World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8705
World Ranking
6847
National Ranking
3006

Research.com Recognitions

  • 2017 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Krishna S. Nayak is affiliated with the University of Southern California in the United States. Their primary field of study is Medicine, with a significant focus on Radiology, Nuclear Medicine and Imaging, along with contributions to Atomic and Molecular Physics, and Optics, Biomedical Engineering, Radiation, and Cardiology and Cardiovascular Medicine.

Their research topics span various areas related to magnetic resonance imaging and medical imaging techniques, including:

  • Advanced MRI Techniques and Applications
  • Atomic and Subatomic Physics Research
  • Medical Imaging Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Advanced X-ray and CT Imaging
  • MRI in cancer diagnosis
  • Advanced Neuroimaging Techniques and Applications

Krishna S. Nayak has contributed to multiple publication venues. The most frequent among these are:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Magnetic Resonance in Medicine
  • Journal of Cardiovascular Magnetic Resonance
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Magnetic Resonance Imaging

Frequent co-authors in their work include Ye Tian, Sophia Cui, Bilal Taşdelen, Yongwan Lim, and Ecrin Yağız.

Recent papers authored or co-authored by Krishna S. Nayak include:

  • Real-Time Magnetic Resonance Imaging (2020), published in Journal of Magnetic Resonance Imaging
  • Velocity-selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation (2022), published in Magnetic Resonance in Medicine
  • Improved Glioma Grading Using Deep Convolutional Neural Networks (2020), published in American Journal of Neuroradiology
  • Fasting-mimicking diet causes hepatic and blood markers changes indicating reduced biological age and disease risk (2024), published in Nature Communications
  • Update on state-of-the-art for arterial spin labeling (ASL) human perfusion imaging outside of the brain (2023), published in Magnetic Resonance in Medicine

Krishna S. Nayak was awarded the title of Fellow of the Indian National Academy of Engineering (INAE) in 2017.

Best Publications

  • k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI.

    Hong Jung;Kyunghyun Sung;Krishna S. Nayak;Eung Yeop Kim

  • Saturated double-angle method for rapid B1+ mapping.

    Charles H. Cunningham;John M. Pauly;Krishna S. Nayak

  • An approach to real-time magnetic resonance imaging for speech production.

    Shrikanth Narayanan;Krishna Nayak;Sungbok Lee;Abhinav Sethy

  • 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

  • Cardiovascular magnetic resonance phase contrast imaging

    Krishna S. Nayak;Jon Fredrik Nielsen;Matt A. Bernstein;Michael Markl

  • 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

  • COMPRESSION AND DECOMPRESSION OF IMAGE DATA BY BLOCK UNIT

    Iourcha Konstantine;Nayak Krishna S;Hong Zhou

  • Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC)

    Shrikanth Narayanan;Asterios Toutios;Vikram Ramanarayanan;Adam Lammert

  • MRI artifacts and correction strategies

    Travis B Smith;Krishna S Nayak

  • Assessment of abdominal adipose tissue and organ fat content by magnetic resonance imaging

    Houchun H. Hu;Krishna S. Nayak;Michael I. Goran

  • Seeing speech: Capturing vocal tract shaping using real-time magnetic resonance imaging [Exploratory DSP]

    E. Bresch;Yoon-Chul Kim;K. Nayak;D. Byrd

  • Synchronized and noise-robust audio recordings during realtime magnetic resonance imaging scans.

    Erik Bresch;Jon Nielsen;Krishna Nayak;Shrikanth Narayanan

  • Fat-suppressed steady-state free precession imaging using phase detection.

    Brian A. Hargreaves;Shreyas S. Vasanawala;Krishna S. Nayak;Bob S. Hu

  • Real‐time color flow MRI

    Krishna S. Nayak;John M. Pauly;Adam B. Kerr;Bob S. Hu

  • Real-time cardiac MRI at 3 tesla

    Krishna S. Nayak;Krishna S. Nayak;Charles H. Cunningham;Juan M. Santos;John M. Pauly

  • MR properties of brown and white adipose tissues.

    Gavin Hamilton;Daniel L. Smith;Mark Bydder;Krishna S. Nayak

  • Recommendations for real-time speech MRI.

    Sajan Goud Lingala;Brad P. Sutton;Marc E. Miquel;Krishna S. Nayak

  • Designing long-T2 suppression pulses for ultrashort echo time imaging.

    Peder E. Z. Larson;Paul T. Gurney;Krishna Nayak;Garry E. Gold

  • Fixed-rate block-based image compression with inferred pixel values

    Konstantine I. Iourcha;Krishna S. Nayak;Zhou Hong

  • Accelerated three-dimensional upper airway MRI using compressed sensing.

    Yoon-Chul Kim;Shrikanth S. Narayanan;Krishna S. Nayak

  • Seeing Speech: Capturing Vocal Tract Shaping Using Real-Time Magnetic Resonance Imaging

    Erik Bresch;Yoon-Chul Kim;Krishna Nayak;Dani Byrd

  • Clinical image quality assessment of accelerated magnetic resonance neuroimaging using compressed sensing.

    Samir D. Sharma;Caroline L. Fong;Brian S. Tzung;Meng Law

  • Differential computed tomographic attenuation of metabolically active and inactive adipose tissues: preliminary findings.

    Houchun Harry Hu;Sandra A. Chung;Krishna S. Nayak;Hollie A. Jackson

  • Wideband SSFP: alternating repetition time balanced steady state free precession with increased band spacing.

    Krishna S. Nayak;Hsu-Lei Lee;Brian A. Hargreaves;Bob S. Hu

Frequent Co-Authors

Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Dani Byrd
Dani Byrd University of Southern California
John M. Pauly
John M. Pauly Stanford University
Dwight G. Nishimura
Dwight G. Nishimura Stanford University
Louis Goldstein
Louis Goldstein University of Southern California
Justin P. Haldar
Justin P. Haldar University of Southern California
Craig H. Meyer
Craig H. Meyer University of Virginia
John P. Lewis
John P. Lewis Victoria University of Wellington
Ulrich Neumann
Ulrich Neumann University of Southern California
Sungbok Lee
Sungbok Lee University of Southern California

If you think any of the details on this page are incorrect, let us know.

Report an issue

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:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to many online degree options and career paths at every education level. If you’re looking to enter the field quickly, pursuing an associate's degree online can help you gain essential skills in a fast and flexible way.

For those interested in business aspects of technology, understanding how much does it cost to get a business degree online is an important first step. Studying online can often offer cost savings, making it easier to balance financial goals with your academic pursuits.

If you are considering advanced study, you may want to search for the cheapest doctoral programs in specialized areas, which can allow you to achieve your academic goals without the burden of high tuition. Alternatively, those aiming for leadership roles in education and training might prefer accelerated doctoral programs in education online that offer a fast track to a doctoral degree.

With a variety of online degree pathways and specializations, students can shape a unique career in computer science and related fields while balancing time and budget.

Best Scientists Citing Krishna S. Nayak

Trending Scientists