2 citations · 2 across the 5 of their papers we have counts for
6 papers
Dual-Domain Equivariant Generative Adversarial Network for Multimodal CT-PET Synthesis
Gabriel Steele, Alzahra Altalib, Alessandro Perelli
We present a Dual-Domain Equivariant Generative Adversarial Network (DDE-GAN) for multimodal CT-PET image synthesis. Traditional GAN-based approaches often operate solely in the sp…
EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis
Alzahra Altalib, Chunhui Li, Haytham Ahmad Alewaidat +3
Cone-beam CT (CBCT) is routinely acquired during radiotherapy for patient setup, but its quantitative reliability is degraded by scatter, noise, and reconstruction artifacts, limit…
Direct Dual-Energy CT Material Decomposition using Model-based Denoising Diffusion Model
Hang Xu, Alexandre Bousse, Alessandro Perelli
Dual-energy X-ray Computed Tomography (DECT) constitutes an advanced technology which enables automatic decomposition of materials in clinical images without manual segmentation us…
Material Decomposition in Photon-Counting Computed Tomography with Diffusion Models: Comparative Study and Hybridization with Variational Regularizers
Corentin Vazia, Thore Dassow, Alexandre Bousse +6
Photon-counting computed tomography (PCCT) has emerged as a promising imaging technique, enabling spectral imaging and material decomposition (MD). However, images typically suffer…
Stochastic Multiresolution Image Sketching for Inverse Imaging Problems
Alessandro Perelli, Carola-Bibiane Schonlieb, Matthias J. Ehrhardt
A challenge in high-dimensional inverse problems is developing iterative solvers to find the accurate solution of regularized optimization problems with low computational cost. An…
Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field
Lan Jiang, Yuchao Zheng, Miao Yu +3
Accurate brain tumor segmentation remains a challenging task due to structural complexity and great individual differences of gliomas. Leveraging the pre-eminent detail resilience…