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Article
Global texture sensitive convolutional transformer for medical image steganalysis
Steganography is often used by hackers or illegal organizations as a vehicle for information interception of medical images. Exchanged between PACS or communicated during telemedicine sessions, images are modi...
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Article
Open AccessAutomatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models
Electronic health records (EHRs) contain valuable information for clinical research; however, the sensitive nature of healthcare data presents security and confidentiality challenges. De-identification is ther...
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Article
Multipath neural networks for anomaly detection in cyber-physical systems
An Intrusion Detection System (IDS) is a core element for securing critical systems. An IDS can use signatures of known attacks, or an anomaly detection model for detecting unknown attacks. Attacking an IDS is...
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Chapter and Conference Paper
Robust and Imperceptible Watermarking Scheme for GWAS Data Traceability
This paper proposes the first robust watermarking method of outsourced or shared genomic data in the context of genome-wide association studies (GWAS) with the primary purpose of identifying the individual or ...
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Article
Automatic source scanner identification using 1D convolutional neural network
In this digital world, digitized documents can be considered original or a piece of evidence; checking the authenticity of any suspicious image has become an unavoidable concern to preserve the trust in its le...
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Chapter and Conference Paper
A Hybrid Cloud Deployment Architecture for Privacy-Preserving Collaborative Genome-Wide Association Studies
The increasing availability of sequenced human genomes is enabling health professionals and genomics researchers to well understand the implication of genetic variants in the development of common diseases, no...
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Chapter and Conference Paper
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning
Longitudinal medical image analysis is crucial for identifying the unobvious emergence and evolution of early lesions, towards earlier and better patient-specific pathology management. However, traditional com...
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Chapter and Conference Paper
Deep Active Learning for Dual-View Mammogram Analysis
Supervised deep learning on medical imaging requires massive manual annotations, which are expertise-needed and time-consuming to perform. Active learning aims at reducing annotation efforts by adaptively sele...
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Article
Discriminative feature representation for Noisy image quality assessment
Blind image quality assessment (BIQA) is one of the most challenging and difficult tasks in the field of IQA. Given that sparse representation through dictionary learning can learn the image feature well, this...
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Chapter and Conference Paper
Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching
In clinical practice, radiologists use multiple views of routine mammograms for breast cancer screening. Similarly, computer-aided diagnosis (CAD) systems could be enhanced by integrating information arising f...
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Chapter and Conference Paper
Low-Dose CT Post-processing Based on 2D Residual Network
Low-dose CT is an effective solution to alleviate radiation risk to patients; it also introduces additional noise and streak artifacts. In order to maintain a high image quality for low-dose scanned CT data, w...
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Chapter and Conference Paper
Secure Multilayer Perceptron Based on Homomorphic Encryption
In this work, we propose an outsourced Secure Multilayer Perceptron (SMLP) scheme where privacy and confidentiality of the data and the model are ensured during its training and the classification phases. More...
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Chapter
Trust Assessment for the Security of Information Systems
Recent development of various sensors and communicating devices has significantly enhanced information systems (IS). However, the security of objects as well as the confidence the information they produ...
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Chapter and Conference Paper
Dynamic Watermarking-Based Integrity Protection of Homomorphically Encrypted Databases – Application to Outsourced Genetic Data
In this paper, we propose a dynamic database crypto-watermarking scheme that enables a cloud service provider (CSP) to verify the integrity of encrypted databases outsourced by different users. This scheme tak...
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Chapter and Conference Paper
Scanner Model Identification of Official Documents Using Noise Parameters Estimation in the Wavelet Domain
In this article, we propose a novel approach for discerning which scanner has been used to scan a particular document. Its originality relates to a signature extracted in the wavelet domain of the digitized do...
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Article
Real-time analysis of cataract surgery videos using statistical models
The automatic analysis of the surgical process, from videos recorded during surgeries, could be very useful to surgeons, both for training and for acquiring new techniques. The training process could be optimi...
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Article
Open AccessDiscriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging
X-ray computed tomography (CT) has been widely used to provide patient-specific anatomical information in the forms of tissue attenuation. However, the cumulative radiation induced in CT scan has raised extens...
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Chapter and Conference Paper
Databases Traceability by Means of Watermarking with Optimized Detection
In this paper, we propose a robust lossless database watermarking scheme the detection of which is optimized for the traceability of databases merged into, for example, shared data warehouses. We basically aim...
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Article
Deployment of a posteriori access control using IHE ATNA
In healthcare information management, privacy and confidentiality are two major concerns usually satisfied by access control means. Traditional access control mechanisms prevent illegal access by controlling a...
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Article
Color Image Analysis by Quaternion-Type Moments
In this paper, by using the quaternion algebra, the conventional complex-type moments (CTMs) for gray-scale images are generalized to color images as quaternion-type moments (QTMs) in a holistic manner. We fir...
