Suyash P. Awate

Employment

• Indian Institute of Technology Bombay Professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (82)

• Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation
  Machine Learning for Biomedical Imaging 2026 DOI: 10.59275/j.melba.2026-6d54
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• Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT
  Medical Image Analysis 2024 DOI: 10.1016/j.media.2024.103291
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• Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality
  Medical Image Analysis 2022 DOI: 10.1016/j.media.2022.102392
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• Dictionary+Wavelet Model With Nested-Minorized VB-EM for SMS-CAIPI R-fMRI Reconstruction
  IEEE Open Journal of Signal Processing 2021 DOI: 10.1109/OJSP.2021.3100751
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• R-fMRI reconstruction from k–t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization
  Medical Image Analysis 2020 DOI: 10.1016/j.media.2020.101752
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• Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior
  Medical Image Analysis 2020 DOI: 10.1016/j.media.2020.101669
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• Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images
  IEEE Transactions on Image Processing 2020 DOI: 10.1109/TIP.2020.2975958
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• Sparse Kernel PCA for Outlier Detection
  Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018 2019 DOI: 10.1109/ICMLA.2018.00030
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• Robust super-resolution gan, with manifold-based and perception loss
  Proceedings - International Symposium on Biomedical Imaging 2019 DOI: 10.1109/ISBI.2019.8759375
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• Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019 DOI: 10.1007/978-3-030-32248-9_5
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