research
∙
01/10/2023
Tensor Denoising via Amplification and Stable Rank Methods
Tensors in the form of multilinear arrays are ubiquitous in data science...
share
research
∙
08/17/2022
Prediction of Oral Food Challenges via Machine Learning
Oral Food Challenges (OFCs) are essential to accurately diagnosing food ...
research
∙
12/09/2021
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure
A model's interpretability is essential to many practical applications s...
research
∙
12/03/2020
Motion-based Camera Localization System in Colonoscopy Videos
Optical colonoscopy is an essential diagnostic and prognostic tool for m...
research
∙
07/16/2020
Radial basis function kernel optimization for Support Vector Machine classifiers
Support Vector Machines (SVMs) are still one of the most popular and pre...
research
∙
05/25/2020
Algebraic Methods for Tensor Data
We develop algebraic methods for computations with tensor data. We give ...
research
∙
11/01/2019
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks
Nowadays, with the development of public network usage, medical informat...
research
∙
08/31/2019
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Ultrasound imaging is a standard examination during pregnancy that can b...
research
∙
08/31/2019
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
Histopathology images contain essential information for medical diagnosi...
research
∙
04/17/2019
An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs
The high rate of false alarms in intensive care units (ICUs) is one of t...
research
∙
10/16/2018
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
Due to the rapid growth of machine learning tools and specifically deep ...
research
∙
09/16/2018
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network
Automating classification and segmentation process of abnormal regions i...
research
∙
08/23/2018
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames
Wireless capsule endoscopy (WCE) is an effective mean for diagnosis of g...
research
∙
02/23/2018
Adaptive specular reflection detection and inpainting in colonoscopy video frames
Colonoscopy video frames might be contaminated by bright spots with unsa...
research
∙
02/23/2018
Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference
Deep neural networks have shown great achievements in solving complex pr...
research
∙
02/21/2018
Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network
The need for CT scan analysis is growing for pre-diagnosis and therapy o...
research
∙
02/21/2018
Liver segmentation in CT images using three dimensional to two dimensional fully connected network
The need for CT scan analysis is growing for pre-diagnosis and therapy o...
research
∙
02/21/2018
Liver Segmentation in Abdominal CT Images by Adaptive 3D Region Growing
Automatic liver segmentation plays an important role in computer-aided d...
research
∙
02/21/2018
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy Images an Approach for inside Capsule Video Summarization
Wireless capsule endoscopy (WCE) is an effective means of diagnosis of g...
research
∙
02/21/2018
Reversible Image Watermarking for Health Informatics Systems Using Distortion Compensation in Wavelet Domain
Reversible image watermarking guaranties restoration of both original co...
research
∙
02/21/2018
Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks
Recent advances in capsule endoscopy systems have introduced new methods...
research
∙
02/21/2018
Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network
Medical image analysis, especially segmenting a specific organ, has an i...
research
∙
02/21/2018
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background
By increasing the volume of telemedicine information, the need for medic...
research
∙
01/25/2018
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification
This Perspective provides examples of current and future applications of...
research
∙
12/29/2017
Dense Fully Convolutional Network for Skin Lesion Segmentation
Skin cancer is a deadly disease and is on the rise in the world. Compute...
research
∙
09/08/2017
Vessel Segmentation and Catheter Detection in X-Ray Angiograms Using Superpixels
Coronary artery disease (CAD) is the leading causes of death around the ...
research
∙
09/06/2017
Adaptive Real-Time Removal of Impulse Noise in Medical Images
Noise is an important factor that degrades the quality of medical images...
research
∙
09/05/2017
Adaptive Blind Image Watermarking Using Fuzzy Inference System Based on Human Visual Perception
Development of digital content has increased the necessity of copyright ...
research
∙
07/19/2017
Real-Time Impulse Noise Removal from MR Images for Radiosurgery Applications
In the recent years image processing techniques are used as a tool to im...
research
∙
11/13/2016
Hand Gesture Recognition for Contactless Device Control in Operating Rooms
Hand gesture is one of the most important means of touchless communicati...
research
∙
09/08/2016
Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning
Melanoma is amongst most aggressive types of cancer. However, it is high...
research
∙
12/05/2015