Pavitra Krishnaswamy

38 papers A* 1C 1Misc 2Journal 18Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multimodal multitask similarity learning for vision language model on radiological images and reports. Neurocomputing Yang Yu, Jiahao Wang, Weide Liu, Ivan Ho Mien, Pavitra Krishnaswamy, XuLei Yang, Jun Cheng
2024	J	`jnl`	A drug mix and dose decision algorithm for individualized type 2 diabetes management. npj Digit. Medicine 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
2024	—	`conf`	Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation. ClinicalNLP@NAACL Zhengyuan Liu, Siti Umairah Md. Salleh, Pavitra Krishnaswamy, Nancy F. Chen
2023	—	`conf`	A Multitask Framework for Label Refinement and Lesion Segmentation in Clinical Brain Imaging. MILLanD@MICCAI 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
2023	J	`jnl`	Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications. CoRR Milashini Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
2023	A*	`conf`	Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. KDD Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
2023	—	`conf`	Joint Dialogue Topic Segmentation and Categorization: A Case Study on Clinical Spoken Conversations. EMNLP (Industry Track) Zhengyuan Liu, Siti Umairah Md. Salleh, Hong Choon Oh, Pavitra Krishnaswamy, Nancy F. Chen
2022	Misc	`conf`	A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings. ICASSP Huijuan Yang, Aaron S. Coyner, Feri Guretno, Ivan Ho Mien, Chuan Sheng Foo, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Pavitra Krishnaswamy
2022	—	`conf`	Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification. MICCAI (1) Shafa Balaram, Cuong Manh Nguyen, Ashraf Kassim, Pavitra Krishnaswamy
2022	J	`jnl`	Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification. CoRR Shafa Balaram, Cuong Manh Nguyen, Ashraf Kassim, Pavitra Krishnaswamy
2022	J	`jnl`	Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations. CoRR Zhengyuan Liu, Pavitra Krishnaswamy, Nancy F. Chen
2022	—	`conf`	Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling. DeCaF/FAIR@MICCAI Sourav Kumar, Anantharaman Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh
2022	J	`jnl`	Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling. CoRR Sourav Kumar, Anantharaman Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh
2021	—	`conf`	Analyzing Code Embeddings for Coding Clinical Narratives. ACL/IJCNLP (Findings) Wei Shi, Jiewen Wu, Xiwen Yang, Nancy F. Chen, Ivan Ho Mien, Jung-Jae Kim, Pavitra Krishnaswamy
2021	—	`conf`	Multimodal Multitask Deep Learning for X-Ray Image Retrieval. MICCAI (5) Yang Yu, Peng Hu, Jie Lin, Pavitra Krishnaswamy
2021	J	`jnl`	Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations. IEEE Trans. Medical Imaging Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot
2021	J	`jnl`	Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean. CoRR Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy
2021	J	`jnl`	Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean. Medical Image Anal. Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy
2020	Misc	`conf`	A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure. AMIA 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
2020	J	`jnl`	Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations. CoRR Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot
2020	—	`conf`	Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean. MICCAI (1) Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chuan Sheng Foo, Pavitra Krishnaswamy
2020	—	`conf`	Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection. iMIMIC/MIL3ID/LABELS@MICCAI Xintong Li, Huijuan Yang, Zhiping Lin, Pavitra Krishnaswamy
2020	—	`conf`	Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks. COLING (Industry) Zhengyuan Liu, Pavitra Krishnaswamy, Ai Ti Aw, Nancy F. Chen
2019	J	`jnl`	Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series. CoRR Yang Guo, Zhengyuan Liu, Pavitra Krishnaswamy, Savitha Ramasamy
2019	J	`jnl`	CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR 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
2019	—	`conf`	Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. NAACL-HLT (2) 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
2019	J	`jnl`	Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. CoRR 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
2019	C	`conf`	Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding. ASRU Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen, Pavitra Krishnaswamy, Rafael E. Banchs
2019	J	`jnl`	Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding. CoRR Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen, Pavitra Krishnaswamy, Rafael E. Banchs
2019	—	`conf`	Towards Practical Unsupervised Anomaly Detection on Retinal Images. DART/MIL3ID@MICCAI 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
2018	—	`conf`	A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. AAAI Workshops 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
2018	—	`conf`	Attention-based Semantic Priming for Slot-filling. NEWS@ACL Jiewen Wu, Rafael E. Banchs, Luis Fernando D'Haro, Pavitra Krishnaswamy, Nancy F. Chen
2018	J	`jnl`	Online Deep Learning: Growing RBM on the fly. CoRR Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar
2018	J	`jnl`	Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy
2017	—	`conf`	Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data. AAAI Spring Symposia Pavitra Krishnaswamy, Gabriel Obregon-Henao, Sheraz Khan, Behtash Babadi, Eugenio Iglesias, Matti S. Hämäläinen, Patrick L. Purdon
2016	J	`jnl`	Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression. NeuroImage Pavitra Krishnaswamy, Giorgio Bonmassar, Catherine Poulsen, Eric T. Pierce, Patrick L. Purdon, Emery N. Brown
2013	—	`conf`	Reference-free harmonic regression technique to remove EEG-fMRI ballistocardiogram artifacts. EMBC Pavitra Krishnaswamy, Giorgio Bonmassar, Patrick L. Purdon, Emery N. Brown
2011	J	`jnl`	Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking. PLoS Comput. Biol. Pavitra Krishnaswamy, Emery N. Brown, Hugh M. Herr