Morteza Babaie

According to our database, Morteza Babaie authored at least 39 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search.

Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh

Comput. Biol. Medicine, August, 2023

Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images.

Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh

IEEE Trans. Medical Imaging, 2023

On Philomatics and Psychomatics for Combining Philosophy and Psychology with Mathematics.

Benyamin Ghojogh, Morteza Babaie

CoRR, 2023

An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO.

Kimia Hemmatirad, Morteza Babaie, Jeffrey Hodgin, Liron Pantanowitz, Hamid R. Tizhoosh

CoRR, 2023

Immunohistochemistry Biomarkers-Guided Image Search for Histopathology.

Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Hamid R. Tizhoosh

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Composite Biomarker Image for Advanced Visualization in Histopathology.

Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Adrian Batten, Soma Sikdar, Hamid R. Tizhoosh

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Class-imbalanced Unsupervised and Semi-Supervised Domain Adaptation for Histopathology Images.

Seyedeh Maryam Hosseini, Abubakr Shafique, Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Multi-Magnification Image Search in Digital Pathology.

Maral Rasoolijaberi, Morteza Babaie, Abtin Riasatian, Sobhan Hemati, Parsa Ashrafi, Ricardo Gonzalez, Hamid R. Tizhoosh

IEEE J. Biomed. Health Informatics, 2022

Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images.

Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Quality Control of Whole Slide Images using the YOLO Concept.

Kimia Hemmatirad, Morteza Babaie, Mehdi Afshari, Danial Maleki, Mahjabin Saiadi, Hamid R. Tizhoosh

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.

Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri, Amir Safarpoor, Sobhan Shafiei, Mehdi Afshari, Maral Rasoolijaberi, Milad Sikaroudi, Mohd Adnan, Sultaan Shah, Charles Choi, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Liron Pantanowitz, Hany Kashani, Ali Ghodsi, Hamid R. Tizhoosh

Medical Image Anal., 2021

Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings.

Sobhan Shafiei, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh

CoRR, 2021

CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning.

Sobhan Hemati, Shivam Kalra, Cameron Meaney, Morteza Babaie, Ali Ghodsi, Hamid R. Tizhoosh

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights.

Sobhan Hemati, Mohammad Hadi Mehdizavareh, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Automatic Multi-Stain Registration of Whole Slide Images in Histopathology.

Abubakr Shafique, Morteza Babaie, Mahjabin Sajadi, Adrian Batten, Soma Skdar, Hamid R. Tizhoosh

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Analysis of Language Embeddings for Classification of Unstructured Pathology Reports.

Aishwarya Krishna Allada, Yuanxin Wang, Veni Jindal, Morteza Babaie, Hamid R. Tizhoosh, Mark Crowley

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images.

Seyedeh Maryam Hosseini, Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020

Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence.

Shivam Kalra, Hamid R. Tizhoosh, Sultaan Shah, Charles Choi, Savvas Damaskinos, Amir Safarpoor, Sobhan Shafiei, Morteza Babaie, Phedias Diamandis, Clinton J. V. Campbell, Liron Pantanowitz

npj Digit. Medicine, 2020

Class-Aware Image Search for Interpretable Cancer Identification.

Arash Ebrahimian, Hossein Mohammadi, Morteza Babaie, Nima Maftoon, Hamid R. Tizhoosh

IEEE Access, 2020

Ink Marker Segmentation in Histopathology Images Using Deep Learning.

Danial Maleki, Mehdi Afshari, Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images.

Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Recognizing Magnification Levels in Microscopic Snapshots.

Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Forming Local Intersections of Projections for Classifying and Searching Histopathology Images.

Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh

Proceedings of the Artificial Intelligence in Medicine, 2020

A New Local Radon Descriptor for Content-Based Image Search.

Morteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images.

Hamed Erfankhah, Mehran Yazdi, Morteza Babaie, Hamid R. Tizhoosh

IEEE Access, 2019

Subtractive Perceptrons for Learning Images: A Preliminary Report.

Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie

Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Patch Clustering for Representation of Histopathology Images.

Wafa Chenni, Habib Herbi, Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the Digital Pathology - 15th European Congress, 2019

Deep Features for Tissue-Fold Detection in Histopathology Images.

Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the Digital Pathology - 15th European Congress, 2019

2018

Representing Medical Images With Encoded Local Projections.

Hamid R. Tizhoosh, Morteza Babaie

IEEE Trans. Biomed. Eng., 2018

A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval.

Amin Khatami, Morteza Babaie, Hamid R. Tizhoosh, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi

Expert Syst. Appl., 2018

Parallel deep solutions for image retrieval from imbalanced medical imaging archives.

Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Saeid Nahavandi

Appl. Soft Comput., 2018

Facial Recognition with Encoded Local Projections.

Dhruv Sharma, Sarim Zafar, Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Deep Barcodes for Fast Retrieval of Histopathology Scans.

Meghana Dinesh Kumar, Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

A comparative study of CNN, BoVW and LBP for classification of histopathological images.

Meghana Dinesh Kumar, Morteza Babaie, Shujin Zhu, Shivam Kalra, Hamid R. Tizhoosh

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks.

Brady Kieffer, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Local radon descriptors for image search.

Morteza Babaie, Hamid R. Tizhoosh, Amin Khatami, Mohammad Ebrahim Shiri

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Retrieving Similar X-ray Images from Big Image Data using Radon Barcodes with Single Projections.

Morteza Babaie, Hamid R. Tizhoosh, Shujin Zhu, Mohammad Ebrahim Shiri

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Classification and Retrieval of Digital Pathology Scans: A New Dataset.

Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

A deep-structural medical image classification for a Radon-based image retrieval.

Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Syed Moshfeq Salaken, Saeid Nahavandi

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017