Paper-Conference

Predicting Lung Infection Severity in Chest X-Ray Images Through Multi-score Assessment
Respiratory illnesses, such as COVID-19, pose a significant health challenge. The prompt and precise identification of pulmonary …
Cite DOI URL
Revolutionizing Skin Cancer Diagnosis: Unleashing AI Precision Through Deep Learning
Accurate detection methods are desperately needed, as skin cancer concerns around the world continue to rise. Conventional methods, …
Cite DOI
Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge
Fluorescence microscopy plays a crucial role in cellular analysis but is often hindered by phototoxicity and limited spectral channels. …
Cite Code Project Project DOI
Unsupervised data labeling and incremental cross-domain training for enhanced hybrid eye gaze estimation
This paper aims to advance the fields of unsupervised data labeling and incremental cross-domain training techniques. We apply these …
Cite DOI URL
Unsupervised data labeling and incremental cross-domain training for enhanced hybrid eye gaze estimation
Scalable Semi-Supervised Learning through Combined Anchor-based Graph and Flexible Manifold Embedding
This paper focuses on graph-based semi-supervised learning, specifically for large-scale graphs used in inductive multi-class …
Cite Project DOI
Semi-supervised Classification through Data and Label Graph Fusion
This study introduces a groundbreaking structure for semi-supervised learning based on graphs. Our technique provides an …
Cite Project DOI
Automatic Quantification of Lung Infection Severity in Chest X-ray Images
A large number of well-maintained datasets are needed for the diagnosis and assessment of the severity of the new disease (COVID-19) …
Cite DOI
A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization
Deep Graph Neural Networks (GNN) have gained increasing prominence across various fields and applications in recent years. In …
Cite DOI URL
BiaPy: A ready-to-use library for bioimage analysis pipelines
In recent years, technological advances in microscopy have made available large amounts of data to biomedical researchers in the form …
Cite Project DOI
Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers
Wound healing is a fundamental mechanism for living animals. Understanding the process is crucial for numerous medical applications …
Cite Project DOI