Year |
Citation |
Score |
2023 |
Liu G, Catacutan DB, Rathod K, Swanson K, Jin W, Mohammed JC, Chiappino-Pepe A, Syed SA, Fragis M, Rachwalski K, Magolan J, Surette MG, Coombes BK, Jaakkola T, Barzilay R, et al. Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii. Nature Chemical Biology. PMID 37231267 DOI: 10.1038/s41589-023-01349-8 |
0.707 |
|
2020 |
Walters WP, Barzilay R. Applications of Deep Learning in Molecule Generation and Molecular Property Prediction. Accounts of Chemical Research. PMID 33370107 DOI: 10.1021/acs.accounts.0c00699 |
0.366 |
|
2020 |
Arbour KC, Luu AT, Luo J, Rizvi H, Plodkowski AJ, Sakhi M, Huang KB, Digumarthy SR, Ginsberg MS, Girshman J, Kris MG, Riely GJ, Yala A, Gainor JF, Barzilay R, et al. Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade. Cancer Discovery. PMID 32958579 DOI: 10.1158/2159-8290.Cd-20-0419 |
0.368 |
|
2020 |
Hirschfeld L, Swanson K, Yang K, Barzilay R, Coley CW. Uncertainty Quantification using Neural Networks for Molecular Property Prediction. Journal of Chemical Information and Modeling. PMID 32702986 DOI: 10.1021/Acs.Jcim.0C00502 |
0.338 |
|
2020 |
Stokes JM, Yang K, Swanson K, Jin W, Cubillos-Ruiz A, Donghia NM, MacNair CR, French S, Carfrae LA, Bloom-Ackermann Z, Tran VM, Chiappino-Pepe A, Badran AH, Andrews IW, Chory EJ, ... ... Barzilay R, et al. A Deep Learning Approach to Antibiotic Discovery. Cell. 181: 475-483. PMID 32302574 DOI: 10.1016/j.cell.2020.04.001 |
0.695 |
|
2020 |
Struble TJ, Alvarez JC, Brown S, Chytil M, Cisar J, DesJarlais R, Engkvist O, Frank SA, Greve DR, Griffin DJ, Hou X, Johannes JW, Kreatsoulas C, Lahue B, Mathea M, ... ... Barzilay R, et al. Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis. Journal of Medicinal Chemistry. PMID 32243158 DOI: 10.1021/Acs.Jmedchem.9B02120 |
0.385 |
|
2020 |
Dontchos BN, Yala A, Barzilay R, Xiang J, Lehman CD. External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice. Academic Radiology. PMID 32089465 DOI: 10.1016/J.Acra.2019.12.012 |
0.32 |
|
2020 |
Stokes JM, Yang K, Swanson K, Jin W, Cubillos-Ruiz A, Donghia NM, MacNair CR, French S, Carfrae LA, Bloom-Ackerman Z, Tran VM, Chiappino-Pepe A, Badran AH, Andrews IW, Chory EJ, ... ... Barzilay R, et al. A Deep Learning Approach to Antibiotic Discovery. Cell. 180: 688-702.e13. PMID 32084340 DOI: 10.1016/J.Cell.2020.01.021 |
0.702 |
|
2020 |
Wang X, Qian Y, Gao H, Coley CW, Mo Y, Barzilay R, Jensen KF. Towards Efficient Discovery of Green Synthesis Pathways with Monte Carlo Tree Search and Reinforcement Learning Chemical Science. DOI: 10.1039/D0Sc04184J |
0.346 |
|
2019 |
Yang K, Swanson K, Jin W, Coley C, Eiden P, Gao H, Guzman-Perez A, Hopper T, Kelley B, Mathea M, Palmer A, Settels V, Jaakkola T, Jensen K, Barzilay R. Correction to Analyzing Learned Molecular Representations for Property Prediction. Journal of Chemical Information and Modeling. PMID 31814400 DOI: 10.1021/Acs.Jcim.9B01076 |
0.383 |
|
2019 |
Yala A, Schuster T, Miles R, Barzilay R, Lehman C. A Deep Learning Model to Triage Screening Mammograms: A Simulation Study. Radiology. 182908. PMID 31385754 DOI: 10.1148/Radiol.2019182908 |
0.328 |
|
2019 |
Yang K, Swanson K, Jin W, Coley CW, Eiden P, Gao H, Guzman-Perez A, Hopper T, Kelley B, Mathea M, Palmer A, Settels V, Jaakkola TS, Jensen KF, Barzilay R. Analyzing Learned Molecular Representations for Property Prediction. Journal of Chemical Information and Modeling. PMID 31361484 DOI: 10.1021/Acs.Jcim.9B00237 |
0.378 |
|
2019 |
Yala A, Lehman C, Schuster T, Portnoi T, Barzilay R. A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction. Radiology. 182716. PMID 31063083 DOI: 10.1148/Radiol.2019182716 |
0.321 |
|
2019 |
Portnoi T, Yala A, Schuster T, Barzilay R, Dontchos B, Lamb L, Lehman C. Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image Alone. Ajr. American Journal of Roentgenology. 1-7. PMID 30933651 DOI: 10.2214/Ajr.18.20813 |
0.328 |
|
2019 |
Coley CW, Jin W, Rogers L, Jamison TF, Jaakkola TS, Green WH, Barzilay R, Jensen KF. A graph-convolutional neural network model for the prediction of chemical reactivity. Chemical Science. 10: 370-377. PMID 30746086 DOI: 10.1039/C8Sc04228D |
0.389 |
|
2019 |
Arbour KC, Tuan LA, Rizvi H, Yala A, Hellmann MD, Barzilay R. ml-RECIST: Machine learning to estimate RECIST in patients with NSCLC treated with PD-(L)1 blockade. Journal of Clinical Oncology. 37: 9052-9052. DOI: 10.1200/Jco.2019.37.15_Suppl.9052 |
0.309 |
|
2018 |
Lehman CD, Yala A, Schuster T, Dontchos B, Bahl M, Swanson K, Barzilay R. Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation. Radiology. 180694. PMID 30325282 DOI: 10.1148/Radiol.2018180694 |
0.308 |
|
2018 |
Tang R, Ouyang L, Li C, He Y, Griffin M, Taghian A, Smith B, Yala A, Barzilay R, Hughes K. Machine learning to parse breast pathology reports in Chinese. Breast Cancer Research and Treatment. PMID 29380208 DOI: 10.1007/S10549-018-4668-3 |
0.397 |
|
2018 |
Narasimhan K, Barzilay R, Jaakkola T. Grounding Language for Transfer in Deep Reinforcement Learning Journal of Artificial Intelligence Research. 63: 849-874. DOI: 10.1613/Jair.1.11263 |
0.402 |
|
2018 |
Jänner M, Narasimhan K, Barzilay R. Representation Learning for Grounded Spatial Reasoning Transactions of the Association For Computational Linguistics. 6: 49-61. DOI: 10.1162/Tacl_A_00004 |
0.314 |
|
2017 |
Bahl M, Barzilay R, Yedidia AB, Locascio NJ, Yu L, Lehman CD. High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision. Radiology. 170549. PMID 29039725 DOI: 10.1148/Radiol.2017170549 |
0.346 |
|
2017 |
Coley CW, Barzilay R, Green WH, Jaakkola TS, Jensen KF. Convolutional embedding of attributed molecular graphs for physical property prediction. Journal of Chemical Information and Modeling. PMID 28696688 DOI: 10.1021/Acs.Jcim.6B00601 |
0.373 |
|
2017 |
Coley CW, Barzilay R, Jaakkola TS, Green WH, Jensen KF. Prediction of Organic Reaction Outcomes Using Machine Learning. Acs Central Science. 3: 434-443. PMID 28573205 DOI: 10.1021/Acscentsci.7B00064 |
0.314 |
|
2017 |
Zhang Y, Barzilay R, Jaakkola T. Aspect-augmented Adversarial Networks for Domain Adaptation Transactions of the Association For Computational Linguistics. 5: 515-528. DOI: 10.1162/Tacl_A_00077 |
0.379 |
|
2017 |
Luo J, Narasimhan K, Barzilay R. Unsupervised Learning of Morphological Forests Transactions of the Association For Computational Linguistics. 5: 353-364. DOI: 10.1162/Tacl_A_00066 |
0.303 |
|
2016 |
Yala A, Barzilay R, Salama L, Griffin M, Sollender G, Bardia A, Lehman C, Buckley JM, Coopey SB, Polubriaginof F, Garber JE, Smith BL, Gadd MA, Specht MC, Gudewicz TM, et al. Using machine learning to parse breast pathology reports. Breast Cancer Research and Treatment. PMID 27826755 DOI: 10.1007/S10549-016-4035-1 |
0.398 |
|
2013 |
Sauper C, Barzilay R. Automatic aggregation by joint modeling of aspects and values Journal of Artificial Intelligence Research. 46: 89-127. DOI: 10.1613/Jair.3647 |
0.313 |
|
2012 |
Branavan SRK, Silver D, Barzilay R. Learning to win by reading manuals in a monte-carlo framework Journal of Artificial Intelligence Research. 43: 661-704. DOI: 10.1613/Jair.3484 |
0.343 |
|
2009 |
Naseem T, Snyder B, Eisenstein J, Barzilay R. Multilingual part-of-speech tagging: two unsupervised approaches Journal of Artificial Intelligence Research. 36: 341-385. DOI: 10.1613/Jair.2843 |
0.36 |
|
2009 |
Chen H, Branavan SRK, Barzilay R, Karger DR. Content modeling using latent permutations Journal of Artificial Intelligence Research. 36: 129-163. DOI: 10.1613/Jair.2830 |
0.388 |
|
2009 |
Branavan SRK, Chen H, Eisenstein J, Barzilay R. Learning document-level semantic properties from free-text annotations Journal of Artificial Intelligence Research. 34: 569-603. DOI: 10.1613/Jair.2633 |
0.4 |
|
2008 |
Eisenstein J, Barzilay R, Davis R. Gesture salience as a hidden variable for coreference resolution and keyframe extraction Journal of Artificial Intelligence Research. 31: 353-398. DOI: 10.1613/Jair.2450 |
0.416 |
|
2008 |
Barzilay R, Lapata M. Modeling Local Coherence: An Entity-Based Approach Computational Linguistics. 34: 1-34. DOI: 10.1162/Coli.2008.34.1.1 |
0.385 |
|
2006 |
Lacson RC, Barzilay R, Long WJ. Automatic analysis of medical dialogue in the home hemodialysis domain: structure induction and summarization. Journal of Biomedical Informatics. 39: 541-55. PMID 16488194 DOI: 10.1016/J.Jbi.2005.12.009 |
0.329 |
|
2005 |
Barzilay R, McKeown KR. Sentence fusion for multidocument news summarization Computational Linguistics. 31: 297-327. DOI: 10.1162/089120105774321091 |
0.579 |
|
2002 |
Barzilay R, Elhadad N, McKeown KR. Inferring strategies for sentence ordering in multidocument news summarization Journal of Artificial Intelligence Research. 17: 35-55. DOI: 10.1613/Jair.991 |
0.662 |
|
2002 |
Barzilay R, Elhadad N. Inferring Strategies for Sentence Ordering in Multidocument News Summarization Journal of Artificial Intelligence Research. 17: 35-55. DOI: 10.1613/jair.991 |
0.564 |
|
1999 |
McKeown KR, Klavans JL, Hatzivassiloglou V, Barzilay R, Eskin E. Towards multidocument summarization by reformulation: progress and prospects Proceedings of the National Conference On Artificial Intelligence. 453-460. |
0.501 |
|
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