Author

M. Alimohammadi

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· 2 Immunology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

A. Ahmadian· 2 shared P. Farnia· 2 shared A. Amiri Tehrani Zade· 1 shared A. Mofayezi· 1 shared A. Rahmati· 1 shared B. Makki Abadi· 1 shared B. Makkiiabadi· 1 shared D. Sattari Khavas· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioengineering

A. Ahmadian

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

mRNA-based vaccine candidate COReNAPCIN(R) induces robust humoral and cellular immunity in mice and non-human primates

R. Alimohammadi, M. Porgoo, M. Eftekhary, S. H. Kiaie, E. Ansari Dezfouli, M. Dehghani, K. Nasrollah, T. Malekshahab, M. Heidari, S. Pouya, M. Alimohammadi, D. Sattari Khavas, M. S. Modaresi, M. H. Ghasemi, H. Ramyar, , M. Azizi

This paper reports that the mRNA-based vaccine COReNAPCIN(R) induces strong humoral and cellular immunity and protects against SARS-CoV-2 infection in mice and non-human primates.

bioRxiv · Mar 5, 2022Immunology

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