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Pramit Saha
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2020 – today
- 2024
- [j2]Netzahualcoyotl Hernandez-Cruz, Pramit Saha, Md. Mostafa Kamal Sarker, J. Alison Noble:
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis. Big Data Cogn. Comput. 8(9): 99 (2024) - [c12]Divyanshu Mishra, Pramit Saha, He Zhao, Olga Patey, Aris T. Papageorghiou, J. Alison Noble:
STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos. MICCAI (4) 2024: 742-752 - [i20]Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble:
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection. CoRR abs/2402.05294 (2024) - [i19]Manvik Pasula, Pramit Saha:
Video-based Exercise Classification and Activated Muscle Group Prediction with Hybrid X3D-SlowFast Network. CoRR abs/2406.06703 (2024) - [i18]Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas:
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. CoRR abs/2406.11636 (2024) - [i17]Aditya Datar, Pramit Saha:
The Promise of Analog Deep Learning: Recent Advances, Challenges and Opportunities. CoRR abs/2406.12911 (2024) - 2023
- [c11]Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos. MICCAI (1) 2023: 216-226 - [c10]Pramit Saha, Divyanshu Mishra, J. Alison Noble:
Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data. MICCAI (2) 2023: 414-424 - [c9]Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas:
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. MLMI@MICCAI (2) 2023: 253-263 - [i16]Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas:
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. CoRR abs/2308.16735 (2023) - [i15]Pramit Saha, Divyanshu Mishra, J. Alison Noble:
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data. CoRR abs/2310.18815 (2023) - [i14]Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos. CoRR abs/2311.00469 (2023) - [i13]Kavya Anand, Pramit Saha:
How Hard Is Squash? - Towards Information Theoretic Analysis of Motor Behavior in Squash. CoRR abs/2311.00514 (2023) - [i12]Hudson Hilal, Pramit Saha:
Forecasting Lithium-Ion Battery Longevity with Limited Data Availability: Benchmarking Different Machine Learning Algorithms. CoRR abs/2312.05717 (2023) - [i11]Chenhao He, Pramit Saha:
Investigating YOLO Models Towards Outdoor Obstacle Detection For Visually Impaired People. CoRR abs/2312.07571 (2023) - 2021
- [c8]Debasish Ray Mohapatra, Pramit Saha, Yadong Liu, Bryan Gick, Sidney Fels:
Vocal tract area function extraction using ultrasound for articulatory speech synthesis. SSW 2021: 90-95 - [i10]Pramit Saha, Debasish Ray Mohapatra, Sidney S. Fels:
SPEAK WITH YOUR HANDS - Using Continuous Hand Gestures to control Articulatory Speech Synthesizer. CoRR abs/2102.01640 (2021) - 2020
- [c7]Pramit Saha, Sidney S. Fels:
Learning Joint Articulatory-Acoustic Representations with Normalizing Flows. INTERSPEECH 2020: 3196-3200 - [c6]Pramit Saha, Yadong Liu, Bryan Gick, Sidney S. Fels:
Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images. MICCAI (3) 2020: 473-482 - [i9]Pramit Saha, Sidney S. Fels:
Learning Joint Articulatory-Acoustic Representations with Normalizing Flows. CoRR abs/2005.09463 (2020) - [i8]Pramit Saha, Yadong Liu, Bryan Gick, Sidney S. Fels:
Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images. CoRR abs/2006.16367 (2020)
2010 – 2019
- 2019
- [c5]Pramit Saha, Sidney S. Fels:
Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG. AAAI 2019: 10019-10020 - [c4]Pramit Saha, Sidney S. Fels, Muhammad Abdul-Mageed:
Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts. ICASSP 2019: 2762-2766 - [c3]Pramit Saha, Muhammad Abdul-Mageed, Sidney S. Fels:
SPEAK YOUR MIND! Towards Imagined Speech Recognition with Hierarchical Deep Learning. INTERSPEECH 2019: 141-145 - [i7]Pramit Saha, Sidney S. Fels:
Hierarchical Deep Feature Learning For Decoding Imagined Speech From EEG. CoRR abs/1904.04352 (2019) - [i6]Pramit Saha, Muhammad Abdul-Mageed, Sidney S. Fels:
Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts. CoRR abs/1904.04358 (2019) - [i5]Pramit Saha, Muhammad Abdul-Mageed, Sidney S. Fels:
SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning. CoRR abs/1904.05746 (2019) - [i4]Himanshu Goyal, Pramit Saha, Bryan Gick, Sidney S. Fels:
EEG-to-F0: Establishing artificial neuro-muscular pathway for kinematics-based fundamental frequency control. CoRR abs/1910.02020 (2019) - 2018
- [c2]Pramit Saha, Praneeth Srungarapu, Sidney S. Fels:
Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI. INTERSPEECH 2018: 1249-1253 - [i3]Pramit Saha, Praneeth Srungarapu, Sidney S. Fels:
Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI. CoRR abs/1807.11089 (2018) - [i2]Amir H. Abdi, Pramit Saha, Praneeth Srungarapu, Sidney S. Fels:
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning. CoRR abs/1809.06121 (2018) - [i1]Pramit Saha, Debasish Ray Mohapatra, Praneeth SV, Sidney S. Fels:
Sound-Stream II: Towards Real-Time Gesture Controlled Articulatory Sound Synthesis. CoRR abs/1811.08029 (2018) - 2016
- [j1]Ashis K. Dhara, Sudipta Mukhopadhyay, Pramit Saha, Mandeep Garg, Niranjan Khandelwal:
Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images. Int. J. Comput. Assist. Radiol. Surg. 11(3): 337-349 (2016) - 2015
- [c1]Soumya Goswami, Satrajit Chakrabarty, Pramit Saha:
A fast local gradient based super-resolution image reconstruction algorithm with fuzzy hyper-bias learning and sparse monitoring paradigm. ReTIS 2015: 399-404
Coauthor Index
aka: Sidney Fels
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last updated on 2024-11-07 20:33 CET by the dblp team
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