Author

Ahmed Qazi

ORCID 0009-0002-1467-2935Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1

Frequent Co-Authors

Asim IqbaliD· 2 shared Taha RazzaqiD· 2 shared Adam CaccavanoiD· 1 shared Alex C. Cummins· 1 shared Ana PereiraiD· 1 shared Anna VlachosiD· 1 shared Anne Claire TangeniD· 1 shared Anne E. TakesianiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Asim IqbalORCID

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2 papers

Recent·Most cited

NeuroscienceIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Peer-reviewedJun 11, 2025

Segment AnyNeuron

Taha Razzaq, Ahmed Qazi, Asim Iqbal

Segment AnyNeuron is an active learning framework for neuron segmentation using minimal annotations, achieving high precision on diverse neuron imaging datasets.

DOI 10.1109/cvprw67362.2025.00413

mousespatial transcriptomics

𝕏 PostBluesky

NeuroscienceNeuronPeer-reviewedMay 1, 2025

An enhancer-AAV toolbox to target and manipulate distinct interneuron subtypes

Elisabetta Furlanis, Min Dai, Brenda Leyva Garcia…·Yating Wang

The paper identifies enhancer-AAV tools for specific neuronal subtypes and validates them across species.

66 citationstop 1%

mousescRNA-seq

𝕏 PostBluesky