Ghent University Academic Bibliography

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- Journal Article
GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning

Leon Denis, Remco Royen, Quentin Bolsée, Nicolas Vercheval (UGent) , Aleksandra Pizurica (UGent) and Adrian Munteanu

(2023) Sensors. 23(19).
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- Conference Paper
Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation

Xianlu Li (UGent) , Nicolas Nadisic (UGent) , Shaoguang Huang, Nikos Deligiannis and Aleksandra Pizurica (UGent)

(2023) {EUSIPCO} 2023.
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- Journal Article
- A1
- open access
From model-based optimization algorithms to deep learning models for clustering hyperspectral images

Shaoguang Huang (UGent) , Hongyan Zhang, Haijin Zeng (UGent) and Aleksandra Pizurica (UGent)

(2023) REMOTE SENSING. 15(11).
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- Journal Article
- A1
- open access
Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection

Shaoguang Huang (UGent) , Hongyan Zhang, Jize Xue and Aleksandra Pizurica (UGent)

(2023) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. p.1-15
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- A1
- open access
Segment-then-segment : context-preserving crop-based segmentation for large biomedical images

Marin Benčević (UGent) , Yuming Qiu (UGent) , Irena Galić and Aleksandra Pizurica (UGent)

(2023) SENSORS. 23(2).
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- Conference Paper
- C3
D4SC : Deep supervised semantic segmentation for seabed characterisation in low label regime

Yoann Arhant (UGent) , Olga Lopera Tellez, Xavier Neyt and Aleksandra Pizurica (UGent)

(2023) IGARSS 2023 IEEE International Geoscience and Remote Sensing Symposium, Abstracts.
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- Conference Paper
- C3
A new deep learning neural network architecture for seafloor characterisation

Yoann Arhant (UGent) , Xavier Neyt and Aleksandra Pizurica (UGent)

(2023) MSS 2023, the10th Military Sensing Symposium, Abstracts.
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- Conference Paper
- C1
- open access
Counterfactual functional connectomes for neurological classifier selection

Nicolas Vercheval (UGent) , Marin Benčević (UGent) , Dario Mužević,, Irena Galić and Aleksandra Pizurica (UGent)

(2023) 2023 31st European Signal Processing Conference (EUSIPCO). p.1050-1054
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- Journal Article
- A1
- open access
HSIToolbox : a web-based application for the classification of hyperspectral images

Zeno Dhaene, Nina Žižakić (UGent) , Shaoguang Huang (UGent) , Xian Li and Aleksandra Pizurica (UGent)

(2023) SOFTWAREX. 22.
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An end-to-end framework for joint denoising and classification of hyperspectral images

Xian Li, Mingli Ding, Yanfeng Gu and Aleksandra Pizurica (UGent)

(2023) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 34(7). p.3269-3283

Academic Bibliography

GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning

Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation

From model-based optimization algorithms to deep learning models for clustering hyperspectral images

Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection

Segment-then-segment : context-preserving crop-based segmentation for large biomedical images

D4SC : Deep supervised semantic segmentation for seabed characterisation in low label regime

A new deep learning neural network architecture for seafloor characterisation

Counterfactual functional connectomes for neurological classifier selection

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

An end-to-end framework for joint denoising and classification of hyperspectral images

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