Ghent University Academic Bibliography

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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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Using the polar transform for efficient deep learning-based aorta segmentation in CTA images

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

(2022) 2022 International Symposium ELMAR, proceedings. p.191-194
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Weak segmentation supervised deep neural networks for pedestrian detection

Zhixin Guo (UGent) , Wenzhi Liao (UGent) , Yifan Xiao (UGent) , Peter Veelaert (UGent) and Wilfried Philips (UGent)

(2021) PATTERN RECOGNITION. 119.
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Assisting classical paintings restoration : efﬁcient paint loss detection and descriptor-based inpainting using shared pretraining

Laurens Meeus (UGent) , Shaoguang Huang (UGent) , Nina Žižakić (UGent) , Xianghui Xie, Bart Devolder, Hélène Dubois (UGent) , Maximiliaan Martens (UGent) and Aleksandra Pizurica (UGent)

(2021) Optics, Photonics and Digital Technologies for Imaging Applications VI. In Proceedings of SPIE 11353.
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Single image facade segmentation and computational rephotography of house images using deep learning

Dilawar Ali (UGent) , Steven Verstockt (UGent) and Nico Van de Weghe (UGent)

(2021) ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE. 14(4).
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Training on polar image transformations improves biomedical image segmentation

Marin Benčević (UGent) , Irena Galic, Marija Habijan (UGent) and Danilo Babin (UGent)

(2021) IEEE ACCESS. 9. p.133365-133375
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Semantic-guided radar-vision fusion for depth estimation and object detection

Wei-Yu Lee (UGent) , Ljubomir Jovanov (UGent) and Wilfried Philips (UGent)

(2021) BMVC, the 32nd British Machine Vision Conference, Proceedings.
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Airplane recognition from remote sensing images with deep convolutional neural network

Fen Chen, Ruilong Ren, Wenbo Xu and Tim Van de Voorde (UGent)

(2020) International Geoscience and Remote Sensing Symposium (IGARSS 2020), Proceedings.
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Deep learning for paint loss detection with a multiscale, translation invariant network

Laurens Meeus (UGent) , Shaoguang Huang (UGent) , Bart Devolder, Hélène Dubois (UGent) and Aleksandra Pizurica (UGent)

(2019) Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis (ISPA 2019). p.158-162

Academic Bibliography

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

Using the polar transform for efficient deep learning-based aorta segmentation in CTA images

Weak segmentation supervised deep neural networks for pedestrian detection

Assisting classical paintings restoration : efﬁcient paint loss detection and descriptor-based inpainting using shared pretraining

Single image facade segmentation and computational rephotography of house images using deep learning

Training on polar image transformations improves biomedical image segmentation

Semantic-guided radar-vision fusion for depth estimation and object detection

Airplane recognition from remote sensing images with deep convolutional neural network

Deep learning for paint loss detection with a multiscale, translation invariant network

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