Ghent University Academic Bibliography

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Performance evaluation of a medium axial field-of-view sparse PET system based on flat panels of monolithic LYSO detectors : a simulation study

Maya Abi Akl (UGent) , Jens Maebe (UGent) , Boris Vervenne (UGent) , Othmane Bouhali, Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2025) EJNMMI PHYSICS. 12.
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Motion study on upright patient positioning in walk-through PET: evaluation in a clinical setting

Rabia Aziz (UGent) , Florence Marie Muller (UGent) , Nadia Withofs, Jens Maebe (UGent) , Meysam Dadgar (UGent) , Boris Vervenne (UGent) , Yves D'Asseler (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2025) EJNMMI Physics. 12(1).
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Method for co-registration of high-resolution specimen PET-CT with histopathology to improve insight into radiotracer distributions

Luna Maris (UGent) , Menekse GOKER (UGent) , Jens Debacker (UGent) , Kathia De Man (UGent) , Bliede Van den Broeck (UGent) , Jo Van Dorpe (UGent) , Koen Van de Vijver (UGent) , Vincent Keereman (UGent) and Christian Vanhove (UGent)

(2024) EJNMMI PHYSICS. 11(1).
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Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking

Rabia Aziz (UGent) , Jens Maebe (UGent) , Florence Marie Muller (UGent) , Yves D'Asseler (UGent) and Stefaan Vandenberghe (UGent)

(2024) EJNMMI PHYSICS. 11(1).
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Assessing the deep learning based image quality enhancements for the BGO based GE omni legend PET/CT

Meysam Dadgar (UGent) , Amaryllis Verstraete (UGent) , Jens Maebe (UGent) , Yves D'Asseler (UGent) and Stefaan Vandenberghe (UGent)

(2024) EJNMMI PHYSICS. 11(1).
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Evaluation of lesion contrast in the walk-through long axial FOV PET scanner simulated with XCAT anthropomorphic phantoms

Meysam Dadgar (UGent) , Jens Maebe (UGent) and Stefaan Vandenberghe (UGent)

(2024) EJNMMI PHYSICS. 11(1).
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Monte Carlo simulation of the system performance of a long axial field-of-view PET based on monolithic LYSO detectors

Maya Abi Akl (UGent) , Meysam Dadgar (UGent) , Yassine Toufique, Othmane Bouhali and Stefaan Vandenberghe (UGent)

(2023) EJNMMI PHYSICS. 10(1).
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A simulation study of the system characteristics for a long axial FOV PET design based on monolithic BGO flat panels compared with a pixelated LSO cylindrical design

Meysam Dadgar (UGent) , Jens Maebe (UGent) , Maya Abi Akl (UGent) , Boris Vervenne (UGent) and Stefaan Vandenberghe (UGent)

(2023) EJNMMI PHYSICS. 10(1).
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A systematic review and meta-analysis on the radiation dose of computed tomography in hybrid nuclear medicine imaging

Gwenny Verfaillie (UGent) , Caro Franck, An De Crop, Laurence Beels, Yves D'Asseler (UGent) and Klaus Bacher (UGent)

(2023) EJNMMI PHYSICS. 10(1).
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Artificial intelligence with deep learning in nuclear medicine and radiology

Milan Decuyper (UGent) , Jens Maebe (UGent) , Roel Van Holen (UGent) and Stefaan Vandenberghe (UGent)

(2021) EJNMMI PHYSICS. 8(1).

Academic Bibliography

Performance evaluation of a medium axial field-of-view sparse PET system based on flat panels of monolithic LYSO detectors : a simulation study

Motion study on upright patient positioning in walk-through PET: evaluation in a clinical setting

Method for co-registration of high-resolution specimen PET-CT with histopathology to improve insight into radiotracer distributions

Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking

Assessing the deep learning based image quality enhancements for the BGO based GE omni legend PET/CT

Evaluation of lesion contrast in the walk-through long axial FOV PET scanner simulated with XCAT anthropomorphic phantoms

Monte Carlo simulation of the system performance of a long axial field-of-view PET based on monolithic LYSO detectors

A simulation study of the system characteristics for a long axial FOV PET design based on monolithic BGO flat panels compared with a pixelated LSO cylindrical design

A systematic review and meta-analysis on the radiation dose of computed tomography in hybrid nuclear medicine imaging

Artificial intelligence with deep learning in nuclear medicine and radiology

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