His primary areas of investigation include Artificial intelligence, Computer vision, Pattern recognition, Support vector machine and Image segmentation. His Artificial intelligence research integrates issues from Machine learning and Ultrasound. The Computer vision study which covers Medical imaging that intersects with Object, Reference frame, Motion correction, Image enhancement and Noise reduction.
His Pattern recognition research includes elements of Sample entropy, Frequency domain and Approximate entropy. His studies in Support vector machine integrate themes in fields like Speech recognition and Electroencephalography. His work deals with themes such as Fuzzy set and Algorithm, which intersect with Image segmentation.
The scientist’s investigation covers issues in Artificial intelligence, Radiology, Computer vision, Ultrasound and Pattern recognition. His work on Machine learning expands to the thematically related Artificial intelligence. Jasjit S. Suri has included themes like Cancer, Prostate and Asymptomatic in his Radiology study.
The Computer vision study combines topics in areas such as Volume and Medical imaging. His work carried out in the field of Ultrasound brings together such families of science as Carotid arteries, Common carotid artery, Nuclear medicine, Stroke and Biomedical engineering. Pattern recognition and Contextual image classification are frequently intertwined in his study.
Jasjit S. Suri spends much of his time researching Artificial intelligence, Internal medicine, Stroke, Cardiology and Disease. The various areas that Jasjit S. Suri examines in his Artificial intelligence study include Machine learning, Ultrasound and Pattern recognition. His Ultrasound study integrates concerns from other disciplines, such as Asymptomatic, Medical imaging and Lipid core.
The study incorporates disciplines such as Diabetes mellitus and Differential diagnosis in addition to Internal medicine. His Stroke research includes themes of Odds ratio, Framingham Risk Score, Receiver operating characteristic, Risk assessment and Intima-media thickness. Jasjit S. Suri focuses mostly in the field of Disease, narrowing it down to topics relating to Stroke risk and, in certain cases, Risk stratification and Mean age.
His primary areas of study are Artificial intelligence, Stroke, Internal medicine, Risk assessment and Cardiology. Artificial intelligence is closely attributed to Machine learning in his work. His research in Stroke intersects with topics in Intima-media thickness, Ultrasound and Receiver operating characteristic.
Jasjit S. Suri interconnects Angiology and Disease in the investigation of issues within Risk assessment. Jasjit S. Suri combines subjects such as Body mass index and Asymptomatic with his study of Cardiology. His studies deal with areas such as Ranking, Feature selection and Wilcoxon signed-rank test as well as Support vector machine.
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Heart rate variability: a review
U. Rajendra Acharya;K. Paul Joseph;N. Kannathal;Choo Min Lim.
Medical & Biological Engineering & Computing (2006)
Heart Rate Variability
U. Rajendra Acharya;K Paul Joseph;N. Kannathal;Lim Choo Min.
Automated diagnosis of epileptic EEG using entropies
U. Rajendra Acharya;Filippo Molinari;S. Vinitha Sree;Subhagata Chattopadhyay.
Biomedical Signal Processing and Control (2012)
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
J.S. Suri;Kecheng Liu;S. Singh;S.N. Laxminarayan.
international conference of the ieee engineering in medicine and biology society (2002)
Automated EEG analysis of epilepsy: A review
U. Rajendra Acharya;S. Vinitha Sree;G. Swapna;Roshan Joy Martis.
Knowledge Based Systems (2013)
Handbook of Texture Analysis
Majid Mirmehdi;Xianghua Xie;Jasjit Suri.
Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review
Oliver Faust;U Rajendra Acharya;E. Y. Ng;Kwan-Hoong Ng.
Journal of Medical Systems (2012)
Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.
U. Rajendra Acharya;S. Vinitha Sree;Peng Chuan Alvin Ang;Ratna Yanti.
International Journal of Neural Systems (2012)
Review: A state of the art review on intima-media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound
Filippo Molinari;Guang Zeng;Jasjit S. Suri.
Computer Methods and Programs in Biomedicine (2010)
Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features
Muthu Rama Krishnan Mookiah;U. Rajendra Acharya;Choo Min Lim;Andrea Petznick.
Knowledge Based Systems (2012)
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