Amirkoushyar Ziabari

Orcid: 0000-0003-4776-457X

According to our database1, Amirkoushyar Ziabari authored at least 17 papers between 2014 and 2024.

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Bibliography

2024
YOLO2U-Net: Detection-guided 3D instance segmentation for microscopy.
Pattern Recognit. Lett., 2024

2023
Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography.
Proceedings of the IEEE International Conference on Image Processing, 2023

Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications.
Proceedings of the High Performance Computing for Imaging 2023, 2023

2022
Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches.
IEEE Signal Process. Mag., 2022

Simurgh: A Framework for Cad-Driven Deep Learning Based X-Ray CT Reconstruction.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography.
Mach. Learn. Sci. Technol., 2021

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2019
Physics-Based Regularizer for Joint Soft Segmentation and Reconstruction of Electron Microscopy Images of Polycrystalline Microstructures.
IEEE Trans. Computational Imaging, 2019

X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR.
CoRR, 2019

PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design.
Proceedings of the International Conference on Computer-Aided Design, 2019

A Two-Tier Convolutional Neural Network for Combined Detection and Segmentation in Biological Imagery.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

A 2.5d Yolo-Based Fusion Algorithm for 3d Localization Of Cells.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Physics based modeling for the development of soft segmentation and reconstruction algorithms.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Finite element and imaging approaches to analyze multiscale electrothermal phenomena
PhD thesis, 2016

2014
Power Blurring: Fast Static and Transient Thermal Analysis Method for Packaged Integrated Circuits and Power Devices.
IEEE Trans. Very Large Scale Integr. Syst., 2014

Minimizing thermally induced interfacial shearing stress in a thermoelectric module with low fractional area coverage.
Microelectron. J., 2014


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