Amirkoushyar Ziabari

26 papers A 1B 2Misc 3Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Modal Guidance for Fast Diffusion-Based Computed Tomography. CoRR Timofey Efimov, S. V. Venkatakrishnan, Maliha Hossain, Haley Duba-Sullivan, Amirkoushyar Ziabari
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
2024	—	`conf`	2.5D Super-Resolution Approaches for X-Ray Computed Tomography-Based Inspection of Additively Manufactured Parts. IEEECONF Haley Duba-Sullivan, Obaidullah Rahman, Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari
2024	J	`jnl`	Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing. CoRR Anika Tabassum, Amirkoushyar Ziabari
2024	—	`conf`	Edge Projection-Based Adaptive View Selection for Cone-Beam CT. IEEECONF Jingsong Lin, Singanallur V. Venkatakrishnan, Gregery T. Buzzard, Amirkoushyar Ziabari, Charles A. Bouman
2024	J	`jnl`	YOLO2U-Net: Detection-guided 3D instance segmentation for microscopy. Pattern Recognit. Lett. Amirkoushyar Ziabari, Derek C. Rose, Abbas Shirinifard, David J. Solecki
2023	B	`conf`	Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography. ICIP Obaidullah Rahman, Singanallur V. Venkatakrishnan, Luke Scime, Paul Brackman, Curtis Frederick, Ryan Dehoff, Vincent C. Paquit, Amirkoushyar Ziabari
2023	—	`conf`	Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications. High Performance Computing for Imaging Muralikrishnan Gopalakrishnan Meena, Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Isaac Lyngaas, Matthew R. Norman, Bálint Joó, Thomas L. Beck, Charles A. Bouman, Anuj J. Kapadia, Xiao Wang
2022	J	`jnl`	Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches. IEEE Signal Process. Mag. S. V. Venkatakrishnan, K. Aditya Mohan, Amirkoushyar Ziabari, Charles A. Bouman
2022	B	`conf`	Simurgh: A Framework for Cad-Driven Deep Learning Based X-Ray CT Reconstruction. ICIP Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Abhishek Dubey, Alex Lisovich, Paul Brackman, Curtis Frederick, Pradeep Bhattad, Philip R. Bingham, Alex Plotkowski, Ryan Dehoff, Vincent C. Paquit
2022	J	`jnl`	YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy. CoRR Amirkoushyar Ziabari, Derek C. Rose, Abbas Shirinifard, David J. Solecki
2021	—	`conf`	Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. ICONS Maryam Parsa, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy
2021	J	`jnl`	Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography. Mach. Learn. Sci. Technol. Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari, Jacob D. Hinkle, Andrew W. Needham, Jeffrey M. Warren, Hassina Z. Bilheux
2019	Misc	`conf`	A 2.5d Yolo-Based Fusion Algorithm for 3d Localization Of Cells. ACSSC Amirkoushyar Ziabari, Derek C. Rose, Matthew R. Eicholtz, David J. Solecki, Abbas Shirinifard
2019	—	`conf`	A Two-Tier Convolutional Neural Network for Combined Detection and Segmentation in Biological Imagery. GlobalSIP Amirkoushyar Ziabari, Abbas Shirinifard, Matthew R. Eicholtz, David J. Solecki, Derek C. Rose
2019	A	`conf`	PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. ICCAD Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy
2019	J	`jnl`	PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. CoRR Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy
2019	J	`jnl`	Physics-Based Regularizer for Joint Soft Segmentation and Reconstruction of Electron Microscopy Images of Polycrystalline Microstructures. IEEE Trans. Computational Imaging Amirkoushyar Ziabari, Jeffrey M. Rickman, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman
2019	J	`jnl`	X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR. CoRR Amirkoushyar Ziabari, Michael Kirka, Vincent C. Paquit, Philip R. Bingham, Singanallur V. Venkatakrishnan
2018	Misc	`conf`	2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation. ACSSC Amirkoushyar Ziabari, Dong Hye Ye, Somesh Srivastava, Ken D. Sauer, Jean-Baptiste Thibault, Charles A. Bouman
2017	Misc	`conf`	Physics based modeling for the development of soft segmentation and reconstruction algorithms. ACSSC Amirkoushyar Ziabari, Jeffrey M. Rickman, Jeffrey P. Simmons, Charles A. Bouman
2016	—	`—`	Finite element and imaging approaches to analyze multiscale electrothermal phenomena Amirkoushyar Ziabari
2014	J	`jnl`	Minimizing thermally induced interfacial shearing stress in a thermoelectric module with low fractional area coverage. Microelectron. J. Amirkoushyar Ziabari, Ephraim Suhir, Ali Shakouri
2014	J	`jnl`	Power Blurring: Fast Static and Transient Thermal Analysis Method for Packaged Integrated Circuits and Power Devices. IEEE Trans. Very Large Scale Integr. Syst. Amirkoushyar Ziabari, Je-Hyoung Park, Ehsan K. Ardestani, Jose Renau, Sung-Mo Kang, Ali Shakouri