| 2025 | ICIP | Learning from PU Data Using Disentangled Representations. | Omar Zamzam, Haleh Akrami, Mahdi Soltanolkotabi, Richard M. Leahy |
| 2024 | ICASSP | Beta Quantile Regression for Robust Estimation of Uncertainty in the Presence of Outliers. | Haleh Akrami, Omar Zamzam, Anand A. Joshi, Sergl Aydre, Richard M. Leahy |
| 2023 | ICASSP | Speech MOS Multi-Task Learning and Rater Bias Correction. | Haleh Akrami, Hannes Gamper |
| 2023 | ICASSP | Learning From Positive and Unlabeled Data Using Observer-GAN. | Omar Zamzam, Haleh Akrami, Richard M. Leahy |
| 2022 | MICCAI | Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels. | Haleh Akrami, Tosha Shah, Amir Vajdi, Andrew Brown, Radha Krishnan, Razvan Cristescu, Antong Chen |
| 2019 | MICCAI | A Matched Filter Decomposition of fMRI into Resting and Task Components. | Anand A. Joshi, Haleh Akrami, Jian Li, Richard M. Leahy |
| 2018 | MICCAI | rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform. | Anand A. Joshi, Jian Li, Minqi Chong, Haleh Akrami, Richard M. Leahy |