Pramit Saha

According to our database1, Pramit Saha authored at least 38 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation.
CoRR, June, 2025

DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging.
CoRR, June, 2025

Federated Continual 3D Segmentation With Single-round Communication.
CoRR, March, 2025

Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos.
CoRR, March, 2025

Expert-Agnostic Learning to Defer.
CoRR, February, 2025

TIER-LOC: Visual Query-based Video Clip Localization in fetal ultrasound videos with a multi-tier transformer.
Medical Image Anal., 2025

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Using MIRNet for Low Light Image Enhancement.
Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025

Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis.
Big Data Cogn. Comput., September, 2024

F<sup>3</sup>OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics.
CoRR, 2024

The Promise of Analog Deep Learning: Recent Advances, Challenges and Opportunities.
CoRR, 2024

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities.
CoRR, 2024

Video-based Exercise Classification and Activated Muscle Group Prediction with Hybrid X3D-SlowFast Network.
CoRR, 2024

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection.
CoRR, 2024

STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Investigating YOLO Models Towards Outdoor Obstacle Detection For Visually Impaired People.
CoRR, 2023

Forecasting Lithium-Ion Battery Longevity with Limited Data Availability: Benchmarking Different Machine Learning Algorithms.
CoRR, 2023

How Hard Is Squash? - Towards Information Theoretic Analysis of Motor Behavior in Squash.
CoRR, 2023

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021
SPEAK WITH YOUR HANDS - Using Continuous Hand Gestures to control Articulatory Speech Synthesizer.
CoRR, 2021

Vocal tract area function extraction using ultrasound for articulatory speech synthesis.
Proceedings of the 11th ISCA Speech Synthesis Workshop, 2021

2020
Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Joint Articulatory-Acoustic Representations with Normalizing Flows.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019
EEG-to-F0: Establishing artificial neuro-muscular pathway for kinematics-based fundamental frequency control.
CoRR, 2019

SPEAK YOUR MIND! Towards Imagined Speech Recognition with Hierarchical Deep Learning.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts.
Proceedings of the IEEE International Conference on Acoustics, 2019

Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sound-Stream II: Towards Real-Time Gesture Controlled Articulatory Sound Synthesis.
CoRR, 2018

Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning.
CoRR, 2018

Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2016
Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images.
Int. J. Comput. Assist. Radiol. Surg., 2016

2015
A fast local gradient based super-resolution image reconstruction algorithm with fuzzy hyper-bias learning and sparse monitoring paradigm.
Proceedings of the 2nd IEEE International Conference on Recent Trends in Information Systems, 2015


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