Author

Nima Rafiee

Heinrich Heine University DüsseldorfORCID 0000-0002-3193-9534Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:contrastive learning· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

Markus KollmanniD· 2 shared Rahil GholamipoorfardiD· 2 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Markus KollmannORCID

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2 papers

Recent·Most cited

Abnormality Detection for Medical Images UsingSelf-Supervision and Negative Samples

Nima Rafiee, Rahil Gholamipoorfard, Markus Kollmann

This work explores creating negative samples for medical image abnormality detection using self-supervised self-distillation, showing improved performance on pneumonia, polyp, and glaucoma detection.

International Conference on Bioinformatics Research and Applications (ICBRA) · Sep 22, 2023Peer-reviewedBioinformatics

Pneumonia Detection with Semantic Similarity Scores

Rahil Gholamipoor, Nima Rafiee, Markus Kollmann

This paper develops an abnormality detection method for pneumonia using self-supervised contrastive learning and Mahalanobis distance scores, outperforming previous unsupervised methods.

IEEE International Symposium on Biomedical Imaging (ISBI) · Mar 28, 2022Peer-reviewedBioinformatics