Aniket Pramanik

23 papers Misc 1Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Fast, Scalable, and Robust Deep Learning-based Iterative Reconstruction Framework for Accelerated Industrial Cone-beam X-ray Computed Tomography. CoRR Aniket Pramanik, Obaidullah Rahman, Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari
2025	J	`jnl`	A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction. CoRR Aniket Pramanik, Singanallur V. Venkatakrishnan, Obaidullah Rahman, Amirkoushyar Ziabari
2025	J	`jnl`	Plug-and-Play with 2.5D Artifact Reduction Prior for Fast and Accurate Industrial Computed Tomography Reconstruction. CoRR Haley Duba-Sullivan, Aniket Pramanik, S. V. Venkatakrishnan, Amirkoushyar Ziabari
2023	—	`conf`	Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL). ISBI Aniket Pramanik, Mathews Jacob
2023	J	`jnl`	Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL). CoRR Aniket Pramanik, Mathews Jacob
2023	J	`jnl`	Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL. CoRR Aniket Pramanik, Sampada Bhave, Saurav Sajib, Samir D. Sharma, Mathews Jacob
2023	J	`jnl`	ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms. IEEE Trans. Medical Imaging Hemant Kumar Aggarwal, Aniket Pramanik, Maneesh John, Mathews Jacob
2023	J	`jnl`	Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees. IEEE Trans. Computational Imaging Aniket Pramanik, M. Bridget Zimmerman, Mathews Jacob
2022	—	`conf`	Improved Model Based Deep Learning Using Monotone Operator Learning (Mol). ISBI Aniket Pramanik, Mathews Jacob
2022	—	`conf`	Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. ECCV Workshops (3) Aniket Pramanik, Mathews Jacob
2022	—	`conf`	Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance. SASHIMI@MICCAI Anitha Priya Krishnan, Roshan Reddy Upendra, Aniket Pramanik, Zhuang Song, Richard A. D. Carano
2022	J	`jnl`	Stable and memory-efficient image recovery using monotone operator learning (MOL). CoRR Aniket Pramanik, Mathews Jacob
2021	Misc	`conf`	Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. ICASSP Hemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob
2021	J	`jnl`	Improved Model based Deep Learning using Monotone Operator Learning (MOL). CoRR Aniket Pramanik, Mathews Jacob
2021	J	`jnl`	Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. CoRR Aniket Pramanik, Xiaodong Wu, Mathews Jacob
2021	—	`conf`	Reconstruction and Segmentation of Parallel MR Data Using Image Domain Deep-SLR. ISBI Aniket Pramanik, Mathews Jacob
2021	J	`jnl`	Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR. CoRR Aniket Pramanik, Mathews Jacob
2020	—	`conf`	Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). ISBI Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2020	J	`jnl`	Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). IEEE Trans. Medical Imaging Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2019	J	`jnl`	Calibrationless Parallel MRI using Model based Deep Learning (C-MODL). CoRR Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2019	J	`jnl`	Deep Generalization of Structured Low Rank Algorithms (Deep-SLR). CoRR Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2019	—	`conf`	Off-The-Grid Model Based Deep Learning (O-Modl). ISBI Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
2018	J	`jnl`	Off-the-grid model based deep learning (O-MODL). CoRR Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob