Author

Iain D. Carmichael

University of California, BerkeleyORCID 0000-0001-7239-035XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Ahmet DoǧaniD· 1 shared Atul Janardhan ButteiD· 1 shared Chuanyi Mark LuiD· 1 shared Dmitry B. GoldgofiD· 1 shared Fabienne McClanahan LucasiD· 1 shared Gregory Mark GoldgofiD· 1 shared Jacob D. SpectoriD· 1 shared Jacob G. Van CleaveiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

1 shared paperBioinformatics

Ahmet DoǧanORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

DeepHeme: A generalizable, bone marrow classifierwith hematopathologist-level performance

Gregory Mark Goldgof, Shenghuan Sun, Jacob G. Van Cleave, Linlin Wang, Fabienne McClanahan Lucas, Laura E. Brown, Jacob D. Spector, Leonardo Boiocchi, Jeeyeon Baik, Menglei Zhu, Orly Ardon, Chuanyi Mark Lu, Ahmet Doǧan, Dmitry B. Goldgof, Iain D. Carmichael, , Atul Janardhan Butte

DeepHeme is a convolutional neural network trained on bone marrow single-cell images that achieves high accuracy in classifying hematologic cell types, outperforming human experts.

bioRxiv · Feb 20, 2023 · PreprintBioinformatics