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BMC Medical Imaging
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October 19, 2023
Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning
Naga Raju Gudhe, Veli-Matti Kosma, Hamid Behravan, et al.
Data in Brief
|
February 17, 2025
A dataset of mammography images with area-based breast density values, breast area, and dense tissue segmentation masks
Hamid Behravan, Naga Raju Gudhe, Hidemi Okuma, et al.
Scientific Reports
|
July 14, 2022
Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning
Naga Raju Gudhe, Hamid Behravan, Mazen Sudah, et al.
Scientific Reports
|
July 9, 2021
Multi-level dilated residual network for biomedical image segmentation
Naga Raju Gudhe, Hamid Behravan, Mazen Sudah, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
October 2, 2025
GenoGraph: An Interpretable Graph Contrastive Learning Approach for Identifying Breast Cancer Risk Variants
Naga Raju Gudhe, Jaana M Hartikainen, Maria Tengstrom, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
BMC Medical Imaging
|
October 19, 2023
Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning
Naga Raju Gudhe, Veli-Matti Kosma, Hamid Behravan, et al.
Data in Brief
|
February 17, 2025
A dataset of mammography images with area-based breast density values, breast area, and dense tissue segmentation masks
Hamid Behravan, Naga Raju Gudhe, Hidemi Okuma, et al.
Scientific Reports
|
July 14, 2022
Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning
Naga Raju Gudhe, Hamid Behravan, Mazen Sudah, et al.
Scientific Reports
|
July 9, 2021
Multi-level dilated residual network for biomedical image segmentation
Naga Raju Gudhe, Hamid Behravan, Mazen Sudah, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
October 2, 2025
GenoGraph: An Interpretable Graph Contrastive Learning Approach for Identifying Breast Cancer Risk Variants
Naga Raju Gudhe, Jaana M Hartikainen, Maria Tengstrom, et al.
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of 1