Suyash P. Awate Suyash P. Awate
Associate 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