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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)- [i93]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) - [i92]Hamid R. Tizhoosh, Liron Pantanowitz:
On Image Search in Histopathology. CoRR abs/2401.08699 (2024) - [i91]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) - [i90]Hamid R. Tizhoosh:
Foundation Models and Information Retrieval in Digital Pathology. CoRR abs/2403.12090 (2024) - [i89]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) - 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) - [c134]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 - [c133]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 - [c132]Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez, Hamid R. Tizhoosh:
Immunohistochemistry Biomarkers-Guided Image Search for Histopathology. EMBC 2023: 1-5 - [c131]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 - [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 - [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]