2017 - Fellow of the Indian National Academy of Engineering (INAE)
Krishna S. Nayak mostly deals with Magnetic resonance imaging, Artificial intelligence, Computer vision, Nuclear magnetic resonance and Adipose tissue. His research integrates issues of Medical physics and Pathology in his study of Magnetic resonance imaging. Krishna S. Nayak combines subjects such as Algorithm, Noise and Microphone with his study of Artificial intelligence.
He has researched Computer vision in several fields, including Perspective and Speech production. The concepts of his Nuclear magnetic resonance study are interwoven with issues in Imaging phantom, Cardiac imaging and Signal. His work on White adipose tissue as part of general Adipose tissue research is often related to Fat content, thus linking different fields of science.
His scientific interests lie mostly in Artificial intelligence, Magnetic resonance imaging, Computer vision, Nuclear magnetic resonance and Internal medicine. His work deals with themes such as Real-time MRI and Speech production, which intersect with Artificial intelligence. His Magnetic resonance imaging research incorporates elements of Myocardial perfusion imaging, Nuclear medicine, Pathology, Adipose tissue and Biomedical engineering.
The study incorporates disciplines such as Temporal resolution and Vocal tract in addition to Computer vision. His Nuclear magnetic resonance study combines topics from a wide range of disciplines, such as Steady-state free precession imaging, Imaging phantom, Image resolution and Signal. His Internal medicine research is multidisciplinary, incorporating perspectives in Diabetes mellitus, Endocrinology and Cardiology.
Krishna S. Nayak mainly investigates Artificial intelligence, Computer vision, Real-time MRI, Spiral and Magnetic resonance imaging. He frequently studies issues relating to Pattern recognition and Artificial intelligence. In his articles, he combines various disciplines, including Computer vision and Rank.
His research in Real-time MRI intersects with topics in Speech production, Vocal tract and Artifact. His Magnetic resonance imaging research includes themes of Imaging phantom, Ischemia and Pathology. While the research belongs to areas of Imaging phantom, Krishna S. Nayak spends his time largely on the problem of Luminance, intersecting his research to questions surrounding Nuclear magnetic resonance.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Real-time MRI, Perfusion and Speech production. His research on Artificial intelligence frequently links to adjacent areas such as Field. Krishna S. Nayak performs integrative Computer vision and Spiral research in his work.
His studies in Real-time MRI integrate themes in fields like Image quality, Context and Metric. His work carried out in the field of Perfusion brings together such families of science as Communication noise, Pulse wave and Arterial blood. His Speech production research incorporates themes from Phase sensitive, Cued speech, Phase, American English and Contrast-to-noise ratio.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI.
Hong Jung;Kyunghyun Sung;Krishna S. Nayak;Eung Yeop Kim.
Magnetic Resonance in Medicine (2009)
Saturated double-angle method for rapid B1+ mapping.
Charles H. Cunningham;John M. Pauly;Krishna S. Nayak.
Magnetic Resonance in Medicine (2006)
An approach to real-time magnetic resonance imaging for speech production.
Shrikanth Narayanan;Krishna Nayak;Sungbok Lee;Abhinav Sethy.
Journal of the Acoustical Society of America (2003)
Myocardial first-pass perfusion cardiovascular magnetic resonance: history, theory, and current state of the art.
Bernhard L Gerber;Subha V Raman;Krishna Nayak;Frederick H Epstein.
Journal of Cardiovascular Magnetic Resonance (2008)
System and method for fixed-rate block-based image compression with inferred pixel values
Iourcha Konstantine;Nayak Krishna S;Hong Zhou.
Comparison of fat-water MRI and single-voxel MRS in the assessment of hepatic and pancreatic fat fractions in humans.
Houchun H. Hu;Hee-Won Kim;Krishna S. Nayak;Michael I. Goran.
Cardiovascular magnetic resonance phase contrast imaging
Krishna S. Nayak;Jon Fredrik Nielsen;Matt A. Bernstein;Michael Markl.
Journal of Cardiovascular Magnetic Resonance (2015)
Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC)
Shrikanth Narayanan;Asterios Toutios;Vikram Ramanarayanan;Adam Lammert.
Journal of the Acoustical Society of America (2014)
Seeing speech: Capturing vocal tract shaping using real-time magnetic resonance imaging [Exploratory DSP]
E. Bresch;Yoon-Chul Kim;K. Nayak;D. Byrd.
IEEE Signal Processing Magazine (2008)
Identification of brown adipose tissue in mice with fat-water IDEAL-MRI.
Houchun H. Hu;Daniel L. Smith;Krishna S. Nayak;Michael I. Goran.
Journal of Magnetic Resonance Imaging (2010)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: