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Mailing Address Meenakshi Rao Boston Children's Hospital 300 Longwood Ave, Enders 659 Boston, MA 02115 Shipping Address Rao Laboratory 61 Binney St, EN650 Boston, MA 02115
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Lab Alumni
Lab Alumni (subsequent or current position) Former postdoctoral fellows Svetlana Sabel, M.D. (Attending Physician, St. Barnabas Medical Center) Laurence Feinstein, Ph.D. (Assistant Professor, Drexel University School of Medicine) Alain Marc Guillem Del Angel, Ph.D. (Postdoctoral fellow, University...
Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation
Kurugol, Sila, Moti Freiman, Onur Afacan, Liran Domachevsky, Jeannette Perez-Rossello, Michael Callahan, and Simon Warfield. 2017. “Motion-Robust Parameter Estimation in Abdominal Diffusion-Weighted MRI by Simultaneous Image Registration and Model Estimation”. Med Image Anal 39: 124-32.
Learning Patient Representations from Text
Dligach, Dmitriy, and Timothy Miller. 2018. “Learning Patient Representations from Text”. In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 119–123. Association for Computational Linguistics.
Spotting Spurious Data with Neural Networks
Amiri, Hadi, Timothy Miller, and Guergana Savova. 2018. “Spotting Spurious Data With Neural Networks”. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2006–2016. Association for Computational Linguistics.
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction
Lin, Chen, Timothy Miller, Dmitriy Dligach, Hadi Amiri, Steven Bethard, and Guergana Savova. 2018. “Self-Training Improves Recurrent Neural Networks Performance for Temporal Relation Extraction”. In Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 165–176. Association for Computational Linguistics.
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction
Jin, Lifeng, Finale Doshi-Velez, Timothy Miller, William Schuler, and Lane Schwartz. 2018. “Depth-Bounding Is Effective: Improvements and Evaluation of Unsupervised PCFG Induction”. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2721–2731. Association for Computational Linguistics.
DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records
Savova, Guergana, Eugene Tseytlin, Sean Finan, Melissa Castine, Timothy Miller, Olga Medvedeva, David Harris, et al. 2017. “DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records”. Cancer Res 77 (21): e115-e118.
Parental views on state cannabis laws and marijuana use for their medically vulnerable children
Wisk, Lauren, Sharon Levy, and Elissa Weitzman. 2019. “Parental Views on State Cannabis Laws and Marijuana Use for Their Medically Vulnerable Children”. Drug Alcohol Depend 199: 59-67.
Non-Learning based Deep Parallel MRI Reconstruction (NLDpMRI)
Yazdanpanah, Ali Pour, Onur Afacan, and Simon K. Warfield. 2019. “Non-Learning Based Deep Parallel MRI Reconstruction (NLDpMRI)”. Medical Imaging: Image Processing 10949: 1094904.