Search
Search Results
-
Side-Channel Analysis of Arithmetic Encodings for Post-Quantum Cryptography: Cautionary Notes with Application to Kyber
The unprotected implementations of Kyber and Dilithium have recently been shown to offer a variety of side-channel attack paths. These attacks have...
-
On the Generalizations of the Rank Metric over Finite Chain Rings
The rank metric over finite fields has received a lot of attention these last decades. Several works propose generalizations of this metric to finite...
-
Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views
In cardiovascular magnetic resonance (CMR), typical acquisitions often involve a limited number of short and long axis slices. However,...
-
Deep Learning-Based Pulmonary Artery Surface Mesh Generation
Properties of the pulmonary artery play an essential role in the diagnosis and treatment planning of diseases such as pulmonary hypertension....
-
A Benchmarking Study of Deep Learning Approaches for Bi-Atrial Segmentation on Late Gadolinium-Enhanced MRIs
Atrial segmentation from late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) provides essential information for patient stratification and...
-
Temporal Super-Resolution for Fast T1 Map**
Cardiac T1 map** can provide important biomarkers for many cardiovascular diseases. However, the acquisition time of the T1 map** sequence is...
-
Diffusion Models for Generative Histopathology
Conventional histopathology requires chemical staining to make tissue samples usable by pathologists for diagnosis. This introduces cost and...
-
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space
Motion-resolved reconstruction for abdominal magnetic resonance imaging (MRI) remains a challenge due to the trade-off between residual motion...
-
Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering
Single image super-resolution (SISR) methods aim to generate a high-resolution image from the corresponding low-resolution images. Such methods may...
-
A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations
Generative modelling and synthetic data can be a surrogate for real medical imaging datasets, whose scarcity and difficulty to share can be a...
-
Diffusion Model Based Knee Cartilage Segmentation in MRI
MRI imaging is crucial for knee joint analysis in osteoarthritis (OA) diagnosis. The segmentation and thickness estimation of knee cartilage are...
-
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature
The Circle of Willis (CoW) is the part of cerebral vasculature responsible for delivering blood to the brain. Understanding the diverse anatomical...
-
Semantic Image Synthesis for Abdominal CT
As a new emerging and promising type of generative models, diffusion models have proven to outperform Generative Adversarial Networks (GANs) in...
-
Does Players’ Prosocial Behavior in Computer Game Predict Their Well-Being in Real Life?
This study investigates the correlation between players’ prosocial behavior in computer games and their well-being in real life. Participants were...
-
The Influence of Personality Traits and Game Design Elements on Player Enjoyment: An Empirical Study on GWAPs for Linguistics
The present research investigates the effects of Personality Traits (PTs) and Game Design Elements (GDEs) on Player Enjoyment (PE) in the context of...
-
iUC-Secure Distributed File Transfer from Standard Attribute-Based Encryption
Attribute-Based Encryption ( \(\textsf {ABE}\) )...
-
Background
This character offers an introduction to the background of the OSTR task, covering essential aspects such as open-set identification and recognition,...
-
Open-Set Text Recognition Implementations(I): Label-to-Representation Map**
This chapter describes the possible approaches to implement the representation-related variable and module in the framework discussed above, i.e.,...
-
Open-Set Text Recognition: Concept, Dataset, Protocol, and Framework
This chapter gives a clear and detailed definition of the OSTR task. First, we describe the aim, goal, and scope, and formulate and define the OSTR...
-
Open-Set Text Recognition: Case-Studies
This chapter surveys two specific open-set text recognition methods, OSOCR and OpenCCD, which support the full feature set of the open-set text...