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2020 – today
- 2024
[j47]Davood Zaman Farsa
, Shahryar Rahnamayan, Azam Asilian Bidgoli, Hamid R. Tizhoosh:
Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images. Comput. Oper. Res. 162: 106483 (2024)- [c136]Saghir Alfasly, Abubakr Shafique, Peyman Nejat, Jibran A. Khan, Areej Alsaafin, Ghazal Alabtah, Hamid R. Tizhoosh:
Rotation-Agnostic Image Representation Learning for Digital Pathology. CVPR 2024: 11683-11693 - [i97]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:
Analysis and Validation of Image Search Engines in Histopathology. CoRR abs/2401.03271 (2024) - [i96]Hamid R. Tizhoosh, Liron Pantanowitz:
On Image Search in Histopathology. CoRR abs/2401.08699 (2024) - [i95]Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab, Azam Asilian Bidgoli, Hamid R. Tizhoosh:
Training Artificial Neural Networks by Coordinate Search Algorithm. CoRR abs/2402.12646 (2024) - [i94]Hamid R. Tizhoosh:
Foundation Models and Information Retrieval in Digital Pathology. CoRR abs/2403.12090 (2024) - [i93]Areej Alsaafin, Peyman Nejat, Abubakr Shafique, Jibran A. Khan, Saghir Alfasly, Ghazal Alabtah, Hamid R. Tizhoosh:
SPLICE - Streamlining Digital Pathology Image Processing. CoRR abs/2404.17704 (2024) - [i92]Hamid R. Tizhoosh:
On Validation of Search & Retrieval of Tissue Images in Digital Pathology. CoRR abs/2408.01570 (2024) - [i91]Sobhan Hemati, Krishna R. Kalari, Hamid R. Tizhoosh:
A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology. CoRR abs/2409.04615 (2024) - [i90]Saghir Alfasly, Ghazal Alabtah, Sobhan Hemati, Krishna Rani Kalari, Hamid R. Tizhoosh:
Zero-Shot Whole Slide Image Retrieval in Histopathology Using Embeddings of Foundation Models. CoRR abs/2409.04631 (2024) - [i89]Areej Alsaafin, Abubakr Shafique, Saghir Alfasly, Hamid R. Tizhoosh:
Personalized 2D Binary Patient Codes of Tissue Images and Immunogenomic Data Through Multimodal Self-Supervised Fusion. CoRR abs/2409.13115 (2024) - 2023
- [j46]Pooria Mazaheri, Azam Asilian Bidgoli, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Ranking loss and sequestering learning for reducing image search bias in histopathology. Appl. Soft Comput. 142: 110346 (2023) - [j45]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) - [j44]Youqing Mu, Hamid R. Tizhoosh, Taher Dehkharghanian, Clinton J. V. Campbell:
Whole slide image representation in bone marrow cytology. Comput. Biol. Medicine 166: 107530 (2023) - [j43]Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh:
Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. IEEE Trans. Evol. Comput. 27(1): 52-66 (2023) - [j42]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) - [c135]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 - [c134]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 - [c133]Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Hamid R. Tizhoosh:
Immunohistochemistry Biomarkers-Guided Image Search for Histopathology. EMBC 2023: 1-5 - [c132]Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh:
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. ICCV (Workshops) 2023: 2656-2665 - [c131]Areej Alsaafin, Morteza Babaie, Hamid R. Tizhoosh:
Deep modality association learning using histopathology images and immune cell sequencing data. Digital and Computational Pathology 2023 - [c130]Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab, Azam Asilian Bidgoli, Hamid R. Tizhoosh:
Training Artificial Neural Networks by Coordinate Search Algorithm. SSCI 2023: 1540-1546 - [i88]Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh:
Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. CoRR abs/2303.00943 (2023) - [i87]Milad Sikaroudi, Mehdi Afshari, Abubakr Shafique, Shivam Kalra, Hamid R. Tizhoosh:
Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'. CoRR abs/2304.08297 (2023) - [i86]Pooria Mazaheri, Azam Asilian Bidgoli, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology. CoRR abs/2304.08498 (2023) - [i85]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) - [i84]Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Hamid R. Tizhoosh:
Immunohistochemistry Biomarkers-Guided Image Search for Histopathology. CoRR abs/2304.12424 (2023) - [i83]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) - [i82]Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh:
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. CoRR abs/2308.03936 (2023) - [i81]Abubakr Shafique, Ricardo Gonzalez, Liron Pantanowitz, Puay Hoon Tan, Alberto Machado, Ian A Cree, Hamid R. Tizhoosh:
A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks. CoRR abs/2308.11162 (2023) - [i80]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:
When is a Foundation Model a Foundation Model. CoRR abs/2309.11510 (2023) - [i79]Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, Nneka I. Comfere, Aaron Mangold, Dennis Murphree, Patricija Zot, Saba Yasir, Joaquin J. Garcia, Hamid R. Tizhoosh:
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection. CoRR abs/2310.03106 (2023) - [i78]Saghir Alfasly, Abubakr Shafique, Peyman Nejat, Jibran A. Khan, Areej Alsaafin, Ghazal Alabtah, Hamid R. Tizhoosh:
Rotation-Agnostic Image Representation Learning for Digital Pathology. CoRR abs/2311.08359 (2023) - [i77]Abubakr Shafique, Saghir Alfasly, Areej Alsaafin, Peyman Nejat, Jibran A. Khan, Hamid R. Tizhoosh:
Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images. CoRR abs/2311.09902 (2023) - 2022
- [j41]Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Shivam Kalra, Manit Zaveri, Clinton J. V. Campbell, Anil Parwani, Liron Pantanowitz, Hamid R. Tizhoosh:
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. Artif. Intell. Medicine 132: 102368 (2022) - [j40]Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shoja'eddin Chenouri, Hamid R. Tizhoosh:
A non-alternating graph hashing algorithm for large-scale image search. Comput. Vis. Image Underst. 219: 103415 (2022) - [j39]Sobhan Hemati, Hamid R. Tizhoosh:
Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing. Pattern Recognit. Lett. 153: 44-50 (2022) - [j38]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) - [c129]Milad Sikaroudi, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Hospital-Agnostic Image Representation Learning in Digital Pathology. EMBC 2022: 3055-3058 - [c128]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 - [c127]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 - [c126]Danial Maleki, Hamid R. Tizhoosh:
LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives. MIDL 2022: 879-894 - [d1]Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton J. V. Campbell:
Automated bone marrow cytology using deep learning to generate a histogram of cell types. Zenodo, 2022
- [i76]Danial Maleki, Hamid R. Tizhoosh:
LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives. CoRR abs/2203.01445 (2022) - [i75]Amir Safarpoor, Jason D. Hipp, Hamid R. Tizhoosh:
Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification. CoRR abs/2203.13997 (2022) - [i74]Milad Sikaroudi, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Hospital-Agnostic Image Representation Learning in Digital Pathology. CoRR abs/2204.02404 (2022) - [i73]Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Angus Galloway, Hamid R. Tizhoosh, Graham W. Taylor:
Monitoring Shortcut Learning using Mutual Information. CoRR abs/2206.13034 (2022) - [i72]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) - [i71]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
- [j37]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) - [c125]Seyedeh Maryam Hosseini, Morteza Babaie, Hamid R. Tizhoosh:
Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images. BIBE 2021: 1-5 - [c124]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 - [c123]Mehdi Afshari, Hamid R. Tizhoosh:
A Similarity Measure of Histopathology Images by Deep Embeddings. EMBC 2021: 3447-3450 - [c122]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 - [c121]Nitish Bhatt, David Ramon Prados, Nedim Hodzic, Christos Karanassios, Hamid R. Tizhoosh:
Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks. EMBC 2021: 3842-3845 - [c120]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 - [c119]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization For Histopathology Image Embedding. ISBI 2021: 1864-1868 - [c118]Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. MICCAI (8) 2021: 350-359 - [c117]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 - [i70]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization for Histopathology Image Embedding. CoRR abs/2101.07757 (2021) - [i69]Antonio Sze-To, Abtin Riasatian, Hamid R. Tizhoosh:
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features. CoRR abs/2102.06096 (2021) - [i68]Sobhan Shafiei, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings. CoRR abs/2102.07611 (2021) - [i67]Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. CoRR abs/2106.06623 (2021) - [i66]Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton J. V. Campbell:
Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology. CoRR abs/2107.02293 (2021) - [i65]Mehdi Afshari, Hamid R. Tizhoosh:
A Similarity Measure of Histopathology Images by Deep Embeddings. CoRR abs/2107.13703 (2021) - [i64]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) - [i63]Nitish Bhatt, David Ramon Prados, Nedim Hodzic, Christos Karanassios, Hamid R. Tizhoosh:
Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks. CoRR abs/2108.02233 (2021) - [i62]Sobhan Hemati, Hamid R. Tizhoosh:
Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing. CoRR abs/2110.00216 (2021) - [i61]Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh:
ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. CoRR abs/2111.11343 (2021) - [i60]Shalev Lifshitz, Abtin Riasatian, Hamid R. Tizhoosh:
Gram Barcodes for Histopathology Tissue Texture Retrieval. CoRR abs/2111.15519 (2021) - 2020
- [j36]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) - [j35]Shivam Kalra, Hamid R. Tizhoosh, Charles Choi, Sultaan Shah, Phedias Diamandis, Clinton J. V. Campbell, Liron Pantanowitz:
Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. Medical Image Anal. 65: 101757 (2020) - [j34]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) - [j33]Sobhan Shafiei, Amir Safarpoor, Ahad Jamalizadeh, Hamid R. Tizhoosh:
Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model. IEEE Trans. Medical Imaging 39(11): 3355-3366 (2020) - [c116]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 - [c115]Antonio Sze-To, Hamid R. Tizhoosh:
Searching for Pneumothorax in Half a Million Chest X-Ray Images. AIME 2020: 453-462 - [c114]Morteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh:
A New Local Radon Descriptor for Content-Based Image Search. AIME 2020: 463-472 - [c113]Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh:
Representation Learning of Histopathology Images using Graph Neural Networks. CVPR Workshops 2020: 4254-4261 - [c112]Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh:
Learning Permutation Invariant Representations Using Memory Networks. ECCV (29) 2020: 677-693 - [c111]Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh:
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. EMBC 2020: 1400-1403 - [c110]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 - [c109]Abdullah Irfan, Akash L. Adivishnu, Antonio Sze-To, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classifying Pneumonia among Chest X-Rays Using Transfer Learning. EMBC 2020: 2186-2189 - [c108]Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset. EMBC 2020: 5308-5311 - [c107]Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. ICIAR (2) 2020: 3-15 - [c106]Alison K. Cheeseman, Hamid R. Tizhoosh, Edward R. Vrscay:
Studying the Effect of Digital Stain Separation of Histopathology Images on Image Search Performance. ICIAR (2) 2020: 262-273 - [c105]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. ICPR 2020: 7080-7086 - [c104]Manit Zaveri, Sobhan Hemati, Sultaan Shah, Savvas Damaskinos, Hamid R. Tizhoosh:
Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images. ICTAI 2020: 363-367 - [c103]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. IJCNN 2020: 1-7 - [c102]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 - [c101]Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. ISVC (1) 2020: 333-345 - [c100]Danial Maleki, Mehdi Afshari, Morteza Babaie, Hamid R. Tizhoosh:
Ink Marker Segmentation in Histopathology Images Using Deep Learning. ISVC (1) 2020: 359-368 - [i59]Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. CoRR abs/2004.01857 (2020) - [i58]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. CoRR abs/2004.04674 (2020) - [i57]Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh:
Representation Learning of Histopathology Images using Graph Neural Networks. CoRR abs/2004.07399 (2020) - [i56]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) - [i55]Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh:
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. CoRR abs/2005.08629 (2020) - [i54]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) - [i53]Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. CoRR abs/2007.02200 (2020) - [i52]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. CoRR abs/2007.05610 (2020) - [i51]Antonio Sze-To, Hamid R. Tizhoosh:
Searching for Pneumothorax in Half a Million Chest X-Ray Images. CoRR abs/2007.15429 (2020) - [i50]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) - [i49]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) - [i48]Danial Maleki, Mehdi Afshari, Morteza Babaie, Hamid R. Tizhoosh:
Ink Marker Segmentation in Histopathology Images Using Deep Learning. CoRR abs/2010.15865 (2020) - [i47]Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shoja'eddin Chenouri, Hamid R. Tizhoosh:
A non-alternating graph hashing algorithm for large scale image search. CoRR abs/2012.13138 (2020)
2010 – 2019
- 2019
- [j32]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) - [c99]Sara Ross-Howe, Hamid R. Tizhoosh:
Atrial Fibrillation Detection Using Deep Features and Convolutional Networks. BHI 2019: 1-4 - [c98]Wafa Chenni, Habib Herbi, Morteza Babaie, Hamid R. Tizhoosh:
Patch Clustering for Representation of Histopathology Images. ECDP 2019: 28-37 - [c97]Morteza Babaie, Hamid R. Tizhoosh:
Deep Features for Tissue-Fold Detection in Histopathology Images. ECDP 2019: 125-132 - [c96]Alison K. Cheeseman, Hamid R. Tizhoosh, Edward R. Vrscay:
A Compact Representation of Histopathology Images Using Digital Stain Separation and Frequency-Based Encoded Local Projections. ICIAR (2) 2019: 147-158 - [c95]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh:
Projectron - A Shallow and Interpretable Network for Classifying Medical Images. IJCNN 2019: 1-9 - [c94]Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie:
Subtractive Perceptrons for Learning Images: A Preliminary Report. IPTA 2019: 1-6 - [i46]Morteza Babaie, Hamid R. Tizhoosh:
Deep Features for Tissue-Fold Detection in Histopathology Images. CoRR abs/1903.07011 (2019) - [i45]Wafa Chenni, Habib Herbi, Morteza Babaie, Hamid R. Tizhoosh:
Patch Clustering for Representation of Histopathology Images. CoRR abs/1903.07013 (2019) - [i44]Shivam Kalra, Larry Li, Hamid R. Tizhoosh:
Automatic Classification of Pathology Reports using TF-IDF Features. CoRR abs/1903.07406 (2019) - [i43]Sara Ross-Howe, Hamid R. Tizhoosh:
Atrial Fibrillation Detection Using Deep Features and Convolutional Networks. CoRR abs/1903.11775 (2019) - [i42]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh:
Projectron - A Shallow and Interpretable Network for Classifying Medical Images. CoRR abs/1904.00740 (2019) - [i41]Alison K. Cheeseman, Hamid R. Tizhoosh, Edward R. Vrscay:
A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections. CoRR abs/1905.11945 (2019) - [i40]Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie:
Subtractive Perceptrons for Learning Images: A Preliminary Report. CoRR abs/1909.12933 (2019) - [i39]Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh:
Learning Permutation Invariant Representations using Memory Networks. CoRR abs/1911.07984 (2019) - [i38]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) - [i37]Shivam Kalra, Charles Choi, Sultaan Shah, Liron Pantanowitz, Hamid R. Tizhoosh:
Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. CoRR abs/1911.08748 (2019) - 2018
- [j31]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) - [j30]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) - [j29]Shujin Zhu, Yuehua Li, Shivam Kalra, Hamid R. Tizhoosh:
Multiple disjoint dictionaries for representation of histopathology images. J. Vis. Commun. Image Represent. 55: 243-252 (2018) - [j28]Hamid R. Tizhoosh, Morteza Babaie:
Representing Medical Images With Encoded Local Projections. IEEE Trans. Biomed. Eng. 65(10): 2267-2277 (2018) - [c93]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
CenDE: Centroid-Based Differential Evolution. CCECE 2018: 1-4 - [c92]Graham Bleaney, Matthew Kuzyk, Julian Man, Hossein Mayanloo, Hamid R. Tizhoosh:
Auto-detection of Safety Issues in Baby Products. IEA/AIE 2018: 505-516 - [c91]Taha J. Alhindi, Shivam Kalra, Ka Hin Ng, Anika Afrin, Hamid R. Tizhoosh:
Comparing LBP, HOG and Deep Features for Classification of Histopathology Images. IJCNN 2018: 1-7 - [c90]Meghana Dinesh Kumar, Morteza Babaie, Hamid R. Tizhoosh:
Deep Barcodes for Fast Retrieval of Histopathology Scans. IJCNN 2018: 1-8 - [c89]Sara Ross-Howe, Hamid R. Tizhoosh:
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation. IJCNN 2018: 1-8 - [c88]Dhruv Sharma, Sarim Zafar, Morteza Babaie, Hamid R. Tizhoosh:
Facial Recognition with Encoded Local Projections. SSCI 2018: 1261-1268 - [c87]Aravind Ravi, Harshwin Venugopal, Sruthy Paul, Hamid R. Tizhoosh:
A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. SSCI 2018: 1396-1402 - [i36]Sara Ross-Howe, Hamid R. Tizhoosh:
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation. CoRR abs/1805.05239 (2018) - [i35]Meghana Dinesh Kumar, Morteza Babaie, Hamid R. Tizhoosh:
Deep Barcodes for Fast Retrieval of Histopathology Scans. CoRR abs/1805.08833 (2018) - [i34]Graham Bleaney, Matthew Kuzyk, Julian Man, Hossein Mayanloo, Hamid R. Tizhoosh:
Auto-Detection of Safety Issues in Baby Products. CoRR abs/1805.09772 (2018) - [i33]Aravind Ravi, Harshwin Venugopal, Sruthy Paul, Hamid R. Tizhoosh:
A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. CoRR abs/1809.06217 (2018) - [i32]Dhruv Sharma, Sarim Zafar, Morteza Babaie, Hamid R. Tizhoosh:
Facial Recognition with Encoded Local Projections. CoRR abs/1809.06218 (2018) - 2017
- [j27]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Micro-differential evolution: Diversity enhancement and a comparative study. Appl. Soft Comput. 52: 812-833 (2017) - [c86]Mehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu, Dun Huang, Hadi Tadayyon, Gregory J. Czarnota:
Tumour ellipsification in ultrasound images for treatment prediction in breast cancer. BHI 2017: 41-44 - [c85]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 - [c84]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 - [c83]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 - [c82]Morteza Babaie, Hamid R. Tizhoosh, Amin Khatami, Mohammad Ebrahim Shiri:
Local radon descriptors for image search. IPTA 2017: 1-5 - [c81]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 - [c80]Hamed Erfankhah, Mehran Yazdi, Hamid R. Tizhoosh:
Combining real-valued and binary Gabor-Radon features for classification and search in medical imaging archives. SSCI 2017: 1-5 - [c79]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 - [c78]Bill S. Lin, Kevin Michael, Shivam Kalra, Hamid R. Tizhoosh:
Skin lesion segmentation: U-Nets versus clustering. SSCI 2017: 1-7 - [c77]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Opposition-based ensemble micro-differential evolution. SSCI 2017: 1-8 - [c76]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning autoencoded radon projections. SSCI 2017: 1-5 - [i31]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) - [i30]Mehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu, Dun Huang, Hadi Tadayyon, Gregory J. Czarnota:
Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer. CoRR abs/1701.03779 (2017) - [i29]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) - [i28]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Opposition based Ensemble Micro Differential Evolution. CoRR abs/1709.06909 (2017) - [i27]Hamed Erfankhah, Mehran Yazdi, Hamid R. Tizhoosh:
Combining Real-Valued and Binary Gabor-Radon Features for Classification and Search in Medical Imaging Archives. CoRR abs/1709.09754 (2017) - [i26]Hamid R. Tizhoosh, Gregory J. Czarnota:
Fast Barcode Retrieval for Consensus Contouring. CoRR abs/1709.10197 (2017) - [i25]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning Autoencoded Radon Projections. CoRR abs/1710.01247 (2017) - [i24]Bill S. Lin, Kevin Michael, Shivam Kalra, Hamid R. Tizhoosh:
Skin Lesion Segmentation: U-Nets versus Clustering. CoRR abs/1710.01248 (2017) - [i23]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) - [i22]Morteza Babaie, Hamid R. Tizhoosh, Amin Khatami, Mohammad Ebrahim Shiri:
Local Radon Descriptors for Image Search. CoRR abs/1710.04097 (2017) - [i21]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) - 2016
- [j26]Farzad Khalvati, Aryan Salmanpour, Shahryar Rahnamayan, Masoom A. Haider, Hamid R. Tizhoosh:
Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes. J. Digit. Imaging 29(2): 254-263 (2016) - [c75]Hamid R. Tizhoosh, Shahryar Rahnamayan:
Evolutionary projection selection for Radon barcodes. CEC 2016: 1-8 - [c74]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Exploration enhancement in ensemble micro-differential evolution. CEC 2016: 63-70 - [c73]Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali:
Gabor barcodes for medical image retrieval. ICIP 2016: 2490-2493 - [c72]Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Learning opposites using neural networks. ICPR 2016: 1213-1218 - [c71]Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung:
Radon-Gabor barcodes for medical image retrieval. ICPR 2016: 1309-1314 - [c70]Hamid R. Tizhoosh, Christopher Mitcheltree, Shujin Zhu, Shamak Dutta:
Barcodes for medical image retrieval using autoencoded Radon transform. ICPR 2016: 3150-3155 - [c69]Antonio Sze-To, Hamid R. Tizhoosh, Andrew K. C. Wong:
Binary codes for tagging x-ray images via deep de-noising autoencoders. IJCNN 2016: 2864-2871 - [c68]Xinran Liu, Hamid R. Tizhoosh, Jonathan Kofman:
Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform. IJCNN 2016: 2872-2878 - [c67]Shujin Zhu, Hamid R. Tizhoosh:
Radon features and barcodes for medical image retrieval via SVM. IJCNN 2016: 5065-5071 - [c66]Hamid R. Tizhoosh, Mehrdad J. Gangeh, Hadi Tadayyon, Gregory J. Czarnota:
Tumour ROI estimation in ultrasound images via radon barcodes in patients with locally advanced breast cancer. ISBI 2016: 1185-1189 - [c65]S. Sharma, I. Umar, L. Ospina, D. Wong, Hamid R. Tizhoosh:
Stacked Autoencoders for Medical Image Search. ISVC (1) 2016: 45-54 - [c64]Hamid R. Tizhoosh, Shujin Zhu, Hanson Lo, Varun Chaudhari, Tahmid Mehdi:
MinMax Radon Barcodes for Medical Image Retrieval. ISVC (1) 2016: 617-627 - [c63]Hamid R. Tizhoosh, Ahmed A. Othman:
Anatomy-aware measurement of segmentation accuracy. Image Processing 2016: 97840C - [i20]Hamid R. Tizhoosh, Mehrdad J. Gangeh, Hadi Tadayyon, Gregory J. Czarnota:
Tumour ROI Estimation in Ultrasound Images via Radon Barcodes in Patients with Locally Advanced Breast Cancer. CoRR abs/1602.02586 (2016) - [i19]Hamid R. Tizhoosh, Shahryar Rahnamayan:
Evolutionary Projection Selection for Radon Barcodes. CoRR abs/1604.04673 (2016) - [i18]Shujin Zhu, Hamid R. Tizhoosh:
Radon Features and Barcodes for Medical Image Retrieval via SVM. CoRR abs/1604.04675 (2016) - [i17]Xinran Liu, Hamid R. Tizhoosh, Jonathan Kofman:
Generating Binary Tags for Fast Medical Image Retrieval Based on Convolutional Nets and Radon Transform. CoRR abs/1604.04676 (2016) - [i16]Hamid R. Tizhoosh, Ahmed A. Othman:
Anatomy-Aware Measurement of Segmentation Accuracy. CoRR abs/1604.04678 (2016) - [i15]Antonio Sze-To, Hamid R. Tizhoosh, Andrew K. C. Wong:
Binary Codes for Tagging X-Ray Images via Deep De-Noising Autoencoders. CoRR abs/1604.07060 (2016) - [i14]Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali:
Gabor Barcodes for Medical Image Retrieval. CoRR abs/1605.04478 (2016) - [i13]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Automated Resolution Selection for Image Segmentation. CoRR abs/1605.06820 (2016) - [i12]Hamid R. Tizhoosh, Christopher Mitcheltree, Shujin Zhu, Shamak Dutta:
Barcodes for Medical Image Retrieval Using Autoencoded Radon Transform. CoRR abs/1609.05112 (2016) - [i11]Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung:
Radon-Gabor Barcodes for Medical Image Retrieval. CoRR abs/1609.05118 (2016) - [i10]Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Learning Opposites Using Neural Networks. CoRR abs/1609.05123 (2016) - [i9]Hamid R. Tizhoosh, Shujin Zhu, Hanson Lo, Varun Chaudhari, Tahmid Mehdi:
MinMax Radon Barcodes for Medical Image Retrieval. CoRR abs/1610.00318 (2016) - [i8]S. Sharma, I. Umar, L. Ospina, D. Wong, Hamid R. Tizhoosh:
Stacked Autoencoders for Medical Image Search. CoRR abs/1610.00320 (2016) - 2015
- [j25]Farzad Khalvati, Mark D. Aagaard, Hamid R. Tizhoosh:
Window memoization: toward high-performance image processing software. J. Real Time Image Process. 10(1): 5-25 (2015) - [c62]Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning opposites with evolving rules. FUZZ-IEEE 2015: 1-8 - [c61]Hamid R. Tizhoosh:
Barcode annotations for medical image retrieval: A preliminary investigation. ICIP 2015: 818-822 - [c60]Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati:
Self-Configuring and Evolving Fuzzy Image Thresholding. ICMLA 2015: 13-18 - [c59]Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati:
Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data. ICMLA 2015: 128-132 - [c58]Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati:
Autoencoding the retrieval relevance of medical images. IPTA 2015: 550-555 - [i7]Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning Opposites with Evolving Rules. CoRR abs/1504.05619 (2015) - [i6]Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati:
Evolving Fuzzy Image Segmentation with Self-Configuration. CoRR abs/1504.06266 (2015) - [i5]Hamid R. Tizhoosh:
Barcode Annotations for Medical Image Retrieval: A Preliminary Investigation. CoRR abs/1505.05212 (2015) - [i4]Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati:
Autoencoding the Retrieval Relevance of Medical Images. CoRR abs/1507.01251 (2015) - [i3]Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati:
Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data. CoRR abs/1509.04619 (2015) - [i2]Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati:
Self-Configuring and Evolving Fuzzy Image Thresholding. CoRR abs/1509.04664 (2015) - [i1]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Micro-Differential Evolution: Diversity Enhancement and Comparative Study. CoRR abs/1512.07980 (2015) - 2014
- [j24]Masoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam:
Oppositional extension of reinforcement learning techniques. Inf. Sci. 275: 101-114 (2014) - [j23]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Multi-Resolution Level Sets with Shape Priors: A Validation Report for 2D Segmentation of Prostate Gland in T2W MR Images. J. Digit. Imaging 27(6): 833-847 (2014) - [j22]Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati:
EFIS - Evolving Fuzzy Image Segmentation. IEEE Trans. Fuzzy Syst. 22(1): 72-82 (2014) - [c57]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Type-II opposition-based differential evolution. IEEE Congress on Evolutionary Computation 2014: 1768-1775 - [c56]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh, Stephen Y. Chen:
Micro-differential evolution with vectorized random mutation factor. IEEE Congress on Evolutionary Computation 2014: 2055-2062 - 2013
- [c55]Zeinab Jahed, Khaled B. Shaban, Hamid R. Tizhoosh:
Multi-stage intra-patient template matching for prostate detection in MR volumes. EMBC 2013: 3327-3330 - [c54]Ahmed A. Othman, Hamid R. Tizhoosh:
N-cuts parameter adjustment using evolving fuzzy inferencing. FUZZ-IEEE 2013: 1-6 - [c53]Ahmed A. Othman, Hamid R. Tizhoosh:
Image classification using evolving fuzzy inference systems. IFSA/NAFIPS 2013: 1435-1438 - 2011
- [j21]Samar Samir Mohamed, J. M. Li, Magdy M. A. Salama, George H. Freeman, Hamid R. Tizhoosh, Aaron Fenster, K. Rizkalla:
An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the Prostate. J. Digit. Imaging 24(3): 411-423 (2011) - [c52]Ahmed A. Othman, Hamid R. Tizhoosh:
Evolving fuzzy image segmentation. FUZZ-IEEE 2011: 1603-1609 - [c51]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Multi-resolution level set image segmentation using wavelets. ICIP 2011: 269-272 - [c50]Ahmed A. Othman, Hamid R. Tizhoosh:
Segmentation of Breast Ultrasound Images Using Neural Networks. EANN/AIAI (1) 2011: 260-269 - [c49]Farzad Khalvati, Mehdi Kianpour, Hamid R. Tizhoosh:
Cascaded Window Memoization for Medical Imaging. EANN/AIAI (2) 2011: 275-284 - [c48]Ahmed A. Othman, Hamid R. Tizhoosh:
Neural image thresholding with SIFT-Controlled gabor features. IJCNN 2011: 2106-2112 - 2010
- [j20]Mario Ventresca, Shahryar Rahnamayan, Hamid R. Tizhoosh:
A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918]. Appl. Soft Comput. 10(3): 956-957 (2010) - [j19]Humberto Bustince Sola, Miguel Pagola, Edurne Barrenechea Tartas, Javier Fernández, Pedro Melo-Pinto, Pedro Couto, Hamid R. Tizhoosh, Javier Montero:
Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images. Fuzzy Sets Syst. 161(1): 20-36 (2010) - [c47]Ahmed A. Othman, Hamid R. Tizhoosh:
Neural Image Thresholding Using SIFT: A Comparative Study. ACIVS (1) 2010: 38-49 - [c46]Soumya Banerjee, Hamid R. Tizhoosh:
Visualization of hidden structures in corporate failure prediction using opposite pheromone per node model. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c45]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Oppositional fuzzy image thresholding. FUZZ-IEEE 2010: 1-7 - [c44]Ahmed A. Othman, Hamid R. Tizhoosh:
A Neural Approach to Image Thresholding. ICANN (1) 2010: 561-564 - [c43]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Opposition based computing - A survey. IJCNN 2010: 1-7 - [c42]Ahmed A. Othman, Hamid R. Tizhoosh:
Image thresholding using neural network. ISDA 2010: 1159-1164
2000 – 2009
- 2009
- [j18]Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel:
Oppositional target domain estimation using grid-based simulation. Appl. Soft Comput. 9(1): 423-430 (2009) - [j17]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples. J. Adv. Comput. Intell. Intell. Informatics 13(2): 115-127 (2009) - [c41]Hamid R. Tizhoosh:
Adaptive λ-enhancement: Type I versus type II fuzzy implementation. CIIP 2009: 1-7 - [c40]Farzad Khalvati, Hamid R. Tizhoosh:
An efficient architecture for hardware implementations of image processing algorithms. CIIP 2009: 20-26 - [c39]Hamid R. Tizhoosh:
Opposite Fuzzy Sets with Applications in Image Processing. IFSA/EUSFLAT Conf. 2009: 36-41 - [c38]Miguel Pagola, Edurne Barrenechea Tartas, Aranzazu Jurio, Mikel Galar, Pedro Couto, Farhang Sahba, Hamid R. Tizhoosh:
Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images. IFSA/EUSFLAT Conf. 2009: 1164-1168 - [c37]Hamid R. Tizhoosh, Farhang Sahba:
Quasi-global oppositional fuzzy thresholding. FUZZ-IEEE 2009: 1346-1351 - [c36]Farzad Khalvati, Hamid R. Tizhoosh, Arsen R. Hajian:
Increasing Computational Redundancy of Digital Images via Multiresolutional Matching. ICIAR 2009: 146-157 - [c35]Mario Ventresca, Hamid R. Tizhoosh:
Improving gradient-based learning algorithms for large scale feedforward networks. IJCNN 2009: 3212-3219 - 2008
- [j16]Maryam Shokri, Hamid R. Tizhoosh:
A reinforcement agent for threshold fusion. Appl. Soft Comput. 8(1): 174-181 (2008) - [j15]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition versus randomness in soft computing techniques. Appl. Soft Comput. 8(2): 906-918 (2008) - [j14]Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama:
Application of reinforcement learning for segmentation of transrectal ultrasound images. BMC Medical Imaging 8: 8 (2008) - [j13]Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama:
A reinforcement agent for object segmentation in ultrasound images. Expert Syst. Appl. 35(3): 772-780 (2008) - [j12]Mario Ventresca, Hamid R. Tizhoosh:
A diversity maintaining population-based incremental learning algorithm. Inf. Sci. 178(21): 4038-4056 (2008) - [j11]Hamid R. Tizhoosh:
Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics. Pattern Recognit. 41(5): 1812-1813 (2008) - [j10]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition-Based Differential Evolution. IEEE Trans. Evol. Comput. 12(1): 64-79 (2008) - [c34]Shahryar Rahnamayan, Hamid R. Tizhoosh:
Image thresholding using micro opposition-based Differential Evolution (Micro-ODE). IEEE Congress on Evolutionary Computation 2008: 1409-1416 - [c33]Kaveh Houshmand, Hamid R. Tizhoosh:
Filtering and fusion of THz images for defect detection in composite materials. FUZZ-IEEE 2008: 1301-1305 - [c32]Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel:
Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments. IJCNN 2008: 2915-2921 - [c31]Mario Ventresca, Hamid R. Tizhoosh:
Numerical condition of feedforward networks with opposite transfer functions. IJCNN 2008: 3233-3240 - [p9]Hamid R. Tizhoosh, Mario Ventresca:
Introduction. Oppositional Concepts in Computational Intelligence 2008: 1-8 - [p8]Hamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan:
Opposition-Based Computing. Oppositional Concepts in Computational Intelligence 2008: 11-28 - [p7]Shahryar Rahnamayan, Hamid R. Tizhoosh:
Differential Evolution Via Exploiting Opposite Populations. Oppositional Concepts in Computational Intelligence 2008: 143-160 - [p6]Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel:
The Concept of Opposition and Its Use in Q-Learning and Q(lambda) Techniques. Oppositional Concepts in Computational Intelligence 2008: 233-253 - [p5]Mario Ventresca, Hamid R. Tizhoosh:
Two Frameworks for Improving Gradient-Based Learning Algorithms. Oppositional Concepts in Computational Intelligence 2008: 255-284 - [p4]Farhang Sahba, Hamid R. Tizhoosh:
Opposite Actions in Reinforced Image Segmentation. Oppositional Concepts in Computational Intelligence 2008: 287-297 - [p3]Masoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam:
Opposition Mining in Reservoir Management. Oppositional Concepts in Computational Intelligence 2008: 299-321 - [p2]Hamid R. Tizhoosh:
Type II Fuzzy Image Segmentation. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 607-619 - [e1]Hamid R. Tizhoosh, Mario Ventresca:
Oppositional Concepts in Computational Intelligence. Studies in Computational Intelligence 155, Springer 2008, ISBN 978-3-540-70826-1 [contents] - 2007
- [j9]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
A novel population initialization method for accelerating evolutionary algorithms. Comput. Math. Appl. 53(10): 1605-1614 (2007) - [j8]Andrew Hamilton-Wright, Daniel W. Stashuk, Hamid R. Tizhoosh:
Fuzzy Classification Using Pattern Discovery. IEEE Trans. Fuzzy Syst. 15(5): 772-783 (2007) - [c30]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Quasi-oppositional Differential Evolution. IEEE Congress on Evolutionary Computation 2007: 2229-2236 - [c29]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate. FOCI 2007: 81-88 - [c28]Mario Ventresca, Hamid R. Tizhoosh:
Simulated Annealing with Opposite Neighbors. FOCI 2007: 186-192 - [c27]Mario Ventresca, Hamid R. Tizhoosh:
Opposite Transfer Functions and Backpropagation Through Time. FOCI 2007: 570-577 - [c26]Xianghai Wu, Jonathan Kofman, Hamid R. Tizhoosh:
Active exploratory q-learning for large problems. SMC 2007: 4040-4045 - [c25]Alice R. Malisia, Hamid R. Tizhoosh:
Applying Opposition-Based Ideas to the Ant Colony System. SIS 2007: 182-189 - 2006
- [j7]Hamid R. Tizhoosh, Graham W. Taylor:
Reinforced Contrast Adaptation. Int. J. Image Graph. 6(3): 377-392 (2006) - [j6]Hamid R. Tizhoosh:
Opposition-Based Reinforcement Learning. J. Adv. Comput. Intell. Intell. Informatics 10(4): 578-585 (2006) - [j5]Jialin Song, Hamid R. Tizhoosh:
Fuzzy anisotropic diffusion based on edge detection. J. Intell. Fuzzy Syst. 17(5): 431-442 (2006) - [j4]Hamid R. Tizhoosh, Rozita A. Dara:
On poem recognition. Pattern Anal. Appl. 9(4): 325-338 (2006) - [c24]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition-Based Differential Evolution for Optimization of Noisy Problems. IEEE Congress on Evolutionary Computation 2006: 1865-1872 - [c23]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition-Based Differential Evolution Algorithms. IEEE Congress on Evolutionary Computation 2006: 2010-2017 - [c22]Alice R. Malisia, Hamid R. Tizhoosh:
Image Thresholding Using Ant Colony Optimization. CRV 2006: 26 - [c21]Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama:
Increasing Object Recognition Rate using Reinforced Segmentation. ICIP 2006: 781-784 - [c20]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Weighted Voting-Based Robust Image Thresholding. ICIP 2006: 1129-1132 - [c19]Alice R. Malisia, Hamid R. Tizhoosh:
Applying Ant Colony Optimization to Binary Thresholding. ICIP 2006: 2409-2412 - [c18]Ehsan Mohammadi Arvacheh, Hamid R. Tizhoosh:
IRIS Segmentation: Detecting Pupil, Limbus and Eyelids. ICIP 2006: 2453-2456 - [c17]Maryam Shokri, Hamid R. Tizhoosh, Mohamed Kamel:
Opposition-Based Q(lambda) Algorithm. IJCNN 2006: 254-261 - [c16]Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama:
A Reinforcement Learning Framework for Medical Image Segmentation. IJCNN 2006: 511-517 - [c15]Mario Ventresca, Hamid R. Tizhoosh:
Improving the Convergence of Backpropagation by Opposite Transfer Functions. IJCNN 2006: 4777-4784 - [c14]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Image Thresholding Using Differential Evolution. IPCV 2006: 244-249 - 2005
- [j3]Hamid R. Tizhoosh:
Image thresholding using type II fuzzy sets. Pattern Recognit. 38(12): 2363-2372 (2005) - [c13]Hamid R. Tizhoosh:
Opposition-Based Learning: A New Scheme for Machine Intelligence. CIMCA/IAWTIC 2005: 695-701 - [c12]Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama:
Using Reinforcement Learning for Filter Fusion in Image Enhancement. Computational Intelligence 2005: 262-266 - [c11]P. Ensafi, Hamid R. Tizhoosh:
Type-2 Fuzzy Image Enhancement. ICIAR 2005: 159-166 - [c10]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images. ICIAR 2005: 930-937 - [c9]Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama:
Segmentation of prostate boundaries using regional contrast enhancement. ICIP (2) 2005: 1266-1269 - 2004
- [c8]Maryam Shokri, Hamid R. Tizhoosh:
Q(lambda)-Based Image Thresholding. CRV 2004: 504-508 - 2002
- [c7]Hamid R. Tizhoosh:
Observer-dependent sharpening. ICIP (1) 2002: 816-819 - 2001
- [j2]Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis:
Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system. Image Vis. Comput. 19(4): 217-233 (2001) - [c6]Hamid R. Tizhoosh:
Invited talk: Observer-dependent Image Enhancement. FUZZ-IEEE 2001: 23-26 - 2000
- [b2]Hamid R. Tizhoosh:
Bildverbesserung mit Rücksicht auf das subjektive Expertenwissen unter besonderer Verwendung von Fuzzy-Ansätzen. Otto-von-Guericke University Magdeburg, Germany, 2000, pp. 1-174 - [p1]Horst Haußecker, Hamid R. Tizhoosh:
Fuzzy Image Processing. Computer Vision and Applications 2000: 541-576
1990 – 1999
- 1998
- [j1]Gerald Krell, Hamid R. Tizhoosh, Tilo Lilienblum, C. J. Moore, Bernd Michaelis:
Enhancement and associative restoration of electronic portal images in radiotherapy. Int. J. Medical Informatics 49(2): 157-171 (1998) - [c5]Hamid R. Tizhoosh:
Über Binarisierung und Potentiale der Fuzzy-Ansätze. GI Jahrestagung 1998: 97-106 - 1997
- [b1]Hamid R. Tizhoosh:
Fuzzy-Bildverarbeitung - Einführung in Theorie und Praxis. Springer 1997, ISBN 978-3-540-63137-8, pp. I-XIII, 1-242 - [c4]Gerald Krell, Hamid R. Tizhoosh, Tilo Lilienblum, C. J. Moore, Bernd Michaelis:
Enhancement and associative restoration of electronic portal images in radiotherapy. CBMS 1997: 104-108 - [c3]Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis:
Locally Adaptive Fuzzy Image Enhancement. Fuzzy Days 1997: 272-276 - [c2]Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis:
Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images. ICIP (2) 1997: 398-401 - [c1]Gerald Krell, Hamid R. Tizhoosh, Tilo Lilienblum, C. J. Moore, Bernd Michaelis:
Fuzzy image enhancement and associative feature matching in radiotherapy. ICNN 1997: 1490-1495
Coauthor Index
[j45] [j42] [c135] [c134] [c133] [c131] [i85] [i84] [i83] [j38] [c128] [c127] [i72] [i71] [j37] [c125] [c124] [c122] [c120] [c117] [i68] [i64] [j36] [j34] [c116] [c114] [c110] [c102] [c100] [i56] [i54] [i50] [i49] [i48] [j32] [c98] [c97] [c94] [i46] [i45] [i40] [i38] [j31] [j30] [j28] [c90] [c88] [i35] [i32] [c85] [c84] [c83] [c82] [c81] [c79] [i31] [i29] [i23] [i22] [i21]
[j47] [i95] [j46] [j43] [c132] [c130] [i88] [i86] [i82] [j41] [c129] [i74] [c118] [i67] [c116] [c109] [c108] [i49] [c93] [j27] [c84] [c77] [c76] [i29] [i28] [i25] [j26] [c75] [c74] [c72] [i19] [i13] [i10] [c62] [i7] [i1] [j23] [c57] [c56] [c51] [j20] [c45] [c43] [j17] [j15] [j10] [c34] [p8] [p7] [j9] [c30] [c29] [c24] [c23] [c20] [c14] [c10]
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