Author

A. Hatamizadeh

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:imaging· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:contrastive learning· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

D. Terzopoulos· 3 shared A. Myronenko· 2 shared A. Hoogi· 1 shared B. Wilcox· 1 shared D. Rubin· 1 shared D. Sengupta· 1 shared W. Lu· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 16 mutual co-author links

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3 shared papersBioengineering

D. Terzopoulos

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Author profile →

3 papers

Recent·Most cited

Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images

A. Hatamizadeh, D. Terzopoulos, A. Myronenko

The paper introduces Edge-Gated CNNs (EG-CNNs) to improve volumetric semantic segmentation in medical images by integrating edge and texture information, showing consistent accuracy improvements on two datasets.

bioRxiv · Mar 14, 2020 · PreprintBioengineering

Deep Active Lesion Segmentation

A. Hatamizadeh, A. Hoogi, D. Sengupta, W. Lu, B. Wilcox, D. Rubin, D. Terzopoulos

This paper introduces DALS, a lesion segmentation framework combining CNNs and ACMs, showing better performance on small datasets across brain, liver, and lung images.

bioRxiv · Oct 7, 2019 · PreprintBioengineering

End-to-End Boundary Aware Networks for Medical Image Segmentation

A. Hatamizadeh, D. Terzopoulos, A. Myronenko

This paper introduces boundary aware CNNs for medical image segmentation, achieving more accurate results on brain tumor segmentation using the BraTS 2018 dataset.

bioRxiv · Sep 19, 2019 · PreprintBioengineering