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Author

Morteza Babaie

Observed name: Babaie, Morteza
ORCID: 0000-0002-6916-5941
Observed ORCID: 0000-0002-6916-5941
OpenAlex ID: A5028824188
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides
2021 · Abtin Riasatian, Morteza Babaie, et al. · Medical Image Analysis · 226
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Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks
2017 · Brady Kieffer, Morteza Babaie, et al. · International Conference on Image Processing Theory, Tools and Applications (IPTA) · 163
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Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence
2020 · Shivam Kalra, H. R. Tizhoosh, et al. · npj Digital Medicine · 132
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A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval
2018 · Amin Khatami, Morteza Babaie, et al. · Expert Systems with Applications · 108
A comparative study of CNN, BoVW and LBP for classification of histopathological images
2017 · Meghana Dinesh Kumar, Morteza Babaie, et al. · IEEE Symposium Series on Computational Intelligence (SSCI) · 101
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Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images
2023 · S. Maryam Hosseini, Milad Sikaroudi, et al. · IEEE Transactions on Medical Imaging · 67
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Searching Images for Consensus
2021 · Hamid R. Tizhoosh, Phedias Diamandis, et al. · American Journal Of Pathology · 59
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Parallel deep solutions for image retrieval from imbalanced medical imaging archives
2017 · Amin Khatami, Morteza Babaie, et al. · Applied Soft Computing · 56
Classification and Retrieval of Digital Pathology Scans: A New Dataset
2017 · Morteza Babaie, Shivam Kalra, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 56
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Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images
2019 · Hamed Erfankhah, Mehran Yazdi, et al. · IEEE Access · 53
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A self-supervised contrastive learning approach for whole slide image representation in digital pathology
2022 · Parsa Ashrafi Fashi, Sobhan Hemati, et al. · Journal of Pathology Informatics · 40
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A deep-structural medical image classification for a Radon-based image retrieval
2017 · Amin Khatami, Morteza Babaie, et al. · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · 33
Representing Medical Images With Encoded Local Projections
2018 · Hamid R. Tizhoosh, Morteza Babaie · IEEE Transactions on Biomedical Engineering · 30
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Deep Features for Tissue-Fold Detection in Histopathology Images
2019 · Morteza Babaie, Hamid R. Tizhoosh · Lecture notes in computer science · 28
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Deep Barcodes for Fast Retrieval of Histopathology Scans
2018 · Meghana Dinesh Kumar, Morteza Babaie, et al. · International Joint Conference on Neural Networks (IJCNN) · 25
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Designing quality control system based on vision inspection in pharmaceutical product lines
2018 · Mahdi Bahaghighat, Mehdi Mirfattahi, et al. · International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) · 24
Automatic Multi-Stain Registration of Whole Slide Images in Histopathology
2021 · Abubakr Shafique, Morteza Babaie, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 21
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Selection, Visualization, and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma
2021 · Taher Dehkharghanian, Shahryar Rahnamayan, et al. · American Journal Of Pathology · 21
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Retrieving Similar X-ray Images from Big Image Data using Radon Barcodes with Single Projections
2017 · Morteza Babaie, H. R. Tizhoosh, et al. · International Conference on Pattern Recognition Applications and Methods · 21
Local radon descriptors for image search
2017 · Morteza Babaie, H.R. Tizhoosh, et al. · International Conference on Image Processing Theory, Tools and Applications (IPTA) · 19
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A Digital Pathology Solution to Resolve the Tissue Floater Conundrum
2020 · Liron Pantanowitz, Pamela Michelow, et al. · Archives of Pathology & Laboratory Medicine · 15
CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning
2021 · Sobhan Hemati, Shivam Kalra, et al. · Medical Imaging with Deep Learning · 12
Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search
2023 · Sobhan Hemati, Shivam Kalra, et al. · Computers in Biology and Medicine · 11
Class-Aware Image Search for Interpretable Cancer Identification
2020 · Arash Ebrahimian, Hossein Mohammadi, et al. · IEEE Access · 10
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Patch Clustering for Representation of Histopathology Images
2019 · Wafa Chenni, Habib Herbi, et al. · Lecture notes in computer science · 9
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Works count: 48
Citation count: 1,398
H-index: 19
I10-index: 24
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