Suyash P. Awate

109 papers A 3B 12C 1Misc 1Journal 28Unranked 63

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A semi-supervised multiscale generalized-VAE framework for one-class classification. Neurocomputing Renuka Sharma, Suyash P. Awate
2025	—	`conf`	Bayesian Learning with Stochastic Perturbations and Langevin Expectation Maximization for Unsupervised DNN Image Quality Enhancement. IPMI (1) Vatsala Sharma, Suyash P. Awate
2025	A	`conf`	Improving Text Style Transfer Using Masked Diffusion Language Models with Inference-Time Scaling. ECAI Tejomay Kishor Padole, Suyash P. Awate, Pushpak Bhattacharyya
2025	J	`jnl`	Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling. CoRR Tejomay Kishor Padole, Suyash P. Awate, Pushpak Bhattacharyya
2025	—	`conf`	On the Role of Adversarial Perturbations in Unsupervised Deep Learning for Enhancing Image Quality of Degraded Medical-Images. ISBI Vatsala Sharma, Ashwin Goyal, Suyash P. Awate
2025	A	`conf`	Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning. WACV Jimut B. Pal, Shantanu Welling, Himali Saini, Suyash P. Awate
2024	B	`conf`	A Hard Convex-Shape Constraint In Dnns For Object Segmentation. ICIP Jimut B. Pal, Suyash P. Awate
2024	B	`conf`	Adversarial EM For Partially-Supervised Image-Quality Enhancement: Application To Low-Dose Pet Imaging. ICIP Vatsala Sharma, Suyash P. Awate
2024	J	`jnl`	Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT. Medical Image Anal. Vatsala Sharma, Suyash P. Awate
2024	—	`conf`	Convex Segments for Convex Objects Using DNN Boundary Tracing and Graduated Optimization. MICCAI (8) Jimut B. Pal, Suyash P. Awate
2023	—	`conf`	Adversarial Training with Multiscale Boundary-Prediction DNN for Robust Topologically-Constrained Segmentation in OOD Images. ISBI Harshit Varma, Akshay V. Gaikwad, Suyash P. Awate
2023	Misc	`conf`	Deep Semi-supervised Anomaly Detection Using VQ-VAE. DICTA Renuka Sharma, Hengcan Shi, Jianfei Cai, Suyash P. Awate, Nick Birbilis
2023	B	`conf`	Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations. ICIP Akshay V. Gaikwad, Harshit Varma, Suyash P. Awate
2022	A	`conf`	A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification. WACV Renuka Sharma, Satvik Mashkaria, Suyash P. Awate
2022	J	`jnl`	Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality. Medical Image Anal. Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate
2022	—	`conf`	Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification. ISBI Renuka Sharma, Suyash P. Awate
2022	—	`conf`	Semi-Supervised Deep Expectation-Maximization for Low-Dose Pet-Ct. ISBI Vatsala Sharma, Ansh Khurana, Sriram Yenamandra, Suyash P. Awate
2021	J	`jnl`	A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. CoRR Uddeshya Upadhyay, Suyash P. Awate
2021	J	`jnl`	Controllable Image Generation with Semi-supervised Deep Learning and Deformable-Mean-Template Based Geometry-Appearance Disentanglement. Pattern Recognit. Krishna Wadhwani, Suyash P. Awate
2021	—	`conf`	Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations. IPMI Akshay V. Gaikwad, Suyash P. Awate
2021	J	`jnl`	Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET. NeuroImage Viswanath P. Sudarshan, Shenpeng Li, Sharna D. Jamadar, Gary F. Egan, Suyash P. Awate, Zhaolin Chen
2021	J	`jnl`	Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples. CoRR Sahar Almahfouz Nasser, Debjani Paul, Suyash P. Awate
2021	J	`jnl`	Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data. CoRR Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate
2021	J	`jnl`	Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data. Medical Image Anal. Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate
2021	—	`conf`	Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. ICCVW Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate
2021	J	`jnl`	Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. CoRR Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate
2020	B	`conf`	A Bayesian Deep CNN Framework for Reconstructing k-t-Undersampled Resting-fMRI. ICPR Karan Taneja, Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate
2020	B	`conf`	Generative Deep-Neural-Network Mixture Modeling with Semi-Supervised MinMax+EM Learning. ICPR Nilay Pande, Suyash P. Awate
2020	J	`jnl`	Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior. Medical Image Anal. Viswanath P. Sudarshan, Gary F. Egan, Zhaolin Chen, Suyash P. Awate
2020	B	`conf`	Learning Image Inpainting from Incomplete Images using Self-Supervision. ICPR Sriram Yenamandra, Ansh Khurana, Rohit Jena, Suyash P. Awate
2020	—	`conf`	Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size. ISBI Saurabh J. Shigwan, Akshay V. Gaikwad, Suyash P. Awate
2020	—	`conf`	R-FMRI Reconstruction from K-T Undersampled Simultaneous-Multislice (SMS) MRI with Controlled Aliasing: Towards Higher Spatial Resolution. ISBI Prachi H. Kulkarni, Kratika Gupta, S. N. Merchant, Suyash P. Awate
2020	J	`jnl`	R-fMRI reconstruction from Medical Image Anal. Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate
2020	J	`jnl`	Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images. IEEE Trans. Image Process. Nitin Kumar, Suyash P. Awate
2019	—	`conf`	A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration. IPMI Rohit Jena, Suyash P. Awate
2019	—	`conf`	A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. MICCAI (5) Uddeshya Upadhyay, Suyash P. Awate
2019	—	`conf`	A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence Microscopy. ISBI Thyagarajan Radhakrishnan, Suyash P. Awate
2019	B	`conf`	Bayesian Reconstruction of Undersampled Multicoil Hardi. ICIP Kratika Gupta, Suyash P. Awate
2019	J	`jnl`	Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach. Medical Image Anal. Suyash P. Awate, Saurabh Garg, Rohit Jena
2019	—	`conf`	Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework. MICCAI (3) Viswanath P. Sudarshan, Kratika Gupta, Gary F. Egan, Zhaolin Chen, Suyash P. Awate
2019	B	`conf`	Random Forests for Simultaneous-Multislice (SMS) Undersampled HARDI Reconstruction and Uncertainty Estimation. ICIP Kratika Gupta, Suyash P. Awate
2019	J	`jnl`	Robust Super-Resolution GAN, with Manifold-based and Perception Loss. CoRR Uddeshya Upadhyay, Suyash P. Awate
2019	—	`conf`	Robust Super-Resolution Gan, with Manifold-Based and Perception Loss. ISBI Uddeshya Upadhyay, Suyash P. Awate
2019	B	`conf`	Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images. ICIP Nitin Kumar, Sharat Chandran, Ajit V. Rajwade, Suyash P. Awate
2018	—	`conf`	A novel Bayesian graphical model and perfect Monte Carlo EM algorithm for automated colocalization estimation in multichannel fluorescence microscopy. ISBI Thyagarajan Radhakrishnan, K. Krishna Harsha Reddy, Suyash P. Awate
2018	—	`conf`	Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learning. ISBI Meet P. Shah, S. N. Merchant, Suyash P. Awate
2018	J	`jnl`	Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. CoRR Yash Bhalgat, Meet P. Shah, Suyash P. Awate
2018	—	`conf`	Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary prior. ISBI Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate
2018	—	`conf`	Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction. MICCAI (1) Viswanath P. Sudarshan, Zhaolin Chen, Suyash P. Awate
2018	—	`conf`	MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation. MICCAI (4) Meet P. Shah, S. N. Merchant, Suyash P. Awate
2018	—	`conf`	Perfect MCMC Sampling in Bayesian MRFs for Uncertainty Estimation in Segmentation. MICCAI (1) Saurabh Garg, Suyash P. Awate
2018	C	`conf`	Sparse Kernel PCA for Outlier Detection. ICMLA Rudrajit Das, Aditya Golatkar, Suyash P. Awate
2018	J	`jnl`	Sparse Kernel PCA for Outlier Detection. CoRR Rudrajit Das, Aditya Golatkar, Suyash P. Awate
2017	—	`conf`	Bayesian Dictionary Learning and Undersampled Multishell HARDI Reconstruction. IPMI Kratika Gupta, Suyash P. Awate
2017	—	`ed.`	Computer Vision, Graphics, and Image Processing - ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, Guwahati, India, December 19, 2016, Revised Selected Papers ICVGIP Workshops Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash P. Awate, Srirangaraj Setlur, Anoop M. Namboodiri, Santanu Chaudhury
2017	—	`conf`	Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference. ISBI Ayush Baid, Alankar Kotwal, Riddhish Bhalodia, S. N. Merchant, Suyash P. Awate
2017	—	`conf`	Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection. MICCAI (3) Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate
2017	—	`conf`	Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex. IPMI Suyash P. Awate, Richard M. Leahy, Anand A. Joshi
2017	B	`conf`	Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images. ICIP Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate
2017	B	`conf`	Leaf classification using marginalized shape context and shape+texture dual-path deep convolutional neural network. ICIP Meet P. Shah, Sougata Singha, Suyash P. Awate
2016	—	`conf`	Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing. MICCAI (3) Saurabh J. Shigwan, Suyash P. Awate
2016	—	`conf`	Joint desmoking and denoising of laparoscopy images. ISBI Alankar Kotwal, Riddhish Bhalodia, Suyash P. Awate
2016	—	`conf`	Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment. MICCAI (1) Suyash P. Awate, Richard M. Leahy, Anand A. Joshi
2016	—	`conf`	Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature Space. ECML/PKDD (1) Suyash P. Awate, Nishanth N. Koushik
2016	B	`conf`	Robust kernel principal nested spheres. ICPR Suyash P. Awate, Manik Dhar, Nilesh Kulkarni
2015	—	`conf`	A Statistical Model for Smooth Shapes in Kendall Shape Space. MICCAI (3) Akshay V. Gaikwad, Saurabh J. Shigwan, Suyash P. Awate
2015	—	`conf`	Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach. IPMI Suyash P. Awate, Thyagarajan Radhakrishnan
2014	J	`jnl`	A functional network estimation method of resting-state fMRI using a hierarchical Markov random field. NeuroImage Wei Liu, Suyash P. Awate, Jeffrey S. Anderson, P. Thomas Fletcher
2014	—	`conf`	Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis. MICCAI (3) Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate
2014	—	`conf`	Kernel Principal Geodesic Analysis. ECML/PKDD (1) Suyash P. Awate, Yen-Yun Yu, Ross T. Whitaker
2014	J	`jnl`	Multiatlas Segmentation as Nonparametric Regression. IEEE Trans. Medical Imaging Suyash P. Awate, Ross T. Whitaker
2013	—	`conf`	Adaptive Sparsity in Gaussian Graphical Models. ICML (1) Eleanor Wong, Suyash P. Awate, P. Thomas Fletcher
2013	—	`conf`	Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes. IPMI Gopalkrishna Veni, Zhisong Fu, Suyash P. Awate, Ross T. Whitaker
2013	—	`conf`	Compressed sensing HARDI via rotation-invariant concise dictionaries, flexible K-space undersampling, and multiscale spatial regularity. ISBI Suyash P. Awate, Edward V. R. DiBella
2013	—	`conf`	Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database. MBIA 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
2013	—	`conf`	Proper ordered meshing of complex shapes and optimal graph cuts applied to atrial-wall segmentation from DE-MRI. ISBI Gopalkrishna Veni, Zhisong Fu, Suyash P. Awate, Ross T. Whitaker
2012	—	`conf`	Building spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimation. MMBIA Marcel Prastawa, Suyash P. Awate, Guido Gerig
2012	—	`conf`	Group Analysis of Resting-State fMRI by Hierarchical Markov Random Fields. MICCAI (3) Wei Liu, Suyash P. Awate, P. Thomas Fletcher
2012	J	`jnl`	Hierarchical Graphical Models for CoRR Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate
2012	—	`conf`	How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size. MBIA Suyash P. Awate, Peihong Zhu, Ross T. Whitaker
2012	—	`conf`	Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation. ISBI Bo Wang, Marcel Prastawa, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Guido Gerig
2012	—	`conf`	Spatiotemporal dictionary learning for undersampled dynamic MRI reconstruction via joint frame-based and dictionary-based sparsity. ISBI Suyash P. Awate, Edward V. R. Di Bella
2011	—	`conf`	Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching. MICCAI (2) Peihong Zhu, Suyash P. Awate, Samuel Gerber, Ross T. Whitaker
2011	—	`conf`	Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI. MLMI Wei Liu, Suyash P. Awate, Jeffrey S. Anderson, Deborah A. Yurgelun-Todd, P. Thomas Fletcher
2011	J	`jnl`	Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures. IEEE Trans. Medical Imaging Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee
2010	J	`jnl`	A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features. Medical Image Anal. Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich
2010	J	`jnl`	Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development. NeuroImage Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, Daniel J. Licht, James C. Gee
2009	—	`conf`	A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration. IPMI Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee
2009	—	`conf`	A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features. MICCAI (1) Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich
2009	—	`conf`	Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images. MICCAI (1) Yuanjie Zheng, Murray Grossman, Suyash P. Awate, James C. Gee
2009	—	`conf`	Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences. MICCAI (1) Suyash P. Awate, Paul A. Yushkevich, Daniel J. Licht, James C. Gee
2009	—	`conf`	Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease. IPMI Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, Daniel J. Licht, James C. Gee
2008	—	`conf`	3D Cerebral Cortical Morphometry in Autism: Increased Folding in Children and Adolescents in Frontal, Parietal, and Temporal Lobes. MICCAI (1) Suyash P. Awate, Lawrence Win, Paul A. Yushkevich, Robert T. Schultz, James C. Gee
2008	—	`conf`	Atlas-guided probabilistic diffusion-tensor fiber tractography. ISBI Philip A. Cook, Hui Zhang, Suyash P. Awate, James C. Gee
2008	—	`conf`	Multivariate segmentation of brain tissues by fusion of MRI and DTI data. ISBI Suyash P. Awate, Hui Zhang, Tony J. Simon, James C. Gee
2008	—	`conf`	Nonparametric Markov priors for tissue segmentation. ISBI Zhuang Song, Suyash P. Awate, James C. Gee
2008	—	`conf`	Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework. ISBI 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
2007	—	`conf`	A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis. IPMI Suyash P. Awate, James C. Gee
2007	J	`jnl`	A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction. IEEE Trans. Medical Imaging Suyash P. Awate, Hui Zhang, James C. Gee
2007	—	`conf`	Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors. MICCAI (1) Zhuang Song, Suyash P. Awate, Daniel J. Licht, James C. Gee
2007	J	`jnl`	Feature-Preserving MRI Denoising: A Nonparametric Empirical Bayes Approach. IEEE Trans. Medical Imaging Suyash P. Awate, Ross T. Whitaker
2007	—	`conf`	Fuzzy Nonparametric DTI Segmentation for Robust Cingulum-Tract Extraction. MICCAI (1) Suyash P. Awate, Hui Zhang, James C. Gee
2006	J	`jnl`	Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification. Medical Image Anal. Suyash P. Awate, Tolga Tasdizen, Norman L. Foster, Ross T. Whitaker
2006	—	`conf`	Model-Based Image Reconstruction for Dynamic Cardiac Perfusion MRI from Sparse Data. EMBC Suyash P. Awate, Edward V. R. DiBella, Tolga Tasdizen, Ross T. Whitaker
2006	—	`conf`	Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics. ECCV (2) Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
2006	J	`jnl`	Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. Suyash P. Awate, Ross T. Whitaker
2005	—	`conf`	Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering. CVPR (2) Suyash P. Awate, Ross T. Whitaker
2005	—	`conf`	MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach. MICCAI (2) Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker, Norman L. Foster
2005	—	`conf`	Nonparametric Neighborhood Statistics for MRI Denoising. IPMI Suyash P. Awate, Ross T. Whitaker