Farhad Imani

Orcid: 0000-0003-0837-9273

According to our database1, Farhad Imani authored at least 31 papers between 2011 and 2023.

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Bibliography

2023
Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022
Neural computation for robust and holographic face detection.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework.
CoRR, 2021

Scalable edge-based hyperdimensional learning system with brain-like neural adaptation.
Proceedings of the International Conference for High Performance Computing, 2021

Robust In-Memory Computing with Hyperdimensional Stochastic Representation.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2021

Using reinforcement learning for tuning genetic algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Heterogeneous Recurrence Analysis of Disease-Altered Spatiotemporal Patterns in Multi-Channel Cardiac Signals.
IEEE J. Biomed. Health Informatics, 2020

Hierarchical Gaussian Process Modeling and Estimation of State-action Transition Dynamics in Breast Cancer.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Markov Decision Process Modeling for Multi-stage Optimization of Intervention and Treatment Strategies in Breast Cancer.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Random Forest Modeling for Survival Analysis of Cancer Recurrences.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization.
IEEE Trans. Biomed. Eng., 2018

Markov Decision Process for Image-Guided Additive Manufacturing.
IEEE Robotics Autom. Lett., 2018

2017
Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

2016
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2016

Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015
Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions.
IEEE Trans. Medical Imaging, 2015

Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study.
IEEE Trans. Medical Imaging, 2015

Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis.
IEEE Trans. Biomed. Eng., 2015

Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2015

Asimulation analysis of the vehicle axle and spring assembly lines.
Proceedings of the 2015 Winter Simulation Conference, 2015

Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Characterization of aggressive prostate cancer using ultrasound RF time series.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014

2013
Ultrasound-Guided Characterization of Interstitial Ablated Tissue Using RF Time Series: Feasibility Study.
IEEE Trans. Biomed. Eng., 2013

Tissue Classification Using Ultrasound-Induced Variations in Acoustic Backscattering Features.
IEEE Trans. Biomed. Eng., 2013

Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2011
Monitoring of Tissue Ablation Using Time Series of Ultrasound RF Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011


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