| Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii S Wang, MBA McDermott, G Chauhan, M Ghassemi, MC Hughes, ... Proceedings of the ACM conference on health, inference, and learning, 222-235, 2020 | 187 | 2020 |
| Joint modeling of chest radiographs and radiology reports for pulmonary edema assessment G Chauhan, R Liao, W Wells, J Andreas, X Wang, S Berkowitz, S Horng, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 54 | 2020 |
| Rethinking clinical prediction: why machine learning must consider year of care and feature aggregation B Nestor, M McDermott, G Chauhan, T Naumann, MC Hughes, ... arXiv preprint arXiv:1811.12583, 2018 | 43 | 2018 |
| Explainable deep learning in healthcare: A methodological survey from an attribution view D Jin, E Sergeeva, WH Weng, G Chauhan, P Szolovits WIREs Mechanisms of Disease 14 (3), e1548, 2022 | 40 | 2022 |
| A new approach to animacy detection L Jahan, G Chauhan, MA Finlayson Proceedings of the 27th International Conference on Computational Linguistics, 2018 | 26 | 2018 |
| Modeling occupant-building-appliance interaction for energy waste analysis T Carmenate, P Inyim, N Pachekar, G Chauhan, L Bobadilla, M Batouli, ... Procedia Engineering 145, 42-49, 2016 | 24 | 2016 |
| How good is NLP? A sober look at NLP tasks through the lens of social impact Z Jin, G Chauhan, B Tse, M Sachan, R Mihalcea arXiv preprint arXiv:2106.02359, 2021 | 23 | 2021 |
| MIT-MEDG at SemEval-2018 task 7: Semantic relation classification via convolution neural network D Jin, F Dernoncourt, E Sergeeva, M McDermott, G Chauhan Proceedings of the 12th international workshop on semantic evaluation, 798-804, 2018 | 15 | 2018 |
| Reflex: Flexible framework for relation extraction in multiple domains G Chauhan, M McDermott, P Szolovits Association for Computational Linguistics, Proceedings of the 18th BioNLP …, 2019 | 14 | 2019 |
| Pulmonary edema severity grades based on MIMIC-CXR (version 1.0. 1) R Liao, G Chauhan, P Golland, S Berkowitz, S Horng PhysioNet, 2021 | 5 | 2021 |
| Building on word animacy to determine coreference chain animacy in cultural narratives L Jahan, G Chauhan, M Finlayson Proceedings of the AAAI Conference on Artificial Intelligence and …, 2017 | 3 | 2017 |
| RadTex: Learning Efficient Radiograph Representations from Text Reports K Quigley, M Cha, R Liao, G Chauhan, S Horng, S Berkowitz, P Golland MICCAI Workshop on Resource-Efficient Medical Image Analysis, 22-31, 2022 | 1 | 2022 |
| A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains G Chauhan, M McDermott, P Szolovits Proceedings of the 2019 Workshop on Widening NLP, 18-20, 2019 | 1 | 2019 |
| Building an Ontology for Health Dialogs with Virtual Health Agents G Chauhan | 1 | 2016 |
| Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023) L Tan, D Milajevs, G Chauhan, J Gwinnup, E Rippeth Proceedings of the 3rd Workshop for Natural Language Processing Open Source …, 2023 | | 2023 |
| Bidirectional Captioning for Clinically Accurate and Interpretable Models K Quigley, M Cha, J Barua, G Chauhan, S Berkowitz, S Horng, P Golland arXiv preprint arXiv:2310.19635, 2023 | | 2023 |
| Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS) EL Park, M Hagiwara, D Milajevs, NF Liu, G Chauhan, L Tan Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), 2020 | | 2020 |
| A Flexible Framework for Relation Extraction in Multiple Domains G Chauhan Massachusetts Institute of Technology, 2019 | | 2019 |
| Data and Code for" A New Approach to Animacy Detection" J Labiba, C Geeticka | | 2018 |
| Ontology for Health Dialogs with VHAs G Chauhan, C Lisetti | | |
Matthew B. A. McDermottPostdoctoral Researcher, Harvard Medical School, Department of Biomedical InformaticsVerified email at hms.harvard.edu
