| 2025 | AIME | Adaptive Clustering for EGFR Amplification Prediction in Glioblastoma: A Variational Autoencoder-Dirichlet Bayesian Gaussian Approach. | Homay Danaei Mehr, Cong Cong, Imran Noorani, Antonio Di Ieva, Sidong Liu |
| 2025 | IJCNN | Source-free Few-shot Segmentation for Rarer Brain Tumors. | Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song |
| 2025 | MICCAI | FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-parametric MRI. | Somayeh Farahani, Marjaneh Hejazi, Antonio Di Ieva, Sidong Liu |
| 2025 | MICCAI | FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality. | Wenjin Zhong, Cong Cong, Zihan Wang, Zeya Yan, Antonio Di Ieva, Sidong Liu |
| 2024 | AIME | AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning. | Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu |
| 2024 | AIME | Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research. | Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu |
| 2022 | MICCAI | Adaptive Unified Contrastive Learning for Imbalanced Classification. | Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song |
| 2021 | DICTA | Two-stage U-Net++ for Medical Image Segmentation. | Abdulla Al Suman, Shubham Sarda, Md. Asikuzzaman, Alexandra Louise Webb, Diana M. Perriman, Murat Tahtali, Antonio Di Ieva, Mark R. Pickering |
| 2021 | MICCAI | Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. | Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song |
| 2014 | ISCAS | Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations. | Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva |