| 2025 | AAAI | MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer. | Divyanshu Mishra, Pramit Saha, He Zhao, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, J. Alison Noble |
| 2025 | AAAI | FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning. | Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble |
| 2025 | AAAI | Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection. | Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble |
| 2025 | CVPR | F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. | Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble |
| 2025 | MICCAI | Self-supervised Normality Learning and Divergence Vector-Guided Model Merging for Zero-Shot Congenital Heart Disease Detection in Fetal Ultrasound Videos. | Pramit Saha, Divyanshu Mishra, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, Yuki M. Asano, J. Alison Noble |
| 2025 | WACV | Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. | Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas |
| 2024 | MICCAI | STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos. | Divyanshu Mishra, Pramit Saha, He Zhao, Olga Patey, Aris T. Papageorghiou, J. Alison Noble |
| 2023 | MICCAI | Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos. | Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble |
| 2023 | MICCAI | Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data. | Pramit Saha, Divyanshu Mishra, J. Alison Noble |
| 2020 | Interspeech | Learning Joint Articulatory-Acoustic Representations with Normalizing Flows. | Pramit Saha, Sidney S. Fels |
| 2020 | MICCAI | Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images. | Pramit Saha, Yadong Liu, Bryan Gick, Sidney S. Fels |
| 2019 | AAAI | Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG. | Pramit Saha, Sidney S. Fels |
| 2019 | ICASSP | Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts. | Pramit Saha, Sidney S. Fels, Muhammad Abdul-Mageed |
| 2019 | Interspeech | SPEAK YOUR MIND! Towards Imagined Speech Recognition with Hierarchical Deep Learning. | Pramit Saha, Muhammad Abdul-Mageed, Sidney S. Fels |
| 2018 | Interspeech | Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI. | Pramit Saha, Praneeth Srungarapu, Sidney S. Fels |