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Mousa Shamsi

Showing results (21-30 of 27) with videos related to

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Biomedical Engineering Online|April 17, 2026
Incorporating normal periventricular changes for enhanced pathological white matter hyperintensity segmentation: on multiclass deep learning approachesMahdi Bashiri Bawil, Mousa Shamsi, Ali Fahmi Jafargholkhanloo, et al.
Molecular Genetics and Genomics : MGG|January 6, 2020
Development of a new oligonucleotide block location-based feature extraction (BLBFE) method for the classification of riboswitchesF Golabi, Mousa Shamsi, M H Sedaaghi, et al.
Advanced Pharmaceutical Bulletin|February 1, 2020
Classification of Riboswitch Families Using Block Location-Based Feature Extraction (BLBFE) MethodFaegheh Golabi, Mousa Shamsi, Mohammad Hosein Sedaaghi, et al.
Bioimpacts : BI|May 2, 2018
Development of a new sequential block finding strategy for detection of conserved sequences in riboswitchesFaegheh Golabi, Mousa Shamsi, Mohammad Hosein Sedaaghi, et al.
Scientific Data|April 14, 2026
A Multiple Sclerosis MRI Dataset with Tri-Mask Annotations for Lesion SegmentationMahdi Bashiri Bawil, Mousa Shamsi, Aydin Ghalehasadi, et al.
Journal of Medical Signals and Sensors|August 19, 2015
Fully Automated Complementary DNA Microarray Segmentation using a Novel Fuzzy-based AlgorithmHamidreza Saberkari, Sheyda Bahrami, Mousa Shamsi, et al.
Bioimpacts : BI|April 12, 2021
Classification of seed members of five riboswitch families as short sequences based on the features extracted by Block Location-Based Feature Extraction (BLBFE) methodFaegheh Golabi, Elnaz Mehdizadeh Aghdam, Mousa Shamsi, et al.
Pageof 3

Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
Biomedical Engineering Online|April 17, 2026
Incorporating normal periventricular changes for enhanced pathological white matter hyperintensity segmentation: on multiclass deep learning approachesMahdi Bashiri Bawil, Mousa Shamsi, Ali Fahmi Jafargholkhanloo, et al.
Molecular Genetics and Genomics : MGG|January 6, 2020
Development of a new oligonucleotide block location-based feature extraction (BLBFE) method for the classification of riboswitchesF Golabi, Mousa Shamsi, M H Sedaaghi, et al.
Advanced Pharmaceutical Bulletin|February 1, 2020
Classification of Riboswitch Families Using Block Location-Based Feature Extraction (BLBFE) MethodFaegheh Golabi, Mousa Shamsi, Mohammad Hosein Sedaaghi, et al.
Bioimpacts : BI|May 2, 2018
Development of a new sequential block finding strategy for detection of conserved sequences in riboswitchesFaegheh Golabi, Mousa Shamsi, Mohammad Hosein Sedaaghi, et al.
Scientific Data|April 14, 2026
A Multiple Sclerosis MRI Dataset with Tri-Mask Annotations for Lesion SegmentationMahdi Bashiri Bawil, Mousa Shamsi, Aydin Ghalehasadi, et al.
Journal of Medical Signals and Sensors|August 19, 2015
Fully Automated Complementary DNA Microarray Segmentation using a Novel Fuzzy-based AlgorithmHamidreza Saberkari, Sheyda Bahrami, Mousa Shamsi, et al.
Bioimpacts : BI|April 12, 2021
Classification of seed members of five riboswitch families as short sequences based on the features extracted by Block Location-Based Feature Extraction (BLBFE) methodFaegheh Golabi, Elnaz Mehdizadeh Aghdam, Mousa Shamsi, et al.
Pageof 3