Ghent University Academic Bibliography

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Understanding skin color bias in deep learning-based skin lesion segmentation

Marin Benčević (UGent) , Marija Habijan, Irena Galić, Danilo Babin (UGent) and Aleksandra Pizurica (UGent)

(2024) COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. 245.
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Gradient calibration loss for fast and accurate oriented bounding box regression

Qi Ming, Lingjuan Miao, Zhiqiang Zhou, Junjie Song and Aleksandra Pizurica (UGent)

(2024) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 62.
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PCGen : a fully parallelizable point cloud generative model

Nicolas Vercheval (UGent) , Remco Royen, Adrian Munteanu and Aleksandra Pizurica (UGent)

(2024) SENSORS. 24(5).
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Sample size effect on musculoskeletal segmentation : how low can we go?

Roel Huysentruyt (UGent) , Ide Van den Borre (UGent) , Srdan Lazendic (UGent) , Kate Duquesne (UGent) , Aline Van Oevelen (UGent) , Jing LI (UGent) , Arne Burssens (UGent) , Aleksandra Pizurica (UGent) and Emmanuel Audenaert (UGent)

(2024) ELECTRONICS. 13(10).
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A deep active learning framework for crack detection in digital images of paintings

Nicolas Nadisic (UGent) , Yoann Arhant (UGent) , Niels Vyncke (UGent) , Sebastiaan Verplancke, Srdan Lazendic (UGent) and Aleksandra Pizurica (UGent)

(2024) 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, SMAR 2024. In Procedia Structural Integrity p.1-8
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Recovering from catastrophic receptive field overflow in semantic segmentation of high resolution images : application to seabed characterization

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

(2024) IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. p.9561-9565
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D4SC : Deep Supervised Semantic Segmentation for Seabed Characterization and uncertainty estimation for large scale mapping

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

(2024) IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. p.1-20
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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. 34(11). p.9259-9273
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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 - 2023 IEEE International Geoscience and Remote Sensing Symposium. In IEEE International Symposium on Geoscience and Remote Sensing IGARSS p.6932-6935
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A new deep learning neural network architecture for seafloor characterisation

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

(2023) STO-MP-SET-311 : 10th NATO Military Sensing Symposium.

Academic Bibliography

Understanding skin color bias in deep learning-based skin lesion segmentation

Gradient calibration loss for fast and accurate oriented bounding box regression

PCGen : a fully parallelizable point cloud generative model

Sample size effect on musculoskeletal segmentation : how low can we go?

A deep active learning framework for crack detection in digital images of paintings

Recovering from catastrophic receptive field overflow in semantic segmentation of high resolution images : application to seabed characterization

D4SC : Deep Supervised Semantic Segmentation for Seabed Characterization and uncertainty estimation for large scale mapping

Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection

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

A new deep learning neural network architecture for seafloor characterisation

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