Aniket Pramanik

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Unsupervised Learning

Sparsely Sampled

Top Venues

IEEE Trans. Medical Imaging

ECCV Workshops (3)

Publications

Aniket Pramanik, M. Bridget Zimmerman, Mathews Jacob
Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees. IEEE Trans. Computational Imaging 9 (2023)
Aniket Pramanik, Mathews Jacob
Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL). ISBI (2023)
Hemant Kumar Aggarwal, Aniket Pramanik, Maneesh John, Mathews Jacob
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms. IEEE Trans. Medical Imaging 42 (4) (2023)
Aniket Pramanik, Mathews Jacob
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL). CoRR (2023)
Aniket Pramanik, Sampada Bhave, Saurav Sajib, Samir D. Sharma, Mathews Jacob
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL. CoRR (2023)
Aniket Pramanik, Mathews Jacob
Improved Model Based Deep Learning Using Monotone Operator Learning (Mol). ISBI (2022)
Aniket Pramanik, Mathews Jacob
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. ECCV Workshops (3) (2022)
Aniket Pramanik, Mathews Jacob
Stable and memory-efficient image recovery using monotone operator learning (MOL). CoRR (2022)
Anitha Priya Krishnan, Roshan Reddy Upendra, Aniket Pramanik, Zhuang Song, Richard A. D. Carano
Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance. SASHIMI@MICCAI (2022)
Aniket Pramanik, Mathews Jacob
Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR. CoRR (2021)
Aniket Pramanik, Mathews Jacob
Improved Model based Deep Learning using Monotone Operator Learning (MOL). CoRR (2021)
Hemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob
Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. ICASSP (2021)
Aniket Pramanik, Xiaodong Wu, Mathews Jacob
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. CoRR (2021)
Aniket Pramanik, Mathews Jacob
Reconstruction and Segmentation of Parallel MR Data Using Image Domain Deep-SLR. ISBI (2021)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). IEEE Trans. Medical Imaging 39 (12) (2020)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). ISBI (2020)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Off-The-Grid Model Based Deep Learning (O-Modl). ISBI (2019)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL). CoRR (2019)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Deep Generalization of Structured Low Rank Algorithms (Deep-SLR). CoRR (2019)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Off-the-grid model based deep learning (O-MODL). CoRR (2018)