Author

P. Farnia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Research Focus:clustering· 3 Approach:deep learning· 3 Assay:imaging· 3 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Organism:mouse· 1

Frequent Co-Authors

A. Ahmadian· 3 shared M. Alimohammadi· 2 shared A. Amiri Tehrani Zade· 1 shared B. Makki Abadi· 1 shared B. Makkiiabadi· 1 shared E. Najafzadeh· 1 shared H. Moghadssi· 1 shared J. Alirezaie· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBioengineering

A. Ahmadian

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

D2BGAN: Dual Discriminator Bayesian Generative Adversarial Network for Deformable MR-Ultrasound Registration Applied to Brain Shift compensation

M. Rahmani, H. Moghadssi, P. Farnia, A. Ahmadian

This paper introduces D2BGAN, a dual discriminator Bayesian GAN for MR-ultrasound registration, achieving improved accuracy in brain shift compensation with a mean TRE of 0.75 mm.

bioRxiv · Jan 22, 2022Bioengineering

Photoacoustic-MR Images Registration Based on Co-Sparse Analysis Model to Compensate for Brain Shift

P. Farnia, B. Makkiiabadi, M. Alimohammadi, E. Najafzadeh, M. Basij, Y. Yan, M. Mehrmohammadi, A. Ahmadian

This study proposes a co-sparse analysis model for registering intra-operative photoacoustic images with pre-operative MR images to improve brain shift compensation in neurosurgery.

bioRxiv · Jul 28, 2021Bioengineering

Accurate Automatic Glioma Segmentation in Brain MRI images Based on CapsNet

M. Jalili Aziz, A. Amiri Tehrani Zade, P. Farnia, M. Alimohammadi, B. Makki Abadi, A. Ahmadian, J. Alirezaie

This paper introduces SegCaps, a capsule network for glioma segmentation in MRI images, achieving higher accuracy with fewer data and parameters than U-Net.

bioRxiv · Jul 3, 2021 · PreprintBioengineering