Author

H. Abrishami Moghaddam

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· 4

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electrophysiology· 1

Frequent Co-Authors

A. Chalechale· 1 shared A. Kazemloo· 1 shared A. Khadem· 1 shared E. Hokmabadi· 1 shared F. Daneshvarfard· 1 shared F. Wallois· 1 shared L. Sadeghi· 1 shared M. Gity· 1 shared

Activity by Year

2022-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperBioengineering

A. Chalechale

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Author profile →

4 papers

Recent·Most cited

Assessment of resting state structural-functional relationships in perisylvian region during the early weeks after birth

R. Namiranian, H. Abrishami Moghaddam, A. Khadem, R. Jafari, A. Chalechale

This study examines structural-functional relationships in the perisylvian region of neonates using combined metrics, finding that myelination is more strongly linked to functional connectivity and fALFF than morphology.

bioRxiv · Oct 26, 2023Bioengineering

Skull and scalp segmentation in neonatal cerebral MRI using subject-specific probability models

E. Hokmabadi, H. Abrishami Moghaddam, M. Mohtasebi, A. Kazemloo, M. Gity, F. Wallois

This paper introduces a method for segmenting cranial bones and scalp in neonatal MRIs using subject-specific probability maps and evaluates its performance against existing tools.

bioRxiv · May 6, 2022 · PreprintBioengineering

A correlational study between microstructural, macrostructural and functional age-related changes in the human visual cortex

H. Abrishami Moghaddam, S. Rahimi Malakshan, F. Daneshvarfard

This study examines age-related correlations between microstructural, macrostructural, and functional changes in the human visual cortex using EEG and MRI data.

bioRxiv · Mar 17, 2022Bioengineering

A Dynamic Bottom-Up Saliency Detection Method for Still Images

L. Sadeghi, S. Kamkar, H. Abrishami Moghaddam

This paper introduces a dynamic bottom-up saliency detection method for still images, outperforming static methods on the DOVES dataset and showing acceptable performance on MIT1003.

bioRxiv · Mar 9, 2022 · PreprintBioengineering