Hamid R. Tizhoosh

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images.

[BibT_eX]

[DOI]

Seyedeh Maryam Hosseini

Milad Sikaroudi

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Quality Control of Whole Slide Images using the YOLO Concept.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Hospital-Agnostic Image Representation Learning in Digital Pathology.

[BibT_eX]

[DOI]

Milad Sikaroudi

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Gram Barcodes for Histopathology Tissue Texture Retrieval.

[BibT_eX]

[DOI]

Shalev Lifshitz

Abtin Riasatian

CoRR, 2021

ProxyFL: Decentralized Federated Learning through Proxy Model Sharing.

[BibT_eX]

[DOI]

CoRR, 2021

Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology.

[BibT_eX]

[DOI]

Rohollah Moosavi Tayebi

Clinton J. V. Campbell

CoRR, 2021

Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings.

[BibT_eX]

[DOI]

CoRR, 2021

Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features.

[BibT_eX]

[DOI]

Antonio Sze-To

Abtin Riasatian

Mohammad Hadi Mehdizavareh

CoRR, 2021

CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Magnification Generalization For Histopathology Image Embedding.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights.

[BibT_eX]

[DOI]

Sobhan Hemati

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Automatic Multi-Stain Registration of Whole Slide Images in Histopathology.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Analysis of Language Embeddings for Classification of Unstructured Pathology Reports.

[BibT_eX]

[DOI]

Aishwarya Krishna Allada

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Similarity Measure of Histopathology Images by Deep Embeddings.

[BibT_eX]

[DOI]

Mehdi Afshari

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images.

[BibT_eX]

[DOI]

Seyedeh Maryam Hosseini

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020

Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence.

[BibT_eX]

[DOI]

Clinton J. V. Campbell

Liron Pantanowitz

npj Digit. Medicine, 2020

<i>Yottixel</i> - An Image Search Engine for Large Archives of Histopathology Whole Slide Images.

[BibT_eX]

[DOI]

Clinton J. V. Campbell

Liron Pantanowitz

Medical Image Anal., 2020

Class-Aware Image Search for Interpretable Cancer Identification.

[BibT_eX]

[DOI]

IEEE Access, 2020

Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Ink Marker Segmentation in Histopathology Images Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Weighted Fisher Discriminant Analysis in the Input and Feature Spaces.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Studying the Effect of Digital Stain Separation of Histopathology Images on Image Search Performance.

[BibT_eX]

[DOI]

Alison K. Cheeseman

Edward R. Vrscay

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Recognizing Magnification Levels in Microscopic Snapshots.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Classifying Pneumonia among Chest X-Rays Using Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset.

[BibT_eX]

[DOI]

Taher Dehkharghanian

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Learning Permutation Invariant Representations Using Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Representation Learning of Histopathology Images using Graph Neural Networks.

[BibT_eX]

[DOI]

Mohammed Adnan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Searching for Pneumothorax in Half a Million Chest X-Ray Images.

[BibT_eX]

[DOI]

Antonio Sze-To

Proceedings of the Artificial Intelligence in Medicine, 2020

Forming Local Intersections of Projections for Classifying and Searching Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2020

A New Local Radon Descriptor for Content-Based Image Search.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections.

[BibT_eX]

[DOI]

Alison K. Cheeseman

Edward R. Vrscay

CoRR, 2019

Automatic Classification of Pathology Reports using TF-IDF Features.

[BibT_eX]

[DOI]

Larry Li

CoRR, 2019

Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images.

[BibT_eX]

[DOI]

IEEE Access, 2019

Subtractive Perceptrons for Learning Images: A Preliminary Report.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Image Processing Theory, 2019

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

[BibT_eX]

[DOI]

Aditya Sriram

Proceedings of the International Joint Conference on Neural Networks, 2019

A Compact Representation of Histopathology Images Using Digital Stain Separation and Frequency-Based Encoded Local Projections.

[BibT_eX]

[DOI]

Alison K. Cheeseman

Edward R. Vrscay

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Patch Clustering for Representation of Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the Digital Pathology - 15th European Congress, 2019

Deep Features for Tissue-Fold Detection in Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the Digital Pathology - 15th European Congress, 2019

Atrial Fibrillation Detection Using Deep Features and Convolutional Networks.

[BibT_eX]

[DOI]

Sara Ross-Howe

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Representing Medical Images With Encoded Local Projections.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2018

Multiple disjoint dictionaries for representation of histopathology images.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2018

A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Parallel deep solutions for image retrieval from imbalanced medical imaging archives.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

Facial Recognition with Encoded Local Projections.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

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

[BibT_eX]

[DOI]

Sara Ross-Howe

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Barcodes for Fast Retrieval of Histopathology Scans.

[BibT_eX]

[DOI]

Meghana Dinesh Kumar

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Comparing LBP, HOG and Deep Features for Classification of Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Auto-detection of Safety Issues in Baby Products.

[BibT_eX]

[DOI]

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

CenDE: Centroid-Based Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017

Fast Barcode Retrieval for Consensus Contouring.

[BibT_eX]

[DOI]

Gregory J. Czarnota

CoRR, 2017

Micro-differential evolution: Diversity enhancement and a comparative study.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2017

Learning autoencoded radon projections.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Opposition-based ensemble micro-differential evolution.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Skin lesion segmentation: U-Nets versus clustering.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A comparative study of CNN, BoVW and LBP for classification of histopathological images.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Combining real-valued and binary Gabor-Radon features for classification and search in medical imaging archives.

[BibT_eX]

[DOI]

Hamed Erfankhah

Mehran Yazdi

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Local radon descriptors for image search.

[BibT_eX]

[DOI]

Amin Khatami

Mohammad Ebrahim Shiri

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Retrieving Similar X-ray Images from Big Image Data using Radon Barcodes with Single Projections.

[BibT_eX]

[DOI]

Shujin Zhu

Mohammad Ebrahim Shiri

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Classification and Retrieval of Digital Pathology Scans: A New Dataset.

[BibT_eX]

[DOI]

Aditya Sriram

Christopher Mitcheltree

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

A deep-structural medical image classification for a Radon-based image retrieval.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Tumour ellipsification in ultrasound images for treatment prediction in breast cancer.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes.

[BibT_eX]

[DOI]

J. Digit. Imaging, 2016

Automated Resolution Selection for Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2016

Anatomy-aware measurement of segmentation accuracy.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Image Processing, 2016

MinMax Radon Barcodes for Medical Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Stacked Autoencoders for Medical Image Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Tumour ROI estimation in ultrasound images via radon barcodes in patients with locally advanced breast cancer.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Radon features and barcodes for medical image retrieval via SVM.

[BibT_eX]

[DOI]

Shujin Zhu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Binary codes for tagging x-ray images via deep de-noising autoencoders.

[BibT_eX]

[DOI]

Antonio Sze-To

Andrew K. C. Wong

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform.

[BibT_eX]

[DOI]

Xinran Liu

Jonathan Kofman

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Barcodes for medical image retrieval using autoencoded Radon transform.

[BibT_eX]

[DOI]

Christopher Mitcheltree

Shujin Zhu

Shamak Dutta

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Radon-Gabor barcodes for medical image retrieval.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Learning opposites using neural networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Gabor barcodes for medical image retrieval.

[BibT_eX]

[DOI]

Mina Nouredanesh

Ershad Banijamali

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Evolutionary projection selection for Radon barcodes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Exploration enhancement in ensemble micro-differential evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Window memoization: toward high-performance image processing software.

[BibT_eX]

[DOI]

Mark D. Aagaard

J. Real Time Image Process., 2015

Evolving Fuzzy Image Segmentation with Self-Configuration.

[BibT_eX]

[DOI]

CoRR, 2015

Autoencoding the retrieval relevance of medical images.

[BibT_eX]

[DOI]

Zehra Camlica

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Self-Configuring and Evolving Fuzzy Image Thresholding.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data.

[BibT_eX]

[DOI]

Zehra Camlica

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Barcode annotations for medical image retrieval: A preliminary investigation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Learning opposites with evolving rules.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

EFIS - Evolving Fuzzy Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2014

Multi-Resolution Level Sets with Shape Priors: A Validation Report for 2D Segmentation of Prostate Gland in T2W MR Images.

[BibT_eX]

[DOI]

J. Digit. Imaging, 2014

Oppositional extension of reinforcement learning techniques.

[BibT_eX]

[DOI]

Masoud Mahootchi

Kumaraswamy Ponnambalam

Inf. Sci., 2014

Micro-differential evolution with vectorized random mutation factor.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Type-II opposition-based differential evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Image classification using evolving fuzzy inference systems.

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

N-cuts parameter adjustment using evolving fuzzy inferencing.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2013, 2013

Multi-stage intra-patient template matching for prostate detection in MR volumes.

[BibT_eX]

[DOI]

Zeinab Jahed

Khaled B. Shaban

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011

An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the Prostate.

[BibT_eX]

[DOI]

J. Digit. Imaging, 2011

Neural image thresholding with SIFT-Controlled gabor features.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Segmentation of Breast Ultrasound Images Using Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2011

Cascaded Window Memoization for Medical Imaging.

[BibT_eX]

[DOI]

Mehdi Kianpour

Proceedings of the Artificial Intelligence Applications and Innovations, 2011

Multi-resolution level set image segmentation using wavelets.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Evolving fuzzy image segmentation.

[BibT_eX]

[DOI]

Edurne Barrenechea Tartas

Proceedings of the FUZZ-IEEE 2011, 2011

2010

Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images.

[BibT_eX]

[DOI]

Humberto Bustince Sola

Miguel Pagola

Fuzzy Sets Syst., 2010

A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918].

[BibT_eX]

[DOI]

Appl. Soft Comput., 2010

Image thresholding using neural network.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Opposition based computing - A survey.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

A Neural Approach to Image Thresholding.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Oppositional fuzzy image thresholding.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2010, 2010

Visualization of hidden structures in corporate failure prediction using opposite pheromone per node model.

[BibT_eX]

[DOI]

Soumya Banerjee

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Neural Image Thresholding Using SIFT: A Comparative Study.

[BibT_eX]

[DOI]

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

2009

Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples.

[BibT_eX]

[DOI]

J. Adv. Comput. Intell. Intell. Informatics, 2009

Oppositional target domain estimation using grid-based simulation.

[BibT_eX]

[DOI]

Mohamed S. Kamel

Appl. Soft Comput., 2009

Improving gradient-based learning algorithms for large scale feedforward networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

Increasing Computational Redundancy of Digital Images via Multiresolutional Matching.

[BibT_eX]

[DOI]

Arsen R. Hajian

Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

Quasi-global oppositional fuzzy thresholding.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2009, 2009

Opposite Fuzzy Sets with Applications in Image Processing.

[BibT_eX]

[DOI]

Edurne Barrenechea Tartas

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images.

[BibT_eX]

[DOI]

Miguel Pagola

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Adaptive λ-enhancement: Type I versus type II fuzzy implementation.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Image Processing, 2009

An efficient architecture for hardware implementations of image processing algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Image Processing, 2009

2008

Type II Fuzzy Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

Two Frameworks for Improving Gradient-Based Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

Opposition-Based Computing.

[BibT_eX]

[DOI]

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

Introduction.

[BibT_eX]

[DOI]

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

The Concept of Opposition and Its Use in Q-Learning and Q(lambda) Techniques.

[BibT_eX]

[DOI]

Mohamed S. Kamel

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

Opposite Actions in Reinforced Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

Differential Evolution Via Exploiting Opposite Populations.

[BibT_eX]

[DOI]

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

Opposition Mining in Reservoir Management.

[BibT_eX]

[DOI]

Masoud Mahootchi

Kumaraswamy Ponnambalam

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

Opposition-Based Differential Evolution.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2008

Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics.

[BibT_eX]

[DOI]

Pattern Recognit., 2008

A diversity maintaining population-based incremental learning algorithm.

[BibT_eX]

[DOI]

Inf. Sci., 2008

A reinforcement agent for object segmentation in ultrasound images.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2008

Application of reinforcement learning for segmentation of transrectal ultrasound images.

[BibT_eX]

[DOI]

BMC Medical Imaging, 2008

A reinforcement agent for threshold fusion.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2008

Opposition versus randomness in soft computing techniques.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2008

Numerical condition of feedforward networks with opposite transfer functions.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments.

[BibT_eX]

[DOI]

Mohamed S. Kamel

Proceedings of the International Joint Conference on Neural Networks, 2008

Filtering and fusion of THz images for defect detection in composite materials.

[BibT_eX]

[DOI]

Kaveh Houshmand

Proceedings of the FUZZ-IEEE 2008, 2008

Image thresholding using micro opposition-based Differential Evolution (Micro-ODE).

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Fuzzy Classification Using Pattern Discovery.

[BibT_eX]

[DOI]

Andrew Hamilton-Wright

Daniel W. Stashuk

IEEE Trans. Fuzzy Syst., 2007

A novel population initialization method for accelerating evolutionary algorithms.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2007

Applying Opposition-Based Ideas to the Ant Colony System.

[BibT_eX]

[DOI]

Alice R. Malisia

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Active exploratory q-learning for large problems.

[BibT_eX]

[DOI]

Xianghai Wu

Jonathan Kofman

Proceedings of the IEEE International Conference on Systems, 2007

Opposite Transfer Functions and Backpropagation Through Time.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Simulated Annealing with Opposite Neighbors.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Quasi-oppositional Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

On poem recognition.

[BibT_eX]

[DOI]

Rozita A. Dara

Pattern Anal. Appl., 2006

Fuzzy anisotropic diffusion based on edge detection.

[BibT_eX]

[DOI]

Jialin Song

J. Intell. Fuzzy Syst., 2006

Opposition-Based Reinforcement Learning.

[BibT_eX]

[DOI]

J. Adv. Comput. Intell. Intell. Informatics, 2006

Reinforced Contrast Adaptation.

[BibT_eX]

[DOI]

Graham W. Taylor

Int. J. Image Graph., 2006

Image Thresholding Using Differential Evolution.

[BibT_eX]

Proceedings of the 2006 International Conference on Image Processing, 2006

Improving the Convergence of Backpropagation by Opposite Transfer Functions.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Opposition-Based Q(lambda) Algorithm.

[BibT_eX]

[DOI]

Mohamed Kamel

Proceedings of the International Joint Conference on Neural Networks, 2006

A Reinforcement Learning Framework for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Increasing Object Recognition Rate using Reinforced Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2006

Weighted Voting-Based Robust Image Thresholding.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2006

Applying Ant Colony Optimization to Binary Thresholding.

[BibT_eX]

[DOI]

Alice R. Malisia

Proceedings of the International Conference on Image Processing, 2006

IRIS Segmentation: Detecting Pupil, Limbus and Eyelids.

[BibT_eX]

[DOI]

Ehsan Mohammadi Arvacheh

Proceedings of the International Conference on Image Processing, 2006

Image Thresholding Using Ant Colony Optimization.

[BibT_eX]

[DOI]

Alice R. Malisia

Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

Opposition-Based Differential Evolution Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Opposition-Based Differential Evolution for Optimization of Noisy Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Image thresholding using type II fuzzy sets.

[BibT_eX]

[DOI]

Pattern Recognit., 2005

Segmentation of prostate boundaries using regional contrast enhancement.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Conference on Image Processing, 2005

Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Type-2 Fuzzy Image Enhancement.

[BibT_eX]

[DOI]

P. Ensafi

Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Using Reinforcement Learning for Filter Fusion in Image Enhancement.

[BibT_eX]

Proceedings of the IASTED International Conference on Computational Intelligence, 2005

Opposition-Based Learning: A New Scheme for Machine Intelligence.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004

Q(lambda)-Based Image Thresholding.

[BibT_eX]

[DOI]

Proceedings of the 1st Canadian Conference on Computer and Robot Vision (CRV 2004) 17-19 May 2004, 2004

2002

Observer-dependent sharpening.

[BibT_eX]

[DOI]

Proceedings of the 2002 International Conference on Image Processing, 2002

2001

Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system.

[BibT_eX]

[DOI]

Gerald Krell

Bernd Michaelis

Image Vis. Comput., 2001

Invited talk: Observer-dependent Image Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000

Bildverbesserung mit Rücksicht auf das subjektive Expertenwissen unter besonderer Verwendung von Fuzzy-Ansätzen.

[BibT_eX]

[DOI]

PhD thesis, 2000

Fuzzy Image Processing.

[BibT_eX]

[DOI]

Horst Haußecker

Proceedings of the Computer Vision and Applications, 2000

1998

Enhancement and associative restoration of electronic portal images in radiotherapy.

[BibT_eX]

[DOI]

Int. J. Medical Informatics, 1998

Über Binarisierung und Potentiale der Fuzzy-Ansätze.

[BibT_eX]

[DOI]

Proceedings of the Informatik '98, 1998

1997

Fuzzy image enhancement and associative feature matching in radiotherapy.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images.

[BibT_eX]

[DOI]

Gerald Krell

Bernd Michaelis

Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Locally Adaptive Fuzzy Image Enhancement.

[BibT_eX]

[DOI]

Gerald Krell

Bernd Michaelis

Proceedings of the Computational Intelligence, 1997

Fuzzy-Bildverarbeitung - Einführung in Theorie und Praxis.

[BibT_eX]