Suyash P. Awate
Orcid: 0000-0002-4945-9539
According to our database1,
Suyash P. Awate
authored at least 92 papers
between 2005 and 2023.
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Bibliography
2023
Adversarial Training with Multiscale Boundary-Prediction DNN for Robust Topologically-Constrained Segmentation in OOD Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations.
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality.
Medical Image Anal., 2022
A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Controllable Image Generation with Semi-supervised Deep Learning and Deformable-Mean-Template Based Geometry-Appearance Disentanglement.
Pattern Recognit., 2021
Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET.
NeuroImage, 2021
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data.
Medical Image Anal., 2021
Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples.
CoRR, 2021
Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations.
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images.
IEEE Trans. Image Process., 2020
Medical Image Anal., 2020
R-fMRI reconstruction from <i>k</i>-<i>t</i> undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization.
Medical Image Anal., 2020
Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
R-FMRI Reconstruction from K-T Undersampled Simultaneous-Multislice (SMS) MRI with Controlled Aliasing: Towards Higher Spatial Resolution.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Generative Deep-Neural-Network Mixture Modeling with Semi-Supervised MinMax+EM Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Medical Image Anal., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence Microscopy.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration.
Proceedings of the Information Processing in Medical Imaging, 2019
Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Random Forests for Simultaneous-Multislice (SMS) Undersampled HARDI Reconstruction and Uncertainty Estimation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks.
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
A novel Bayesian graphical model and perfect Monte Carlo EM algorithm for automated colocalization estimation in multichannel fluorescence microscopy.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary prior.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
Leaf classification using marginalized shape context and shape+texture dual-path deep convolutional neural network.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach.
Proceedings of the Information Processing in Medical Imaging, 2015
2014
IEEE Trans. Medical Imaging, 2014
A functional network estimation method of resting-state fMRI using a hierarchical Markov random field.
NeuroImage, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
Proper ordered meshing of complex shapes and optimal graph cuts applied to atrial-wall segmentation from DE-MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Compressed sensing HARDI via rotation-invariant concise dictionaries, flexible K-space undersampling, and multiscale spatial regularity.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Building spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimation.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Spatiotemporal dictionary learning for undersampled dynamic MRI reconstruction via joint frame-based and dictionary-based sparsity.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
IEEE Trans. Medical Imaging, 2011
Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
2010
Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development.
NeuroImage, 2010
A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features.
Medical Image Anal., 2010
2009
Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration.
Proceedings of the Information Processing in Medical Imaging, 2009
Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease.
Proceedings of the Information Processing in Medical Imaging, 2009
2008
3D Cerebral Cortical Morphometry in Autism: Increased Folding in Children and Adolescents in Frontal, Parietal, and Temporal Lobes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction.
IEEE Trans. Medical Imaging, 2007
IEEE Trans. Medical Imaging, 2007
Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Information Processing in Medical Imaging, 2007
2006
IEEE Trans. Pattern Anal. Mach. Intell., 2006
Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification.
Medical Image Anal., 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the Computer Vision, 2006
2005
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the Information Processing in Medical Imaging, 2005
Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005