Author

Ehsan Mohamad Kazemi

Yale UniversityORCID 0000-0001-8427-054XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:human· 1

Frequent Co-Authors

Iman HajirasoulihaiD· 2 shared Olivier ElementoiD· 2 shared Pegah KhosraviiD· 2 shared Cristina Fontes Lindemann HickmaniD· 1 shared Jonas E. MalmsteniD· 1 shared Marcin B. ImielinskiiD· 1 shared Marco Toschi· 1 shared Marcos MesegueriD· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 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 papersBioinformatics

Iman HajirasoulihaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 20, 2018

Robust Automated Assessment of Human Blastocyst Quality using Deep Learning

Pegah Khosravi, Ehsan Mohamad Kazemi, Qiansheng Zhan…·Iman Hajirasouliha

This paper develops an AI system to assess human blastocyst quality using deep learning, achieving 98% accuracy and identifying clinical factors affecting pregnancy rates.

24 citations

humanimaging

𝕏 PostBluesky

BioinformaticsEBioMedicinePeer-reviewedDec 28, 2017

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

Pegah Khosravi, Ehsan Mohamad Kazemi, Marcin B. Imielinski…·Iman Hajirasouliha

This study develops a CNN-based pipeline to classify histopathology images across cancer types and biomarkers, achieving high accuracy in distinguishing cancer subtypes and IHC scores.

334 citationstop 1%

imagingdeep learning

𝕏 PostBluesky