Articles

type: Journal
Title DOI Date
Blind stereo image quality assessment inspired by brain sensory-motor fusion #
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 #
Hierarchical watermarking framework based on analysis of local complexity variations #
Adaptive Real-Time Removal of Impulse Noise in Medical Images #
Adaptive image watermarking using human perception based fuzzy inference system #
Vessel Segmentation and Catheter Detection in XRay Angiograms Using Superpixels #
type: Conference
Title Date
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
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
Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces
Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
EXPLOITING UNCERTAINTY OF DEEP NEURAL NETWORKS FOR IMPROVING SEGMENTATION ACCURACY IN MRI IMAGES
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks
LIVER SEGMENTATION IN CT IMAGES USING THREE DIMENSIONAL TO TWO DIMENSIONAL FULLY CONVOLUTIONAL NETWORK
ADAPTIVE SPECULAR REFLECTION DETECTION AND INPAINTING IN COLONOSCOPY VIDEO FRAMES
LOW COMPLEXITY CONVOLUTIONAL NEURAL NETWORK FOR VESSEL SEGMENTATION IN PORTABLE RETINAL DIAGNOSTIC DEVICES
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background
Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network