Pavitra Krishnaswamy
Orcid: 0000-0001-5893-4306
According to our database1,
Pavitra Krishnaswamy
authored at least 28 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
A Multitask Framework for Label Refinement and Lesion Segmentation in Clinical Brain Imaging.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Joint Dialogue Topic Segmentation and Categorization: A Case Study on Clinical Spoken Conversations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
2022
Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations.
CoRR, 2022
Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations.
IEEE Trans. Medical Imaging, 2021
Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean.
Medical Image Anal., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure.
Proceedings of the AMIA 2020, 2020
2019
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series.
CoRR, 2019
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images.
CoRR, 2019
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2018
CoRR, 2018
Proceedings of the Seventh Named Entities Workshop, 2018
A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data.
Proceedings of the 2017 AAAI Spring Symposia, 2017
2016
Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression.
NeuroImage, 2016
2013
Reference-free harmonic regression technique to remove EEG-fMRI ballistocardiogram artifacts.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2011
Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking.
PLoS Comput. Biol., 2011