing multiple sclerosis lesions

Susan A. Gauthier, Yi Wang, Yize Zhao, 2018, NeuroImage: Clinical.

Cerebral metabolic rate of oxygen (CMRO2) mapping with hyperventilation challenge using quantitative susceptibility mapping (QSM)

Pascal Spincemaille, Yi Wang, Ajay Gupta, 2017, Magnetic resonance in medicine.

Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study

Jasjit S Suri, Deep Gupta, Ankush D. Jamthikar, 2019, Echocardiography.

Cerebral metabolic rate of oxygen (CMRO2) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level‐dependent imaging (qBOLD)

Pascal Spincemaille, Youngwook Kee, Junghun Cho, 2018, Magnetic resonance in medicine.

Clinical Integration of Quantitative Susceptibility Mapping Magnetic Resonance Imaging into Neurosurgical Practice.

Pascal Spincemaille, Yi Wang, S. Kathleen Bandt, 2019, World neurosurgery.

The present and future of deep learning in radiology.

Jasjit S. Suri, Damodar Reddy Edla, Narendra N. Khanna, 2019, European journal of radiology.

Quantitative susceptibility mapping of the motor cortex in amyotrophic lateral sclerosis and primary lateral sclerosis.

Tian Liu, Yi Wang, Ajay Gupta, 2015, AJR. American journal of roentgenology.

Quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) using quantitative susceptibility mapping (QSM)

Pascal Spincemaille, Tian Liu, Yi Wang, 2015, Magnetic resonance in medicine.

Carotid Plaque MRI and Stroke Risk: A Systematic Review and Meta-analysis

Pina C. Sanelli, Diana Delgado, Alvin I. Mushlin, 2013, Stroke.

Quantification of cerebral perfusion using dynamic quantitative susceptibility mapping

Pascal Spincemaille, Tian Liu, Yi Wang, 2015, Magnetic resonance in medicine.

A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography

Jasjit S. Suri, Deep Gupta, Narendra N. Khanna, 2019, Current Atherosclerosis Reports.