A fast local gradient based super-resolution image reconstruction algorithm with fuzzy hyper-bias learning and sparse monitoring paradigm. - Soumya Goswami; Satrajit Chakrabarty; Pramit Saha (ReTIS, 2015)

Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images. - Ashis K. Dhara; Sudipta Mukhopadhyay; Pramit Saha; Mandeep Garg; Niranjan Khandelwal (Int. J. Comput. Assist. Radiol. Surg., 2016)

Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI. - Pramit Saha; Praneeth Srungarapu; Sidney S. Fels (INTERSPEECH, 2018)

Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning. - Amir H. Abdi; Pramit Saha; Praneeth Srungarapu; Sidney S. Fels (CoRR, 2018)

Sound-Stream II: Towards Real-Time Gesture Controlled Articulatory Sound Synthesis. - Pramit Saha; Debasish Ray Mohapatra; Praneeth SV; Sidney S. Fels (CoRR, 2018)

Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG. - Pramit Saha; Sidney S. Fels (AAAI, 2019)

Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts. - Pramit Saha; Sidney S. Fels; Muhammad Abdul-Mageed (ICASSP, 2019)

SPEAK YOUR MIND! Towards Imagined Speech Recognition with Hierarchical Deep Learning. - Pramit Saha; Muhammad Abdul-Mageed; Sidney S. Fels (INTERSPEECH, 2019)

EEG-to-F0: Establishing artificial neuro-muscular pathway for kinematics-based fundamental frequency control. - Himanshu Goyal; Pramit Saha; Bryan Gick; Sidney S. Fels (CoRR, 2019)

Learning Joint Articulatory-Acoustic Representations with Normalizing Flows. - Pramit Saha; Sidney S. Fels (INTERSPEECH, 2020)

Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images. - Pramit Saha; Yadong Liu; Bryan Gick; Sidney S. Fels (MICCAI (3), 2020)

Vocal tract area function extraction using ultrasound for articulatory speech synthesis. - Debasish Ray Mohapatra; Pramit Saha; Yadong Liu; Bryan Gick; Sidney Fels (SSW, 2021)

SPEAK WITH YOUR HANDS - Using Continuous Hand Gestures to control Articulatory Speech Synthesizer. - Pramit Saha; Debasish Ray Mohapatra; Sidney S. Fels (CoRR, 2021)

Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos. - Divyanshu Mishra; He Zhao 002; Pramit Saha; Aris T. Papageorghiou; J. Alison Noble (MICCAI (1), 2023)

Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data. - Pramit Saha; Divyanshu Mishra; J. Alison Noble (MICCAI (2), 2023)

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. - Felix Wagner 001; Zeju Li; Pramit Saha; Konstantinos Kamnitsas (MLMI@MICCAI (2), 2023)

How Hard Is Squash? - Towards Information Theoretic Analysis of Motor Behavior in Squash. - Kavya Anand; Pramit Saha (CoRR, 2023)

Forecasting Lithium-Ion Battery Longevity with Limited Data Availability: Benchmarking Different Machine Learning Algorithms. - Hudson Hilal; Pramit Saha (CoRR, 2023)

Investigating YOLO Models Towards Outdoor Obstacle Detection For Visually Impaired People. - Chenhao He; Pramit Saha (CoRR, 2023)

STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos. - Divyanshu Mishra; Pramit Saha; He Zhao 002; Olga Patey; Aris T. Papageorghiou; J. Alison Noble (MICCAI (4), 2024)

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection. - Pramit Saha; Divyanshu Mishra; Felix Wagner 001; Konstantinos Kamnitsas; J. Alison Noble (CoRR, 2024)

Video-based Exercise Classification and Activated Muscle Group Prediction with Hybrid X3D-SlowFast Network. - Manvik Pasula; Pramit Saha (CoRR, 2024)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. - Felix Wagner 001; Wentian Xu; Pramit Saha; Ziyun Liang; Daniel Whitehouse; David K. Menon; Natalie Voets; J. Alison Noble; Konstantinos Kamnitsas (CoRR, 2024)

The Promise of Analog Deep Learning: Recent Advances, Challenges and Opportunities. - Aditya Datar; Pramit Saha (CoRR, 2024)

F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. - Pramit Saha; Felix Wagner 001; Divyanshu Mishra; Can Peng; Anshul Thakur; David A. Clifton; Konstantinos Kamnitsas; J. Alison Noble (CoRR, 2024)

Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis. - Netzahualcoyotl Hernandez-Cruz; Pramit Saha; Md. Mostafa Kamal Sarker; J. Alison Noble (Big Data Cogn. Comput., 2024)

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 002; Netzahualcoyotl Hernandez-Cruz; Olga Patey; Aris T. Papageorghiou; J. Alison Noble (AAAI, 2025)

FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning. - Pramit Saha; Divyanshu Mishra; Felix Wagner 001; Konstantinos Kamnitsas; J. Alison Noble (AAAI, 2025)

Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection. - Pramit Saha; Divyanshu Mishra; Felix Wagner 001; Konstantinos Kamnitsas; J. Alison Noble (AAAI, 2025)

Using MIRNet for Low Light Image Enhancement. - Ethan Chen; Robail Yasrab; Pramit Saha (BIOSTEC (1), 2025)

F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. - Pramit Saha; Felix Wagner 001; Divyanshu Mishra; Can Peng; Anshul Thakur; David A. Clifton; Konstantinos Kamnitsas; J. Alison Noble (CVPR, 2025)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. - Felix Wagner 001; Wentian Xu; Pramit Saha; Ziyun Liang; Daniel Whitehouse; David K. Menon; Virginia F. J. Newcombe; Natalie Voets; J. Alison Noble; Konstantinos Kamnitsas (WACV, 2025)

TIER-LOC: Visual Query-based Video Clip Localization in fetal ultrasound videos with a multi-tier transformer. - Divyanshu Mishra; Pramit Saha; He Zhao 002; Netzahualcoyotl Hernandez-Cruz; Olga Patey; Aris T. Papageorghiou; J. Alison Noble (Medical Image Anal., 2025)

Expert-Agnostic Learning to Defer. - Joshua Strong; Pramit Saha; Yasin Ibrahim; Cheng Ouyang; J. Alison Noble (CoRR, 2025)

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 (CoRR, 2025)

Federated Continual 3D Segmentation With Single-round Communication. - Can Peng; Qianhui Men; Pramit Saha; Qianye Yang; Cheng Ouyang; J. Alison Noble (CoRR, 2025)

DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging. - Felix Wagner 001; Pramit Saha; Harry Anthony; J. Alison Noble; Konstantinos Kamnitsas (CoRR, 2025)

Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation. - Divyanshu Mishra; Mohammadreza Salehi; Pramit Saha; Olga Patey; Aris T. Papageorghiou; Yuki M. Asano; J. Alison Noble (CoRR, 2025)