Ghent University Academic Bibliography

Inheriting Bayer's legacy : joint remosaicing and denoising for quad Bayer image sensor

Haijin Zeng (UGent) , Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Luong (UGent) , Jan Aelterman (UGent) and Wilfried Philips (UGent)

(2024) INTERNATIONAL JOURNAL OF COMPUTER VISION.

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Journal Article
A1
open access

Dose reduction and image enhancement in micro‐CT using deep learning

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

(2023) MEDICAL PHYSICS. 50(9). p.5643-5656

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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

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Conference Paper
C3
open access

Dose reduction and image enhancement in micro-CT using deep learning

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

(2022) 1st Joint BMIC-DyMIC Conference 2022, Abstracts.

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Journal Article
A2
open access

The optimized combination of aCompCor and ICA-AROMA to reduce motion and physiologic noise in task fMRI data

Peter Van Schuerbeek, Linde De Wandel (UGent) and Chris Baeken (UGent)

(2022) BIOMEDICAL PHYSICS & ENGINEERING EXPRESS. 8(5).

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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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Journal Article
A2
open access

SCSA based MATLAB pre-processing toolbox for 1H MR spectroscopic water suppression and denoising

Sourav Bhaduri, Abderrazak Chahid, Eric Achten (UGent) , Taous-Meriem Laleg-Kirati and Hacene Serrai (UGent)

(2020) Informatics in Medicine Unlocked. 18.

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Conference Paper
P1
open access

Hierarchical learning of sparse image representations using steered mixture-of-experts

R. Jongebloed, Ruben Verhack, L. Lange and T. Sikora

(2018) 2018 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW 2018). In IEEE International Conference on Multimedia and Expo Workshops

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Real time demosaicking and superresolution of multispectral images

Ljubomir Jovanov (UGent) and Wilfried Philips (UGent)

(2018) REAL-TIME IMAGE AND VIDEO PROCESSING 2018. In Proceedings of SPIE 10670.

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Real-time spatially adaptive deconvolution for CFA images

Ljubomir Jovanov (UGent) and Wilfried Philips (UGent)

(2018) OPTICS, PHOTONICS, AND DIGITAL TECHNOLOGIES FOR IMAGING APPLICATIONS V. In Proceedings of SPIE 10679.

Academic Bibliography

Inheriting Bayer's legacy : joint remosaicing and denoising for quad Bayer image sensor

Dose reduction and image enhancement in micro‐CT using deep learning

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

Dose reduction and image enhancement in micro-CT using deep learning

The optimized combination of aCompCor and ICA-AROMA to reduce motion and physiologic noise in task fMRI data

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

SCSA based MATLAB pre-processing toolbox for 1H MR spectroscopic water suppression and denoising

Hierarchical learning of sparse image representations using steered mixture-of-experts

Real time demosaicking and superresolution of multispectral images

Real-time spatially adaptive deconvolution for CFA images

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