PhD students

This section lists the PhD student I supervised since my arrival at the LaTIM in 2018.

Current PhD students

Antoine De Paepe: “Motion-compensated CT reconstruction using diffusion models”; Publications: (De Paepe et al., 2025; De Paepe et al., 2025).
Clémentine Phung-Ngoc: “Motion-compensated PET reconstruction using diffusion models”; Publications: (Phung-Ngoc et al., 2025; Phung-Ngoc et al., 2025).
Thore Dassow: “Material Decomposition in PCCT with Diffusion Models”; Publications: (Vazia et al., 2025; Dassow et al., 2025).
Corentin Vazia: “Une approche de la reconstruction d’images et de la décomposition de matériaux en tomodensitométrie spectrale avec régularisa- tion par modèle de diffusion”; Publications: (Vazia et al., 2025; Vazia et al., 2024; Vazia et al., 2024).
Youness Mellak: “Deep Learning Approaches for PET Imaging: Three-Gamma PET, Positron Range Correction and Direct Reconstruction”; Publications: (missing reference). Director: Dimitris Visvikis.

Previous PhD students

Noel Jeffrey Pinton: “Synergistic PET/CT reconstruction using deep-learning” (2024); Publications: (Pinton et al., 2025; Pinton et al., 2023; Pinton et al., 2023).
Zhihan Wang: “Spectral computed tomographic image reconstruction using deep learning” (2024); Publications: (Wang et al., 2025; Wang et al., 2024; Wang et al., 2022).
Venkata Sai Sundar Kandarpa: “Tomographic image reconstruction with direct neural network approaches” (2022)); Publications: (Bousse et al., 2024; Bousse et al., 2024; Kandarpa et al., 2022; Kandarpa et al., 2022; Kandarpa et al., 2021; Kandarpa et al., 2021; Kandarpa et al., 2019).
Suxer Alfonso Garcia: “Multi-channel computed tomographic image reconstruction by exploiting structural similarities” (2022); Publications: (Perelli et al., 2022; Alfonso Garcia et al., 2021; Alfonso Garcia et al., 2021; Alfonso Garcia et al., 2020).
Baptiste Laurent: “Deep learning based scatter and attenuation estimation in PET imaging” (2022); Publications: (Laurent et al., 2025; Laurent et al., 2023; Laurent et al., 2020); Director: Nicolas Boussion.
Debora Giovagnoli: “Image reconstruction for three-gamma PET imaging” (2020); Publications: (Giovagnoli et al., 2021). Director: Dimitris Visvikis.

References

2025

Solving Blind Inverse Problems: Adaptive Diffusion Models for Motion-corrected Sparse-view 4DCT

Antoine De Paepe, Alexandre Bousse, Clémentine Phung-Ngoc, and 1 more author

In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2025
Adaptive Diffusion Models for Motion-corrected Cone-beam Head CT

Antoine De Paepe, Alexandre Bousse, Clémentine Phung-Ngoc, and 2 more authors

arXiv preprint arXiv:2504.14033, 2025
Joint Reconstruction of the Activity and the Attenuation in PET by Diffusion Posterior Sampling: a Feasibility Study

Clémentine Phung-Ngoc, Alexandre Bousse, Antoine De Paepe, and 3 more authors

In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2025
Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space

Clémentine Phung-Ngoc, Alexandre Bousse, Antoine De Paepe, and 3 more authors

arXiv preprint arXiv:2505.18782, 2025
Material Decomposition in Photon-Counting Computed Tomography with Diffusion Models: Comparative Study and Hybridization with Variational Regularizers

Corentin Vazia, Thore Dassow, Alexandre Bousse, and 6 more authors

arXiv preprint arXiv:2503.15383, 2025
Out-of-database Diffusion Posterior Sampling for Spectral CT Material Decomposition

Thore Dassow, Corentin Vazia, Alessandro Perelli, and 2 more authors

In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2025
Multi-Branch Generative Models for Multichannel Imaging With an Application to PET/CT Synergistic Reconstruction

Noel Jeffrey Pinton, Alexandre Bousse, Catherine Cheze-Le Rest, and 1 more author

IEEE Transactions on Radiation and Plasma Medical Sciences, 2025

DOI
MHUconnect: Multi-Head U-Net Connecting All Energy Bins For Synergistic Spectral CT Reconstruction

Zhihan Wang, Alexandre Bousse, Frank Vermet, and 4 more authors

In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2025
Evaluation of deep learning-based scatter correction on a long-axial field-of-view PET scanner

Baptiste Laurent, Alexandre Bousse, Thibaut Merlin, and 3 more authors

European journal of nuclear medicine and molecular imaging, 2025

DOI

2024

Spectral CT Two-step and One-step Material Decomposition using Diffusion Posterior Sampling

Corentin Vazia, Alexandre Bousse, Jacques Froment, and 6 more authors

In European Signal Processing Conference (EUSIPCO), 2024

DOI
Diffusion posterior sampling for synergistic reconstruction in spectral computed tomography

Corentin Vazia, Alexandre Bousse, Béatrice Vedel, and 6 more authors

In 2024 IEEE 21st international symposium on biomedical imaging (ISBI 2024). IEEE, 2024
Uconnect: Synergistic Spectral CT Reconstruction With U-Nets Connecting the Energy Bins

Zhihan Wang, Alexandre Bousse, Franck Vermet, and 5 more authors

IEEE Transactions on Radiation and Plasma Medical Sciences, 2024

DOI
A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches

Alexandre Bousse, Venkata Sai Sundar Kandarpa, Kuangyu Shi, and 4 more authors

IEEE Transactions on Radiation and Plasma Medical Sciences, 2024

DOI
Systematic Review on Learning-based Spectral CT

Alexandre Bousse, Venkata Sai Sundar Kandarpa, Simon Rit, and 5 more authors

IEEE Transactions on Radiation and Plasma Medical Sciences, 2024

DOI

2023

Joint PET/CT Reconstruction Using a Double Variational Autoencoder

Noel Jeffrey Pinton, Alexandre Bousse, Catherine Cheze-Le Rest, and 1 more author

In IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detectors Conference, 2023
Synergistic PET/CT Reconstruction Using a Joint Generative Model

Noel Jeffrey Pinton, Alexandre Bousse, Zhihan Wang, and 5 more authors

In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2023
PET scatter estimation using deep learning U-Net architecture

Baptiste Laurent, Alexandre Bousse, Thibaut Merlin, and 2 more authors

Physics in Medicine & Biology, 2023

DOI

2022

Synergistic Multi-Energy Reconstruction with a Deep Penalty “Connecting the Energies”

Zhihan Wang, Alexandre Bousse, F. Vermet, and 5 more authors

In IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detectors Conference, 2022
C-DenseNet: A direct neural network-based approach for Total Body PET Image Reconstruction

Venkata Sai Sundar Kandarpa, Alexandre Bousse, Thibaut Merlin, and 8 more authors

In IEEE Nuclear Science Symposium, , Medical Imaging Conference and Room Temperature Semiconductor Detectors Conference, 2022
LRR-CED: low-resolution reconstruction-aware convolutional encoder–decoder network for direct sparse-view CT image reconstruction

Venkata Sai Sundar Kandarpa, Alessandro Perelli, Alexandre Bousse, and 1 more author

Physics in Medicine & Biology, 2022

DOI
Multi-channel convolutional analysis operator learning for dual-energy CT reconstruction

Alessandro Perelli, Suxer L. Alfonso Garcia, Alexandre Bousse, and 3 more authors

Physics in Medicine & Biology, 2022

DOI

2021

Deep learning based Direct Sparse-View CT Image Reconstruction with Concatenated U-Net

Venkata Sai Sundar Venkata Sai Sundar Kandarpa, Alessandro Perelli, Alexandre Bousse, and 1 more author

In IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detectors Conference, 2021
DUG-RECON: A Framework for Direct Image Reconstruction using Convolutional Generative Networks

Venkata Sai Sundar Kandarpa, Alexandre Bousse, Didier Benoit, and 1 more author

IEEE Transactions on Radiation and Plasma Medical Sciences, 2021

DOI
Dual-Energy CT Reconstruction with Convolutional Analysis Operator Learning

Suxer L. Alfonso Garcia, Alessandro Perelli, Alexandre Bousse, and 1 more author

In IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detectors Conference, 2021
Sparse-View Joint Reconstruction and Material Decomposition for Dual-Energy Cone-Beam Computed Tomography

Suxer L. Alfonso Garcia, Alessandro Perelli, Alexandre Bousse, and 1 more author

In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021
A Pseudo-TOF Image Reconstruction Approach for Three-Gamma Small Animal Imaging

Debora Giovagnoli, Alexandre Bousse, N. Beaupere, and 11 more authors

IEEE Transactions on Radiation and Plasma Medical Sciences, 2021

DOI

2020

A Coupled Image-Motion Dictionary Learning algorithm for Motion Estimation-Compensation in Cone-Beam Computed Tomography

Suxer L. Alfonso Garcia, Alexandre Bousse, and Dimitris Visvikis

In IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detectors Conference, 2020
Deep Learning based scatter correction for PET imaging

Baptiste Laurent, Thibaut Merlin, Alexandre Bousse, and 1 more author

In IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detectors Conference, 2020

2019

Direct Image Reconstruction using Generative Deep Learning Networks

Venkata Sai Sundar Venkata Sai Sundar Kandarpa, Didier Benoit, Alexandre Bousse, and 1 more author

In IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detectors Conference, 2019