Articles

type: Conference
Title Date
Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images
Image Watermarking with Region of Interest Determination Using Deep Neural Networks
Convolutional Neural Network Pruning Using Filter Attenuation
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
Saliency Based Fire Detection Using Texture and Color Features
Image Seam-Carving by Controlling Positional Distribution of Seams
A General Framework for Saliency Detection Methods
Modeling Teacher-Student Techniques in Deep Neural Networks for Knowledge Distillation
An Abstraction of Semantic Segmentation Algorithms
Modeling of Pruning Techniques for Simplifying Deep Neural Networks
Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
type: Journal
Title DOI Date
BlessMark: a blind diagnostically-lossless watermarking framework for medical applications based on deep neural networks 10.1007/s11042-020-08698-9
Simplification of neural networks for skin lesion image segmentation using color channel pruning 10.1016/j.compmedimag.2020.101729
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
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 #
Blind stereo image quality assessment inspired by brain sensory-motor fusion #
Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames #