| 2025 | MICCAI | VTransFormer: A Deep Unrolled Foundation Model for Multi-center Multimodal Accelerated Cardiac MRI Reconstruction. | Neda Tavakoli, Mingzhen Li, Santiago Lpez-Tapia, Amir Ali Rahsepar, Aggelos K. Katsaggelos, Daniel Kim |
| 2024 | MICCAI | DRL-STNet: Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation via Disentangled Representation Learning. | Hui Lin, Florian Schiffers, Santiago Lpez-Tapia, Neda Tavakoli, Daniel Kim, Aggelos K. Katsaggelos |
| 2024 | MICCAI | GenSegNet: Leveraging Synthetic Sequences and Pseudo Labels for Multi-sequence Myocardial Pathology Segmentation. | Hui Lin, Neda Tavakoli, Florian Schiffers, Santiago Lpez-Tapia, Daniel Kim, Aggelos K. Katsaggelos |
| 2020 | COMPSAC | Seq2Image: Sequence Analysis using Visualization and Deep Convolutional Neural Network. | Neda Tavakoli |
| 2020 | ICMLA | Optimizing CNN using Fast Fourier Transformation for Object Recognition. | Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink |
| 2019 | COMPSAC | Modeling Genome Data Using Bidirectional LSTM. | Neda Tavakoli |
| 2018 | ICMLA | A Comparison of ARIMA and LSTM in Forecasting Time Series. | Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin |