Aleksandra Pizurica

Professor

Ghent University

Belgium

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Aleksandra Pizurica is a Professor at Ghent University in Belgium. Her research focuses on advanced segmentation techniques in biomedical imaging, point cloud generation, and hyperspectral image analysis, as evidenced by her recent articles. She is particularly interested in topics such as musculoskeletal segmentation, semantic segmentation for seabed characterization, and the development of innovative deep learning models for data clustering.

Aleksandra Pizurica

Research Interests

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Articles (17)

PCGen: A Fully Parallelizable Point Cloud Generative Model

Sample Size Effect on Musculoskeletal Segmentation: How Low Can We Go?

D4SC: Deep Supervised Semantic Segmentation for Seabed Characterization and Uncertainty Estimation for Large Scale Mapping

Gradient Calibration Loss for Fast and Accurate Oriented Bounding Box Regression

Not All Boxes Are Equal: Learning to Optimize Bounding Boxes With Discriminative Distributions in Optical Remote Sensing Images

From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images

Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images

Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images

An End-to-End Framework for Joint Denoising and Classification of Hyperspectral Images

HSIToolbox: A web-based application for the classification of hyperspectral images

HSIToolbox: A web-based application for the classification of hyperspectral images

GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning

Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection

Editorial to Special Issue “Remote Sensing Image Denoising, Restoration and Reconstruction”

Editorial to Special Issue "Remote Sensing Image Denoising, Restoration and Reconstruction"

Recent Progress in Epicardial and Pericardial Adipose Tissue Segmentation and Quantification Based on Deep Learning: A Systematic Review

Recent Progress in Epicardial and Pericardial Adipose Tissue Segmentation and Quantification Based on Deep Learning: A Systematic Review

Collaborators (4)

Remco Royen

LEON DENIS

Adrian Munteanu

Quentin Bolsee

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