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Suyash P. Awate
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2020 – today
- 2024
- [j18]Vatsala Sharma, Suyash P. Awate:
Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT. Medical Image Anal. 97: 103291 (2024) - [c74]Jimut B. Pal, Suyash P. Awate:
Convex Segments for Convex Objects Using DNN Boundary Tracing and Graduated Optimization. MICCAI (8) 2024: 91-101 - 2023
- [c73]Renuka Sharma, Hengcan Shi, Jianfei Cai, Suyash P. Awate, Nick Birbilis:
Deep Semi-supervised Anomaly Detection Using VQ-VAE. DICTA 2023: 273-280 - [c72]Akshay V. Gaikwad, Harshit Varma, Suyash P. Awate:
Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations. ICIP 2023: 2195-2199 - [c71]Harshit Varma, Akshay V. Gaikwad, Suyash P. Awate:
Adversarial Training with Multiscale Boundary-Prediction DNN for Robust Topologically-Constrained Segmentation in OOD Images. ISBI 2023: 1-5 - 2022
- [j17]Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality. Medical Image Anal. 78: 102392 (2022) - [c70]Renuka Sharma, Suyash P. Awate:
Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification. ISBI 2022: 1-5 - [c69]Vatsala Sharma, Ansh Khurana, Sriram Yenamandra, Suyash P. Awate:
Semi-Supervised Deep Expectation-Maximization for Low-Dose Pet-Ct. ISBI 2022: 1-5 - [c68]Renuka Sharma, Satvik Mashkaria, Suyash P. Awate:
A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification. WACV 2022: 1302-1310 - 2021
- [j16]Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data. Medical Image Anal. 73: 102187 (2021) - [j15]Viswanath P. Sudarshan, Shenpeng Li, Sharna D. Jamadar, Gary F. Egan, Suyash P. Awate, Zhaolin Chen:
Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET. NeuroImage 233: 117928 (2021) - [j14]Krishna Wadhwani, Suyash P. Awate:
Controllable Image Generation with Semi-supervised Deep Learning and Deformable-Mean-Template Based Geometry-Appearance Disentanglement. Pattern Recognit. 118: 108001 (2021) - [c67]Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate:
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. ICCVW 2021: 3248-3257 - [c66]Akshay V. Gaikwad, Suyash P. Awate:
Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations. IPMI 2021: 624-636 - [i8]Sahar Almahfouz Nasser, Debjani Paul, Suyash P. Awate:
Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples. CoRR abs/2103.16285 (2021) - [i7]Uddeshya Upadhyay, Suyash P. Awate:
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. CoRR abs/2106.15575 (2021) - [i6]Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data. CoRR abs/2107.09892 (2021) - [i5]Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate:
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. CoRR abs/2110.03343 (2021) - 2020
- [j13]Viswanath P. Sudarshan, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior. Medical Image Anal. 62: 101669 (2020) - [j12]Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
R-fMRI reconstruction from k-t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization. Medical Image Anal. 65: 101752 (2020) - [j11]Nitin Kumar, Suyash P. Awate:
Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images. IEEE Trans. Image Process. 29: 4772-4787 (2020) - [c65]Nilay Pande, Suyash P. Awate:
Generative Deep-Neural-Network Mixture Modeling with Semi-Supervised MinMax+EM Learning. ICPR 2020: 5666-5673 - [c64]Karan Taneja, Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
A Bayesian Deep CNN Framework for Reconstructing k-t-Undersampled Resting-fMRI. ICPR 2020: 8492-8499 - [c63]Sriram Yenamandra, Ansh Khurana, Rohit Jena, Suyash P. Awate:
Learning Image Inpainting from Incomplete Images using Self-Supervision. ICPR 2020: 10390-10397 - [c62]Prachi H. Kulkarni, Kratika Gupta, S. N. Merchant, Suyash P. Awate:
R-FMRI Reconstruction from K-T Undersampled Simultaneous-Multislice (SMS) MRI with Controlled Aliasing: Towards Higher Spatial Resolution. ISBI 2020: 1060-1064 - [c61]Saurabh J. Shigwan, Akshay V. Gaikwad, Suyash P. Awate:
Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size. ISBI 2020: 1149-1153
2010 – 2019
- 2019
- [j10]Suyash P. Awate, Saurabh Garg, Rohit Jena:
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach. Medical Image Anal. 55: 181-196 (2019) - [c60]Nitin Kumar, Sharat Chandran, Ajit V. Rajwade, Suyash P. Awate:
Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images. ICIP 2019: 544-548 - [c59]Kratika Gupta, Suyash P. Awate:
Bayesian Reconstruction of Undersampled Multicoil Hardi. ICIP 2019: 1247-1251 - [c58]Kratika Gupta, Suyash P. Awate:
Random Forests for Simultaneous-Multislice (SMS) Undersampled HARDI Reconstruction and Uncertainty Estimation. ICIP 2019: 2626-2630 - [c57]Rohit Jena, Suyash P. Awate:
A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration. IPMI 2019: 3-15 - [c56]Thyagarajan Radhakrishnan, Suyash P. Awate:
A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence Microscopy. ISBI 2019: 543-547 - [c55]Uddeshya Upadhyay, Suyash P. Awate:
Robust Super-Resolution Gan, with Manifold-Based and Perception Loss. ISBI 2019: 1372-1376 - [c54]Viswanath P. Sudarshan, Kratika Gupta, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework. MICCAI (3) 2019: 39-47 - [c53]Uddeshya Upadhyay, Suyash P. Awate:
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. MICCAI (5) 2019: 556-564 - [i4]Uddeshya Upadhyay, Suyash P. Awate:
Robust Super-Resolution GAN, with Manifold-based and Perception Loss. CoRR abs/1903.06920 (2019) - 2018
- [c52]Rudrajit Das, Aditya Golatkar, Suyash P. Awate:
Sparse Kernel PCA for Outlier Detection. ICMLA 2018: 152-157 - [c51]Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary prior. ISBI 2018: 302-306 - [c50]Meet P. Shah, S. N. Merchant, Suyash P. Awate:
Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learning. ISBI 2018: 568-572 - [c49]Thyagarajan Radhakrishnan, K. Krishna Harsha Reddy, Suyash P. Awate:
A novel Bayesian graphical model and perfect Monte Carlo EM algorithm for automated colocalization estimation in multichannel fluorescence microscopy. ISBI 2018: 1583-1587 - [c48]Viswanath P. Sudarshan, Zhaolin Chen, Suyash P. Awate:
Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction. MICCAI (1) 2018: 338-346 - [c47]Meet P. Shah, S. N. Merchant, Suyash P. Awate:
MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation. MICCAI (4) 2018: 379-387 - [c46]Saurabh Garg, Suyash P. Awate:
Perfect MCMC Sampling in Bayesian MRFs for Uncertainty Estimation in Segmentation. MICCAI (1) 2018: 673-681 - [i3]Rudrajit Das, Aditya Golatkar, Suyash P. Awate:
Sparse Kernel PCA for Outlier Detection. CoRR abs/1809.02497 (2018) - [i2]Yash Bhalgat, Meet P. Shah, Suyash P. Awate:
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. CoRR abs/1812.11302 (2018) - 2017
- [c45]Meet P. Shah, Sougata Singha, Suyash P. Awate:
Leaf classification using marginalized shape context and shape+texture dual-path deep convolutional neural network. ICIP 2017: 860-864 - [c44]Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate:
Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images. ICIP 2017: 4157-4161 - [c43]Suyash P. Awate, Richard M. Leahy, Anand A. Joshi:
Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex. IPMI 2017: 28-40 - [c42]Kratika Gupta, Suyash P. Awate:
Bayesian Dictionary Learning and Undersampled Multishell HARDI Reconstruction. IPMI 2017: 453-465 - [c41]Ayush Baid, Alankar Kotwal, Riddhish Bhalodia, S. N. Merchant, Suyash P. Awate:
Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference. ISBI 2017: 732-736 - [c40]Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate:
Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection. MICCAI (3) 2017: 21-29 - [e1]Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash P. Awate, Srirangaraj Setlur, Anoop M. Namboodiri, Santanu Chaudhury:
Computer Vision, Graphics, and Image Processing - ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, Guwahati, India, December 19, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10481, Springer 2017, ISBN 978-3-319-68123-8 [contents] - 2016
- [c39]Suyash P. Awate, Manik Dhar, Nilesh Kulkarni:
Robust kernel principal nested spheres. ICPR 2016: 402-407 - [c38]Alankar Kotwal, Riddhish Bhalodia, Suyash P. Awate:
Joint desmoking and denoising of laparoscopy images. ISBI 2016: 1050-1054 - [c37]Saurabh J. Shigwan, Suyash P. Awate:
Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing. MICCAI (3) 2016: 191-200 - [c36]Suyash P. Awate, Richard M. Leahy, Anand A. Joshi:
Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment. MICCAI (1) 2016: 237-246 - [c35]Suyash P. Awate, Nishanth N. Koushik:
Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature Space. ECML/PKDD (1) 2016: 731-748 - 2015
- [c34]Suyash P. Awate, Thyagarajan Radhakrishnan:
Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach. IPMI 2015: 3-16 - [c33]Akshay V. Gaikwad, Saurabh J. Shigwan, Suyash P. Awate:
A Statistical Model for Smooth Shapes in Kendall Shape Space. MICCAI (3) 2015: 628-635 - 2014
- [j9]Wei Liu, Suyash P. Awate, Jeffrey S. Anderson, P. Thomas Fletcher:
A functional network estimation method of resting-state fMRI using a hierarchical Markov random field. NeuroImage 100: 520-534 (2014) - [j8]Suyash P. Awate, Ross T. Whitaker:
Multiatlas Segmentation as Nonparametric Regression. IEEE Trans. Medical Imaging 33(9): 1803-1817 (2014) - [c32]Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate:
Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis. MICCAI (3) 2014: 9-16 - [c31]Suyash P. Awate, Yen-Yun Yu, Ross T. Whitaker:
Kernel Principal Geodesic Analysis. ECML/PKDD (1) 2014: 82-98 - 2013
- [c30]Eleanor Wong, Suyash P. Awate, P. Thomas Fletcher:
Adaptive Sparsity in Gaussian Graphical Models. ICML (1) 2013: 311-319 - [c29]Gopalkrishna Veni, Zhisong Fu, Suyash P. Awate, Ross T. Whitaker:
Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes. IPMI 2013: 656-667 - [c28]Suyash P. Awate, Edward V. R. DiBella:
Compressed sensing HARDI via rotation-invariant concise dictionaries, flexible K-space undersampling, and multiscale spatial regularity. ISBI 2013: 9-12 - [c27]Gopalkrishna Veni, Zhisong Fu, Suyash P. Awate, Ross T. Whitaker:
Proper ordered meshing of complex shapes and optimal graph cuts applied to atrial-wall segmentation from DE-MRI. ISBI 2013: 1296-1299 - [c26]Bo Wang, Marcel Prastawa, Avishek Saha, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Valerio Pascucci, Guido Gerig:
Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database. MBIA 2013: 31-39 - 2012
- [c25]Suyash P. Awate, Edward V. R. Di Bella:
Spatiotemporal dictionary learning for undersampled dynamic MRI reconstruction via joint frame-based and dictionary-based sparsity. ISBI 2012: 318-321 - [c24]Bo Wang, Marcel Prastawa, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Guido Gerig:
Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation. ISBI 2012: 1152-1155 - [c23]Suyash P. Awate, Peihong Zhu, Ross T. Whitaker:
How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size. MBIA 2012: 103-114 - [c22]Wei Liu, Suyash P. Awate, P. Thomas Fletcher:
Group Analysis of Resting-State fMRI by Hierarchical Markov Random Fields. MICCAI (3) 2012: 189-196 - [c21]Marcel Prastawa, Suyash P. Awate, Guido Gerig:
Building spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimation. MMBIA 2012: 49-56 - [i1]Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate:
Hierarchical Graphical Models for. CoRR abs/1212.5720 (2012) - 2011
- [j7]Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee:
Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures. IEEE Trans. Medical Imaging 30(2): 451-460 (2011) - [c20]Wei Liu, Suyash P. Awate, Jeffrey S. Anderson, Deborah A. Yurgelun-Todd, P. Thomas Fletcher:
Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI. MLMI 2011: 59-66 - [c19]Peihong Zhu, Suyash P. Awate, Samuel Gerber, Ross T. Whitaker:
Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching. MICCAI (2) 2011: 484-491 - 2010
- [j6]Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich:
A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features. Medical Image Anal. 14(5): 666-673 (2010) - [j5]Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, Daniel J. Licht, James C. Gee:
Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development. NeuroImage 53(2): 450-459 (2010)
2000 – 2009
- 2009
- [c18]Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee:
A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration. IPMI 2009: 215-226 - [c17]Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, Daniel J. Licht, James C. Gee:
Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease. IPMI 2009: 552-563 - [c16]Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich:
A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features. MICCAI (1) 2009: 141-149 - [c15]Suyash P. Awate, Paul A. Yushkevich, Daniel J. Licht, James C. Gee:
Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences. MICCAI (1) 2009: 200-207 - [c14]Yuanjie Zheng, Murray Grossman, Suyash P. Awate, James C. Gee:
Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images. MICCAI (1) 2009: 852-859 - 2008
- [c13]Zhuang Song, Suyash P. Awate, James C. Gee:
Nonparametric Markov priors for tissue segmentation. ISBI 2008: 73-76 - [c12]Suyash P. Awate, Hui Zhang, Tony J. Simon, James C. Gee:
Multivariate segmentation of brain tissues by fusion of MRI and DTI data. ISBI 2008: 213-216 - [c11]Nicholas J. Tustison, Suyash P. Awate, Talissa A. Altes, James C. Gee, Jing Cai, G. Wilson Miller, Eduard E. de Lange, John P. Mugler III:
Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework. ISBI 2008: 772-775 - [c10]Philip A. Cook, Hui Zhang, Suyash P. Awate, James C. Gee:
Atlas-guided probabilistic diffusion-tensor fiber tractography. ISBI 2008: 951-954 - [c9]Suyash P. Awate, Lawrence Win, Paul A. 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. MICCAI (1) 2008: 559-567 - 2007
- [j4]Suyash P. Awate, Ross T. Whitaker:
Feature-Preserving MRI Denoising: A Nonparametric Empirical Bayes Approach. IEEE Trans. Medical Imaging 26(9): 1242-1255 (2007) - [j3]Suyash P. Awate, Hui Zhang, James C. Gee:
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction. IEEE Trans. Medical Imaging 26(11): 1525-1536 (2007) - [c8]Suyash P. Awate, James C. Gee:
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis. IPMI 2007: 296-307 - [c7]Suyash P. Awate, Hui Zhang, James C. Gee:
Fuzzy Nonparametric DTI Segmentation for Robust Cingulum-Tract Extraction. MICCAI (1) 2007: 294-301 - [c6]Zhuang Song, Suyash P. Awate, Daniel J. Licht, James C. Gee:
Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors. MICCAI (1) 2007: 883-890 - 2006
- [j2]Suyash P. Awate, Tolga Tasdizen, Norman L. Foster, Ross T. Whitaker:
Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification. Medical Image Anal. 10(5): 726-739 (2006) - [j1]Suyash P. Awate, Ross T. Whitaker:
Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 364-376 (2006) - [c5]Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker:
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics. ECCV (2) 2006: 494-507 - [c4]Suyash P. Awate, Edward V. R. DiBella, Tolga Tasdizen, Ross T. Whitaker:
Model-Based Image Reconstruction for Dynamic Cardiac Perfusion MRI from Sparse Data. EMBC 2006: 936-941 - 2005
- [c3]Suyash P. Awate, Ross T. Whitaker:
Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering. CVPR (2) 2005: 44-51 - [c2]Suyash P. Awate, Ross T. Whitaker:
Nonparametric Neighborhood Statistics for MRI Denoising. IPMI 2005: 677-688 - [c1]Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker, Norman L. Foster:
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach. MICCAI (2) 2005: 517-525
Coauthor Index
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