Author

M. H. Mozaffari

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

M. A. R. Ratul· 2 shared D. E. Parimbelli· 1 shared D. W. Lee· 1 shared E. Parimbelli· 1 shared W. Lee· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

M. A. R. Ratul

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Skin Lesions Classification Using Deep Learning Based on Dilated Convolution

M. A. R. Ratul, M. H. Mozaffari, D. W. Lee, D. E. Parimbelli

This paper applies dilated convolution to deep learning models for skin lesion classification, achieving high accuracy with InceptionV3 on the HAM10000 dataset.

bioRxiv · Jun 5, 2020 · PreprintCancer Biology

Atrous Convolution with Transfer Learning for Skin Lesions Classification

M. A. R. Ratul, M. H. Mozaffari, E. Parimbelli, W. Lee

This paper applies atrous convolution with transfer learning to classify skin lesions using the HAM10000 dataset, achieving high accuracy with efficient models.

bioRxiv · Sep 14, 2019 · PreprintCancer Biology