Hamid R. Tizhoosh

295 papers A* 1B 52C 7Misc 1Journal 147Unranked 75

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology. CoRR Sobhan Hemati, Ghazal Alabtah, Saghir Alfasly, Hamid R. Tizhoosh
2025	J	`jnl`	Overfitting in Histopathology Model Training: The Need for Customized Architectures. CoRR Saghir Alfasly, Ghazal Alabtah, Hamid R. Tizhoosh
2025	J	`jnl`	Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology. CoRR Saghir Alfasly, Wataru Uegami, MD Enamul Hoq, Ghazal Alabtah, Hamid R. Tizhoosh
2025	J	`jnl`	Why Foundation Models in Pathology Are Failing. CoRR Hamid R. Tizhoosh
2024	J	`jnl`	A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology. CoRR Sobhan Hemati, Krishna R. Kalari, Hamid R. Tizhoosh
2024	J	`jnl`	Analysis and Validation of Image Search Engines in Histopathology. CoRR Isaiah Lahr, Saghir Alfasly, Peyman Nejat, Jibran A. Khan, Luke Kottom, Vaishnavi Kumbhar, Areej Alsaafin, Abubakr Shafique, Sobhan Hemati, Ghazal Alabtah, Nneka I. Comfere, Dennis Murphree, Aaron Mangold, Saba Yasir, Chady Meroueh, Lisa Boardman, Vijay H. Shah, Joaquin J. Garcia, Hamid R. Tizhoosh
2024	J	`jnl`	Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images. Comput. Oper. Res. Davood Zaman Farsa, Shahryar Rahnamayan, Azam Asilian Bidgoli, Hamid R. Tizhoosh
2024	J	`jnl`	Foundation Models and Information Retrieval in Digital Pathology. CoRR Hamid R. Tizhoosh
2024	J	`jnl`	On Image Search in Histopathology. CoRR Hamid R. Tizhoosh, Liron Pantanowitz
2024	J	`jnl`	On Validation of Search & Retrieval of Tissue Images in Digital Pathology. CoRR Hamid R. Tizhoosh
2024	J	`jnl`	Personalized 2D Binary Patient Codes of Tissue Images and Immunogenomic Data Through Multimodal Self-Supervised Fusion. CoRR Areej Alsaafin, Abubakr Shafique, Saghir Alfasly, Hamid R. Tizhoosh
2024	A*	`conf`	Rotation-Agnostic Image Representation Learning for Digital Pathology. CVPR Saghir Alfasly, Abubakr Shafique, Peyman Nejat, Jibran A. Khan, Areej Alsaafin, Ghazal Alabtah, Hamid R. Tizhoosh
2024	J	`jnl`	SPLICE - Streamlining Digital Pathology Image Processing. CoRR Areej Alsaafin, Peyman Nejat, Abubakr Shafique, Jibran A. Khan, Saghir Alfasly, Ghazal Alabtah, Hamid R. Tizhoosh
2024	J	`jnl`	Training Artificial Neural Networks by Coordinate Search Algorithm. CoRR Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab, Azam Asilian Bidgoli, Hamid R. Tizhoosh
2024	J	`jnl`	Zero-Shot Whole Slide Image Retrieval in Histopathology Using Embeddings of Foundation Models. CoRR Saghir Alfasly, Ghazal Alabtah, Sobhan Hemati, Krishna Rani Kalari, Hamid R. Tizhoosh
2023	J	`jnl`	A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks. CoRR Abubakr Shafique, Ricardo Gonzalez, Liron Pantanowitz, Puay Hoon Tan, Alberto Machado, Ian A. Cree, Hamid R. Tizhoosh
2023	—	`conf`	ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. ICCV (Workshops) Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh
2023	J	`jnl`	ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. CoRR Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh
2023	J	`jnl`	An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO. CoRR Kimia Hemmatirad, Morteza Babaie, Jeffrey Hodgin, Liron Pantanowitz, Hamid R. Tizhoosh
2023	—	`conf`	Class-imbalanced Unsupervised and Semi-Supervised Domain Adaptation for Histopathology Images. EMBC Seyedeh Maryam Hosseini, Abubakr Shafique, Morteza Babaie, Hamid R. Tizhoosh
2023	J	`jnl`	Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'. CoRR Milad Sikaroudi, Mehdi Afshari, Abubakr Shafique, Shivam Kalra, Hamid R. Tizhoosh
2023	—	`conf`	Composite Biomarker Image for Advanced Visualization in Histopathology. EMBC Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Adrian Batten, Soma Sikdar, Hamid R. Tizhoosh
2023	J	`jnl`	Composite Biomarker Image for Advanced Visualization in Histopathology. CoRR Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Adrian Batten, Soma Sikdar, Hamid R. Tizhoosh
2023	J	`jnl`	Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection. CoRR Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, Nneka I. Comfere, Aaron Mangold, Dennis Murphree, Patricija Zot, Saba Yasir, Joaquin J. Garcia, Hamid R. Tizhoosh
2023	—	`conf`	Deep modality association learning using histopathology images and immune cell sequencing data. Digital and Computational Pathology Areej Alsaafin, Morteza Babaie, Hamid R. Tizhoosh
2023	J	`jnl`	Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. CoRR Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh
2023	J	`jnl`	Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. IEEE Trans. Evol. Comput. Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh
2023	—	`conf`	Immunohistochemistry Biomarkers-Guided Image Search for Histopathology. EMBC Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Hamid R. Tizhoosh
2023	J	`jnl`	Immunohistochemistry Biomarkers-Guided Image Search for Histopathology. CoRR Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Hamid R. Tizhoosh
2023	J	`jnl`	Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search. Comput. Biol. Medicine Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh
2023	J	`jnl`	Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images. IEEE Trans. Medical Imaging Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh
2023	J	`jnl`	Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology. CoRR Pooria Mazaheri, Azam Asilian Bidgoli, Shahryar Rahnamayan, Hamid R. Tizhoosh
2023	J	`jnl`	Ranking loss and sequestering learning for reducing image search bias in histopathology. Appl. Soft Comput. Pooria Mazaheri, Azam Asilian Bidgoli, Shahryar Rahnamayan, Hamid R. Tizhoosh
2023	J	`jnl`	Rotation-Agnostic Image Representation Learning for Digital Pathology. CoRR Saghir Alfasly, Abubakr Shafique, Peyman Nejat, Jibran A. Khan, Areej Alsaafin, Ghazal Alabtah, Hamid R. Tizhoosh
2023	J	`jnl`	Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images. CoRR Abubakr Shafique, Saghir Alfasly, Areej Alsaafin, Peyman Nejat, Jibran A. Khan, Hamid R. Tizhoosh
2023	—	`conf`	Training Artificial Neural Networks by Coordinate Search Algorithm. SSCI Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab, Azam Asilian Bidgoli, Hamid R. Tizhoosh
2023	J	`jnl`	When is a Foundation Model a Foundation Model. CoRR Saghir Alfasly, Peyman Nejat, Sobhan Hemati, Jibran A. Khan, Isaiah Lahr, Areej Alsaafin, Abubakr Shafique, Nneka I. Comfere, Dennis Murphree, Chady Meroueh, Saba Yasir, Aaron Mangold, Lisa Boardman, Vijay H. Shah, Joaquin J. Garcia, Hamid R. Tizhoosh
2023	J	`jnl`	Whole slide image representation in bone marrow cytology. Comput. Biol. Medicine Youqing Mu, Hamid R. Tizhoosh, Taher Dehkharghanian, Clinton J. V. Campbell
2022	J	`jnl`	A non-alternating graph hashing algorithm for large-scale image search. Comput. Vis. Image Underst. Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shoja'eddin Chenouri, Hamid R. Tizhoosh
2022	J	`jnl`	Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing. Pattern Recognit. Lett. Sobhan Hemati, Hamid R. Tizhoosh
2022	J	`jnl`	Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images. CoRR Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh
2022	—	`conf`	Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images. DeCaF/FAIR@MICCAI Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh
2022	J	`jnl`	Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. Artif. Intell. Medicine Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Shivam Kalra, Manit Zaveri, Clinton J. V. Campbell, Anil Parwani, Liron Pantanowitz, Hamid R. Tizhoosh
2022	—	`conf`	Hospital-Agnostic Image Representation Learning in Digital Pathology. EMBC Milad Sikaroudi, Shahryar Rahnamayan, Hamid R. Tizhoosh
2022	J	`jnl`	Hospital-Agnostic Image Representation Learning in Digital Pathology. CoRR Milad Sikaroudi, Shahryar Rahnamayan, Hamid R. Tizhoosh
2022	—	`conf`	LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives. MIDL Danial Maleki, Hamid R. Tizhoosh
2022	J	`jnl`	LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives. CoRR Danial Maleki, Hamid R. Tizhoosh
2022	J	`jnl`	Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search. CoRR Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh
2022	J	`jnl`	Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification. CoRR Amir Safarpoor, Jason D. Hipp, Hamid R. Tizhoosh
2022	J	`jnl`	Monitoring Shortcut Learning using Mutual Information. CoRR Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Angus Galloway, Hamid R. Tizhoosh, Graham W. Taylor
2022	J	`jnl`	Multi-Magnification Image Search in Digital Pathology. IEEE J. Biomed. Health Informatics Maral Rasoolijaberi, Morteza Babaie, Abtin Riasatian, Sobhan Hemati, Parsa Ashrafi, Ricardo Gonzalez, Hamid R. Tizhoosh
2022	—	`conf`	Quality Control of Whole Slide Images using the YOLO Concept. ICHI Kimia Hemmatirad, Morteza Babaie, Mehdi Afshari, Danial Maleki, Mahjabin Saiadi, Hamid R. Tizhoosh
2021	—	`conf`	A Similarity Measure of Histopathology Images by Deep Embeddings. EMBC Mehdi Afshari, Hamid R. Tizhoosh
2021	J	`jnl`	A Similarity Measure of Histopathology Images by Deep Embeddings. CoRR Mehdi Afshari, Hamid R. Tizhoosh
2021	B	`conf`	A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. ICIP Sobhan Hemati, Mohammad Hadi Mehdizavareh, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh
2021	—	`conf`	Analysis of Language Embeddings for Classification of Unstructured Pathology Reports. EMBC Aishwarya Krishna Allada, Yuanxin Wang, Veni Jindal, Morteza Babaie, Hamid R. Tizhoosh, Mark Crowley
2021	—	`conf`	Automatic Multi-Stain Registration of Whole Slide Images in Histopathology. EMBC Abubakr Shafique, Morteza Babaie, Mahjabin Sajadi, Adrian Batten, Soma Skdar, Hamid R. Tizhoosh
2021	J	`jnl`	Automatic Multi-Stain Registration of Whole Slide Images in Histopathology. CoRR Abubakr Shafique, Morteza Babaie, Mahjabin Sajadi, Adrian Batten, Soma Skdar, Hamid R. Tizhoosh
2021	J	`jnl`	Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing. CoRR Sobhan Hemati, Hamid R. Tizhoosh
2021	—	`conf`	CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. MIDL Sobhan Hemati, Shivam Kalra, Cameron Meaney, Morteza Babaie, Ali Ghodsi, Hamid R. Tizhoosh
2021	J	`jnl`	Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings. CoRR Sobhan Shafiei, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh
2021	J	`jnl`	Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Medical Image Anal. 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
2021	J	`jnl`	Gram Barcodes for Histopathology Tissue Texture Retrieval. CoRR Shalev Lifshitz, Abtin Riasatian, Hamid R. Tizhoosh
2021	J	`jnl`	Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology. CoRR Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton J. V. Campbell
2021	C	`conf`	Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images. BIBE Seyedeh Maryam Hosseini, Morteza Babaie, Hamid R. Tizhoosh
2021	—	`conf`	Magnification Generalization For Histopathology Image Embedding. ISBI Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2021	J	`jnl`	Magnification Generalization for Histopathology Image Embedding. CoRR Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2021	—	`conf`	Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. MICCAI (8) Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh
2021	J	`jnl`	Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. CoRR Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh
2021	J	`jnl`	ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. CoRR Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh
2021	J	`jnl`	Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features. CoRR Antonio Sze-To, Abtin Riasatian, Hamid R. Tizhoosh
2021	—	`conf`	Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks. EMBC Nitish Bhatt, David Ramon Prados, Nedim Hodzic, Christos Karanassios, Hamid R. Tizhoosh
2021	J	`jnl`	Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks. CoRR Nitish Bhatt, David Ramon Prados, Nedim Hodzic, Christos Karanassios, Hamid R. Tizhoosh
2020	B	`conf`	A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images. IJCNN Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaie, Hamid R. Tizhoosh
2020	J	`jnl`	A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images. CoRR Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaie, Hamid R. Tizhoosh
2020	B	`conf`	A New Local Radon Descriptor for Content-Based Image Search. AIME Morteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh
2020	J	`jnl`	A new Local Radon Descriptor for Content-Based Image Search. CoRR Morteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh
2020	J	`jnl`	A non-alternating graph hashing algorithm for large scale image search. CoRR Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shoja'eddin Chenouri, Hamid R. Tizhoosh
2020	B	`conf`	Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. ICPR Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. CoRR Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model. IEEE Trans. Medical Imaging Sobhan Shafiei, Amir Safarpoor, Ahad Jamalizadeh, Hamid R. Tizhoosh
2020	J	`jnl`	Class-Aware Image Search for Interpretable Cancer Identification. IEEE Access Arash Ebrahimian, Hossein Mohammadi, Morteza Babaie, Nima Maftoon, Hamid R. Tizhoosh
2020	—	`conf`	Classifying Pneumonia among Chest X-Rays Using Transfer Learning. EMBC Abdullah Irfan, Akash L. Adivishnu, Antonio Sze-To, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh
2020	—	`conf`	Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset. EMBC Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh
2020	B	`conf`	Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. IJCNN Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. CoRR Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
2020	B	`conf`	Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. AIME Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh
2020	J	`jnl`	Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. CoRR Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh
2020	—	`conf`	Ink Marker Segmentation in Histopathology Images Using Deep Learning. ISVC (1) Danial Maleki, Mehdi Afshari, Morteza Babaie, Hamid R. Tizhoosh
2020	J	`jnl`	Ink Marker Segmentation in Histopathology Images Using Deep Learning. CoRR Danial Maleki, Mehdi Afshari, Morteza Babaie, Hamid R. Tizhoosh
2020	B	`conf`	Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images. ICTAI Manit Zaveri, Sobhan Hemati, Sultaan Shah, Savvas Damaskinos, Hamid R. Tizhoosh
2020	—	`conf`	Learning Permutation Invariant Representations Using Memory Networks. ECCV (29) Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh
2020	—	`conf`	Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. ISVC (1) Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. CoRR Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence. npj Digit. Medicine 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
2020	—	`conf`	Recognizing Magnification Levels in Microscopic Snapshots. EMBC Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh
2020	J	`jnl`	Recognizing Magnification Levels in Microscopic Snapshots. CoRR Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh
2020	—	`conf`	Representation Learning of Histopathology Images using Graph Neural Networks. CVPR Workshops Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh
2020	J	`jnl`	Representation Learning of Histopathology Images using Graph Neural Networks. CoRR Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh
2020	B	`conf`	Searching for Pneumothorax in Half a Million Chest X-Ray Images. AIME Antonio Sze-To, Hamid R. Tizhoosh
2020	J	`jnl`	Searching for Pneumothorax in Half a Million Chest X-Ray Images. CoRR Antonio Sze-To, Hamid R. Tizhoosh
2020	—	`conf`	Studying the Effect of Digital Stain Separation of Histopathology Images on Image Search Performance. ICIAR (2) Alison K. Cheeseman, Hamid R. Tizhoosh, Edward R. Vrscay
2020	—	`conf`	Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. EMBC Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. CoRR Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh
2020	—	`conf`	Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. ICIAR (2) Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. CoRR Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
2019	—	`conf`	A Compact Representation of Histopathology Images Using Digital Stain Separation and Frequency-Based Encoded Local Projections. ICIAR (2) Alison K. Cheeseman, Hamid R. Tizhoosh, Edward R. Vrscay
2019	J	`jnl`	A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections. CoRR Alison K. Cheeseman, Hamid R. Tizhoosh, Edward R. Vrscay
2019	—	`conf`	Atrial Fibrillation Detection Using Deep Features and Convolutional Networks. BHI Sara Ross-Howe, Hamid R. Tizhoosh
2019	J	`jnl`	Atrial Fibrillation Detection Using Deep Features and Convolutional Networks. CoRR Sara Ross-Howe, Hamid R. Tizhoosh
2019	J	`jnl`	Automatic Classification of Pathology Reports using TF-IDF Features. CoRR Shivam Kalra, Larry Li, Hamid R. Tizhoosh
2019	—	`conf`	Deep Features for Tissue-Fold Detection in Histopathology Images. ECDP Morteza Babaie, Hamid R. Tizhoosh
2019	J	`jnl`	Deep Features for Tissue-Fold Detection in Histopathology Images. CoRR Morteza Babaie, Hamid R. Tizhoosh
2019	J	`jnl`	Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images. IEEE Access Hamed Erfankhah, Mehran Yazdi, Morteza Babaie, Hamid R. Tizhoosh
2019	J	`jnl`	Learning Permutation Invariant Representations using Memory Networks. CoRR Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh
2019	J	`jnl`	Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence. CoRR 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
2019	—	`conf`	Patch Clustering for Representation of Histopathology Images. ECDP Wafa Chenni, Habib Herbi, Morteza Babaie, Hamid R. Tizhoosh
2019	J	`jnl`	Patch Clustering for Representation of Histopathology Images. CoRR Wafa Chenni, Habib Herbi, Morteza Babaie, Hamid R. Tizhoosh
2019	B	`conf`	Projectron - A Shallow and Interpretable Network for Classifying Medical Images. IJCNN Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh
2019	J	`jnl`	Projectron - A Shallow and Interpretable Network for Classifying Medical Images. CoRR Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh
2019	—	`conf`	Subtractive Perceptrons for Learning Images: A Preliminary Report. IPTA Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie
2019	J	`jnl`	Subtractive Perceptrons for Learning Images: A Preliminary Report. CoRR Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie
2019	J	`jnl`	Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. CoRR Shivam Kalra, Charles Choi, Sultaan Shah, Liron Pantanowitz, Hamid R. Tizhoosh
2018	—	`conf`	A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. SSCI Aravind Ravi, Harshwin Venugopal, Sruthy Paul, Hamid R. Tizhoosh
2018	J	`jnl`	A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. CoRR Aravind Ravi, Harshwin Venugopal, Sruthy Paul, Hamid R. Tizhoosh
2018	J	`jnl`	A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval. Expert Syst. Appl. Amin Khatami, Morteza Babaie, Hamid R. Tizhoosh, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi
2018	J	`jnl`	Auto-Detection of Safety Issues in Baby Products. CoRR Graham Bleaney, Matthew Kuzyk, Julian Man, Hossein Mayanloo, Hamid R. Tizhoosh
2018	C	`conf`	Auto-detection of Safety Issues in Baby Products. IEA/AIE Graham Bleaney, Matthew Kuzyk, Julian Man, Hossein Mayanloo, Hamid R. Tizhoosh
2018	—	`conf`	CenDE: Centroid-Based Differential Evolution. CCECE Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
2018	B	`conf`	Comparing LBP, HOG and Deep Features for Classification of Histopathology Images. IJCNN Taha J. Alhindi, Shivam Kalra, Ka Hin Ng, Anika Afrin, Hamid R. Tizhoosh
2018	B	`conf`	Deep Barcodes for Fast Retrieval of Histopathology Scans. IJCNN Meghana Dinesh Kumar, Morteza Babaie, Hamid R. Tizhoosh
2018	J	`jnl`	Deep Barcodes for Fast Retrieval of Histopathology Scans. CoRR Meghana Dinesh Kumar, Morteza Babaie, Hamid R. Tizhoosh
2018	—	`conf`	Facial Recognition with Encoded Local Projections. SSCI Dhruv Sharma, Sarim Zafar, Morteza Babaie, Hamid R. Tizhoosh
2018	J	`jnl`	Facial Recognition with Encoded Local Projections. CoRR Dhruv Sharma, Sarim Zafar, Morteza Babaie, Hamid R. Tizhoosh
2018	J	`jnl`	Multiple disjoint dictionaries for representation of histopathology images. J. Vis. Commun. Image Represent. Shujin Zhu, Yuehua Li, Shivam Kalra, Hamid R. Tizhoosh
2018	J	`jnl`	Parallel deep solutions for image retrieval from imbalanced medical imaging archives. Appl. Soft Comput. Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Saeid Nahavandi
2018	J	`jnl`	Representing Medical Images With Encoded Local Projections. IEEE Trans. Biomed. Eng. Hamid R. Tizhoosh, Morteza Babaie
2018	B	`conf`	The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation. IJCNN Sara Ross-Howe, Hamid R. Tizhoosh
2018	J	`jnl`	The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation. CoRR Sara Ross-Howe, Hamid R. Tizhoosh
2017	J	`jnl`	A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images. CoRR Meghana Dinesh Kumar, Morteza Babaie, Shujin Zhu, Shivam Kalra, Hamid R. Tizhoosh
2017	—	`conf`	A comparative study of CNN, BoVW and LBP for classification of histopathological images. SSCI Meghana Dinesh Kumar, Morteza Babaie, Shujin Zhu, Shivam Kalra, Hamid R. Tizhoosh
2017	—	`conf`	A deep-structural medical image classification for a Radon-based image retrieval. CCECE Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Syed Moshfeq Salaken, Saeid Nahavandi
2017	—	`conf`	Classification and Retrieval of Digital Pathology Scans: A New Dataset. CVPR Workshops Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh
2017	J	`jnl`	Classification and Retrieval of Digital Pathology Scans: A New Dataset. CoRR Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh
2017	J	`jnl`	Combining Real-Valued and Binary Gabor-Radon Features for Classification and Search in Medical Imaging Archives. CoRR Hamed Erfankhah, Mehran Yazdi, Hamid R. Tizhoosh
2017	—	`conf`	Combining real-valued and binary Gabor-Radon features for classification and search in medical imaging archives. SSCI Hamed Erfankhah, Mehran Yazdi, Hamid R. Tizhoosh
2017	J	`jnl`	Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks. CoRR Brady Kieffer, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh
2017	—	`conf`	Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks. IPTA Brady Kieffer, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh
2017	J	`jnl`	Fast Barcode Retrieval for Consensus Contouring. CoRR Hamid R. Tizhoosh, Gregory J. Czarnota
2017	J	`jnl`	Learning Autoencoded Radon Projections. CoRR Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh, Shahryar Rahnamayan
2017	—	`conf`	Learning autoencoded radon projections. SSCI Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh, Shahryar Rahnamayan
2017	J	`jnl`	Local Radon Descriptors for Image Search. CoRR Morteza Babaie, Hamid R. Tizhoosh, Amin Khatami, Mohammad Ebrahim Shiri
2017	—	`conf`	Local radon descriptors for image search. IPTA Morteza Babaie, Hamid R. Tizhoosh, Amin Khatami, Mohammad Ebrahim Shiri
2017	J	`jnl`	Micro-differential evolution: Diversity enhancement and a comparative study. Appl. Soft Comput. Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
2017	J	`jnl`	Opposition based Ensemble Micro Differential Evolution. CoRR Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
2017	—	`conf`	Opposition-based ensemble micro-differential evolution. SSCI Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
2017	J	`jnl`	Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections. CoRR Morteza Babaie, Hamid R. Tizhoosh, Shujin Zhu, Mohammad Ebrahim Shiri
2017	C	`conf`	Retrieving Similar X-ray Images from Big Image Data using Radon Barcodes with Single Projections. ICPRAM Morteza Babaie, Hamid R. Tizhoosh, Shujin Zhu, Mohammad Ebrahim Shiri
2017	J	`jnl`	Skin Lesion Segmentation: U-Nets versus Clustering. CoRR Bill S. Lin, Kevin Michael, Shivam Kalra, Hamid R. Tizhoosh
2017	—	`conf`	Skin lesion segmentation: U-Nets versus clustering. SSCI Bill S. Lin, Kevin Michael, Shivam Kalra, Hamid R. Tizhoosh
2017	J	`jnl`	Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer. CoRR Mehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu, Dun Huang, Hadi Tadayyon, Gregory J. Czarnota
2017	—	`conf`	Tumour ellipsification in ultrasound images for treatment prediction in breast cancer. BHI Mehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu, Dun Huang, Hadi Tadayyon, Gregory J. Czarnota
2016	J	`jnl`	Anatomy-Aware Measurement of Segmentation Accuracy. CoRR Hamid R. Tizhoosh, Ahmed A. Othman
2016	B	`conf`	Anatomy-aware measurement of segmentation accuracy. Image Processing Hamid R. Tizhoosh, Ahmed A. Othman
2016	J	`jnl`	Automated Resolution Selection for Image Segmentation. CoRR Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan
2016	J	`jnl`	Barcodes for Medical Image Retrieval Using Autoencoded Radon Transform. CoRR Hamid R. Tizhoosh, Christopher Mitcheltree, Shujin Zhu, Shamak Dutta
2016	B	`conf`	Barcodes for medical image retrieval using autoencoded Radon transform. ICPR Hamid R. Tizhoosh, Christopher Mitcheltree, Shujin Zhu, Shamak Dutta
2016	J	`jnl`	Binary Codes for Tagging X-Ray Images via Deep De-Noising Autoencoders. CoRR Antonio Sze-To, Hamid R. Tizhoosh, Andrew K. C. Wong
2016	B	`conf`	Binary codes for tagging x-ray images via deep de-noising autoencoders. IJCNN Antonio Sze-To, Hamid R. Tizhoosh, Andrew K. C. Wong
2016	J	`jnl`	Evolutionary Projection Selection for Radon Barcodes. CoRR Hamid R. Tizhoosh, Shahryar Rahnamayan
2016	B	`conf`	Evolutionary projection selection for Radon barcodes. CEC Hamid R. Tizhoosh, Shahryar Rahnamayan
2016	B	`conf`	Exploration enhancement in ensemble micro-differential evolution. CEC Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
2016	J	`jnl`	Gabor Barcodes for Medical Image Retrieval. CoRR Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali
2016	B	`conf`	Gabor barcodes for medical image retrieval. ICIP Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali
2016	J	`jnl`	Generating Binary Tags for Fast Medical Image Retrieval Based on Convolutional Nets and Radon Transform. CoRR Xinran Liu, Hamid R. Tizhoosh, Jonathan Kofman
2016	B	`conf`	Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform. IJCNN Xinran Liu, Hamid R. Tizhoosh, Jonathan Kofman
2016	J	`jnl`	Learning Opposites Using Neural Networks. CoRR Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh
2016	B	`conf`	Learning opposites using neural networks. ICPR Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh
2016	—	`conf`	MinMax Radon Barcodes for Medical Image Retrieval. ISVC (1) Hamid R. Tizhoosh, Shujin Zhu, Hanson Lo, Varun Chaudhari, Tahmid Mehdi
2016	J	`jnl`	MinMax Radon Barcodes for Medical Image Retrieval. CoRR Hamid R. Tizhoosh, Shujin Zhu, Hanson Lo, Varun Chaudhari, Tahmid Mehdi
2016	J	`jnl`	Radon Features and Barcodes for Medical Image Retrieval via SVM. CoRR Shujin Zhu, Hamid R. Tizhoosh
2016	B	`conf`	Radon features and barcodes for medical image retrieval via SVM. IJCNN Shujin Zhu, Hamid R. Tizhoosh
2016	J	`jnl`	Radon-Gabor Barcodes for Medical Image Retrieval. CoRR Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung
2016	B	`conf`	Radon-Gabor barcodes for medical image retrieval. ICPR Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung
2016	J	`jnl`	Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes. J. Digit. Imaging Farzad Khalvati, Aryan Salmanpour, Shahryar Rahnamayan, Masoom A. Haider, Hamid R. Tizhoosh
2016	—	`conf`	Stacked Autoencoders for Medical Image Search. ISVC (1) S. Sharma, I. Umar, L. Ospina, D. Wong, Hamid R. Tizhoosh
2016	J	`jnl`	Stacked Autoencoders for Medical Image Search. CoRR S. Sharma, I. Umar, L. Ospina, D. Wong, Hamid R. Tizhoosh
2016	J	`jnl`	Tumour ROI Estimation in Ultrasound Images via Radon Barcodes in Patients with Locally Advanced Breast Cancer. CoRR Hamid R. Tizhoosh, Mehrdad J. Gangeh, Hadi Tadayyon, Gregory J. Czarnota
2016	—	`conf`	Tumour ROI estimation in ultrasound images via radon barcodes in patients with locally advanced breast cancer. ISBI Hamid R. Tizhoosh, Mehrdad J. Gangeh, Hadi Tadayyon, Gregory J. Czarnota
2015	J	`jnl`	Autoencoding the Retrieval Relevance of Medical Images. CoRR Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
2015	—	`conf`	Autoencoding the retrieval relevance of medical images. IPTA Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Barcode Annotations for Medical Image Retrieval: A Preliminary Investigation. CoRR Hamid R. Tizhoosh
2015	B	`conf`	Barcode annotations for medical image retrieval: A preliminary investigation. ICIP Hamid R. Tizhoosh
2015	J	`jnl`	Evolving Fuzzy Image Segmentation with Self-Configuration. CoRR Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Learning Opposites with Evolving Rules. CoRR Hamid R. Tizhoosh, Shahryar Rahnamayan
2015	B	`conf`	Learning opposites with evolving rules. FUZZ-IEEE Hamid R. Tizhoosh, Shahryar Rahnamayan
2015	C	`conf`	Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data. ICMLA Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data. CoRR Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Micro-Differential Evolution: Diversity Enhancement and Comparative Study. CoRR Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
2015	C	`conf`	Self-Configuring and Evolving Fuzzy Image Thresholding. ICMLA Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Self-Configuring and Evolving Fuzzy Image Thresholding. CoRR Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Window memoization: toward high-performance image processing software. J. Real Time Image Process. Farzad Khalvati, Mark D. Aagaard, Hamid R. Tizhoosh
2014	J	`jnl`	EFIS - Evolving Fuzzy Image Segmentation. IEEE Trans. Fuzzy Syst. Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
2014	B	`conf`	Micro-differential evolution with vectorized random mutation factor. IEEE Congress on Evolutionary Computation Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh, Stephen Y. Chen
2014	J	`jnl`	Multi-Resolution Level Sets with Shape Priors: A Validation Report for 2D Segmentation of Prostate Gland in T2W MR Images. J. Digit. Imaging Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan
2014	J	`jnl`	Oppositional extension of reinforcement learning techniques. Inf. Sci. Masoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam
2014	B	`conf`	Type-II opposition-based differential evolution. IEEE Congress on Evolutionary Computation Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
2013	—	`conf`	Image classification using evolving fuzzy inference systems. IFSA/NAFIPS Ahmed A. Othman, Hamid R. Tizhoosh
2013	—	`conf`	Multi-stage intra-patient template matching for prostate detection in MR volumes. EMBC Zeinab Jahed, Khaled B. Shaban, Hamid R. Tizhoosh
2013	B	`conf`	N-cuts parameter adjustment using evolving fuzzy inferencing. FUZZ-IEEE Ahmed A. Othman, Hamid R. Tizhoosh
2011	J	`jnl`	An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the Prostate. J. Digit. Imaging Samar Samir Mohamed, J. M. Li, Magdy M. A. Salama, George H. Freeman, Hamid R. Tizhoosh, Aaron Fenster, K. Rizkalla
2011	Misc	`conf`	Cascaded Window Memoization for Medical Imaging. AIAI Farzad Khalvati, Mehdi Kianpour, Hamid R. Tizhoosh
2011	B	`conf`	Evolving fuzzy image segmentation. FUZZ-IEEE Ahmed A. Othman, Hamid R. Tizhoosh
2011	B	`conf`	Multi-resolution level set image segmentation using wavelets. ICIP Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan
2011	B	`conf`	Neural image thresholding with SIFT-Controlled gabor features. IJCNN Ahmed A. Othman, Hamid R. Tizhoosh
2011	C	`conf`	Segmentation of Breast Ultrasound Images Using Neural Networks. EANN Ahmed A. Othman, Hamid R. Tizhoosh
2010	—	`conf`	A Neural Approach to Image Thresholding. ICANN (1) Ahmed A. Othman, Hamid R. Tizhoosh
2010	J	`jnl`	A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918]. Appl. Soft Comput. Mario Ventresca, Shahryar Rahnamayan, Hamid R. Tizhoosh
2010	J	`jnl`	Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images. Fuzzy Sets Syst. Humberto Bustince Sola, Miguel Pagola, Edurne Barrenechea Tartas, Javier Fernández, Pedro Melo-Pinto, Pedro Couto, Hamid R. Tizhoosh, Javier Montero
2010	C	`conf`	Image thresholding using neural network. ISDA Ahmed A. Othman, Hamid R. Tizhoosh
2010	—	`conf`	Neural Image Thresholding Using SIFT: A Comparative Study. ACIVS (1) Ahmed A. Othman, Hamid R. Tizhoosh
2010	B	`conf`	Opposition based computing - A survey. IJCNN Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan
2010	B	`conf`	Oppositional fuzzy image thresholding. FUZZ-IEEE Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan
2010	B	`conf`	Visualization of hidden structures in corporate failure prediction using opposite pheromone per node model. IEEE Congress on Evolutionary Computation Soumya Banerjee, Hamid R. Tizhoosh
2009	—	`conf`	Adaptive λ-enhancement: Type I versus type II fuzzy implementation. CIIP Hamid R. Tizhoosh
2009	—	`conf`	An efficient architecture for hardware implementations of image processing algorithms. CIIP Farzad Khalvati, Hamid R. Tizhoosh
2009	J	`jnl`	Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples. J. Adv. Comput. Intell. Intell. Informatics Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2009	B	`conf`	Improving gradient-based learning algorithms for large scale feedforward networks. IJCNN Mario Ventresca, Hamid R. Tizhoosh
2009	—	`conf`	Increasing Computational Redundancy of Digital Images via Multiresolutional Matching. ICIAR Farzad Khalvati, Hamid R. Tizhoosh, Arsen R. Hajian
2009	—	`conf`	Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images. IFSA/EUSFLAT Conf. Miguel Pagola, Edurne Barrenechea Tartas, Aranzazu Jurio, Mikel Galar, Pedro Couto, Farhang Sahba, Hamid R. Tizhoosh
2009	—	`conf`	Opposite Fuzzy Sets with Applications in Image Processing. IFSA/EUSFLAT Conf. Hamid R. Tizhoosh
2009	J	`jnl`	Oppositional target domain estimation using grid-based simulation. Appl. Soft Comput. Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel
2009	B	`conf`	Quasi-global oppositional fuzzy thresholding. FUZZ-IEEE Hamid R. Tizhoosh, Farhang Sahba
2008	J	`jnl`	A diversity maintaining population-based incremental learning algorithm. Inf. Sci. Mario Ventresca, Hamid R. Tizhoosh
2008	J	`jnl`	A reinforcement agent for object segmentation in ultrasound images. Expert Syst. Appl. Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama
2008	J	`jnl`	A reinforcement agent for threshold fusion. Appl. Soft Comput. Maryam Shokri, Hamid R. Tizhoosh
2008	J	`jnl`	Application of reinforcement learning for segmentation of transrectal ultrasound images. BMC Medical Imaging Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama
2008	—	`ch.`	Differential Evolution Via Exploiting Opposite Populations. Oppositional Concepts in Computational Intelligence Shahryar Rahnamayan, Hamid R. Tizhoosh
2008	B	`conf`	Filtering and fusion of THz images for defect detection in composite materials. FUZZ-IEEE Kaveh Houshmand, Hamid R. Tizhoosh
2008	B	`conf`	Image thresholding using micro opposition-based Differential Evolution (Micro-ODE). IEEE Congress on Evolutionary Computation Shahryar Rahnamayan, Hamid R. Tizhoosh
2008	J	`jnl`	Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics. Pattern Recognit. Hamid R. Tizhoosh
2008	—	`ch.`	Introduction. Oppositional Concepts in Computational Intelligence Hamid R. Tizhoosh, Mario Ventresca
2008	B	`conf`	Numerical condition of feedforward networks with opposite transfer functions. IJCNN Mario Ventresca, Hamid R. Tizhoosh
2008	—	`ch.`	Opposite Actions in Reinforced Image Segmentation. Oppositional Concepts in Computational Intelligence Farhang Sahba, Hamid R. Tizhoosh
2008	—	`ch.`	Opposition Mining in Reservoir Management. Oppositional Concepts in Computational Intelligence Masoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam
2008	J	`jnl`	Opposition versus randomness in soft computing techniques. Appl. Soft Comput. Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2008	—	`ch.`	Opposition-Based Computing. Oppositional Concepts in Computational Intelligence Hamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan
2008	J	`jnl`	Opposition-Based Differential Evolution. IEEE Trans. Evol. Comput. Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2008	—	`book`	Oppositional Concepts in Computational Intelligence Oppositional Concepts in Computational Intelligence Hamid R. Tizhoosh, Mario Ventresca
2008	—	`ch.`	The Concept of Opposition and Its Use in Q-Learning and Q(lambda) Techniques. Oppositional Concepts in Computational Intelligence Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel
2008	B	`conf`	Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments. IJCNN Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel
2008	—	`ch.`	Two Frameworks for Improving Gradient-Based Learning Algorithms. Oppositional Concepts in Computational Intelligence Mario Ventresca, Hamid R. Tizhoosh
2008	—	`ch.`	Type II Fuzzy Image Segmentation. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Hamid R. Tizhoosh
2007	J	`jnl`	A novel population initialization method for accelerating evolutionary algorithms. Comput. Math. Appl. Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2007	B	`conf`	Active exploratory q-learning for large problems. SMC Xianghai Wu, Jonathan Kofman, Hamid R. Tizhoosh
2007	—	`conf`	Applying Opposition-Based Ideas to the Ant Colony System. SIS Alice R. Malisia, Hamid R. Tizhoosh
2007	J	`jnl`	Fuzzy Classification Using Pattern Discovery. IEEE Trans. Fuzzy Syst. Andrew Hamilton-Wright, Daniel W. Stashuk, Hamid R. Tizhoosh
2007	—	`conf`	Opposite Transfer Functions and Backpropagation Through Time. FOCI Mario Ventresca, Hamid R. Tizhoosh
2007	—	`conf`	Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate. FOCI Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2007	B	`conf`	Quasi-oppositional Differential Evolution. IEEE Congress on Evolutionary Computation Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2007	—	`conf`	Simulated Annealing with Opposite Neighbors. FOCI Mario Ventresca, Hamid R. Tizhoosh
2006	B	`conf`	A Reinforcement Learning Framework for Medical Image Segmentation. IJCNN Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama
2006	B	`conf`	Applying Ant Colony Optimization to Binary Thresholding. ICIP Alice R. Malisia, Hamid R. Tizhoosh
2006	J	`jnl`	Fuzzy anisotropic diffusion based on edge detection. J. Intell. Fuzzy Syst. Jialin Song, Hamid R. Tizhoosh
2006	B	`conf`	IRIS Segmentation: Detecting Pupil, Limbus and Eyelids. ICIP Ehsan Mohammadi Arvacheh, Hamid R. Tizhoosh
2006	—	`conf`	Image Thresholding Using Ant Colony Optimization. CRV Alice R. Malisia, Hamid R. Tizhoosh
2006	—	`conf`	Image Thresholding Using Differential Evolution. IPCV Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2006	B	`conf`	Improving the Convergence of Backpropagation by Opposite Transfer Functions. IJCNN Mario Ventresca, Hamid R. Tizhoosh
2006	B	`conf`	Increasing Object Recognition Rate using Reinforced Segmentation. ICIP Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama
2006	J	`jnl`	On poem recognition. Pattern Anal. Appl. Hamid R. Tizhoosh, Rozita A. Dara
2006	B	`conf`	Opposition-Based Differential Evolution Algorithms. IEEE Congress on Evolutionary Computation Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2006	B	`conf`	Opposition-Based Differential Evolution for Optimization of Noisy Problems. IEEE Congress on Evolutionary Computation Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2006	B	`conf`	Opposition-Based Q(lambda) Algorithm. IJCNN Maryam Shokri, Hamid R. Tizhoosh, Mohamed Kamel
2006	J	`jnl`	Opposition-Based Reinforcement Learning. J. Adv. Comput. Intell. Intell. Informatics Hamid R. Tizhoosh
2006	J	`jnl`	Reinforced Contrast Adaptation. Int. J. Image Graph. Hamid R. Tizhoosh, Graham W. Taylor
2006	B	`conf`	Weighted Voting-Based Robust Image Thresholding. ICIP Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2005	—	`conf`	Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images. ICIAR Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
2005	J	`jnl`	Image thresholding using type II fuzzy sets. Pattern Recognit. Hamid R. Tizhoosh
2005	—	`conf`	Opposition-Based Learning: A New Scheme for Machine Intelligence. CIMCA/IAWTIC Hamid R. Tizhoosh
2005	—	`conf`	Segmentation of prostate boundaries using regional contrast enhancement. ICIP (2) Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama
2005	—	`conf`	Type-2 Fuzzy Image Enhancement. ICIAR P. Ensafi, Hamid R. Tizhoosh
2005	—	`conf`	Using Reinforcement Learning for Filter Fusion in Image Enhancement. Computational Intelligence Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama
2004	—	`conf`	Q(lambda)-Based Image Thresholding. CRV Maryam Shokri, Hamid R. Tizhoosh
2002	—	`conf`	Observer-dependent sharpening. ICIP (1) Hamid R. Tizhoosh
2001	B	`conf`	Invited talk: Observer-dependent Image Enhancement. FUZZ-IEEE Hamid R. Tizhoosh
2001	J	`jnl`	Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system. Image Vis. Comput. Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis
2000	—	`—`	Bildverbesserung mit Rücksicht auf das subjektive Expertenwissen unter besonderer Verwendung von Fuzzy-Ansätzen. Hamid R. Tizhoosh
2000	—	`ch.`	Fuzzy Image Processing. Computer Vision and Applications Horst Haußecker, Hamid R. Tizhoosh
1998	J	`jnl`	Enhancement and associative restoration of electronic portal images in radiotherapy. Int. J. Medical Informatics Gerald Krell, Hamid R. Tizhoosh, Tilo Lilienblum, C. J. Moore, Bernd Michaelis
1998	—	`conf`	Über Binarisierung und Potentiale der Fuzzy-Ansätze. GI Jahrestagung Hamid R. Tizhoosh
1997	—	`conf`	Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images. ICIP (2) Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis
1997	B	`conf`	Enhancement and associative restoration of electronic portal images in radiotherapy. CBMS Gerald Krell, Hamid R. Tizhoosh, Tilo Lilienblum, C. J. Moore, Bernd Michaelis
1997	—	`conf`	Fuzzy image enhancement and associative feature matching in radiotherapy. ICNN Gerald Krell, Hamid R. Tizhoosh, Tilo Lilienblum, C. J. Moore, Bernd Michaelis
1997	—	`book`	Fuzzy-Bildverarbeitung - Einführung in Theorie und Praxis. Hamid R. Tizhoosh
1997	—	`conf`	Locally Adaptive Fuzzy Image Enhancement. Fuzzy Days Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis