| 2024 | MICCAI | How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models. | Amirhosein Toosi, Sara Harsini, Franois Bnard, Carlos F. Uribe, Arman Rahmim |
| 2022 | MICCAI | A U-Net Convolutional Neural Network with Multiclass Dice Loss for Automated Segmentation of Tumors and Lymph Nodes from Head and Neck Cancer PET/CT Images. | Shadab Ahamed, Luke Polson, Arman Rahmim |
| 2022 | MICCAI | Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer. | Mohammad R. Salmanpour, Ghasem Hajianfar, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Mohammad Mehdi Hosseini, Ehsanhosein Kalatehjari, Ali Harimi, Arman Rahmim |
| 2021 | MICCAI | Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer. | Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Mahdi Ghaemi, Arman Rahmim |
| 2021 | MICCAI | Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. | Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim |
| 2020 | MICCAI | GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images. | Fereshteh Yousefirizi, Arman Rahmim |
| 2016 | MICCAI | Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate. | Fereshteh Aalamifar, Reza Seifabadi, Marcelino Bernardo, Ayele H. Negussie, Baris Turkbey, Mara Merino, Peter A. Pinto, Arman Rahmim, Bradford J. Wood, Emad M. Boctor |