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Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem

Jul 10, 2020
Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, H. R. Tizhoosh

* The first two authors contributed equally to this work 

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Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches

Jul 04, 2020
Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, H. R. Tizhoosh

* The first two authors contributed equally to this work 

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A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images

Jun 08, 2020
Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaei, H. R. Tizhoosh

* Accepted at International Joint Conference on Neural Networks (IJCNN), 2020 

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Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study

May 10, 2020
Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, H. R. Tizhoosh

* Accepted for presentation at the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20) 

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Recognizing Magnification Levels in Microscopic Snapshots

May 07, 2020
Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damskinos, Hany Kashani, H. R. Tizhoosh

* 4 pages, 3 figures, 1 table 

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Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks

Apr 05, 2020
Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, H. R. Tizhoosh, Fakhri Karray, Mark Crowley

* Accepted (to appear) in International Joint Conference on Neural Networks (IJCNN) 2020, IEEE, in IEEE World Congress on Computational Intelligence (WCCI) 2020 

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Weighted Fisher Discriminant Analysis in the Input and Feature Spaces

Apr 04, 2020
Benyamin Ghojogh, Milad Sikaroudi, H. R. Tizhoosh, Fakhri Karray, Mark Crowley

* Accepted (to appear) in International Conference on Image Analysis and Recognition (ICIAR) 2020, Springer 

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Yottixel -- An Image Search Engine for Large Archives of Histopathology Whole Slide Images

Nov 20, 2019
S. Kalra, C. Choi, S. Shah, L. Pantanowitz, H. R. Tizhoosh


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Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence

Nov 20, 2019
Shivam Kalra, H. R. Tizhoosh, Sultaan Shah, Charles Choi, Savvas Damaskinos, Amir Safarpoor, Sobhan Shafiei, Morteza Babaie, Phedias Diamandis, Clinton JV Campbell, Liron Pantanowitz


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Subtractive Perceptrons for Learning Images: A Preliminary Report

Sep 15, 2019
H. R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie

* To appear in the 9th Intern. Conf. on Image Processing Theory, Tools and Applications (IPTA 2019), Istanbul, Turkey 

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Atrial Fibrillation Detection Using Deep Features and Convolutional Networks

Mar 28, 2019
Sara Ross-Howe, H. R. Tizhoosh

* Accepted for publication in the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2019) 

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Patch Clustering for Representation of Histopathology Images

Mar 17, 2019
Wafa Chenni, Habib Herbi, Morteza Babaie, H. R. Tizhoosh

* Accepted for publication in the 15th European Congress on Digital Pathology (ECDP 2019), University of Warwick, UK 

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Deep Features for Tissue-Fold Detection in Histopathology Images

Mar 17, 2019
Morteza Babaie, H. R. Tizhoosh

* Accepted for publication in the 15th European Congress on Digital Pathology (ECDP 2019), University of Warwick, UK 

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Projectron -- A Shallow and Interpretable Network for Classifying Medical Images

Mar 15, 2019
Aditya Sriram, Shivam Kalra, H. R. Tizhoosh

* Accepted for publication in the 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary 

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Facial Recognition with Encoded Local Projections

Sep 11, 2018
Dhruv Sharma, Sarim Zafar, Morteza Babaie, H. R. Tizhoosh

* To be published at the 2018 IEEE Symp. Series on Comp. Intelligence (IEEE SSCI 2018), 18-21 NOV, 2018, BENGALURU, INDIA 

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Auto-Detection of Safety Issues in Baby Products

Jul 21, 2018
Graham Bleaney, Matthew Kuzyk, Julian Man, Hossein Mayanloo, H. R. Tizhoosh

* To appear in proceedings of The 31st IEA-AIE 2018, June 25-28, 2018, Montreal, Canada 

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The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation

Apr 30, 2018
Sara Ross-Howe, H. R. Tizhoosh

* Accepted for publication in proceedings of the IEEE World Congress on Computational Intelligence (IEEE WCCI), Rio de Janeiro, Brazil, 8-3 July, 2018 

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Local Radon Descriptors for Image Search

Oct 11, 2017
Morteza Babaie, H. R. Tizhoosh, Amin Khatami, M. E. Shiri

* To appear in proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications (IPTA 2017), Nov 28-Dec 1, Montreal, Canada 

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Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks

Oct 11, 2017
Brady Kieffer, Morteza Babaie, Shivam Kalra, H. R. Tizhoosh

* To appear in proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications (IPTA 2017), Nov 28-Dec 1, Montreal, Canada 

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Fast Barcode Retrieval for Consensus Contouring

Sep 28, 2017
H. R. Tizhoosh, G. J. Czarnota

* Images used in this paper are available to the public: http://kimia.uwaterloo.ca/ 

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A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images

Sep 27, 2017
Meghana Dinesh Kumar, Morteza Babaie, Shujin Zhu, Shivam Kalra, H. R. Tizhoosh

* To appear in proceedings of The IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Honolulu, Hawaii, USA, Nov. 27 -- Dec 1, 2017 

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Combining Real-Valued and Binary Gabor-Radon Features for Classification and Search in Medical Imaging Archives

Sep 27, 2017
Hamed Erfankhah, Mehran Yazdi, H. R. Tizhoosh

* To appear in proceedings of The IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Honolulu, Hawaii, USA, Nov. 27 -- Dec 1, 2017 

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Skin Lesion Segmentation: U-Nets versus Clustering

Sep 27, 2017
Bill S. Lin, Kevin Michael, Shivam Kalra, H. R. Tizhoosh

* To appear in proceedings of The IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Honolulu, Hawaii, USA, Nov. 27 -- Dec 1, 2017 

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Learning Autoencoded Radon Projections

Sep 27, 2017
Aditya Sriram, Shivam Kalra, H. R. Tizhoosh, Shahryar Rahnamayan

* To appear in proceedings of The IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Honolulu, Hawaii, USA, Nov. 27 -- Dec 1, 2017 

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Classification and Retrieval of Digital Pathology Scans: A New Dataset

May 22, 2017
Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, H. R. Tizhoosh

* Accepted for presentation at Workshop for Computer Vision for Microscopy Image Analysis (CVMI 2017) @ CVPR 2017, Honolulu, Hawaii 

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Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections

Jan 02, 2017
Morteza Babaie, H. R. Tizhoosh, Shujin Zhu, M. E. Shiri

* Accepted for publication in ICPRAM 2017: The International Conference on Pattern Recognition Applications and Methods, Porto, Portugal, 2017 

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Stacked Autoencoders for Medical Image Search

Oct 02, 2016
S. Sharma, I. Umar, L. Ospina, D. Wong, H. R. Tizhoosh

* To appear in proceedings of the 12th International Symposium on Visual Computing, December 12-14, 2016, Las Vegas, Nevada, USA 

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MinMax Radon Barcodes for Medical Image Retrieval

Oct 02, 2016
H. R. Tizhoosh, Shujin Zhu, Hanson Lo, Varun Chaudhari, Tahmid Mehdi

* To appear in proceedings of the 12th International Symposium on Visual Computing, December 12-14, 2016, Las Vegas, Nevada, USA 

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Learning Opposites Using Neural Networks

Sep 16, 2016
Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, H. R. Tizhoosh

* To appear in proceedings of the 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, December 2016 

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Radon-Gabor Barcodes for Medical Image Retrieval

Sep 16, 2016
Mina Nouredanesh, H. R. Tizhoosh, Ershad Banijamali, James Tung

* To appear in proceedings of the 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, December 2016 

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