Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images von Kalra, Shivam, Tizhoosh, H.R., Choi, Charles, Shah, Sultaan, Diamandis, Phedias, Campbell, Clinton J.V., Pantanowitz, Liron

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Bias reduction in representation of histopathology images using deep feature selection von Asilian Bidgoli, Azam, Rahnamayan, Shahryar, Dehkharghanian, Taher, Grami, Ali, Tizhoosh, H.R.

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A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval von Khatami, Amin, Babaie, Morteza, Tizhoosh, H.R., Khosravi, Abbas, Nguyen, Thanh, Nahavandi, Saeid

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Opposition-Based Differential Evolution von Rahnamayan, S., Tizhoosh, H.R., Salama, M.M.A.

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On image search in histopathology von Tizhoosh, H.R., Pantanowitz, Liron

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A self-supervised contrastive learning approach for whole slide image representation in digital pathology von Fashi, Parsa Ashrafi, Hemati, Sobhan, Babaie, Morteza, Gonzalez, Ricardo, Tizhoosh, H.R.

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Cell projection plots: A novel visualization of bone marrow aspirate cytology von Dehkharghanian, Taher, Mu, Youqing, Ross, Catherine, Sur, Monalisa, Tizhoosh, H.R., Campbell, Clinton J.V.

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Foundation Models for Histopathology—Fanfare or Flair von Alfasly, Saghir, Nejat, Peyman, Hemati, Sobhan, Khan, Jibran, Lahr, Isaiah, Alsaafin, Areej, Shafique, Abubakr, Comfere, Nneka, Murphree, Dennis, Meroueh, Chady, Yasir, Saba, Mangold, Aaron, Boardman, Lisa, Shah, Vijay H., Garcia, Joaquin J., Tizhoosh, H.R.

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Opposition-Based Learning: A New Scheme for Machine Intelligence von Tizhoosh, H.R.

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Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides von Riasatian, Abtin, Babaie, Morteza, Maleki, Danial, Kalra, Shivam, Valipour, Mojtaba, Hemati, Sobhan, Zaveri, Manit, Safarpoor, Amir, Shafiei, Sobhan, Afshari, Mehdi, Rasoolijaberi, Maral, Sikaroudi, Milad, Adnan, Mohd, Shah, Sultaan, Choi, Charles, Damaskinos, Savvas, Campbell, Clinton JV, Diamandis, Phedias, Pantanowitz, Liron, Kashani, Hany, Ghodsi, Ali, Tizhoosh, H.R.

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Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images von Maryam Hosseini, S., Sikaroudi, Milad, Babaie, Morteza, Tizhoosh, H.R.

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Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search von Hemati, Sobhan, Kalra, Shivam, Babaie, Morteza, Tizhoosh, H.R.

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Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing von Hemati, Sobhan, Tizhoosh, H.R.

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Ranking loss and sequestering learning for reducing image search bias in histopathology von Mazaheri, Pooria, Bidgoli, Azam Asilian, Rahnamayan, Shahryar, Tizhoosh, H.R.

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Parallel deep solutions for image retrieval from imbalanced medical imaging archives von Khatami, Amin, Babaie, Morteza, Khosravi, Abbas, Tizhoosh, H.R., Nahavandi, Saeid

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Comparison of risk-based optimization models for reservoir management von Mahootchi, M, Ponnambalam, K, Tizhoosh, H.R

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Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images von Zaman Farsa, Davood, Rahnamayan, Shahryar, Asilian Bidgoli, Azam, Tizhoosh, H.R.

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Fuzzy Classification Using Pattern Discovery von Hamilton-Wright, A., Stashuk, D.W., Tizhoosh, H.R.

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Whole slide image representation in bone marrow cytology von Mu, Youqing, Tizhoosh, H.R., Dehkharghanian, Taher, Campbell, Clinton J.V.

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Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology von Bidgoli, Azam Asilian, Rahnamayan, Shahryar, Dehkharghanian, Taher, Riasatian, Abtin, Kalra, Shivam, Zaveri, Manit, Campbell, Clinton J.V., Parwani, Anil, Pantanowitz, Liron, Tizhoosh, H.R.

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