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Morteza Babaie
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2020 – today
- 2023
- [j10]Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh:
Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search. Comput. Biol. Medicine 162: 107026 (2023) - [j9]Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie
, Hamid R. Tizhoosh
:
Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images. IEEE Trans. Medical Imaging 42(7): 1982-1995 (2023) - [c26]Seyedeh Maryam Hosseini, Abubakr Shafique, Morteza Babaie, Hamid R. Tizhoosh:
Class-imbalanced Unsupervised and Semi-Supervised Domain Adaptation for Histopathology Images. EMBC 2023: 1-7 - [c25]Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Adrian Batten, Soma Sikdar, Hamid R. Tizhoosh:
Composite Biomarker Image for Advanced Visualization in Histopathology. EMBC 2023: 1-4 - [c24]Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Hamid R. Tizhoosh:
Immunohistochemistry Biomarkers-Guided Image Search for Histopathology. EMBC 2023: 1-5 - [i24]Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez
, Adrian Batten, Soma Sikdar, Hamid R. Tizhoosh:
Composite Biomarker Image for Advanced Visualization in Histopathology. CoRR abs/2304.12423 (2023) - [i23]Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez
, Hamid R. Tizhoosh:
Immunohistochemistry Biomarkers-Guided Image Search for Histopathology. CoRR abs/2304.12424 (2023) - [i22]Kimia Hemmatirad, Morteza Babaie, Jeffrey Hodgin, Liron Pantanowitz, Hamid R. Tizhoosh:
An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO. CoRR abs/2307.13199 (2023) - [i21]Benyamin Ghojogh, Morteza Babaie:
On Philomatics and Psychomatics for Combining Philosophy and Psychology with Mathematics. CoRR abs/2308.13738 (2023) - 2022
- [j8]Maral Rasoolijaberi, Morteza Babaie
, Abtin Riasatian, Sobhan Hemati, Parsa Ashrafi, Ricardo Gonzalez
, Hamid R. Tizhoosh
:
Multi-Magnification Image Search in Digital Pathology. IEEE J. Biomed. Health Informatics 26(9): 4611-4622 (2022) - [c23]Kimia Hemmatirad, Morteza Babaie, Mehdi Afshari, Danial Maleki, Mahjabin Saiadi, Hamid R. Tizhoosh:
Quality Control of Whole Slide Images using the YOLO Concept. ICHI 2022: 282-287 - [c22]Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh:
Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images. DeCaF/FAIR@MICCAI 2022: 110-118 - [i20]Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh:
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images. CoRR abs/2208.10919 (2022) - [i19]Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh:
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search. CoRR abs/2208.13653 (2022) - 2021
- [j7]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:
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Medical Image Anal. 70: 102032 (2021) - [c21]Seyedeh Maryam Hosseini, Morteza Babaie, Hamid R. Tizhoosh:
Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images. BIBE 2021: 1-5 - [c20]Aishwarya Krishna Allada, Yuanxin Wang
, Veni Jindal, Morteza Babaie, Hamid R. Tizhoosh, Mark Crowley:
Analysis of Language Embeddings for Classification of Unstructured Pathology Reports. EMBC 2021: 2378-2381 - [c19]Abubakr Shafique, Morteza Babaie, Mahjabin Sajadi, Adrian Batten, Soma Skdar, Hamid R. Tizhoosh:
Automatic Multi-Stain Registration of Whole Slide Images in Histopathology. EMBC 2021: 3622-3625 - [c18]Sobhan Hemati, Mohammad Hadi Mehdizavareh, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. ICIP 2021: 2748-2752 - [c17]Sobhan Hemati, Shivam Kalra, Cameron Meaney, Morteza Babaie, Ali Ghodsi, Hamid R. Tizhoosh:
CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. MIDL 2021: 301-311 - [i18]Sobhan Shafiei
, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings. CoRR abs/2102.07611 (2021) - [i17]Abubakr Shafique, Morteza Babaie, Mahjabin Sajadi, Adrian Batten, Soma Skdar, Hamid R. Tizhoosh:
Automatic Multi-Stain Registration of Whole Slide Images in Histopathology. CoRR abs/2107.14292 (2021) - 2020
- [j6]Arash Ebrahimian
, Hossein Mohammadi
, Morteza Babaie
, Nima Maftoon
, Hamid R. Tizhoosh
:
Class-Aware Image Search for Interpretable Cancer Identification. IEEE Access 8: 197352-197362 (2020) - [j5]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:
Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence. npj Digit. Medicine 3 (2020) - [c16]Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh:
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. AIME 2020: 227-237 - [c15]Morteza Babaie
, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh
:
A New Local Radon Descriptor for Content-Based Image Search. AIME 2020: 463-472 - [c14]Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh:
Recognizing Magnification Levels in Microscopic Snapshots. EMBC 2020: 1416-1419 - [c13]Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaie, Hamid R. Tizhoosh:
A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images. IJCNN 2020: 1-8 - [c12]Danial Maleki, Mehdi Afshari, Morteza Babaie
, Hamid R. Tizhoosh
:
Ink Marker Segmentation in Histopathology Images Using Deep Learning. ISVC (1) 2020: 359-368 - [i16]Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh:
Recognizing Magnification Levels in Microscopic Snapshots. CoRR abs/2005.03748 (2020) - [i15]Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaie, Hamid R. Tizhoosh:
A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images. CoRR abs/2006.06531 (2020) - [i14]Morteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh:
A new Local Radon Descriptor for Content-Based Image Search. CoRR abs/2007.15523 (2020) - [i13]Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh:
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. CoRR abs/2008.03553 (2020) - [i12]Danial Maleki, Mehdi Afshari, Morteza Babaie, Hamid R. Tizhoosh:
Ink Marker Segmentation in Histopathology Images Using Deep Learning. CoRR abs/2010.15865 (2020)
2010 – 2019
- 2019
- [j4]Hamed Erfankhah, Mehran Yazdi
, Morteza Babaie
, Hamid R. Tizhoosh:
Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images. IEEE Access 7: 18354-18367 (2019) - [c11]Wafa Chenni, Habib Herbi, Morteza Babaie
, Hamid R. Tizhoosh:
Patch Clustering for Representation of Histopathology Images. ECDP 2019: 28-37 - [c10]Morteza Babaie
, Hamid R. Tizhoosh:
Deep Features for Tissue-Fold Detection in Histopathology Images. ECDP 2019: 125-132 - [c9]Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie
:
Subtractive Perceptrons for Learning Images: A Preliminary Report. IPTA 2019: 1-6 - [i11]Morteza Babaie, Hamid R. Tizhoosh:
Deep Features for Tissue-Fold Detection in Histopathology Images. CoRR abs/1903.07011 (2019) - [i10]Wafa Chenni, Habib Herbi, Morteza Babaie, Hamid R. Tizhoosh:
Patch Clustering for Representation of Histopathology Images. CoRR abs/1903.07013 (2019) - [i9]Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie:
Subtractive Perceptrons for Learning Images: A Preliminary Report. CoRR abs/1909.12933 (2019) - [i8]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:
Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence. CoRR abs/1911.08736 (2019) - 2018
- [j3]Amin Khatami
, Morteza Babaie
, Abbas Khosravi, Hamid R. Tizhoosh, Saeid Nahavandi:
Parallel deep solutions for image retrieval from imbalanced medical imaging archives. Appl. Soft Comput. 63: 197-205 (2018) - [j2]Amin Khatami
, Morteza Babaie
, Hamid R. Tizhoosh, Abbas Khosravi
, Thanh Nguyen
, Saeid Nahavandi:
A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval. Expert Syst. Appl. 100: 224-233 (2018) - [j1]Hamid R. Tizhoosh
, Morteza Babaie
:
Representing Medical Images With Encoded Local Projections. IEEE Trans. Biomed. Eng. 65(10): 2267-2277 (2018) - [c8]Meghana Dinesh Kumar, Morteza Babaie
, Hamid R. Tizhoosh:
Deep Barcodes for Fast Retrieval of Histopathology Scans. IJCNN 2018: 1-8 - [c7]Dhruv Sharma, Sarim Zafar, Morteza Babaie
, Hamid R. Tizhoosh:
Facial Recognition with Encoded Local Projections. SSCI 2018: 1261-1268 - [i7]Meghana Dinesh Kumar, Morteza Babaie, Hamid R. Tizhoosh:
Deep Barcodes for Fast Retrieval of Histopathology Scans. CoRR abs/1805.08833 (2018) - [i6]Dhruv Sharma, Sarim Zafar, Morteza Babaie, Hamid R. Tizhoosh:
Facial Recognition with Encoded Local Projections. CoRR abs/1809.06218 (2018) - 2017
- [c6]Amin Khatami, Morteza Babaie
, Abbas Khosravi, Hamid R. Tizhoosh, Syed Moshfeq Salaken
, Saeid Nahavandi:
A deep-structural medical image classification for a Radon-based image retrieval. CCECE 2017: 1-4 - [c5]Morteza Babaie
, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classification and Retrieval of Digital Pathology Scans: A New Dataset. CVPR Workshops 2017: 760-768 - [c4]Morteza Babaie, Hamid R. Tizhoosh, Shujin Zhu, Mohammad Ebrahim Shiri:
Retrieving Similar X-ray Images from Big Image Data using Radon Barcodes with Single Projections. ICPRAM 2017: 557-566 - [c3]Morteza Babaie
, Hamid R. Tizhoosh, Amin Khatami, Mohammad Ebrahim Shiri:
Local radon descriptors for image search. IPTA 2017: 1-5 - [c2]Brady Kieffer, Morteza Babaie
, Shivam Kalra, Hamid R. Tizhoosh:
Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks. IPTA 2017: 1-6 - [c1]Meghana Dinesh Kumar, Morteza Babaie
, Shujin Zhu, Shivam Kalra, Hamid R. Tizhoosh:
A comparative study of CNN, BoVW and LBP for classification of histopathological images. SSCI 2017: 1-7 - [i5]Morteza Babaie, Hamid R. Tizhoosh, Shujin Zhu, Mohammad Ebrahim Shiri:
Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections. CoRR abs/1701.00449 (2017) - [i4]Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classification and Retrieval of Digital Pathology Scans: A New Dataset. CoRR abs/1705.07522 (2017) - [i3]Meghana Dinesh Kumar, Morteza Babaie, Shujin Zhu, Shivam Kalra, Hamid R. Tizhoosh:
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images. CoRR abs/1710.01249 (2017) - [i2]Morteza Babaie, Hamid R. Tizhoosh, Amin Khatami, Mohammad Ebrahim Shiri:
Local Radon Descriptors for Image Search. CoRR abs/1710.04097 (2017) - [i1]Brady Kieffer, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks. CoRR abs/1710.05726 (2017)
Coauthor Index
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