Thomas A. Lasko

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 51

Top Venues

CoRR

AMIA

J. Am. Medical Informatics Assoc.

Appl. Clin. Inform.

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Eric V. Strobl, Thomas A. Lasko, Eric R. Gamazon
Mitigating pathogenesis for target discovery and disease subtyping. Comput. Biol. Medicine 171 (2024)
Thomas A. Lasko, John M. Still, Thomas Z. Li, Marco Barbero Mota, William W. Stead, Eric V. Strobl, Bennett A. Landman, Fabien Maldonado
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence. CoRR (2024)
Thomas A. Lasko, Eric V. Strobl, William W. Stead
Why do probabilistic clinical models fail to transport between sites. npj Digit. Medicine 7 (1) (2024)
Eric V. Strobl, Thomas A. Lasko
Identifying patient-specific root causes with the heteroscedastic noise model. J. Comput. Sci. 72 (2023)
Thomas A. Lasko, Eric V. Strobl, William W. Stead
Why Do Clinical Probabilistic Models Fail To Transport Between Sites? CoRR (2023)
Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. MICCAI (2) (2023)
Eric V. Strobl, Thomas A. Lasko
Sample-Specific Root Causal Inference with Latent Variables. CLeaR (2023)
Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. Medical Imaging: Image Processing (2023)
Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. 90 (2023)
Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification. CoRR (2023)
Eric V. Strobl, Thomas A. Lasko
Identifying patient-specific root causes of disease. BCB (2022)
Eric V. Strobl, Thomas A. Lasko
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model. CoRR (2022)
Eric V. Strobl, Thomas A. Lasko
Identifying Patient-Specific Root Causes of Disease. CoRR (2022)
Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. CoRR (2022)
Riqiang Gao, Thomas Z. Li, Yucheng Tang, Kaiwen Xu, Mirza S. Khan, Michael N. Kammer, Sanja L. Antic, Stephen Deppen, Yuankai Huo, Thomas A. Lasko, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. Comput. Biol. Medicine 150 (2022)
Eric V. Strobl, Thomas A. Lasko
Sample-Specific Root Causal Inference with Latent Variables. CoRR (2022)
Cailey I. Kerley, Shikha Chaganti, Tin Q. Nguyen, Camilo Bermudez, Laurie E. Cutting, Lori L. Beason-Held, Thomas A. Lasko, Bennett A. Landman
pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis. Neuroinformatics 20 (2) (2022)
Riqiang Gao, Thomas Z. Li, Yucheng Tang, Zhoubing Xu, Michael N. Kammer, Sanja L. Antic, Kim L. Sandler, Fabien Maldonado, Thomas A. Lasko, Bennett A. Landman
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. CoRR (2022)
Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR (2022)
Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman
Characterizing Renal Structures with 3D Block Aggregate Transformers. CoRR (2022)
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. MICCAI (5) (2021)
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. CoRR (2021)
Eric V. Strobl, Thomas A. Lasko
Synthesized Difference in Differences. CoRR (2021)
Laurie Lovett Novak, Jonathan P. Wanderer, David A. Owens, Daniel Fabbri, Julian Z. Genkins, Thomas A. Lasko
A Perioperative Care Display for Understanding High Acuity Patients. Appl. Clin. Inform. 12 (01) (2021)
Ziqi Zhang, Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley A. Malin
SynTEG: a framework for temporal structured electronic health data simulation. J. Am. Medical Informatics Assoc. 28 (3) (2021)
Eric V. Strobl, Thomas A. Lasko
Generalizing Clinical Trials with Convex Hulls. CoRR (2021)
Eric V. Strobl, Thomas A. Lasko
Synthesized difference in differences. BCB (2021)
Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman
Semi-supervised Machine Learning with MixMatch and Equivalence Classes. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Thomas A. Lasko, David A. Owens, Daniel Fabbri, Jonathan P. Wanderer, Julian Z. Genkins, Laurie L. Novak
User-Centered Clinical Display Design Issues for Inpatient Providers. Appl. Clin. Inform. 11 (05) (2020)
Colin B. Hansen, Vishwesh Nath, Diego A. Mesa, Yuankai Huo, Bennett A. Landman, Thomas A. Lasko
The Value of Nullspace Tuning Using Partial Label Information. CoRR (2020)
Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny
A Surveillance Framework for Monitoring and Updating Clinical Prediction Models. AMIA (2020)
Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny
Detection of calibration drift in clinical prediction models to inform model updating. J. Biomed. Informatics 112 (2020)
Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Egan, Susan M. Resnick, Lori Beason-Held, Bennett A. Landman, Thomas A. Lasko
Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Sharon E. Davis, Robert A. Greevy Jr., Christopher Fonnesbeck, Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny
A nonparametric updating method to correct clinical prediction model drift. J. Am. Medical Informatics Assoc. 26 (12) (2019)
Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny
Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating. AMIA (2019)
Qiang Wei, Yukun Chen, Mandana Salimi, Joshua C. Denny, Qiaozhu Mei, Thomas A. Lasko, Qingxia Chen, Stephen Wu, Amy Franklin, Trevor Cohen, Hua Xu
Cost-aware active learning for named entity recognition in clinical text. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Yuankai Huo, James G. Terry, Jiachen Wang, Sangeeta Nair, Thomas A. Lasko, Barry I. Freedman, J. Jeffrey Carr, Bennett A. Landman
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations. CoRR (2019)
Kimberley Kondratieff, Candace D. McNaughton, Michael E. Matheny, Thomas A. Lasko
Longitudinal modeling of prescription refill records to predict medication use. AMIA (2019)
Shikha Chaganti, Camilo Bermudez, Louise A. Mawn, Thomas A. Lasko, Bennett A. Landman
Contextual Deep Regression Network for Volume Estimation in Orbital CT. MICCAI (6) (2019)
Linda Zhang, Daniel Fabbri, Thomas A. Lasko, Jesse M. Ehrenfeld, Jonathan P. Wanderer
A System for Automated Determination of Perioperative Patient Acuity. J. Medical Syst. 42 (7) (2018)
Sharidan K. Parr, Thomas A. Lasko, Alvin D. Jeffery, Matthew S. Shotwell, Michael E. Matheny
Automated Mapping of Laboratory Tests to LOINC Codes using Noisy Labels in a National Electronic Health Record System Database. AMIA (2018)
Sharidan K. Parr, Matthew S. Shotwell, Alvin D. Jeffery, Thomas A. Lasko, Michael E. Matheny
Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database. J. Am. Medical Informatics Assoc. 25 (10) (2018)
Joseph R. Coco, Cheng Ye, Chen Hajaj, Yevgeniy Vorobeychik, Joshua C. Denny, Laurie L. Novak, Bradley A. Malin, Thomas A. Lasko, Daniel Fabbri
Crowdsourcing Clinical Chart Reviews. AMIA (2018)
Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Edward D. Siew, Michael E. Matheny
Calibration drift in regression and machine learning models for acute kidney injury. J. Am. Medical Informatics Assoc. 24 (6) (2017)
Pedro L. Teixeira, Wei-Qi Wei, Robert M. Cronin, Huan Mo, Jacob P. VanHouten, Robert J. Carroll, Eric LaRose, Lisa Bastarache, S. Trent Rosenbloom, Todd L. Edwards, Dan M. Roden, Thomas A. Lasko, Richard A. Dart, Anne M. Nikolai, Peggy L. Peissig, Joshua C. Denny
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. J. Am. Medical Informatics Assoc. 24 (1) (2017)
Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C. Denny, Hua Xu
An active learning-enabled annotation system for clinical named entity recognition. BMC Medical Informatics Decis. Mak. 17 (2) (2017)
Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny
Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality. AMIA (2017)
Jacek M. Bajor, Thomas A. Lasko
Predicting Medications from Diagnostic Codes with Recurrent Neural Networks. ICLR (Poster) (2017)
Shikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas A. Lasko, Louise A. Mawn, Bennett A. Landman
EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function. DLMIA/ML-CDS@MICCAI (2017)
Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny
Calibration Drift of Clinical Prediction Models Across Modeling Methods. CRI (2016)
Jacob P. VanHouten, Christopher Fonnesbeck, Michael E. Matheny, Thomas A. Lasko
The Discriminative Power of Non-Specific Laboratory Results. AMIA (2016)
Thomas A. Lasko
Nonstationary Gaussian Process Regression for Evaluating Repeated Clinical Laboratory Tests. AAAI (2015)
Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy
Assessing Variability in Breast Cancer Treatment Paths Using Frequent Sequence Mining. AMIA (2015)
Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu
A study of active learning methods for named entity recognition in clinical text. J. Biomed. Informatics 58 (2015)
Yukun Chen, Sungrim Moon, Thomas A. Lasko, Qiaozhu Mei, Jingqi Wang, Trevor Cohen, Qingxia Chen, Joshua C. Denny, Hua Xu
Real Time Active Learning Study for Clinical Named Entity Recognition. AMIA (2015)
Thomas A. Lasko
Efficient Inference of Gaussian-Process-Modulated Renewal Processes with Application to Medical Event Data. UAI (2014)
Jimeng Sun, Candace D. McNaughton, Ping Zhang, Adam Perer, Aris Gkoulalas-Divanis, Joshua C. Denny, Jacqueline Kirby, Thomas A. Lasko, Alexander Saip, Bradley A. Malin
Predicting changes in hypertension control using electronic health records from a chronic disease management program. J. Am. Medical Informatics Assoc. 21 (2) (2014)
Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, David J. Maron, Thomas A. Lasko
Machine Learning for Risk Prediction of Acute Coronary Syndrome. AMIA (2014)
Thomas A. Lasko
Efficient Inference of Gaussian Process Modulated Renewal Processes with Application to Medical Event Data. CoRR (2014)
Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy
Role of ICD Granularity in Phenotyping Hematologic Malignancies for Tumor Registries. AMIA (2013)
Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, Thomas A. Lasko
Random Forest Classification of Acute Coronary Syndromes. AMIA (2013)
Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu
A Study of Active Learning Methods for Clinical Entities Recognition. AMIA (2013)
Wei-Qi Wei, Robert M. Cronin, Hua Xu, Thomas A. Lasko, Lisa Bastarache, Joshua C. Denny
Development and evaluation of an ensemble resource linking medications to their indications. J. Am. Medical Informatics Assoc. 20 (5) (2013)
Robert J. Carroll, William K. Thompson, Anne E. Eyler, Arthur M. Mandelin, Tianxi Cai, Raquel M. Zink, Jennifer A. Pacheco, Chad S. Boomershine, Thomas A. Lasko, Hua Xu, Elizabeth W. Karlson, Raúl G. Pérez, Vivian S. Gainer, Shawn N. Murphy, Eric M. Ruderman, Richard M. Pope, Robert M. Plenge, Abel N. Kho, Katherine P. Liao, Joshua C. Denny
Portability of an algorithm to identify rheumatoid arthritis in electronic health records. J. Am. Medical Informatics Assoc. 19 (e1) (2012)
Thomas A. Lasko, Staal A. Vinterbo
Spectral Anonymization of Data. IEEE Trans. Knowl. Data Eng. 22 (3) (2010)
Thomas A. Lasko, Steven J. Atlas, Michael J. Barry, Henry C. Chueh
Research Paper: Automated Identification of a Physician's Primary Patients. J. Am. Medical Informatics Assoc. 13 (1) (2006)
Thomas A. Lasko, Jui G. Bhagwat, Kelly H. Zou, Lucila Ohno-Machado
The use of receiver operating characteristic curves in biomedical informatics. J. Biomed. Informatics 38 (5) (2005)
Thomas A. Lasko, Mitchell J. Feldman, G. Octo Barnett
DXplain Evoking Strength - Clinician Interpretation and Consistency. AMIA (2002)
Thomas A. Lasko, Susan E. Hauser
Approximate string matching algorithms for limited-vocabulary OCR output correction. Document Recognition and Retrieval (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thomas A. Lasko