Index for tizh

Tizhoosh, H.[Hamid] Co Author Listing * Compact Representation of Histopathology Images Using Digital Stain Separation and Frequency-Based Encoded Local Projections, A

Tizhoosh, H.R.[Hamid R.] Co Author Listing * email: Tizhoosh, H.R.[Hamid R.]: ht AT mitgmbh de
* Adaptive lambda-enhancement: Type I versus type II fuzzy implementation
* Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images
* Applying Ant Colony Optimization to Binary Thresholding
* Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images
* Barcode annotations for medical image retrieval: A preliminary investigation
* Barcodes for medical image retrieval using autoencoded Radon transform
* Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem
* Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing
* Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model
* Classification and Retrieval of Digital Pathology Scans: A New Dataset
* Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks
* efficient architecture for hardware implementations of image processing algorithms, An
* Gabor barcodes for medical image retrieval
* Image Thresholding Using Ant Colony Optimization
* Image thresholding using type II fuzzy sets
* Increasing Computational Redundancy of Digital Images via Multiresolutional Matching
* Increasing Object Recognition Rate using Reinforced Segmentation
* Ink Marker Segmentation in Histopathology Images Using Deep Learning
* Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics
* IRIS Segmentation: Detecting Pupil, Limbus and Eyelids
* Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system
* Learning opposites using neural networks
* Learning Permutation Invariant Representations Using Memory Networks
* Local radon descriptors for image search
* MinMax Radon Barcodes for Medical Image Retrieval
* Multi-resolution level set image segmentation using wavelets
* Multiple disjoint dictionaries for representation of histopathology images
* Neural Image Thresholding Using SIFT: A Comparative Study
* non-alternating graph hashing algorithm for large-scale image search, A
* Observer-dependent srarpening
* Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches
* Q-Lambda -based image thresholding
* Radon-Gabor barcodes for medical image retrieval
* Reinforced Contrast Adaptation
* Representation Learning of Histopathology Images using Graph Neural Networks
* Segmentation of Prostate Boundaries Using Regional Contrast Enhancement
* Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights, A
* Stacked Autoencoders for Medical Image Search
* Studying the Effect of Digital Stain Separation of Histopathology Images on Image Search Performance
* Type-2 Fuzzy Image Enhancement
* Weighted Fisher Discriminant Analysis in the Input and Feature Spaces
* Weighted Voting-Based Robust Image Thresholding
* Window memoization: toward high-performance image processing software
Includes: Tizhoosh, H.R.[Hamid R.] Tizhoosh, H.R.
44 for Tizhoosh, H.R.

Index for "t"

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