Obaidullah Rahman

According to our database, Obaidullah Rahman authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Fast, Scalable, and Robust Deep Learning-based Iterative Reconstruction Framework for Accelerated Industrial Cone-beam X-ray Computed Tomography.

Aniket Pramanik, Obaidullah Rahman, Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari

CoRR, January, 2025

A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction.

Aniket Pramanik, Singanallur V. Venkatakrishnan, Obaidullah Rahman, Amirkoushyar Ziabari

CoRR, January, 2025

2024

2.5D Super-Resolution Approaches for X-Ray Computed Tomography-Based Inspection of Additively Manufactured Parts.

Haley Duba-Sullivan, Obaidullah Rahman, Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography.

Obaidullah Rahman, Singanallur V. Venkatakrishnan, Luke Scime, Paul Brackman, Curtis Frederick, Ryan Dehoff, Vincent C. Paquit, Amirkoushyar Ziabari

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

A Noise Preserving Sharpening Filter for CT Image Enhancement.

Madhuri Nagare, Jie Tang, Obaidullah Rahman, Brian Nett, Roman Melnyk, Ken D. Sauer, Charles A. Bouman

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

A Bias-Reducing Loss Function for CT Image Denoising.

Madhuri Nagare, Roman Melnyk, Obaidullah Rahman, Ken D. Sauer, Charles A. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2021