Ghent University Academic Bibliography

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Dose reduction and image enhancement in preclinical TB-PET using deep learning

Florence Marie Muller (UGent) , Boris Vervenne (UGent) , Jens Maebe (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2022) PET is Wonderful : Annual Scientific Meeting 2022, Abstracts.
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- Conference Paper
- P1
- open access
Automated visual inspection of fabric image using deep learning approach for defect detection

Vyacheslav V. Voronin, Roman Sizyakin, Marina Zhdanova, Evgenii A. Semenishchev, Dmitry Bezuglov and Aleksander A. Zelemskii

(2021) AUTOMATED VISUAL INSPECTION AND MACHINE VISION IV. In Proceedings of SPIE 11787.
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- Conference Paper
- P1
- open access
Automated visual inspection algorithm for the reflection detection and removing in image sequences

Roman Sizyakin, Viacheslav V. Voronin, Nikolay Gapon, Alexey Nadykto, Aleksandra Pizurica (UGent) and Alexander Zelensky

(2020) TWELFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2019). In Proceedings of SPIE 11433.
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Pre-processing and classification of hyperspectral Imagery via selective inpainting

Victoria Chayes, Kevin Miller, Rasika Bhalerao, Wei Zhu, Andrea Bertozzi, Wenzhi Liao (UGent) and Stanley Osher

(2017) 2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP). In International Conference on Acoustics Speech and Signal Processing ICASSP p.6195-6199
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- Journal Article
- A1
Fraudulent use of digital radiography: Methods to detect and protect digital radiographs

Filip Calberson (UGent) , Geert Hommez (UGent) and Roeland De Moor (UGent)

(2008) JOURNAL OF ENDODONTICS. 34(5). p.530-536

Academic Bibliography

Dose reduction and image enhancement in preclinical TB-PET using deep learning

Automated visual inspection of fabric image using deep learning approach for defect detection

Automated visual inspection algorithm for the reflection detection and removing in image sequences

Pre-processing and classification of hyperspectral Imagery via selective inpainting

Fraudulent use of digital radiography: Methods to detect and protect digital radiographs

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