Articles

type: Conference
Title Date
Saliency Based Fire Detection Using Texture and Color Features
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
Modeling of Pruning Techniques for Simplifying Deep Neural Networks
Modeling Teacher-Student Techniques in Deep Neural Networks for Knowledge Distillation
An Abstraction of Semantic Segmentation Algorithms
A General Framework for Saliency Detection Methods
Image Seam-Carving by Controlling Positional Distribution of Seams
Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging
Liver Segmentation in Abdominal CT Images Using Probabilistic Atlas and Adaptive 3D Region Growing
Hierarchical Pruning for Simplification of Convolutional Neural Networks in Diabetic Retinopathy Classification
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
type: Journal
Title DOI Date
ReDMark: Framework for residual diffusion watermarking based on deep networks 10.1016/j.eswa.2019.113157
Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network 10.1016/j.bspc.2019.101792
ارائه روشي سخت افزاري جهت كاهش نويز ضربه اي با مقدار تصادفي مبتني بر تعيين ناحيه پيكسلها #
Detection of abnormalities in mammograms using deep features 10.1007/s12652-019-01639-x
Dense pooling layers in fully convolutional network for skin lesion segmentation #
Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames #
Blind stereo image quality assessment inspired by brain sensory-motor fusion #