Suyash P.
Awate Asha and Keshav Bhide Chair Professor Computer Science and Engineering Department, Indian Institute of Technology (IIT) Bombay Office: A-214, Kanwal Rekhi Building Email: my-first-name @cse.iitb.ac.in |
|
Research | Publications | Teaching | Students | CV | Personal |
Kernel Methods and Robust Descriptors for Cerebral Cortical Sheet Analysis |
Awate SP, Leahy RM, Joshi AA Kernel methods for Riemannian statistical analysis of robust descriptors of cerebral cortical geometry Information Processing in Medical Imaging (IPMI) 2017, 1:28-40, Springer LNCS 10265 (podium presentation, acceptance rate 16%) Group-difference study: validation with simulated differences. Permutation test p values with the following features: (a) joint multiscale descriptor, (b) joint histogram descriptor with Euclidean analysis, (c) joint histogram descriptor with Riemannian normal-law analysis, (d) joint histogram descriptor with Riemannian kernel-based analysis (proposed). Group-difference study: simulated differences, stability analysis. Standard deviation of p values, via bootstrap sampling, for: (a) joint multiscale descriptor, (b) joint histogram descriptor with Euclidean analysis, (c) joint histogram descriptor with Riemannian normal-law analysis, (d) joint histogram descriptor with Riemannian kernel-based analysis (proposed). |
Awate SP, Leahy RM, Joshi AA Riemannian statistical analysis of cortical geometry with robustness to partial homology and misalignment Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016; 19(1):237-246 Springer LNCS 9902 (podium presentation, acceptance rate 5%) MCI, Histogram descriptors, Riemannian analysis. Permutation test p values comparing MCI with controls using Riemannian statistical modeling and hypothesis testing for histogram descriptors, for both hemispheres, using: (a),(e) shape index, (b),(f) curvedness, (c),(g) thickness, and (d),(h) shape index, curvedness, and thickness jointly (proposed). Analogous p values with (i)–(l) MCI cohort subset of 18 (randomly chosen) subjects and (m)–(p) MCI cohort subset of the remaining 10 subjects. Stability Analysis. Standard deviation of permutation test p values, using bootstrap sampling for: (a)–(b) joint multiscale descriptor (both hemispheres) and (c)–(d) joint histogram descriptor with Riemannian analysis (both hemispheres) (proposed). |
Cerebral Cortical Folding Analysis |
Wu J, Awate SP, Licht DJ Clouchoux C, du Plessis
AJ, Avants BB, Vossough A, Gee JC, Limperpolous C Assessment of MRI-based automated fetal cerebral cortical folding measures in prediction of gestational age in the third trimester American Journal of Neuroradiology (AJNR) 2015, 36(7):1369-74 Automatically computed average curvedness against the average total maturation score obtained by 1 pediatric neurologist and 1 pediatric neuroradiologist for the 33 healthy fetuses. |
Suyash P. Awate, Paul Yushkevich, Zhuang Song,
Daniel Licht, James C. Gee Cerebral cortical folding analysis with multivariate modeling and testing : studies on gender differences and neonatal development NeuroImage (NIMG) 2010, 53(2):450-459, Elsevier |
Suyash P. Awate, Paul Yushkevich, Daniel Licht,
James C. Gee Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences Medical Image Computing & Computer Assisted Intervention (MICCAI) 2009, pp 200-207, Springer LNCS |
Suyash P. Awate, Paul Yushkevich, Zhuang Song,
Daniel Licht, James C. Gee Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease Information Processing in Medical Imaging (IPMI) 2009, pp 552-563, Springer LNCS 5636 |
Suyash P. Awate, Lawrence Win, Paul Yushkevich,
Robert T. Schultz, James C. Gee 3D Cerebral Cortical Morphometry in Autism: Increased Folding in Children and Adolescents in Frontal, Parietal, and Temporal Lobes Medical Image Computing & Computer Assisted Intervention (MICCAI) 2008, pp 559-567, Springer LNCS |
Related Works |
P. Batchelor, A. Castellano-Smith, D. Hill, D.
Hawkes, T. Cox, A. Dean Measures of folding applied to the development of the human fetal brain IEEE Trans. Med. Imaging 2002, 21(8):953-965 |
Nordahl, C., Dierker, D., Mostafavi, I.,
Schumann, C., Rivera, S., Amaral, D., Van-Essen, D. Cortical folding abnormalities in autism revealed by surface-based morphometry J. Neuroscience 2007, 27(43):11725-11735 |