| Year |
Citation |
Score |
| 2019 |
Dalca AV, Balakrishnan G, Guttag J, Sabuncu MR. Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Medical Image Analysis. 57: 226-236. PMID 31351389 DOI: 10.1016/J.Media.2019.07.006 |
0.308 |
|
| 2018 |
Cortés JP, Espinoza VM, Ghassemi M, Mehta DD, Van Stan JH, Hillman RE, Guttag JV, Zañartu M. Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration. Plos One. 13: e0209017. PMID 30571719 DOI: 10.1371/Journal.Pone.0209017 |
0.668 |
|
| 2018 |
Oh J, Makar M, Fusco C, McCaffrey R, Rao K, Ryan EE, Washer L, West LR, Young VB, Guttag J, Hooper DC, Shenoy ES, Wiens J. A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers. Infection Control and Hospital Epidemiology. 39: 425-433. PMID 29576042 DOI: 10.1017/Ice.2018.16 |
0.304 |
|
| 2016 |
Brooks J, Kerr M, Guttag J. Using machine learning to draw inferences from pass location data in soccer Statistical Analysis and Data Mining: the Asa Data Science Journal. 9: 338-349. DOI: 10.1002/Sam.11318 |
0.324 |
|
| 2015 |
Mehta DD, Van Stan JH, Zañartu M, Ghassemi M, Guttag JV, Espinoza VM, Cortés JP, Cheyne HA, Hillman RE. Using Ambulatory Voice Monitoring to Investigate Common Voice Disorders: Research Update. Frontiers in Bioengineering and Biotechnology. 3: 155. PMID 26528472 DOI: 10.3389/Fbioe.2015.00155 |
0.67 |
|
| 2015 |
Ghassemi M, Van Stan JH, Mehta DD, Zanartu M, Cheyne HA, Hillman RE, Guttag JV. Corrections to "Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results For Vocal Fold Nodules". Ieee Transactions On Bio-Medical Engineering. 62: 2544. PMID 26389645 DOI: 10.1109/Tbme.2015.2465051 |
0.306 |
|
| 2015 |
Singh A, Nadkarni G, Gottesman O, Ellis SB, Bottinger EP, Guttag JV. Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration. Journal of Biomedical Informatics. 53: 220-8. PMID 25460205 DOI: 10.1016/J.Jbi.2014.11.005 |
0.335 |
|
| 2014 |
Ghassemi M, Van Stan JH, Mehta DD, Zañartu M, Cheyne HA, Hillman RE, Guttag JV. Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: initial results for vocal fold nodules. Ieee Transactions On Bio-Medical Engineering. 61: 1668-75. PMID 24845276 DOI: 10.1109/Tbme.2013.2297372 |
0.385 |
|
| 2014 |
Hillman RE, Mehta D, Van Stan JH, Zanartu M, Ghassemi M, Guttag JV. Subglottal ambulatory monitoring of vocal function to improve voice disorder assessment The Journal of the Acoustical Society of America. 136: 2260-2260. DOI: 10.1121/1.4900160 |
0.396 |
|
| 2011 |
Kharbouch A, Shoeb A, Guttag J, Cash SS. An algorithm for seizure onset detection using intracranial EEG. Epilepsy & Behavior : E&B. 22: S29-35. PMID 22078515 DOI: 10.1016/J.Yebeh.2011.08.031 |
0.321 |
|
| 2011 |
Syed Z, Stultz CM, Scirica BM, Guttag JV. Computationally generated cardiac biomarkers for risk stratification after acute coronary syndrome. Science Translational Medicine. 3: 102ra95. PMID 21957173 DOI: 10.1126/Scitranslmed.3002557 |
0.303 |
|
| 2010 |
Syed Z, Stultz C, Kellis M, Indyk P, Guttag J. Motif Discovery in Physiological Datasets: A Methodology for Inferring Predictive Elements. Acm Transactions On Knowledge Discovery From Data. 4: 2. PMID 20730037 DOI: 10.1145/1644873.1644875 |
0.314 |
|
| 2009 |
Syed Z, Sung P, Scirica BM, Morrow DA, Stultz CM, Guttag JV. Spectral energy of ECG morphologic differences to predict death. Cardiovascular Engineering (Dordrecht, Netherlands). 9: 18-26. PMID 19283476 DOI: 10.1007/S10558-009-9066-3 |
0.312 |
|
| 2007 |
Syed Z, Leeds D, Curtis D, Nesta F, Levine RA, Guttag J. A framework for the analysis of acoustical cardiac signals. Ieee Transactions On Bio-Medical Engineering. 54: 651-62. PMID 17405372 DOI: 10.1109/Tbme.2006.889189 |
0.322 |
|
| 2007 |
Syed Z, Guttag J, Stultz C. Clustering and symbolic analysis of cardiovascular signals: Discovery and visualization of medically relevant patterns in long-term data using limited prior knowledge Eurasip Journal On Advances in Signal Processing. 2007. DOI: 10.1155/2007/67938 |
0.302 |
|
| 1986 |
Guttag JV, Horning JJ, Wing JM. Abstracts in software engineering Acm Sigsoft Software Engineering Notes. 11: 103-110. DOI: 10.1145/382300.382317 |
0.469 |
|
| 1986 |
Guttag J, Horning J. A Larch Shared Language handbook Science of Computer Programming. 6: 135-157. DOI: 10.1016/0167-6423(86)90022-5 |
0.331 |
|
| 1986 |
Guttag J, Horning J. Report on the larch shared language Science of Computer Programming. 6: 103-134. DOI: 10.1016/0167-6423(86)90021-3 |
0.31 |
|
| 1985 |
Guttag J, Horning J, Wing J. The Larch Family of Specification Languages Ieee Software. 2: 24-36. DOI: 10.1109/Ms.1985.231756 |
0.543 |
|
| 1982 |
Guttag J, Horning J, Wing J. Some notes on putting formal specifications to productive use Science of Computer Programming. 2: 53-68. DOI: 10.1016/0167-6423(82)90004-1 |
0.569 |
|
| 1980 |
Guttag J. Notes on Type Abstraction (Version 2) Ieee Transactions On Software Engineering. 6: 13-23. DOI: 10.1109/Tse.1980.230209 |
0.311 |
|
| 1978 |
Guttag JV, Horowitz E, Musser DR. Abstract Data Types and Software Validation Communications of the Acm. 21: 1048-1064. DOI: 10.1145/359657.359666 |
0.315 |
|
| 1978 |
Guttag J, Horning J. The algebraic specification of abstract data types Acta Informatica. 10. DOI: 10.1007/Bf00260922 |
0.327 |
|
| 1977 |
Guttag J. Abstract data types and the development of data structures Communications of the Acm. 20: 396-404. DOI: 10.1145/359605.359618 |
0.308 |
|
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