Fuzzy-Bildverarbeitung - Einführung in Theorie und Praxis. - Hamid R. Tizhoosh (Springer, 1997)

Locally Adaptive Fuzzy Image Enhancement. - Hamid R. Tizhoosh; Gerald Krell; Bernd Michaelis (Fuzzy Days, 1997)

Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images. - Hamid R. Tizhoosh; Gerald Krell; Bernd Michaelis (ICIP (2), 1997)

Fuzzy image enhancement and associative feature matching in radiotherapy. - Gerald Krell; Hamid R. Tizhoosh; Tilo Lilienblum; C. J. Moore; Bernd Michaelis (ICNN, 1997)

Über Binarisierung und Potentiale der Fuzzy-Ansätze. - Hamid R. Tizhoosh (GI Jahrestagung, 1998)

Enhancement and associative restoration of electronic portal images in radiotherapy. - Gerald Krell; Hamid R. Tizhoosh; Tilo Lilienblum; C. J. Moore; Bernd Michaelis (Int. J. Medical Informatics, 1998)

Fuzzy Image Processing. - Horst Haußecker; Hamid R. Tizhoosh (Computer Vision and Applications, 2000)

Bildverbesserung mit Rücksicht auf das subjektive Expertenwissen unter besonderer Verwendung von Fuzzy-Ansätzen. - Hamid R. Tizhoosh (2000)

Invited talk: Observer-dependent Image Enhancement. - Hamid R. Tizhoosh (FUZZ-IEEE, 2001)

Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system. - Hamid R. Tizhoosh; Gerald Krell; Bernd Michaelis (Image Vis. Comput., 2001)

Observer-dependent sharpening. - Hamid R. Tizhoosh (ICIP (1), 2002)

Q(lambda)-Based Image Thresholding. - Maryam Shokri; Hamid R. Tizhoosh (CRV, 2004)

Opposition-Based Learning: A New Scheme for Machine Intelligence. - Hamid R. Tizhoosh (CIMCA/IAWTIC, 2005)

Using Reinforcement Learning for Filter Fusion in Image Enhancement. - Farhang Sahba; Hamid R. Tizhoosh; Magdy M. A. Salama (Computational Intelligence, 2005)

Type-2 Fuzzy Image Enhancement. - P. Ensafi; Hamid R. Tizhoosh (ICIAR, 2005)

Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (ICIAR, 2005)

Segmentation of prostate boundaries using regional contrast enhancement. - Farhang Sahba; Hamid R. Tizhoosh; Magdy M. A. Salama (ICIP (2), 2005)

Image thresholding using type II fuzzy sets. - Hamid R. Tizhoosh (Pattern Recognit., 2005)

Opposition-Based Differential Evolution for Optimization of Noisy Problems. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IEEE Congress on Evolutionary Computation, 2006)

Opposition-Based Differential Evolution Algorithms. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IEEE Congress on Evolutionary Computation, 2006)

Image Thresholding Using Ant Colony Optimization. - Alice R. Malisia; Hamid R. Tizhoosh (CRV, 2006)

IRIS Segmentation: Detecting Pupil, Limbus and Eyelids. - Ehsan Mohammadi Arvacheh; Hamid R. Tizhoosh (ICIP, 2006)

Applying Ant Colony Optimization to Binary Thresholding. - Alice R. Malisia; Hamid R. Tizhoosh (ICIP, 2006)

Weighted Voting-Based Robust Image Thresholding. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (ICIP, 2006)

Increasing Object Recognition Rate using Reinforced Segmentation. - Farhang Sahba; Hamid R. Tizhoosh; Magdy M. A. Salama (ICIP, 2006)

A Reinforcement Learning Framework for Medical Image Segmentation. - Farhang Sahba; Hamid R. Tizhoosh; Magdy M. A. Salama (IJCNN, 2006)

Opposition-Based Q(lambda) Algorithm. - Maryam Shokri; Hamid R. Tizhoosh; Mohamed Kamel (IJCNN, 2006)

Improving the Convergence of Backpropagation by Opposite Transfer Functions. - Mario Ventresca; Hamid R. Tizhoosh (IJCNN, 2006)

Image Thresholding Using Differential Evolution. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IPCV, 2006)

Reinforced Contrast Adaptation. - Hamid R. Tizhoosh; Graham W. Taylor (Int. J. Image Graph., 2006)

Opposition-Based Reinforcement Learning. - Hamid R. Tizhoosh (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Fuzzy anisotropic diffusion based on edge detection. - Jialin Song; Hamid R. Tizhoosh (J. Intell. Fuzzy Syst., 2006)

On poem recognition. - Hamid R. Tizhoosh; Rozita A. Dara 001 (Pattern Anal. Appl., 2006)

Quasi-oppositional Differential Evolution. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IEEE Congress on Evolutionary Computation, 2007)

Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (FOCI, 2007)

Simulated Annealing with Opposite Neighbors. - Mario Ventresca; Hamid R. Tizhoosh (FOCI, 2007)

Opposite Transfer Functions and Backpropagation Through Time. - Mario Ventresca; Hamid R. Tizhoosh (FOCI, 2007)

Active exploratory q-learning for large problems. - Xianghai Wu; Jonathan Kofman; Hamid R. Tizhoosh (SMC, 2007)

Applying Opposition-Based Ideas to the Ant Colony System. - Alice R. Malisia; Hamid R. Tizhoosh (SIS, 2007)

A novel population initialization method for accelerating evolutionary algorithms. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (Comput. Math. Appl., 2007)

Fuzzy Classification Using Pattern Discovery. - Andrew Hamilton-Wright; Daniel W. Stashuk; Hamid R. Tizhoosh (IEEE Trans. Fuzzy Syst., 2007)

Image thresholding using micro opposition-based Differential Evolution (Micro-ODE). - Shahryar Rahnamayan; Hamid R. Tizhoosh (IEEE Congress on Evolutionary Computation, 2008)

Filtering and fusion of THz images for defect detection in composite materials. - Kaveh Houshmand; Hamid R. Tizhoosh (FUZZ-IEEE, 2008)

Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments. - Maryam Shokri; Hamid R. Tizhoosh; Mohamed S. Kamel (IJCNN, 2008)

Numerical condition of feedforward networks with opposite transfer functions. - Mario Ventresca; Hamid R. Tizhoosh (IJCNN, 2008)

Opposition versus randomness in soft computing techniques. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (Appl. Soft Comput., 2008)

A reinforcement agent for threshold fusion. - Maryam Shokri; Hamid R. Tizhoosh (Appl. Soft Comput., 2008)

Application of reinforcement learning for segmentation of transrectal ultrasound images. - Farhang Sahba; Hamid R. Tizhoosh; Magdy M. A. Salama (BMC Medical Imaging, 2008)

A reinforcement agent for object segmentation in ultrasound images. - Farhang Sahba; Hamid R. Tizhoosh; Magdy M. A. Salama (Expert Syst. Appl., 2008)

A diversity maintaining population-based incremental learning algorithm. - Mario Ventresca; Hamid R. Tizhoosh (Inf. Sci., 2008)

Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics. - Hamid R. Tizhoosh (Pattern Recognit., 2008)

Opposition-Based Differential Evolution. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IEEE Trans. Evol. Comput., 2008)

Opposition Mining in Reservoir Management. - Masoud Mahootchi; Hamid R. Tizhoosh; Kumaraswamy Ponnambalam (Oppositional Concepts in Computational Intelligence, 2008)

Differential Evolution Via Exploiting Opposite Populations. - Shahryar Rahnamayan; Hamid R. Tizhoosh (Oppositional Concepts in Computational Intelligence, 2008)

Opposite Actions in Reinforced Image Segmentation. - Farhang Sahba; Hamid R. Tizhoosh (Oppositional Concepts in Computational Intelligence, 2008)

The Concept of Opposition and Its Use in Q-Learning and Q(lambda) Techniques. - Maryam Shokri; Hamid R. Tizhoosh; Mohamed S. Kamel (Oppositional Concepts in Computational Intelligence, 2008)

Introduction. - Hamid R. Tizhoosh; Mario Ventresca (Oppositional Concepts in Computational Intelligence, 2008)

Opposition-Based Computing. - Hamid R. Tizhoosh; Mario Ventresca; Shahryar Rahnamayan (Oppositional Concepts in Computational Intelligence, 2008)

Two Frameworks for Improving Gradient-Based Learning Algorithms. - Mario Ventresca; Hamid R. Tizhoosh (Oppositional Concepts in Computational Intelligence, 2008)

Type II Fuzzy Image Segmentation. - Hamid R. Tizhoosh (Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008)

An efficient architecture for hardware implementations of image processing algorithms. - Farzad Khalvati; Hamid R. Tizhoosh (CIIP, 2009)

Adaptive λ-enhancement: Type I versus type II fuzzy implementation. - Hamid R. Tizhoosh (CIIP, 2009)

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 (IFSA/EUSFLAT Conf., 2009)

Opposite Fuzzy Sets with Applications in Image Processing. - Hamid R. Tizhoosh (IFSA/EUSFLAT Conf., 2009)

Quasi-global oppositional fuzzy thresholding. - Hamid R. Tizhoosh; Farhang Sahba (FUZZ-IEEE, 2009)

Increasing Computational Redundancy of Digital Images via Multiresolutional Matching. - Farzad Khalvati; Hamid R. Tizhoosh; Arsen R. Hajian (ICIAR, 2009)

Improving gradient-based learning algorithms for large scale feedforward networks. - Mario Ventresca; Hamid R. Tizhoosh (IJCNN, 2009)

Oppositional target domain estimation using grid-based simulation. - Maryam Shokri; Hamid R. Tizhoosh; Mohamed S. Kamel (Appl. Soft Comput., 2009)

Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (J. Adv. Comput. Intell. Intell. Informatics, 2009)

Neural Image Thresholding Using SIFT: A Comparative Study. - Ahmed A. Othman; Hamid R. Tizhoosh (ACIVS (1), 2010)

Visualization of hidden structures in corporate failure prediction using opposite pheromone per node model. - Soumya Banerjee 002; Hamid R. Tizhoosh (IEEE Congress on Evolutionary Computation, 2010)

Oppositional fuzzy image thresholding. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (FUZZ-IEEE, 2010)

A Neural Approach to Image Thresholding. - Ahmed A. Othman; Hamid R. Tizhoosh (ICANN (1), 2010)

Opposition based computing - A survey. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (IJCNN, 2010)

Image thresholding using neural network. - Ahmed A. Othman; Hamid R. Tizhoosh (ISDA, 2010)

A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918]. - Mario Ventresca; Shahryar Rahnamayan; Hamid R. Tizhoosh (Appl. Soft Comput., 2010)

Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images. - Humberto Bustince Sola; Miguel Pagola; Edurne Barrenechea Tartas; Javier Fernández 002; Pedro Melo-Pinto; Pedro Couto; Hamid R. Tizhoosh; Javier Montero (Fuzzy Sets Syst., 2010)

Evolving fuzzy image segmentation. - Ahmed A. Othman; Hamid R. Tizhoosh (FUZZ-IEEE, 2011)

Multi-resolution level set image segmentation using wavelets. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (ICIP, 2011)

Cascaded Window Memoization for Medical Imaging. - Farzad Khalvati; Mehdi Kianpour; Hamid R. Tizhoosh (AIAI, 2011)

Segmentation of Breast Ultrasound Images Using Neural Networks. - Ahmed A. Othman; Hamid R. Tizhoosh (EANN, 2011)

Neural image thresholding with SIFT-Controlled gabor features. - Ahmed A. Othman; Hamid R. Tizhoosh (IJCNN, 2011)

An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the Prostate. - Samar Samir Mohamed; J. M. Li; Magdy M. A. Salama; George H. Freeman; Hamid R. Tizhoosh; Aaron Fenster; K. Rizkalla (J. Digit. Imaging, 2011)

Multi-stage intra-patient template matching for prostate detection in MR volumes. - Zeinab Jahed; Khaled B. Shaban; Hamid R. Tizhoosh (EMBC, 2013)

N-cuts parameter adjustment using evolving fuzzy inferencing. - Ahmed A. Othman; Hamid R. Tizhoosh (FUZZ-IEEE, 2013)

Image classification using evolving fuzzy inference systems. - Ahmed A. Othman; Hamid R. Tizhoosh (IFSA/NAFIPS, 2013)

Type-II opposition-based differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (IEEE Congress on Evolutionary Computation, 2014)

Micro-differential evolution with vectorized random mutation factor. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh; Stephen Y. Chen (IEEE Congress on Evolutionary Computation, 2014)

Oppositional extension of reinforcement learning techniques. - Masoud Mahootchi; Hamid R. Tizhoosh; Kumaraswamy Ponnambalam (Inf. Sci., 2014)

Multi-Resolution Level Sets with Shape Priors: A Validation Report for 2D Segmentation of Prostate Gland in T2W MR Images. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (J. Digit. Imaging, 2014)

EFIS - Evolving Fuzzy Image Segmentation. - Ahmed A. Othman; Hamid R. Tizhoosh; Farzad Khalvati (IEEE Trans. Fuzzy Syst., 2014)

Learning opposites with evolving rules. - Hamid R. Tizhoosh; Shahryar Rahnamayan (FUZZ-IEEE, 2015)

Barcode annotations for medical image retrieval: A preliminary investigation. - Hamid R. Tizhoosh (ICIP, 2015)

Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data. - Zehra Camlica; Hamid R. Tizhoosh; Farzad Khalvati (ICMLA, 2015)

Self-Configuring and Evolving Fuzzy Image Thresholding. - Ahmed A. Othman; Hamid R. Tizhoosh; Farzad Khalvati (ICMLA, 2015)

Autoencoding the retrieval relevance of medical images. - Zehra Camlica; Hamid R. Tizhoosh; Farzad Khalvati (IPTA, 2015)

Evolving Fuzzy Image Segmentation with Self-Configuration. - Ahmed A. Othman; Hamid R. Tizhoosh; Farzad Khalvati (CoRR, 2015)

Window memoization: toward high-performance image processing software. - Farzad Khalvati; Mark D. Aagaard; Hamid R. Tizhoosh (J. Real Time Image Process., 2015)

Exploration enhancement in ensemble micro-differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (CEC, 2016)

Evolutionary projection selection for Radon barcodes. - Hamid R. Tizhoosh; Shahryar Rahnamayan (CEC, 2016)

Gabor barcodes for medical image retrieval. - Mina Nouredanesh; Hamid R. Tizhoosh; Ershad Banijamali (ICIP, 2016)

Learning opposites using neural networks. - Shivam Kalra; Aditya Sriram; Shahryar Rahnamayan; Hamid R. Tizhoosh (ICPR, 2016)

Radon-Gabor barcodes for medical image retrieval. - Mina Nouredanesh; Hamid R. Tizhoosh; Ershad Banijamali; James Tung (ICPR, 2016)

Barcodes for medical image retrieval using autoencoded Radon transform. - Hamid R. Tizhoosh; Christopher Mitcheltree; Shujin Zhu; Shamak Dutta (ICPR, 2016)

Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform. - Xinran Liu; Hamid R. Tizhoosh; Jonathan Kofman (IJCNN, 2016)

Binary codes for tagging x-ray images via deep de-noising autoencoders. - Antonio Sze-To; Hamid R. Tizhoosh; Andrew K. C. Wong (IJCNN, 2016)

Radon features and barcodes for medical image retrieval via SVM. - Shujin Zhu; Hamid R. Tizhoosh (IJCNN, 2016)

Tumour ROI estimation in ultrasound images via radon barcodes in patients with locally advanced breast cancer. - Hamid R. Tizhoosh; Mehrdad J. Gangeh; Hadi Tadayyon; Gregory J. Czarnota (ISBI, 2016)

Stacked Autoencoders for Medical Image Search. - S. Sharma; I. Umar; L. Ospina; D. Wong; Hamid R. Tizhoosh (ISVC (1), 2016)

MinMax Radon Barcodes for Medical Image Retrieval. - Hamid R. Tizhoosh; Shujin Zhu; Hanson Lo; Varun Chaudhari; Tahmid Mehdi (ISVC (1), 2016)

Anatomy-aware measurement of segmentation accuracy. - Hamid R. Tizhoosh; Ahmed A. Othman (Image Processing, 2016)

Automated Resolution Selection for Image Segmentation. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (CoRR, 2016)

Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes. - Farzad Khalvati; Aryan Salmanpour; Shahryar Rahnamayan; Masoom A. Haider; Hamid R. Tizhoosh (J. Digit. Imaging, 2016)

Tumour ellipsification in ultrasound images for treatment prediction in breast cancer. - Mehrdad J. Gangeh; Hamid R. Tizhoosh; Kan Wu; Dun Huang; Hadi Tadayyon; Gregory J. Czarnota (BHI, 2017)

A deep-structural medical image classification for a Radon-based image retrieval. - Amin Khatami; Morteza Babaie; Abbas Khosravi; Hamid R. Tizhoosh; Syed Moshfeq Salaken; Saeid Nahavandi (CCECE, 2017)

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 (CVPR Workshops, 2017)

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 (ICPRAM, 2017)

Local radon descriptors for image search. - Morteza Babaie; Hamid R. Tizhoosh; Amin Khatami; Mohammad Ebrahim Shiri (IPTA, 2017)

Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks. - Brady Kieffer; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (IPTA, 2017)

Combining real-valued and binary Gabor-Radon features for classification and search in medical imaging archives. - Hamed Erfankhah; Mehran Yazdi; Hamid R. Tizhoosh (SSCI, 2017)

A comparative study of CNN, BoVW and LBP for classification of histopathological images. - Meghana Dinesh Kumar; Morteza Babaie; Shujin Zhu; Shivam Kalra; Hamid R. Tizhoosh (SSCI, 2017)

Skin lesion segmentation: U-Nets versus clustering. - Bill S. Lin; Kevin Michael; Shivam Kalra; Hamid R. Tizhoosh (SSCI, 2017)

Opposition-based ensemble micro-differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (SSCI, 2017)

Learning autoencoded radon projections. - Aditya Sriram; Shivam Kalra; Hamid R. Tizhoosh; Shahryar Rahnamayan (SSCI, 2017)

Micro-differential evolution: Diversity enhancement and a comparative study. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (Appl. Soft Comput., 2017)

Fast Barcode Retrieval for Consensus Contouring. - Hamid R. Tizhoosh; Gregory J. Czarnota (CoRR, 2017)

CenDE: Centroid-Based Differential Evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (CCECE, 2018)

Auto-detection of Safety Issues in Baby Products. - Graham Bleaney; Matthew Kuzyk; Julian Man; Hossein Mayanloo; Hamid R. Tizhoosh (IEA/AIE, 2018)

Comparing LBP, HOG and Deep Features for Classification of Histopathology Images. - Taha J. Alhindi; Shivam Kalra; Ka Hin Ng; Anika Afrin; Hamid R. Tizhoosh (IJCNN, 2018)

Deep Barcodes for Fast Retrieval of Histopathology Scans. - Meghana Dinesh Kumar; Morteza Babaie; Hamid R. Tizhoosh (IJCNN, 2018)

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 (IJCNN, 2018)

A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. - Aravind Ravi; Harshwin Venugopal; Sruthy Paul; Hamid R. Tizhoosh (SSCI, 2018)

Facial Recognition with Encoded Local Projections. - Dhruv Sharma; Sarim Zafar; Morteza Babaie; Hamid R. Tizhoosh (SSCI, 2018)

Parallel deep solutions for image retrieval from imbalanced medical imaging archives. - Amin Khatami; Morteza Babaie; Abbas Khosravi; Hamid R. Tizhoosh; Saeid Nahavandi (Appl. Soft Comput., 2018)

A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval. - Amin Khatami; Morteza Babaie; Hamid R. Tizhoosh; Abbas Khosravi; Thanh Nguyen 004; Saeid Nahavandi (Expert Syst. Appl., 2018)

Multiple disjoint dictionaries for representation of histopathology images. - Shujin Zhu; Yuehua Li; Shivam Kalra; Hamid R. Tizhoosh (J. Vis. Commun. Image Represent., 2018)

Representing Medical Images With Encoded Local Projections. - Hamid R. Tizhoosh; Morteza Babaie (IEEE Trans. Biomed. Eng., 2018)

Atrial Fibrillation Detection Using Deep Features and Convolutional Networks. - Sara Ross-Howe; Hamid R. Tizhoosh (BHI, 2019)

Deep Features for Tissue-Fold Detection in Histopathology Images. - Morteza Babaie; Hamid R. Tizhoosh (ECDP, 2019)

Patch Clustering for Representation of Histopathology Images. - Wafa Chenni; Habib Herbi; Morteza Babaie; Hamid R. Tizhoosh (ECDP, 2019)

A Compact Representation of Histopathology Images Using Digital Stain Separation and Frequency-Based Encoded Local Projections. - Alison K. Cheeseman; Hamid R. Tizhoosh; Edward R. Vrscay (ICIAR (2), 2019)

Projectron - A Shallow and Interpretable Network for Classifying Medical Images. - Aditya Sriram; Shivam Kalra; Hamid R. Tizhoosh (IJCNN, 2019)

Subtractive Perceptrons for Learning Images: A Preliminary Report. - Hamid R. Tizhoosh; Shivam Kalra; Shalev Lifshitz; Morteza Babaie (IPTA, 2019)

Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images. - Hamed Erfankhah; Mehran Yazdi; Morteza Babaie; Hamid R. Tizhoosh (IEEE Access, 2019)

Automatic Classification of Pathology Reports using TF-IDF Features. - Shivam Kalra; Larry Li; Hamid R. Tizhoosh (CoRR, 2019)

A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections. - Alison K. Cheeseman; Hamid R. Tizhoosh; Edward R. Vrscay (CoRR, 2019)

Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. - Shivam Kalra; Charles Choi; Sultaan Shah; Liron Pantanowitz; Hamid R. Tizhoosh (CoRR, 2019)

A New Local Radon Descriptor for Content-Based Image Search. - Morteza Babaie; Hany Kashani; Meghana Dinesh Kumar; Hamid R. Tizhoosh (AIME, 2020)

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 (AIME, 2020)

Searching for Pneumothorax in Half a Million Chest X-Ray Images. - Antonio Sze-To; Hamid R. Tizhoosh (AIME, 2020)

Representation Learning of Histopathology Images using Graph Neural Networks. - Mohammed Adnan; Shivam Kalra; Hamid R. Tizhoosh (CVPR Workshops, 2020)

Learning Permutation Invariant Representations Using Memory Networks. - Shivam Kalra; Mohammed Adnan; Graham W. Taylor; Hamid R. Tizhoosh (ECCV (29), 2020)

Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset. - Taher Dehkharghanian; Shahryar Rahnamayan; Hamid R. Tizhoosh (EMBC, 2020)

Classifying Pneumonia among Chest X-Rays Using Transfer Learning. - Abdullah Irfan; Akash L. Adivishnu; Antonio Sze-To; Taher Dehkharghanian; Shahryar Rahnamayan; Hamid R. Tizhoosh (EMBC, 2020)

Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. - Milad Sikaroudi; Amir Safarpoor; Benyamin Ghojogh; Sobhan Shafiei; Mark Crowley 001; Hamid R. Tizhoosh (EMBC, 2020)

Recognizing Magnification Levels in Microscopic Snapshots. - Manit Zaveri; Shivam Kalra; Morteza Babaie; Sultaan Shah; Savvas Damaskinos; Hany Kashani; Hamid R. Tizhoosh (EMBC, 2020)

Studying the Effect of Digital Stain Separation of Histopathology Images on Image Search Performance. - Alison K. Cheeseman; Hamid R. Tizhoosh; Edward R. Vrscay (ICIAR (2), 2020)

Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. - Benyamin Ghojogh; Milad Sikaroudi; Hamid R. Tizhoosh; Fakhri Karray; Mark Crowley 001 (ICIAR (2), 2020)

Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. - Milad Sikaroudi; Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ICPR, 2020)

Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images. - Manit Zaveri; Sobhan Hemati; Sultaan Shah; Savvas Damaskinos; Hamid R. Tizhoosh (ICTAI, 2020)

Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. - Benyamin Ghojogh; Milad Sikaroudi; Sobhan Shafiei; Hamid R. Tizhoosh; Fakhri Karray; Mark Crowley 001 (IJCNN, 2020)

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images. - Abtin Riasatian; Maral Rasoolijaberi; Morteza Babaie; Hamid R. Tizhoosh (IJCNN, 2020)

Ink Marker Segmentation in Histopathology Images Using Deep Learning. - Danial Maleki; Mehdi Afshari; Morteza Babaie; Hamid R. Tizhoosh (ISVC (1), 2020)

Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. - Milad Sikaroudi; Benyamin Ghojogh; Amir Safarpoor; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ISVC (1), 2020)

Class-Aware Image Search for Interpretable Cancer Identification. - Arash Ebrahimian; Hossein Mohammadi; Morteza Babaie; Nima Maftoon; Hamid R. Tizhoosh (IEEE Access, 2020)

Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. - Shivam Kalra; Hamid R. Tizhoosh; Charles Choi; Sultaan Shah; Phedias Diamandis; Clinton J. V. Campbell; Liron Pantanowitz (Medical Image Anal., 2020)

Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence. - 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 (npj Digit. Medicine, 2020)

Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model. - Sobhan Shafiei; Amir Safarpoor; Ahad Jamalizadeh; Hamid R. Tizhoosh (IEEE Trans. Medical Imaging, 2020)

Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images. - Seyedeh Maryam Hosseini; Morteza Babaie; Hamid R. Tizhoosh (BIBE, 2021)

A Similarity Measure of Histopathology Images by Deep Embeddings. - Mehdi Afshari; Hamid R. Tizhoosh (EMBC, 2021)

Analysis of Language Embeddings for Classification of Unstructured Pathology Reports. - Aishwarya Krishna Allada; Yuanxin Wang 001; Veni Jindal; Morteza Babaie; Hamid R. Tizhoosh; Mark Crowley 001 (EMBC, 2021)

Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks. - Nitish Bhatt; David Ramon Prados; Nedim Hodzic; Christos Karanassios; Hamid R. Tizhoosh (EMBC, 2021)

Automatic Multi-Stain Registration of Whole Slide Images in Histopathology. - Abubakr Shafique; Morteza Babaie; Mahjabin Sajadi; Adrian Batten; Soma Skdar; Hamid R. Tizhoosh (EMBC, 2021)

A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. - Sobhan Hemati; Mohammad Hadi Mehdizavareh; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (ICIP, 2021)

Magnification Generalization For Histopathology Image Embedding. - Milad Sikaroudi; Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ISBI, 2021)

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 (MICCAI (8), 2021)

CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. - Sobhan Hemati; Shivam Kalra; Cameron Meaney; Morteza Babaie; Ali Ghodsi 001; Hamid R. Tizhoosh (MIDL, 2021)

Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features. - Antonio Sze-To; Abtin Riasatian; Hamid R. Tizhoosh (CoRR, 2021)

Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings. - Sobhan Shafiei; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (CoRR, 2021)

Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology. - Rohollah Moosavi Tayebi; Youqing Mu; Taher Dehkharghanian; Catherine Ross; Monalisa Sur; Ronan Foley; Hamid R. Tizhoosh; Clinton J. V. Campbell (CoRR, 2021)

ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. - Shivam Kalra; Junfeng Wen; Jesse C. Cresswell; Maksims Volkovs; Hamid R. Tizhoosh (CoRR, 2021)

Gram Barcodes for Histopathology Tissue Texture Retrieval. - Shalev Lifshitz; Abtin Riasatian; Hamid R. Tizhoosh (CoRR, 2021)

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. - Abtin Riasatian; Morteza Babaie; Danial Maleki; Shivam Kalra; Mojtaba Valipour; Sobhan Hemati; Manit Zaveri; Amir Safarpoor; Sobhan Shafiei; Mehdi Afshari; Maral Rasoolijaberi; Milad Sikaroudi; et al. (Medical Image Anal., 2021)

Hospital-Agnostic Image Representation Learning in Digital Pathology. - Milad Sikaroudi; Shahryar Rahnamayan; Hamid R. Tizhoosh (EMBC, 2022)

Quality Control of Whole Slide Images using the YOLO Concept. - Kimia Hemmatirad; Morteza Babaie; Mehdi Afshari; Danial Maleki; Mahjabin Saiadi; Hamid R. Tizhoosh (ICHI, 2022)

Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images. - Seyedeh Maryam Hosseini; Milad Sikaroudi; Morteza Babaie; Hamid R. Tizhoosh (DeCaF/FAIR@MICCAI, 2022)

LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives. - Danial Maleki; Hamid R. Tizhoosh (MIDL, 2022)

Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. - Azam Asilian Bidgoli; Shahryar Rahnamayan; Taher Dehkharghanian; Abtin Riasatian; Shivam Kalra; Manit Zaveri; Clinton J. V. Campbell; Anil Parwani; Liron Pantanowitz; Hamid R. Tizhoosh (Artif. Intell. Medicine, 2022)

Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification. - Amir Safarpoor; Jason D. Hipp; Hamid R. Tizhoosh (CoRR, 2022)

Monitoring Shortcut Learning using Mutual Information. - Mohammed Adnan; Yani A. Ioannou; Chuan-Yung Tsai; Angus Galloway; Hamid R. Tizhoosh; Graham W. Taylor (CoRR, 2022)

A non-alternating graph hashing algorithm for large-scale image search. - Sobhan Hemati; Mohammad Hadi Mehdizavareh; Shoja'eddin Chenouri; Hamid R. Tizhoosh (Comput. Vis. Image Underst., 2022)

Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing. - Sobhan Hemati; Hamid R. Tizhoosh (Pattern Recognit. Lett., 2022)

Multi-Magnification Image Search in Digital Pathology. - Maral Rasoolijaberi; Morteza Babaie; Abtin Riasatian; Sobhan Hemati; Parsa Ashrafi; Ricardo Gonzalez; Hamid R. Tizhoosh (IEEE J. Biomed. Health Informatics, 2022)

Automated bone marrow cytology using deep learning to generate a histogram of cell types. - Rohollah Moosavi Tayebi; Youqing Mu; Taher Dehkharghanian; Catherine Ross; Monalisa Sur; Ronan Foley; Hamid R. Tizhoosh; Clinton J. V. Campbell (Zenodo, 2022)

Class-imbalanced Unsupervised and Semi-Supervised Domain Adaptation for Histopathology Images. - Seyedeh Maryam Hosseini; Abubakr Shafique; Morteza Babaie; Hamid R. Tizhoosh (EMBC, 2023)

Composite Biomarker Image for Advanced Visualization in Histopathology. - Abubakr Shafique; Morteza Babaie; Ricardo Gonzalez; Adrian Batten; Soma Sikdar; Hamid R. Tizhoosh (EMBC, 2023)

Immunohistochemistry Biomarkers-Guided Image Search for Histopathology. - Abubakr Shafique; Morteza Babaie; Ricardo Gonzalez; Hamid R. Tizhoosh (EMBC, 2023)

ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. - Milad Sikaroudi; Seyedeh Maryam Hosseini; Shahryar Rahnamayan; Hamid R. Tizhoosh (ICCV (Workshops), 2023)

Deep modality association learning using histopathology images and immune cell sequencing data. - Areej Alsaafin; Morteza Babaie; Hamid R. Tizhoosh (Digital and Computational Pathology, 2023)

Training Artificial Neural Networks by Coordinate Search Algorithm. - Ehsan Rokhsatyazdi; Shahryar Rahnamayan; Sevil Zanjani Miyandoab; Azam Asilian Bidgoli; Hamid R. Tizhoosh (SSCI, 2023)

Ranking loss and sequestering learning for reducing image search bias in histopathology. - Pooria Mazaheri; Azam Asilian Bidgoli; Shahryar Rahnamayan; Hamid R. Tizhoosh (Appl. Soft Comput., 2023)

Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'. - Milad Sikaroudi; Mehdi Afshari; Abubakr Shafique; Shivam Kalra; Hamid R. Tizhoosh (CoRR, 2023)

An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO. - Kimia Hemmatirad; Morteza Babaie; Jeffrey Hodgin; Liron Pantanowitz; Hamid R. Tizhoosh (CoRR, 2023)

A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks. - Abubakr Shafique; Ricardo Gonzalez; Liron Pantanowitz; Puay Hoon Tan; Alberto Machado; Ian A Cree; Hamid R. Tizhoosh (CoRR, 2023)

When is a Foundation Model a Foundation Model. - 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; et al. (CoRR, 2023)

Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection. - Peyman Nejat; Areej Alsaafin; Ghazal Alabtah; Nneka I. Comfere; Aaron Mangold; Dennis Murphree; Patricija Zot; Saba Yasir; Joaquin J. Garcia; Hamid R. Tizhoosh (CoRR, 2023)

Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images. - Abubakr Shafique; Saghir Alfasly; Areej Alsaafin; Peyman Nejat; Jibran A. Khan; Hamid R. Tizhoosh (CoRR, 2023)

Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images. - Seyedeh Maryam Hosseini; Milad Sikaroudi; Morteza Babaie; Hamid R. Tizhoosh (IEEE Trans. Medical Imaging, 2023)

Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. - Azam Asilian Bidgoli; Shahryar Rahnamayan; Taher Dehkharghanian; Abtin Riasatian; Hamid R. Tizhoosh (IEEE Trans. Evol. Comput., 2023)

Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search. - Sobhan Hemati; Shivam Kalra; Morteza Babaie; Hamid R. Tizhoosh (Comput. Biol. Medicine, 2023)

Whole slide image representation in bone marrow cytology. - Youqing Mu; Hamid R. Tizhoosh; Taher Dehkharghanian; Clinton J. V. Campbell (Comput. Biol. Medicine, 2023)

Rotation-Agnostic Image Representation Learning for Digital Pathology. - Saghir Alfasly; Abubakr Shafique; Peyman Nejat; Jibran A. Khan; Areej Alsaafin; Ghazal Alabtah; Hamid R. Tizhoosh (CVPR, 2024)

Analysis and Validation of Image Search Engines in Histopathology. - 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; et al. (CoRR, 2024)

On Image Search in Histopathology. - Hamid R. Tizhoosh; Liron Pantanowitz (CoRR, 2024)

Foundation Models and Information Retrieval in Digital Pathology. - Hamid R. Tizhoosh (CoRR, 2024)

SPLICE - Streamlining Digital Pathology Image Processing. - Areej Alsaafin; Peyman Nejat; Abubakr Shafique; Jibran A. Khan; Saghir Alfasly; Ghazal Alabtah; Hamid R. Tizhoosh (CoRR, 2024)

On Validation of Search & Retrieval of Tissue Images in Digital Pathology. - Hamid R. Tizhoosh (CoRR, 2024)

A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology. - Sobhan Hemati; Krishna R. Kalari; Hamid R. Tizhoosh (CoRR, 2024)

Zero-Shot Whole Slide Image Retrieval in Histopathology Using Embeddings of Foundation Models. - Saghir Alfasly; Ghazal Alabtah; Sobhan Hemati; Krishna Rani Kalari; Hamid R. Tizhoosh (CoRR, 2024)

Personalized 2D Binary Patient Codes of Tissue Images and Immunogenomic Data Through Multimodal Self-Supervised Fusion. - Areej Alsaafin; Abubakr Shafique; Saghir Alfasly; Hamid R. Tizhoosh (CoRR, 2024)

Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images. - Davood Zaman Farsa; Shahryar Rahnamayan; Azam Asilian Bidgoli; Hamid R. Tizhoosh (Comput. Oper. Res., 2024)

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology. - Sobhan Hemati; Ghazal Alabtah; Saghir Alfasly; Hamid R. Tizhoosh (CoRR, 2025)

Overfitting in Histopathology Model Training: The Need for Customized Architectures. - Saghir Alfasly; Ghazal Alabtah; Hamid R. Tizhoosh (CoRR, 2025)