Articles

type: Journal
Title DOI Date
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 #
Real-time removal of impulse noise from MR images for radiosurgery applications #
Aggregation of Rich Depth Aware Features in a Modified Stacked Generalization Model for Single Image Depth Estimation #
type: Conference
Title Date
A General Framework for Saliency Detection Methods
Modeling Teacher-Student Techniques in Deep Neural Networks for Knowledge Distillation
Image Seam-Carving by Controlling Positional Distribution of Seams
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
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
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
EXPLOITING UNCERTAINTY OF DEEP NEURAL NETWORKS FOR IMPROVING SEGMENTATION ACCURACY IN MRI IMAGES
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks