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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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