Author

Jonas E. Malmsten

Weill Cornell MedicineORCID 0000-0001-6740-6548Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Iman HajirasoulihaiD· 2 shared Marcos MesegueriD· 2 shared Nikica ZaninovićiD· 2 shared Olivier ElementoiD· 2 shared Qiansheng ZhaniD· 2 shared Zev Rosenwaks· 2 shared Alexandros SigarasiD· 1 shared Cristina Fontes Lindemann HickmaniD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersDevelopmental Biology

Iman HajirasoulihaORCID

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2 papers

Recent·Most cited

Developmental BiologyNature CommunicationsPeer-reviewedSep 5, 2024

Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse Imaging

Suraj Rajendran, Matthew Brendel, Josue Barnes…·Iman Hajirasouliha

This paper develops BELA, a deep learning model for ploidy prediction in human blastocysts using time-lapse imaging, achieving an AUC of 0.76 on the Weill Cornell dataset.

31 citationstop 1%

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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

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