Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking. - Pavitra Krishnaswamy; Emery N. Brown; Hugh M. Herr (PLoS Comput. Biol., 2011)

Reference-free harmonic regression technique to remove EEG-fMRI ballistocardiogram artifacts. - Pavitra Krishnaswamy; Giorgio Bonmassar; Patrick L. Purdon; Emery N. Brown (EMBC, 2013)

Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression. - Pavitra Krishnaswamy; Giorgio Bonmassar; Catherine Poulsen; Eric T. Pierce; Patrick L. Purdon; Emery N. Brown (NeuroImage, 2016)

Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data. - Pavitra Krishnaswamy; Gabriel Obregon-Henao; Sheraz Khan 002; Behtash Babadi; Eugenio Iglesias; Matti S. Hämäläinen; Patrick L. Purdon (AAAI Spring Symposia, 2017)

A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. - 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 002; et al. (AAAI Workshops, 2018)

Attention-based Semantic Priming for Slot-filling. - Jiewen Wu; Rafael E. Banchs; Luis Fernando D'Haro; Pavitra Krishnaswamy; Nancy F. Chen (NEWS@ACL, 2018)

Online Deep Learning: Growing RBM on the fly. - Savitha Ramasamy; Kanagasabai Rajaraman; Pavitra Krishnaswamy; Vijay Chandrasekhar 001 (CoRR, 2018)

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. - Bruno Lecouat; Ken Chang; Chuan-Sheng Foo; Balagopal Unnikrishnan; James M. Brown 001; Houssam Zenati; Andrew Beers; Vijay Chandrasekhar 001; Jayashree Kalpathy-Cramer; Pavitra Krishnaswamy (CoRR, 2018)

Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding. - Jiewen Wu; Luis Fernando D'Haro; Nancy F. Chen; Pavitra Krishnaswamy; Rafael E. Banchs (ASRU, 2019)

Towards Practical Unsupervised Anomaly Detection on Retinal Images. - Khalil Ouardini; Huijuan Yang; Balagopal Unnikrishnan; Manon Romain; Camille Garcin; Houssam Zenati; J. Peter Campbell; Michael F. Chiang; Jayashree Kalpathy-Cramer; Vijay Chandrasekhar 001; Pavitra Krishnaswamy; Chuan-Sheng Foo (DART/MIL3ID@MICCAI, 2019)

Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. - 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 (NAACL-HLT (2), 2019)

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. - Jin Chao; Ahmad Al Badawi; Balagopal Unnikrishnan; Jie Lin 001; Chan Fook Mun; James M. Brown 001; J. Peter Campbell; Michael F. Chiang; Jayashree Kalpathy-Cramer; Vijay Ramaseshan Chandrasekhar; Pavitra Krishnaswamy; Khin Mi Mi Aung (CoRR, 2019)

Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series. - Yang Guo; Zhengyuan Liu; Pavitra Krishnaswamy; Savitha Ramasamy (CoRR, 2019)

A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure. - 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; et al. (AMIA, 2020)

Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks. - Zhengyuan Liu; Pavitra Krishnaswamy; Ai Ti Aw; Nancy F. Chen (COLING (Industry), 2020)

Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection. - Xintong Li; Huijuan Yang; Zhiping Lin 001; Pavitra Krishnaswamy (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean. - Balagopal Unnikrishnan; Cuong Manh Nguyen; Shafa Balaram; Chuan Sheng Foo; Pavitra Krishnaswamy (MICCAI (1), 2020)

Analyzing Code Embeddings for Coding Clinical Narratives. - Wei Shi 003; Jiewen Wu; Xiwen Yang; Nancy F. Chen; Ivan Ho Mien; Jung-Jae Kim 001; Pavitra Krishnaswamy (ACL/IJCNLP (Findings), 2021)

Multimodal Multitask Deep Learning for X-Ray Image Retrieval. - Yang Yu 079; Peng Hu; Jie Lin; Pavitra Krishnaswamy (MICCAI (5), 2021)

Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean. - Balagopal Unnikrishnan; Cuong Manh Nguyen; Shafa Balaram; Chao Li; Chuan Sheng Foo; Pavitra Krishnaswamy (Medical Image Anal., 2021)

Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations. - Navid Alemi Koohbanani; Balagopal Unnikrishnan; Syed Ali Khurram; Pavitra Krishnaswamy; Nasir M. Rajpoot (IEEE Trans. Medical Imaging, 2021)

A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings. - Huijuan Yang; Aaron S. Coyner; Feri Guretno; Ivan Ho Mien; Chuan Sheng Foo; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Pavitra Krishnaswamy (ICASSP, 2022)

Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification. - Shafa Balaram; Cuong Manh Nguyen; Ashraf Kassim; Pavitra Krishnaswamy (MICCAI (1), 2022)

Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling. - Sourav Kumar; Anantharaman Lakshminarayanan; Ken Chang; Feri Guretno; Ivan Ho Mien; Jayashree Kalpathy-Cramer; Pavitra Krishnaswamy; Praveer Singh (DeCaF/FAIR@MICCAI, 2022)

Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations. - Zhengyuan Liu; Pavitra Krishnaswamy; Nancy F. Chen (CoRR, 2022)

Joint Dialogue Topic Segmentation and Categorization: A Case Study on Clinical Spoken Conversations. - Zhengyuan Liu; Siti Umairah Md. Salleh; Hong Choon Oh; Pavitra Krishnaswamy; Nancy F. Chen (EMNLP (Industry Track), 2023)

Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. - Mila Nambiar; Supriyo Ghosh; Priscilla Ong; Yu En Chan; Yong Mong Bee; Pavitra Krishnaswamy (KDD, 2023)

A Multitask Framework for Label Refinement and Lesion Segmentation in Clinical Brain Imaging. - Yang Yu 079; 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 (MILLanD@MICCAI, 2023)

Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation. - Zhengyuan Liu; Siti Umairah Md. Salleh; Pavitra Krishnaswamy; Nancy F. Chen (ClinicalNLP@NAACL, 2024)

A drug mix and dose decision algorithm for individualized type 2 diabetes management. - 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 (npj Digit. Medicine, 2024)

Multimodal multitask similarity learning for vision language model on radiological images and reports. - Yang Yu 079; Jiahao Wang; Weide Liu; Ivan Ho Mien; Pavitra Krishnaswamy; Xulei Yang; Jun Cheng 003 (Neurocomputing, 2025)