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ORCIDPavitra Krishnaswamy
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2020 – today
- 2025
[j6]Yang Yu
, Jiahao Wang, Weide Liu, Ivan Ho Mien, Pavitra Krishnaswamy, Xulei Yang, Jun Cheng:
Multimodal multitask similarity learning for vision language model on radiological images and reports. Neurocomputing 636: 130018 (2025)- 2024
- [j5]Mila Nambiar, Yong Mong Bee, Yu En Chan, Ivan Ho Mien, Feri Guretno, David Carmody, Phong Ching Lee, Sing Yi Chia, Nur Nasyitah Mohamed Salim, Pavitra Krishnaswamy:
A drug mix and dose decision algorithm for individualized type 2 diabetes management. npj Digit. Medicine 7(1) (2024) - [c20]Zhengyuan Liu, Siti Umairah Md. Salleh, Pavitra Krishnaswamy, Nancy F. Chen:
Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation. ClinicalNLP@NAACL 2024: 310-321 - 2023
- [c19]Zhengyuan Liu, Siti Umairah Md. Salleh, Hong Choon Oh, Pavitra Krishnaswamy, Nancy F. Chen:
Joint Dialogue Topic Segmentation and Categorization: A Case Study on Clinical Spoken Conversations. EMNLP (Industry Track) 2023: 185-193 - [c18]Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy:
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. KDD 2023: 4673-4684 - [c17]Yang Yu, Jiahao Wang, Ashish Jith Sreejith Kumar, Bryan Tan, Navya Vanjavaka, Nurul Hafidzah Rahim, Alistair Koh, Shaheen Low, Yih Yian Sitoh, Hanry Yu, Pavitra Krishnaswamy, Ivan Ho Mien:
A Multitask Framework for Label Refinement and Lesion Segmentation in Clinical Brain Imaging. MILLanD@MICCAI 2023: 60-70 - [i12]Milashini Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy:
Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications. CoRR abs/2302.07549 (2023) - 2022
- [c16]Huijuan Yang, Aaron S. Coyner, Feri Guretno, Ivan Ho Mien, Chuan Sheng Foo, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Pavitra Krishnaswamy:
A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings. ICASSP 2022: 1286-1290 - [c15]Sourav Kumar, Anantharaman Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh:
Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling. DeCaF/FAIR@MICCAI 2022: 119-129 - [c14]Shafa Balaram, Cuong Manh Nguyen, Ashraf Kassim, Pavitra Krishnaswamy:
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification. MICCAI (1) 2022: 675-685 - [i11]Zhengyuan Liu, Pavitra Krishnaswamy, Nancy F. Chen:
Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations. CoRR abs/2206.02428 (2022) - [i10]Shafa Balaram, Cuong Manh Nguyen, Ashraf Kassim, Pavitra Krishnaswamy:
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification. CoRR abs/2209.01858 (2022) - [i9]Sourav Kumar, Anantharaman Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh:
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling. CoRR abs/2209.05424 (2022) - 2021
- [j4]Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy:
Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean. Medical Image Anal. 73: 102148 (2021) - [j3]Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot:
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations. IEEE Trans. Medical Imaging 40(10): 2845-2856 (2021) - [c13]Wei Shi, Jiewen Wu, Xiwen Yang, Nancy F. Chen, Ivan Ho Mien, Jung-Jae Kim, Pavitra Krishnaswamy:
Analyzing Code Embeddings for Coding Clinical Narratives. ACL/IJCNLP (Findings) 2021: 4665-4672 - [c12]Yang Yu, Peng Hu, Jie Lin, Pavitra Krishnaswamy:
Multimodal Multitask Deep Learning for X-Ray Image Retrieval. MICCAI (5) 2021: 603-613 - [i8]Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy:
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean. CoRR abs/2108.04423 (2021) - 2020
- [c11]Fatemeh Fahimi, Yang Guo, Shao Chuen Tong, Angela Ng, Hwee Koon, Sharon Ong, Yu Bing, Bryan Choo, Weiling Huang, Sheldon Lee Shao Guang, Savitha Ramasamy, Wai Leng Chow, Hong Choon Oh, Pavitra Krishnaswamy:
A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure. AMIA 2020 - [c10]Zhengyuan Liu, Pavitra Krishnaswamy, Ai Ti Aw, Nancy F. Chen:
Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks. COLING (Industry) 2020: 228-235 - [c9]Xintong Li, Huijuan Yang, Zhiping Lin, Pavitra Krishnaswamy:
Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 146-154 - [c8]Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chuan Sheng Foo, Pavitra Krishnaswamy:
Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean. MICCAI (1) 2020: 624-634 - [i7]Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot:
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations. CoRR abs/2008.05571 (2020)
2010 – 2019
- 2019
- [c7]Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen, Pavitra Krishnaswamy, Rafael E. Banchs:
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding. ASRU 2019: 800-806 - [c6]Khalil Ouardini, Huijuan Yang, Balagopal Unnikrishnan, Manon Romain, Camille Garcin, Houssam Zenati, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Chandrasekhar, Pavitra Krishnaswamy, Chuan-Sheng Foo:
Towards Practical Unsupervised Anomaly Detection on Retinal Images. DART/MIL3ID@MICCAI 2019: 225-234 - [c5]Zhengyuan Liu, Jia Hui Hazel Lim, Nur Farah Ain Binte Sahimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee Shao Guang, Michael Ross Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen:
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. NAACL-HLT (2) 2019: 24-31 - [i6]Jin Chao, Ahmad Al Badawi, Balagopal Unnikrishnan, Jie Lin, Chan Fook Mun, James M. Brown, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Ramaseshan Chandrasekhar, Pavitra Krishnaswamy, Khin Mi Mi Aung:
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR abs/1901.10074 (2019) - [i5]Zhengyuan Liu, Jia Hui Hazel Lim, Nur Farah Ain Binte Sahimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee Shao Guang, Michael Ross Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen:
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. CoRR abs/1903.03530 (2019) - [i4]Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen, Pavitra Krishnaswamy, Rafael E. Banchs:
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding. CoRR abs/1910.07150 (2019) - [i3]Yang Guo, Zhengyuan Liu, Pavitra Krishnaswamy, Savitha Ramasamy:
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series. CoRR abs/1911.07572 (2019) - 2018
- [c4]Pavitra Krishnaswamy, Savitha Ramasamy, Abdullah Al-Dujaili, Srinath Sridharan, Geraldine Goh, Shao Chuen Tong, Khin Chaw Yu Aung, Gerard Leong Kui Toh, Michael Ross Macdonald, Sheldon Lee Shao Guang, Yan Cao, Suresh Sundaram, Chow Wai Leng:
A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. AAAI Workshops 2018: 463-464 - [c3]Jiewen Wu, Rafael E. Banchs, Luis Fernando D'Haro, Pavitra Krishnaswamy, Nancy F. Chen:
Attention-based Semantic Priming for Slot-filling. NEWS@ACL 2018: 22-26 - [i2]Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar:
Online Deep Learning: Growing RBM on the fly. CoRR abs/1803.02043 (2018) - [i1]Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy:
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR abs/1812.07832 (2018) - 2017
- [c2]Pavitra Krishnaswamy, Gabriel Obregon-Henao, Sheraz Khan, Behtash Babadi, Eugenio Iglesias, Matti S. Hämäläinen, Patrick L. Purdon:
Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data. AAAI Spring Symposia 2017 - 2016
- [j2]Pavitra Krishnaswamy, Giorgio Bonmassar, Catherine Poulsen, Eric T. Pierce, Patrick L. Purdon, Emery N. Brown:
Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression. NeuroImage 128: 398-412 (2016) - 2013
- [c1]Pavitra Krishnaswamy, Giorgio Bonmassar, Patrick L. Purdon, Emery N. Brown:
Reference-free harmonic regression technique to remove EEG-fMRI ballistocardiogram artifacts. EMBC 2013: 5426-5429 - 2011
- [j1]Pavitra Krishnaswamy, Emery N. Brown, Hugh M. Herr:
Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking. PLoS Comput. Biol. 7(3) (2011)
Coauthor Index
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