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Found 12 papers, 5 papers with code
Cross-Attention Fusion of Visual and Geometric Features for Large Vocabulary Arabic Lipreading
Lipreading involves using visual data to recognize spoken words by analyzing the movements of the lips and surrounding area.
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
For the medical domain, we present a large collection of anatomical shapes (e. g., bones, organs, vessels) and 3D models of surgical instrument, called MedShapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt SOTA vision algorithms to medical problems.
Deep Generative Models for Physiological Signals: A Systematic Literature Review
In this paper, we present a systematic literature review on deep generative models for physiological signals, particularly electrocardiogram, electroencephalogram, photoplethysmogram and electromyogram.
Graph Self-Supervised Learning for Endoscopic Image Matching
Accurate feature matching and correspondence in endoscopic images play a crucial role in various clinical applications, including patient follow-up and rapid anomaly localization through panoramic image generation.
DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis
Within cardiovascular disease detection using deep learning applied to ECG signals, the complexities of handling physiological signals have sparked growing interest in leveraging deep generative models for effective data augmentation.
3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge
To address these challenges, the 3DTeethSeg'22 challenge was organized in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in 2022, with a call for algorithms tackling teeth localization, segmentation, and labeling from intraoral 3D scans.
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis
Electrocardiogram (ECG) data collection during emergency situations is challenging, making ECG data generation an efficient solution for dealing with highly imbalanced ECG training datasets.
Teeth3DS: a benchmark for teeth segmentation and labeling from intra-oral 3D scans
Teeth segmentation and labeling are critical components of Computer-Aided Dentistry (CAD) systems.
Self-Supervised Endoscopic Image Key-Points Matching
Feature matching and finding correspondences between endoscopic images is a key step in many clinical applications such as patient follow-up and generation of panoramic image from clinical sequences for fast anomalies localization.
Discriminant Patch Representation for RGB-D Face Recognition Using Convolutional Neural Networks
This paper focuses on designing data-driven models to learn a discriminant representation space for face recognition using RGB-D data.
Construction of extended 3D field of views of the internal bladder wall surface: a proof of concept
In this paper, we propose a 3D image mosaicing algorithm guided by 2D cystoscopic video-image registration for obtaining textured FOV mosaics.
Comparative study of image registration techniques for bladder video-endoscopy
Bladder cancer is widely spread in the world.
