S. Awate

发表

Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification

Suyash P. Awate, Ross T. Whitaker, Tolga Tasdizen, 2006, Medical Image Anal..

Nonparametric Statistics of Image Neighborhoods for Unsupervised Texture Segmentation

Suyash P. Awate, Ross T. Whitaker, Tolga Tasdizen, 2005 .

Computer Vision, Graphics, and Image Processing

Suyash P. Awate, Jayanthi Sivaswamy, Santanu Chaudhury, 2016, Lecture Notes in Computer Science.

Unsupervised, information-theoretic, adaptive image filtering for image restoration

Suyash P. Awate, Ross T. Whitaker, R. Whitaker, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database

Avishek Saha, Guido Gerig, Valerio Pascucci, 2013, MBIA.

Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing

Suyash P. Awate, Saurabh J. Shigwan, S. Shigwan, 2016, MICCAI.

A Statistical Model for Smooth Shapes in Kendall Shape Space

Suyash P. Awate, Akshay V. Gaikwad, Saurabh J. Shigwan, 2015, MICCAI.

Assessment of MRI-Based Automated Fetal Cerebral Cortical Folding Measures in Prediction of Gestational Age in the Third Trimester

C. Clouchoux, D. Licht, C. Limperopoulos, 2015, American Journal of Neuroradiology.

Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks pdf

Suyash P. Awate, Meet Shah, Yash Bhalgat, 2018, ArXiv.

MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation

S. N. Merchant, Suyash P. Awate, Meet P. Shah, 2018, MICCAI.

A functional network estimation method of resting-state fMRI using a hierarchical Markov random field

Suyash P. Awate, P. Thomas Fletcher, Jeffrey S. Anderson, 2014, NeuroImage.

Adaptive, nonparametric markov models and information-theoretic methods for image restoration and segmentation

Suyash P. Awate, Ross T. Whitaker, R. Whitaker, 2006 .

A fuzzy, nonparametric segmentation framework for DTI and MRI analysis: with applications to DTI-tract extraction.

Suyash P. Awate, J. Gee, Hui Zhang, 2007, IEEE transactions on medical imaging.

Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data

Gary F. Egan, Suyash P. Awate, Viswanath P. Sudarshan, 2021, Medical Image Anal..

Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach

Saurabh Garg, Rohit Jena, Suyash P Awate, 2019, Medical Image Anal..

Perfect MCMC Sampling in Bayesian MRFs for Uncertainty Estimation in Segmentation

Suyash P. Awate, Saurabh Garg, S. Garg, 2018, MICCAI.

Leaf classification using marginalized shape context and shape+texture dual-path deep convolutional neural network

Suyash P. Awate, Meet P. Shah, Sougata Singha, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Robust Super-Resolution Gan, with Manifold-Based and Perception Loss

Suyash P. Awate, Uddeshya Upadhyay, Uddeshya Upadhyay, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations

Suyash P. Awate, Akshay V. Gaikwad, S. Awate, 2021, Information Processing in Medical Imaging.

An Interactive Parallel Multiprocessor Level-Set Solver with Dynamic Load Balancing

Suyash P. Awate, S. Awate, 2004 .

Learning Image Inpainting from Incomplete Images using Self-Supervision

Suyash P. Awate, Rohit Jena, Ansh Khurana, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI

Suyash P. Awate, P. Thomas Fletcher, Jeffrey S. Anderson, 2011, MLMI.

Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics

Suyash P. Awate, Ross T. Whitaker, Tolga Tasdizen, 2006, ECCV.

Image denoising with unsupervised, information-theoretic, adaptive filtering

Suyash P. Awate, R. Whitaker, S. Awate, 2004 .

Building spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimation

Guido Gerig, Suyash P. Awate, Marcel Prastawa, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Multimodal Brain Image Analysis

Avishek Saha, Guido Gerig, Valerio Pascucci, 2011, Lecture Notes in Computer Science.

Point Set Registration Using Havrda–Charvat–Tsallis Entropy Measures

Suyash P. Awate, James C. Gee, Gang Song, 2011, IEEE Transactions on Medical Imaging.

Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior

Zhaolin Chen, Viswanath P. Sudarshan, Suyash P Awate, 2020, Medical Image Anal..

Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction

Zhaolin Chen, Suyash P. Awate, Viswanath P. Sudarshan, 2018, MICCAI.

Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement

Suyash P. Awate, Viswanath P. Sudarshan, Uddeshya Upadhyay, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration

Suyash P. Awate, Rohit Jena, Rohit Jena, 2019, IPMI.

Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples pdf

Suyash P. Awate, Debjani Paul, Sahar A. Nasser, 2021, ArXiv.

A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features

Suyash P. Awate, Paul A. Yushkevich, James C. Gee, 2010, Medical Image Anal..

A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features

Suyash P. Awate, Paul A. Yushkevich, James C. Gee, 2009, MICCAI.

Nonparametric Markov priors for tissue segmentation

Suyash P. Awate, Zhuang Song, James C. Gee, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors

Suyash P. Awate, Zhuang Song, Daniel J. Licht, 2007, MICCAI.

Appearance and incomplete label matching for diffeomorphic template based hippocampus segmentation

James C Gee, Brian B Avants, John A Detre, 2009, Hippocampus.

PET Image Reconstruction using Joint MR-PET Dictionary

Zhaolin Chen, Suyash P. Awate, Viswanath P. Sudarshan, 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).

Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary prior

S. N. Merchant, Suyash P. Awate, Prachi H. Kulkarni, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Compressed sensing HARDI via rotation-invariant concise dictionaries, flexible K-space undersampling, and multiscale spatial regularity

Suyash P. Awate, Edward V. R. Di Bella, E. D. Bella, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Spatiotemporal dictionary learning for undersampled dynamic MRI reconstruction via joint frame-based and dictionary-based sparsity

Suyash P. Awate, Edward V. R. Di Bella, E. D. Bella, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learning

S. N. Merchant, Suyash P. Awate, Meet P. Shah, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature Space

Suyash P. Awate, Nishanth N. Koushik, S. Awate, 2016, ECML/PKDD.

Kernel Principal Geodesic Analysis

Suyash P. Awate, Ross T. Whitaker, Yen-Yun Yu, 2014, ECML/PKDD.

Controllable Image Generation with Semi-supervised Deep Learning and Deformable-Mean-Template Based Geometry-Appearance Disentanglement

Suyash P. Awate, Krishna Wadhwani, Krishna Wadhwani, 2021, Pattern Recognit..

Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference

S. N. Merchant, Suyash P. Awate, Alankar Kotwal, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Joint desmoking and denoising of laparoscopy images

Suyash P. Awate, Alankar Kotwal, Riddhish Bhalodia, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development

Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, 2010, NeuroImage.

Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes

Suyash P. Awate, Ross T. Whitaker, Zhisong Fu, 2013, IPMI.

Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images

Suyash P. Awate, Nitin Kumar, Nitin Kumar, 2020, IEEE Transactions on Image Processing.

Temporally constrained reconstruction of dynamic cardiac perfusion MRI

Suyash P. Awate, Ganesh Adluru, Tolga Tasdizen, 2007, Magnetic resonance in medicine.

Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images

Suyash P. Awate, Ajit Rajwade, Sharat Chandran, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection

Nitin Kumar, Suyash P. Awate, Sharat Chandran, 2017, MICCAI.

Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images

Nitin Kumar, Suyash P. Awate, Sharat Chandran, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation

Guido Gerig, Suyash P. Awate, John D. Van Horn, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Fuzzy Nonparametric DTI Segmentation for Robust Cingulum-Tract Extraction

Suyash P. Awate, James C. Gee, Hui Zhang, 2007, MICCAI.

A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction

Suyash P. Awate, James C. Gee, J. Gee, 2007, IEEE Transactions on Medical Imaging.

MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach

Suyash P. Awate, Ross T. Whitaker, Tolga Tasdizen, 2005, MICCAI.

A nonparametric, entropy-minimizing MRI tissue classification algorithm implementation using ITK

T. Tasdizen, R. Whitaker, S. Awate, 2005, The Insight Journal.

Adaptive, Nonparametric Markov Modeling for Unsupervised, MRI Brain-Tissue Classification

Suyash P. Awate, Ross T. Whitaker, Tolga Tasdizen, 2006 .

3D Cerebral Cortical Morphometry in Autism: Increased Folding in Children and Adolescents in Frontal, Parietal, and Temporal Lobes

Robert T. Schultz, Suyash P. Awate, Paul A. Yushkevich, 2008, MICCAI.

Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification

Suyash P. Awate, Renuka Sharma, S. Awate, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification

Satvik Mashkaria, Renuka Sharma, S. Awate, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Maria A. Zuluaga, M. Jorge Cardoso, Suyash P. Awate, 2023, ArXiv.

A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement

Suyash P. Awate, Uddeshya Upadhyay, Uddeshya Upadhyay, 2019, MICCAI.

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, 2009, MICCAI.

Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET

Gary F. Egan, Suyash P. Awate, Shenpeng Li, 2021, NeuroImage.

Improved temporal resolution for mapping brain metabolism using functional PET and anatomical MRI knowledge

Gary F. Egan, Suyash P. Awate, Shenpeng Li, 2020, bioRxiv.