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 (CCECE, 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 (CVPR Workshops, 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 (ICPRAM, 2017)

Local radon descriptors for image search. - Morteza Babaie; Hamid R. Tizhoosh; Amin Khatami; Mohammad Ebrahim Shiri (IPTA, 2017)

Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks. - Brady Kieffer; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (IPTA, 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 (SSCI, 2017)

Deep Barcodes for Fast Retrieval of Histopathology Scans. - Meghana Dinesh Kumar; Morteza Babaie; Hamid R. Tizhoosh (IJCNN, 2018)

Facial Recognition with Encoded Local Projections. - Dhruv Sharma; Sarim Zafar; Morteza Babaie; Hamid R. Tizhoosh (SSCI, 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)

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 004; Saeid Nahavandi (Expert Syst. Appl., 2018)

Representing Medical Images With Encoded Local Projections. - Hamid R. Tizhoosh; Morteza Babaie (IEEE Trans. Biomed. Eng., 2018)

Deep Features for Tissue-Fold Detection in Histopathology Images. - Morteza Babaie; Hamid R. Tizhoosh (ECDP, 2019)

Patch Clustering for Representation of Histopathology Images. - Wafa Chenni; Habib Herbi; Morteza Babaie; Hamid R. Tizhoosh (ECDP, 2019)

Subtractive Perceptrons for Learning Images: A Preliminary Report. - Hamid R. Tizhoosh; Shivam Kalra; Shalev Lifshitz; Morteza Babaie (IPTA, 2019)

Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images. - Hamed Erfankhah; Mehran Yazdi; Morteza Babaie; Hamid R. Tizhoosh (IEEE Access, 2019)

A New Local Radon Descriptor for Content-Based Image Search. - Morteza Babaie; Hany Kashani; Meghana Dinesh Kumar; Hamid R. Tizhoosh (AIME, 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 (AIME, 2020)

Recognizing Magnification Levels in Microscopic Snapshots. - Manit Zaveri; Shivam Kalra; Morteza Babaie; Sultaan Shah; Savvas Damaskinos; Hany Kashani; Hamid R. Tizhoosh (EMBC, 2020)

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images. - Abtin Riasatian; Maral Rasoolijaberi; Morteza Babaie; Hamid R. Tizhoosh (IJCNN, 2020)

Ink Marker Segmentation in Histopathology Images Using Deep Learning. - Danial Maleki; Mehdi Afshari; Morteza Babaie; Hamid R. Tizhoosh (ISVC (1), 2020)

Class-Aware Image Search for Interpretable Cancer Identification. - Arash Ebrahimian; Hossein Mohammadi; Morteza Babaie; Nima Maftoon; Hamid R. Tizhoosh (IEEE Access, 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)

Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images. - Seyedeh Maryam Hosseini; Morteza Babaie; Hamid R. Tizhoosh (BIBE, 2021)

Analysis of Language Embeddings for Classification of Unstructured Pathology Reports. - Aishwarya Krishna Allada; Yuanxin Wang 001; Veni Jindal; Morteza Babaie; Hamid R. Tizhoosh; Mark Crowley 001 (EMBC, 2021)

Automatic Multi-Stain Registration of Whole Slide Images in Histopathology. - Abubakr Shafique; Morteza Babaie; Mahjabin Sajadi; Adrian Batten; Soma Skdar; Hamid R. Tizhoosh (EMBC, 2021)

A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. - Sobhan Hemati; Mohammad Hadi Mehdizavareh; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (ICIP, 2021)

CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. - Sobhan Hemati; Shivam Kalra; Cameron Meaney; Morteza Babaie; Ali Ghodsi 001; Hamid R. Tizhoosh (MIDL, 2021)

Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings. - Sobhan Shafiei; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (CoRR, 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; et al. (Medical Image Anal., 2021)

Quality Control of Whole Slide Images using the YOLO Concept. - Kimia Hemmatirad; Morteza Babaie; Mehdi Afshari; Danial Maleki; Mahjabin Saiadi; Hamid R. Tizhoosh (ICHI, 2022)

Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images. - Seyedeh Maryam Hosseini; Milad Sikaroudi; Morteza Babaie; Hamid R. Tizhoosh (DeCaF/FAIR@MICCAI, 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)

Class-imbalanced Unsupervised and Semi-Supervised Domain Adaptation for Histopathology Images. - Seyedeh Maryam Hosseini; Abubakr Shafique; Morteza Babaie; Hamid R. Tizhoosh (EMBC, 2023)

Composite Biomarker Image for Advanced Visualization in Histopathology. - Abubakr Shafique; Morteza Babaie; Ricardo Gonzalez; Adrian Batten; Soma Sikdar; Hamid R. Tizhoosh (EMBC, 2023)

Immunohistochemistry Biomarkers-Guided Image Search for Histopathology. - Abubakr Shafique; Morteza Babaie; Ricardo Gonzalez; Hamid R. Tizhoosh (EMBC, 2023)

Deep modality association learning using histopathology images and immune cell sequencing data. - Areej Alsaafin; Morteza Babaie; Hamid R. Tizhoosh (Digital and Computational Pathology, 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)

On Philomatics and Psychomatics for Combining Philosophy and Psychology with Mathematics. - Benyamin Ghojogh; Morteza Babaie (CoRR, 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)

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, 2023)