| 2024 | CVPR | Rotation-Agnostic Image Representation Learning for Digital Pathology. | Saghir Alfasly, Abubakr Shafique, Peyman Nejat, Jibran A. Khan, Areej Alsaafin, Ghazal Alabtah, Hamid R. Tizhoosh |
| 2022 | MICCAI | Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images. | Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh |
| 2021 | BIBE | Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images. | Seyedeh Maryam Hosseini, Morteza Babaie, Hamid R. Tizhoosh |
| 2021 | ICIP | A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. | Sobhan Hemati, Mohammad Hadi Mehdizavareh, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh |
| 2021 | MICCAI | Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. | Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh |
| 2020 | AIME | A New Local Radon Descriptor for Content-Based Image Search. | Morteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh |
| 2020 | AIME | Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. | Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh |
| 2020 | AIME | Searching for Pneumothorax in Half a Million Chest X-Ray Images. | Antonio Sze-To, Hamid R. Tizhoosh |
| 2020 | CVPR | Representation Learning of Histopathology Images using Graph Neural Networks. | Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh |
| 2020 | ECCV | Learning Permutation Invariant Representations Using Memory Networks. | Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh |
| 2020 | IJCNN | Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. | Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley |
| 2020 | ICPR | Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. | Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh |
| 2020 | IJCNN | A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images. | Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaie, Hamid R. Tizhoosh |
| 2020 | ICTAI | Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images. | Manit Zaveri, Sobhan Hemati, Sultaan Shah, Savvas Damaskinos, Hamid R. Tizhoosh |
| 2020 | ISVC | Ink Marker Segmentation in Histopathology Images Using Deep Learning. | Danial Maleki, Mehdi Afshari, Morteza Babaie, Hamid R. Tizhoosh |
| 2020 | ISVC | Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. | Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh |
| 2019 | IJCNN | Projectron - A Shallow and Interpretable Network for Classifying Medical Images. | Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh |
| 2018 | IJCNN | Comparing LBP, HOG and Deep Features for Classification of Histopathology Images. | Taha J. Alhindi, Shivam Kalra, Ka Hin Ng, Anika Afrin, Hamid R. Tizhoosh |
| 2018 | IJCNN | Deep Barcodes for Fast Retrieval of Histopathology Scans. | Meghana Dinesh Kumar, Morteza Babaie, Hamid R. Tizhoosh |
| 2018 | IJCNN | The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation. | Sara Ross-Howe, Hamid R. Tizhoosh |
| 2017 | CVPR | Classification and Retrieval of Digital Pathology Scans: A New Dataset. | Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh |
| 2017 | ICPRAM | Retrieving Similar X-ray Images from Big Image Data using Radon Barcodes with Single Projections. | Morteza Babaie, Hamid R. Tizhoosh, Shujin Zhu, Mohammad Ebrahim Shiri |
| 2016 | CEC | Exploration enhancement in ensemble micro-differential evolution. | Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh |
| 2016 | CEC | Evolutionary projection selection for Radon barcodes. | Hamid R. Tizhoosh, Shahryar Rahnamayan |
| 2016 | ICIP | Gabor barcodes for medical image retrieval. | Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali |
| 2016 | ICPR | Learning opposites using neural networks. | Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh |
| 2016 | ICPR | Radon-Gabor barcodes for medical image retrieval. | Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung |
| 2016 | ICPR | Barcodes for medical image retrieval using autoencoded Radon transform. | Hamid R. Tizhoosh, Christopher Mitcheltree, Shujin Zhu, Shamak Dutta |
| 2016 | IJCNN | Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform. | Xinran Liu, Hamid R. Tizhoosh, Jonathan Kofman |
| 2016 | IJCNN | Binary codes for tagging x-ray images via deep de-noising autoencoders. | Antonio Sze-To, Hamid R. Tizhoosh, Andrew K. C. Wong |
| 2016 | IJCNN | Radon features and barcodes for medical image retrieval via SVM. | Shujin Zhu, Hamid R. Tizhoosh |
| 2016 | ISVC | Stacked Autoencoders for Medical Image Search. | S. Sharma, I. Umar, L. Ospina, D. Wong, Hamid R. Tizhoosh |
| 2016 | ISVC | MinMax Radon Barcodes for Medical Image Retrieval. | Hamid R. Tizhoosh, Shujin Zhu, Hanson Lo, Varun Chaudhari, Tahmid Mehdi |
| 2015 | ICIP | Barcode annotations for medical image retrieval: A preliminary investigation. | Hamid R. Tizhoosh |
| 2015 | ICMLA | Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data. | Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati |
| 2015 | ICMLA | Self-Configuring and Evolving Fuzzy Image Thresholding. | Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati |
| 2014 | CEC | Type-II opposition-based differential evolution. | Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh |
| 2014 | CEC | Micro-differential evolution with vectorized random mutation factor. | Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh, Stephen Y. Chen |
| 2013 | IFSA | Image classification using evolving fuzzy inference systems. | Ahmed A. Othman, Hamid R. Tizhoosh |
| 2011 | ICIP | Multi-resolution level set image segmentation using wavelets. | Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan |
| 2011 | IJCNN | Neural image thresholding with SIFT-Controlled gabor features. | Ahmed A. Othman, Hamid R. Tizhoosh |
| 2010 | ACIVS | Neural Image Thresholding Using SIFT: A Comparative Study. | Ahmed A. Othman, Hamid R. Tizhoosh |
| 2010 | CEC | Visualization of hidden structures in corporate failure prediction using opposite pheromone per node model. | Soumya Banerjee, Hamid R. Tizhoosh |
| 2010 | ICANN | A Neural Approach to Image Thresholding. | Ahmed A. Othman, Hamid R. Tizhoosh |
| 2010 | IJCNN | Opposition based computing - A survey. | Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan |
| 2010 | ISDA | Image thresholding using neural network. | Ahmed A. Othman, Hamid R. Tizhoosh |
| 2009 | EUSFLAT | Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images. | Miguel Pagola, Edurne Barrenechea Tartas, Aranzazu Jurio, Mikel Galar, Pedro Couto, Farhang Sahba, Hamid R. Tizhoosh |
| 2009 | EUSFLAT | Opposite Fuzzy Sets with Applications in Image Processing. | Hamid R. Tizhoosh |
| 2009 | IJCNN | Improving gradient-based learning algorithms for large scale feedforward networks. | Mario Ventresca, Hamid R. Tizhoosh |
| 2008 | CEC | Image thresholding using micro opposition-based Differential Evolution (Micro-ODE). | Shahryar Rahnamayan, Hamid R. Tizhoosh |
| 2008 | IJCNN | Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments. | Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel |
| 2008 | IJCNN | Numerical condition of feedforward networks with opposite transfer functions. | Mario Ventresca, Hamid R. Tizhoosh |
| 2007 | CEC | Quasi-oppositional Differential Evolution. | Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama |
| 2007 | SMC | Active exploratory q-learning for large problems. | Xianghai Wu, Jonathan Kofman, Hamid R. Tizhoosh |
| 2006 | CEC | Opposition-Based Differential Evolution for Optimization of Noisy Problems. | Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama |
| 2006 | CEC | Opposition-Based Differential Evolution Algorithms. | Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama |
| 2006 | ICIP | IRIS Segmentation: Detecting Pupil, Limbus and Eyelids. | Ehsan Mohammadi Arvacheh, Hamid R. Tizhoosh |
| 2006 | ICIP | Applying Ant Colony Optimization to Binary Thresholding. | Alice R. Malisia, Hamid R. Tizhoosh |
| 2006 | ICIP | Weighted Voting-Based Robust Image Thresholding. | Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama |
| 2006 | ICIP | Increasing Object Recognition Rate using Reinforced Segmentation. | Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama |
| 2006 | IJCNN | A Reinforcement Learning Framework for Medical Image Segmentation. | Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama |
| 2006 | IJCNN | Opposition-Based Q(lambda) Algorithm. | Maryam Shokri, Hamid R. Tizhoosh, Mohamed Kamel |
| 2006 | IJCNN | Improving the Convergence of Backpropagation by Opposite Transfer Functions. | Mario Ventresca, Hamid R. Tizhoosh |
| 2005 | ICIP | Segmentation of prostate boundaries using regional contrast enhancement. | Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama |
| 2002 | ICIP | Observer-dependent sharpening. | Hamid R. Tizhoosh |
| 1998 | GI | ber Binarisierung und Potentiale der Fuzzy-Anstze. | Hamid R. Tizhoosh |
| 1997 | CBMS | Enhancement and associative restoration of electronic portal images in radiotherapy. | Gerald Krell, Hamid R. Tizhoosh, Tilo Lilienblum, C. J. Moore, Bernd Michaelis |
| 1997 | ICIP | Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images. | Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis |