Mukund Balasubramanian, Ph.D.
Concepts are derived automatically from a person's publications.
Concepts are listed by decreasing relevance which is based on many factors, including how many publications the person wrote about that topic, how long ago those publications were written, and how many publications other people have written on that same topic.
| Name | Number of Publications
|
Most Recent Publication
|
Publications by All Authors
|
Concept Score
|
Why?
|
|---|
| Spin Labels | 2 | 2020 | 336 | 0.740 |
Why?
|
| Image Processing, Computer-Assisted | 4 | 2020 | 8950 | 0.660 |
Why?
|
| Calcification, Physiologic | 1 | 2019 | 170 | 0.630 |
Why?
|
| Muscles | 2 | 2020 | 1581 | 0.590 |
Why?
|
| Magnetic Resonance Imaging | 9 | 2022 | 36290 | 0.580 |
Why?
|
| Spectrophotometry | 1 | 2017 | 311 | 0.570 |
Why?
|
| Basal Ganglia | 1 | 2019 | 552 | 0.540 |
Why?
|
| Cerebral Cortex | 2 | 2022 | 5761 | 0.490 |
Why?
|
| Creatine | 3 | 2021 | 426 | 0.430 |
Why?
|
| Iron | 1 | 2019 | 1786 | 0.360 |
Why?
|
| Image Interpretation, Computer-Assisted | 6 | 2016 | 3340 | 0.340 |
Why?
|
| Bone Marrow | 2 | 2017 | 2912 | 0.330 |
Why?
|
| Choline | 3 | 2021 | 513 | 0.320 |
Why?
|
| Pattern Recognition, Automated | 2 | 2016 | 994 | 0.300 |
Why?
|
| Brain Mapping | 4 | 2013 | 6568 | 0.250 |
Why?
|
| Myelin Sheath | 2 | 2022 | 652 | 0.250 |
Why?
|
| Phantoms, Imaging | 3 | 2020 | 2512 | 0.240 |
Why?
|
| Algorithms | 5 | 2016 | 13981 | 0.220 |
Why?
|
| Visual Cortex | 3 | 2009 | 1089 | 0.210 |
Why?
|
| Normal Distribution | 3 | 2017 | 273 | 0.200 |
Why?
|
| Electroencephalography | 1 | 2017 | 6189 | 0.190 |
Why?
|
| Diffusion | 2 | 2020 | 813 | 0.190 |
Why?
|
| Brain | 4 | 2022 | 26951 | 0.190 |
Why?
|
| Aspartic Acid | 2 | 2021 | 576 | 0.160 |
Why?
|
| Magnetic Resonance Spectroscopy | 3 | 2021 | 3765 | 0.160 |
Why?
|
| Imaging, Three-Dimensional | 2 | 2009 | 4048 | 0.160 |
Why?
|
| Models, Statistical | 3 | 2017 | 5075 | 0.150 |
Why?
|
| Anisotropy | 1 | 2020 | 1278 | 0.140 |
Why?
|
| Fourier Analysis | 1 | 2017 | 439 | 0.140 |
Why?
|
| Image Enhancement | 4 | 2016 | 2881 | 0.130 |
Why?
|
| Knee | 1 | 2017 | 276 | 0.130 |
Why?
|
| Radio Waves | 1 | 2017 | 250 | 0.130 |
Why?
|
| Artificial Intelligence | 1 | 2009 | 2557 | 0.120 |
Why?
|
| Body Water | 1 | 2015 | 341 | 0.120 |
Why?
|
| Electrodes | 1 | 2017 | 614 | 0.120 |
Why?
|
| Ions | 1 | 2014 | 261 | 0.110 |
Why?
|
| Oxygen | 2 | 2016 | 4193 | 0.110 |
Why?
|
| Water | 1 | 2020 | 1407 | 0.110 |
Why?
|
| Hydrodynamics | 1 | 2014 | 167 | 0.110 |
Why?
|
| Materials Testing | 1 | 2017 | 862 | 0.110 |
Why?
|
| Protons | 1 | 2017 | 1114 | 0.100 |
Why?
|
| Cerebrospinal Fluid | 1 | 2014 | 544 | 0.100 |
Why?
|
| Macaca | 2 | 2010 | 409 | 0.100 |
Why?
|
| Head | 1 | 2017 | 922 | 0.090 |
Why?
|
| Genital Neoplasms, Female | 1 | 2016 | 533 | 0.090 |
Why?
|
| Hot Temperature | 1 | 2017 | 1435 | 0.090 |
Why?
|
| Evoked Potentials, Motor | 1 | 2013 | 461 | 0.080 |
Why?
|
| Lipids | 1 | 2020 | 3336 | 0.080 |
Why?
|
| Echo-Planar Imaging | 1 | 2013 | 657 | 0.080 |
Why?
|
| Diffusion Magnetic Resonance Imaging | 1 | 2020 | 2782 | 0.080 |
Why?
|
| Computer Simulation | 3 | 2016 | 6218 | 0.080 |
Why?
|
| Middle Aged | 7 | 2020 | 220352 | 0.070 |
Why?
|
| Sensitivity and Specificity | 5 | 2016 | 14660 | 0.070 |
Why?
|
| Humans | 16 | 2022 | 760621 | 0.070 |
Why?
|
| Time Factors | 2 | 2020 | 40165 | 0.070 |
Why?
|
| Movement | 1 | 2013 | 1474 | 0.060 |
Why?
|
| Adipose Tissue | 1 | 2017 | 3301 | 0.060 |
Why?
|
| Motor Cortex | 1 | 2013 | 995 | 0.060 |
Why?
|
| Diffusion Tensor Imaging | 1 | 2015 | 2385 | 0.060 |
Why?
|
| Male | 8 | 2020 | 359744 | 0.060 |
Why?
|
| Reproducibility of Results | 5 | 2016 | 20080 | 0.060 |
Why?
|
| Primates | 1 | 2002 | 523 | 0.040 |
Why?
|
| Young Adult | 2 | 2019 | 58741 | 0.030 |
Why?
|
| Aged, 80 and over | 1 | 2019 | 58995 | 0.030 |
Why?
|
| Female | 4 | 2020 | 391270 | 0.030 |
Why?
|
| Prostatic Neoplasms | 1 | 2016 | 11345 | 0.030 |
Why?
|
| Aged | 3 | 2019 | 169152 | 0.020 |
Why?
|
| Adult | 3 | 2019 | 219994 | 0.020 |
Why?
|
| Signal Processing, Computer-Assisted | 1 | 2016 | 1489 | 0.020 |
Why?
|
| Animals | 3 | 2010 | 167963 | 0.020 |
Why?
|
| Data Interpretation, Statistical | 1 | 2016 | 2696 | 0.020 |
Why?
|
| Species Specificity | 1 | 2008 | 2418 | 0.010 |
Why?
|
| Probability | 1 | 2008 | 2475 | 0.010 |
Why?
|
| Models, Neurological | 1 | 2008 | 1758 | 0.010 |
Why?
|
| Brain Diseases | 1 | 2008 | 1540 | 0.010 |
Why?
|