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ORCIDAniket Pramanik
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2020 – today
- 2023
[j3]Aniket Pramanik
, M. Bridget Zimmerman, Mathews Jacob:
Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees. IEEE Trans. Computational Imaging 9: 260-275 (2023)- [j2]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): 1133-1144 (2023) - [c8]Aniket Pramanik, Mathews Jacob:
Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL). ISBI 2023: 1-4 - [i9]Aniket Pramanik, Mathews Jacob:
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL). CoRR abs/2304.01351 (2023) - [i8]Aniket Pramanik, Sampada Bhave, Saurav Sajib, Samir D. Sharma, Mathews Jacob:
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL. CoRR abs/2304.11238 (2023) - 2022
- [c7]Aniket Pramanik, Mathews Jacob:
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. ECCV Workshops (3) 2022: 437-453 - [c6]Aniket Pramanik, Mathews Jacob:
Improved Model Based Deep Learning Using Monotone Operator Learning (Mol). ISBI 2022: 1-4 - [c5]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: 91-100 - [i7]Aniket Pramanik, Mathews Jacob:
Stable and memory-efficient image recovery using monotone operator learning (MOL). CoRR abs/2206.04797 (2022) - 2021
- [c4]Hemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob:
Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. ICASSP 2021: 1160-1164 - [c3]Aniket Pramanik, Mathews Jacob:
Reconstruction and Segmentation of Parallel MR Data Using Image Domain Deep-SLR. ISBI 2021: 1095-1098 - [i6]Aniket Pramanik, Mathews Jacob:
Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR. CoRR abs/2102.01172 (2021) - [i5]Aniket Pramanik, Xiaodong Wu, Mathews Jacob:
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. CoRR abs/2105.09220 (2021) - [i4]Aniket Pramanik, Mathews Jacob:
Improved Model based Deep Learning using Monotone Operator Learning (MOL). CoRR abs/2111.11380 (2021) - 2020
- [j1]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). IEEE Trans. Medical Imaging 39(12): 4186-4197 (2020) - [c2]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). ISBI 2020: 1428-1431
2010 – 2019
- 2019
- [c1]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Off-The-Grid Model Based Deep Learning (O-Modl). ISBI 2019: 1395-1398 - [i3]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL). CoRR abs/1911.12443 (2019) - [i2]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Deep Generalization of Structured Low Rank Algorithms (Deep-SLR). CoRR abs/1912.03433 (2019) - 2018
- [i1]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Off-the-grid model based deep learning (O-MODL). CoRR abs/1812.10747 (2018)
Coauthor Index
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