Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering. - Suyash P. Awate; Ross T. Whitaker (CVPR (2), 2005)

Nonparametric Neighborhood Statistics for MRI Denoising. - Suyash P. Awate; Ross T. Whitaker (IPMI, 2005)

MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach. - Tolga Tasdizen; Suyash P. Awate; Ross T. Whitaker; Norman L. Foster (MICCAI (2), 2005)

Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics. - Suyash P. Awate; Tolga Tasdizen; Ross T. Whitaker (ECCV (2), 2006)

Model-Based Image Reconstruction for Dynamic Cardiac Perfusion MRI from Sparse Data. - Suyash P. Awate; Edward V. R. DiBella; Tolga Tasdizen; Ross T. Whitaker (EMBC, 2006)

Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification. - Suyash P. Awate; Tolga Tasdizen; Norman L. Foster; Ross T. Whitaker (Medical Image Anal., 2006)

Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration. - Suyash P. Awate; Ross T. Whitaker (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis. - Suyash P. Awate; James C. Gee (IPMI, 2007)

Fuzzy Nonparametric DTI Segmentation for Robust Cingulum-Tract Extraction. - Suyash P. Awate; Hui Zhang 005; James C. Gee (MICCAI (1), 2007)

Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors. - Zhuang Song; Suyash P. Awate; Daniel J. Licht; James C. Gee (MICCAI (1), 2007)

Feature-Preserving MRI Denoising: A Nonparametric Empirical Bayes Approach. - Suyash P. Awate; Ross T. Whitaker (IEEE Trans. Medical Imaging, 2007)

A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction. - Suyash P. Awate; Hui Zhang 005; James C. Gee (IEEE Trans. Medical Imaging, 2007)

Multivariate segmentation of brain tissues by fusion of MRI and DTI data. - Suyash P. Awate; Hui Zhang 005; Tony J. Simon; James C. Gee (ISBI, 2008)

Atlas-guided probabilistic diffusion-tensor fiber tractography. - Philip A. Cook; Hui Zhang 005; Suyash P. Awate; James C. Gee (ISBI, 2008)

Nonparametric Markov priors for tissue segmentation. - Zhuang Song; Suyash P. Awate; James C. Gee (ISBI, 2008)

Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework. - Nicholas J. Tustison; Suyash P. Awate; Talissa A. Altes; James C. Gee; Jing Cai 001; G. Wilson Miller; Eduard E. de Lange; John P. Mugler III (ISBI, 2008)

3D Cerebral Cortical Morphometry in Autism: Increased Folding in Children and Adolescents in Frontal, Parietal, and Temporal Lobes. - Suyash P. Awate; Lawrence Win; Paul A. Yushkevich; Robert T. Schultz; James C. Gee (MICCAI (1), 2008)

Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease. - Suyash P. Awate; Paul A. Yushkevich; Zhuang Song; Daniel J. Licht; James C. Gee (IPMI, 2009)

A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration. - Nicholas J. Tustison; Suyash P. Awate; Gang Song; Tessa Sundaram Cook; James C. Gee (IPMI, 2009)

Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences. - Suyash P. Awate; Paul A. Yushkevich; Daniel J. Licht; James C. Gee (MICCAI (1), 2009)

Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images. - Yuanjie Zheng; Murray Grossman; Suyash P. Awate; James C. Gee (MICCAI (1), 2009)

A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features. - Hui Zhang 005; Suyash P. Awate; Sandhitsu R. Das; John H. Woo; Elias R. Melhem; James C. Gee; Paul A. Yushkevich (Medical Image Anal., 2010)

Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development. - Suyash P. Awate; Paul A. Yushkevich; Zhuang Song; Daniel J. Licht; James C. Gee (NeuroImage, 2010)

Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI. - Wei Liu 036; Suyash P. Awate; Jeffrey S. Anderson; Deborah A. Yurgelun-Todd; P. Thomas Fletcher (MLMI, 2011)

Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching. - Peihong Zhu; Suyash P. Awate; Samuel Gerber; Ross T. Whitaker (MICCAI (2), 2011)

Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures. - Nicholas J. Tustison; Suyash P. Awate; Gang Song; Tessa Sundaram Cook; James C. Gee (IEEE Trans. Medical Imaging, 2011)

Spatiotemporal dictionary learning for undersampled dynamic MRI reconstruction via joint frame-based and dictionary-based sparsity. - Suyash P. Awate; Edward V. R. Di Bella (ISBI, 2012)

Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation. - Bo Wang 019; Marcel Prastawa; Suyash P. Awate; Andrei Irimia; Micah C. Chambers; Paul M. Vespa; John D. Van Horn; Guido Gerig (ISBI, 2012)

How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size. - Suyash P. Awate; Peihong Zhu; Ross T. Whitaker (MBIA, 2012)

Group Analysis of Resting-State fMRI by Hierarchical Markov Random Fields. - Wei Liu 036; Suyash P. Awate; P. Thomas Fletcher (MICCAI (3), 2012)

Building spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimation. - Marcel Prastawa; Suyash P. Awate; Guido Gerig (MMBIA, 2012)

Hierarchical Graphical Models for - Yen-Yun Yu; P. Thomas Fletcher; Suyash P. Awate (CoRR, 2012)

Adaptive Sparsity in Gaussian Graphical Models. - Eleanor Wong; Suyash P. Awate; P. Thomas Fletcher (ICML (1), 2013)

Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes. - Gopalkrishna Veni; Zhisong Fu; Suyash P. Awate; Ross T. Whitaker (IPMI, 2013)

Compressed sensing HARDI via rotation-invariant concise dictionaries, flexible K-space undersampling, and multiscale spatial regularity. - Suyash P. Awate; Edward V. R. DiBella (ISBI, 2013)

Proper ordered meshing of complex shapes and optimal graph cuts applied to atrial-wall segmentation from DE-MRI. - Gopalkrishna Veni; Zhisong Fu; Suyash P. Awate; Ross T. Whitaker (ISBI, 2013)

Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database. - Bo Wang 019; Marcel Prastawa; Avishek Saha; Suyash P. Awate; Andrei Irimia; Micah C. Chambers; Paul M. Vespa; John D. Van Horn; Valerio Pascucci; Guido Gerig (MBIA, 2013)

Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis. - Yen-Yun Yu; P. Thomas Fletcher; Suyash P. Awate (MICCAI (3), 2014)

Kernel Principal Geodesic Analysis. - Suyash P. Awate; Yen-Yun Yu; Ross T. Whitaker (ECML/PKDD (1), 2014)

A functional network estimation method of resting-state fMRI using a hierarchical Markov random field. - Wei Liu 036; Suyash P. Awate; Jeffrey S. Anderson; P. Thomas Fletcher (NeuroImage, 2014)

Multiatlas Segmentation as Nonparametric Regression. - Suyash P. Awate; Ross T. Whitaker (IEEE Trans. Medical Imaging, 2014)

Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach. - Suyash P. Awate; Thyagarajan Radhakrishnan (IPMI, 2015)

A Statistical Model for Smooth Shapes in Kendall Shape Space. - Akshay V. Gaikwad; Saurabh J. Shigwan; Suyash P. Awate (MICCAI (3), 2015)

Robust kernel principal nested spheres. - Suyash P. Awate; Manik Dhar; Nilesh Kulkarni (ICPR, 2016)

Joint desmoking and denoising of laparoscopy images. - Alankar Kotwal; Riddhish Bhalodia; Suyash P. Awate (ISBI, 2016)

Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment. - Suyash P. Awate; Richard M. Leahy; Anand A. Joshi (MICCAI (1), 2016)

Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing. - Saurabh J. Shigwan; Suyash P. Awate (MICCAI (3), 2016)

Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature Space. - Suyash P. Awate; Nishanth N. Koushik (ECML/PKDD (1), 2016)

Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images. - Nitin Kumar 003; Ajit V. Rajwade 001; Sharat Chandran; Suyash P. Awate (ICIP, 2017)

Leaf classification using marginalized shape context and shape+texture dual-path deep convolutional neural network. - Meet P. Shah; Sougata Singha; Suyash P. Awate (ICIP, 2017)

Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex. - Suyash P. Awate; Richard M. Leahy; Anand A. Joshi (IPMI, 2017)

Bayesian Dictionary Learning and Undersampled Multishell HARDI Reconstruction. - Kratika Gupta; Suyash P. Awate (IPMI, 2017)

Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference. - Ayush Baid; Alankar Kotwal; Riddhish Bhalodia; S. N. Merchant; Suyash P. Awate (ISBI, 2017)

Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection. - Nitin Kumar 003; Ajit V. Rajwade 001; Sharat Chandran; Suyash P. Awate (MICCAI (3), 2017)

Sparse Kernel PCA for Outlier Detection. - Rudrajit Das; Aditya Golatkar; Suyash P. Awate (ICMLA, 2018)

Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary prior. - Prachi H. Kulkarni; S. N. Merchant; Suyash P. Awate (ISBI, 2018)

A novel Bayesian graphical model and perfect Monte Carlo EM algorithm for automated colocalization estimation in multichannel fluorescence microscopy. - Thyagarajan Radhakrishnan; K. Krishna Harsha Reddy; Suyash P. Awate (ISBI, 2018)

Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learning. - Meet P. Shah; S. N. Merchant; Suyash P. Awate (ISBI, 2018)

Perfect MCMC Sampling in Bayesian MRFs for Uncertainty Estimation in Segmentation. - Saurabh Garg 003; Suyash P. Awate (MICCAI (1), 2018)

MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation. - Meet P. Shah; S. N. Merchant; Suyash P. Awate (MICCAI (4), 2018)

Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction. - Viswanath P. Sudarshan; Zhaolin Chen; Suyash P. Awate (MICCAI (1), 2018)

Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. - Yash Bhalgat; Meet P. Shah; Suyash P. Awate (CoRR, 2018)

Bayesian Reconstruction of Undersampled Multicoil Hardi. - Kratika Gupta; Suyash P. Awate (ICIP, 2019)

Random Forests for Simultaneous-Multislice (SMS) Undersampled HARDI Reconstruction and Uncertainty Estimation. - Kratika Gupta; Suyash P. Awate (ICIP, 2019)

Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images. - Nitin Kumar 003; Sharat Chandran; Ajit V. Rajwade 001; Suyash P. Awate (ICIP, 2019)

A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration. - Rohit Jena; Suyash P. Awate (IPMI, 2019)

A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence Microscopy. - Thyagarajan Radhakrishnan; Suyash P. Awate (ISBI, 2019)

Robust Super-Resolution Gan, with Manifold-Based and Perception Loss. - Uddeshya Upadhyay; Suyash P. Awate (ISBI, 2019)

Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework. - Viswanath P. Sudarshan; Kratika Gupta; Gary F. Egan; Zhaolin Chen; Suyash P. Awate (MICCAI (3), 2019)

A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. - Uddeshya Upadhyay; Suyash P. Awate (MICCAI (5), 2019)

Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach. - Suyash P. Awate; Saurabh Garg 003; Rohit Jena (Medical Image Anal., 2019)

Generative Deep-Neural-Network Mixture Modeling with Semi-Supervised MinMax+EM Learning. - Nilay Pande; Suyash P. Awate (ICPR, 2020)

A Bayesian Deep CNN Framework for Reconstructing k-t-Undersampled Resting-fMRI. - Karan Taneja; Prachi H. Kulkarni; S. N. Merchant; Suyash P. Awate (ICPR, 2020)

Learning Image Inpainting from Incomplete Images using Self-Supervision. - Sriram Yenamandra; Ansh Khurana; Rohit Jena; Suyash P. Awate (ICPR, 2020)

R-FMRI Reconstruction from K-T Undersampled Simultaneous-Multislice (SMS) MRI with Controlled Aliasing: Towards Higher Spatial Resolution. - Prachi H. Kulkarni; Kratika Gupta; S. N. Merchant; Suyash P. Awate (ISBI, 2020)

Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size. - Saurabh J. Shigwan; Akshay V. Gaikwad; Suyash P. Awate (ISBI, 2020)

R-fMRI reconstruction from k-t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization. - Prachi H. Kulkarni; S. N. Merchant; Suyash P. Awate (Medical Image Anal., 2020)

Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior. - Viswanath P. Sudarshan; Gary F. Egan; Zhaolin Chen; Suyash P. Awate (Medical Image Anal., 2020)

Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images. - Nitin Kumar 003; Suyash P. Awate (IEEE Trans. Image Process., 2020)

Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. - Uddeshya Upadhyay; Viswanath P. Sudarshan; Suyash P. Awate (ICCVW, 2021)

Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations. - Akshay V. Gaikwad; Suyash P. Awate (IPMI, 2021)

Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples. - Sahar Almahfouz Nasser; Debjani Paul; Suyash P. Awate (CoRR, 2021)

Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data. - Viswanath P. Sudarshan; Uddeshya Upadhyay; Gary F. Egan; Zhaolin Chen; Suyash P. Awate (Medical Image Anal., 2021)

Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET. - Viswanath P. Sudarshan; Shenpeng Li; Sharna D. Jamadar; Gary F. Egan; Suyash P. Awate; Zhaolin Chen (NeuroImage, 2021)

Controllable Image Generation with Semi-supervised Deep Learning and Deformable-Mean-Template Based Geometry-Appearance Disentanglement. - Krishna Wadhwani; Suyash P. Awate (Pattern Recognit., 2021)

Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification. - Renuka Sharma; Suyash P. Awate (ISBI, 2022)

Semi-Supervised Deep Expectation-Maximization for Low-Dose Pet-Ct. - Vatsala Sharma; Ansh Khurana; Sriram Yenamandra; Suyash P. Awate (ISBI, 2022)

A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification. - Renuka Sharma; Satvik Mashkaria; Suyash P. Awate (WACV, 2022)

Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality. - Prachi H. Kulkarni; S. N. Merchant; Suyash P. Awate (Medical Image Anal., 2022)

Deep Semi-supervised Anomaly Detection Using VQ-VAE. - Renuka Sharma; Hengcan Shi; Jianfei Cai 001; Suyash P. Awate; Nick Birbilis (DICTA, 2023)

Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations. - Akshay V. Gaikwad; Harshit Varma; Suyash P. Awate (ICIP, 2023)

Adversarial Training with Multiscale Boundary-Prediction DNN for Robust Topologically-Constrained Segmentation in OOD Images. - Harshit Varma; Akshay V. Gaikwad; Suyash P. Awate (ISBI, 2023)

A Hard Convex-Shape Constraint In Dnns For Object Segmentation. - Jimut B. Pal; Suyash P. Awate (ICIP, 2024)

Adversarial EM For Partially-Supervised Image-Quality Enhancement: Application To Low-Dose Pet Imaging. - Vatsala Sharma; Suyash P. Awate (ICIP, 2024)

Convex Segments for Convex Objects Using DNN Boundary Tracing and Graduated Optimization. - Jimut B. Pal; Suyash P. Awate (MICCAI (8), 2024)

Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT. - Vatsala Sharma; Suyash P. Awate (Medical Image Anal., 2024)

Bayesian Learning with Stochastic Perturbations and Langevin Expectation Maximization for Unsupervised DNN Image Quality Enhancement. - Vatsala Sharma; Suyash P. Awate (IPMI (1), 2025)

On the Role of Adversarial Perturbations in Unsupervised Deep Learning for Enhancing Image Quality of Degraded Medical-Images. - Vatsala Sharma; Ashwin Goyal; Suyash P. Awate (ISBI, 2025)

Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning. - Jimut B. Pal; Shantanu Welling; Himali Saini; Suyash P. Awate (WACV, 2025)

A semi-supervised multiscale generalized-VAE framework for one-class classification. - Renuka Sharma; Suyash P. Awate (Neurocomputing, 2025)

Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling. - Tejomay Kishor Padole; Suyash P. Awate; Pushpak Bhattacharyya (CoRR, 2025)