RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images. - Amine Amyar; Su Ruan; Pierre Vera; Pierre Decazes; Romain Modzelewski (ICBRA, 2020)

Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation. - Amine Amyar; Romain Modzelewski; Hua Li 003; Su Ruan (Comput. Biol. Medicine, 2020)

Weakly Supervised PET Tumor Detection Using Class Response. - Amine Amyar; Romain Modzelewski; Pierre Vera; Vincent Morard; Su Ruan (CoRR, 2020)

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics. - Fereshteh Yousefirizi; Pierre Decazes; Amine Amyar; Su Ruan; Babak Saboury; Arman Rahmim (CoRR, 2021)

Deep Learning for Outcome Prediction in Cancer using Positron Emission Tomography Images. (Apprentissage profond pour la prédiction de la réponse au traitement et la survie en cancérologie en imagerie TEP). - Amine Amyar (2021)

Multi-task multi-scale learning for outcome prediction in 3D PET images. - Amine Amyar; Romain Modzelewski; Pierre Vera; Vincent Morard; Su Ruan (Comput. Biol. Medicine, 2022)

Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction. - Amine Amyar; Romain Modzelewski; Pierre Vera; Vincent Morard; Su Ruan (J. Imaging, 2022)

Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization. - Amine Amyar; Shiro Nakamori; Manuel Morales; Siyeop Yoon; Jennifer Rodriguez; Jiwon Kim; Robert M. Judd; Jonathan W. Weinsaft; Reza Nezafat (MICCAI (2), 2023)

Myocardial Scar Enhancement in LGE Cardiac MRI Using Localized Diffusion. - Marta Hasny; Omer B. Demirel; Amine Amyar; Shahrooz Faghihroohi; Reza Nezafat (MICCAI (1), 2024)