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Found 19 papers, 13 papers with code
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks
Social media rumours, a form of misinformation, can mislead the public and cause significant economic and social disruption.
uniGradICON: A Foundation Model for Medical Image Registration
We therefore propose uniGradICON, a first step toward a foundation model for registration providing 1) great performance \emph{across} multiple datasets which is not feasible for current learning-based registration methods, 2) zero-shot capabilities for new registration tasks suitable for different acquisitions, anatomical regions, and modalities compared to the training dataset, and 3) a strong initialization for finetuning on out-of-distribution registration tasks.
CMA-R:Causal Mediation Analysis for Explaining Rumour Detection
We apply causal mediation analysis to explain the decision-making process of neural models for rumour detection on Twitter.
Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot
Creating and deploying customized applications is crucial for operational success and enriching user experiences in the rapidly evolving modern business world.
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation
In this work, we introduce a fast and accurate method for unsupervised 3D medical image registration building on top of a Self-supervised Anatomical eMbedding (SAM) algorithm, which is capable of computing dense anatomical correspondences between two images at the voxel level.
Ranked #8 on
Image Registration
on Unpaired-abdomen-CT
$\texttt{NePhi}$: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration
In contrast to the predominant voxel-based transformation fields used in learning-based registration approaches, NePhi represents deformations functionally, leading to great flexibility within the design space of memory consumption during training and inference, inference time, registration accuracy, as well as transformation regularity.
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
Estimating displacement vector field via a cost volume computed in the feature space has shown great success in image registration, but it suffers excessive computation burdens.
Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity
We found that BART and ChatGPT can better capture diverse opinions presented in the source documents.
Learning spatial- temporal consistency for satellite image sequence prediction
As an extremely challenging spatial–temporal sequence prediction task, satellite image sequence prediction has various and significant applications in real-world scenarios.
Inverse Consistency by Construction for Multistep Deep Registration
Inverse consistency is a desirable property for image registration.
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters
State-sponsored trolls are the main actors of influence campaigns on social media and automatic troll detection is important to combat misinformation at scale.
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
We present an approach to learning regular spatial transformations between image pairs in the context of medical image registration.
$\texttt{GradICON}$: Approximate Diffeomorphisms via Gradient Inverse Consistency
We present an approach to learning regular spatial transformations between image pairs in the context of medical image registration.
LiftReg: Limited Angle 2D/3D Deformable Registration
We propose LiftReg, a 2D/3D deformable registration approach.
Fluid registration between lung CT and stationary chest tomosynthesis images
We demonstrate our approach for the registration between CT and stationary chest tomosynthesis (sDCT) images and show how it naturally leads to an iterative image reconstruction approach.
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance.
Rumour Detection via Zero-shot Cross-lingual Transfer Learning
Most rumour detection models for social media are designed for one specific language (mostly English).
Discovering Hidden Physics Behind Transport Dynamics
To help with identifiability, we develop an advection-diffusion simulator which allows pre-training of our model by supervised learning using the velocity and diffusion tensor fields.
Graphical Time Warping for Joint Alignment of Multiple Curves
We name the proposed approach graphical time warping (GTW), emphasizing the graphical nature of the solution and that the dependency structure of the warping functions can be represented by a graph.
