Articles

type: Conference
Title Date
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
Reversible Image Watermarking for Health Informatics Systems Using Distortion Compensation in Wavelet Domain
Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network
Classification of Informative Frames in Colonoscopy Videos Using Convolutional Neural Networks with Binarized Weights
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background
Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network
Image Inpainting by Hyperbolic Selection of Pixels for Two-Dimensional Bicubic Interpolations
RIBBONS: Rapid Inpainting Based on Browsing of Neighborhood Statistics
Context-Aware Saliency Map Generation Using Semantic Segmentation
type: Journal
Title DOI Date
Aggregation of Rich Depth Aware Features in a Modified Stacked Generalization Model for Single Image Depth Estimation #
Real-time removal of impulse noise from MR images for radiosurgery applications #
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 #
Retinal Blood Vessel Segmentation for Macula Detachment Surgery Monitoring Instruments #