Thomas A. Lasko

80 papers A* 1A 1B 1Misc 15Journal 49Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A data-driven approach to discover and quantify systemic lupus erythematosus etiological heterogeneity from electronic health records. CoRR Marco Barbero Mota, John M. Still, Jorge L. Gamboa, Eric V. Strobl, Charles M. Stein, Vivian K. Kawai, Thomas A. Lasko
2025	J	`jnl`	A standard-based taxonomy of features that affect user response to clinical decision support alerts. BMC Medical Informatics Decis. Mak. Siru Liu, Allison B. McCoy, Dean F. Sittig, Josh F. Peterson, Thomas A. Lasko, Adam Wright
2025	J	`jnl`	A tutorial on discovering and quantifying the effect of latent causal sources of multimodal EHR data. CoRR Marco Barbero Mota, Eric V. Strobl, John M. Still, William W. Stead, Thomas A. Lasko
2025	J	`jnl`	Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record. CoRR Joshua W. Betts, John M. Still, Thomas A. Lasko
2025	J	`jnl`	Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging. CoRR Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko
2025	J	`jnl`	Self-supervised learning of imaging and clinical signatures using a multimodal joint-embedding predictive architecture. CoRR Thomas Z. Li, Aravind R. Krishnan, Lianrui Zuo, John M. Still, Kim L. Sandler, Fabien Maldonado, Thomas A. Lasko, Bennett A. Landman
2025	J	`jnl`	Unsupervised discovery of clinical disease signatures using probabilistic independence. J. Biomed. Informatics Thomas A. Lasko, William W. Stead, John M. Still, Thomas Z. Li, Michael N. Kammer, Marco Barbero Mota, Eric V. Strobl, Bennett A. Landman, Fabien Maldonado
2024	J	`jnl`	Leveraging explainable artificial intelligence to optimize clinical decision support. J. Am. Medical Informatics Assoc. Siru Liu, Allison B. McCoy, Josh F. Peterson, Thomas A. Lasko, Dean F. Sittig, Scott D. Nelson, Jennifer Andrews, Lorraine Patterson, Cheryl M. Cobb, David Mulherin, Colleen T. Morton, Adam Wright
2024	J	`jnl`	Mitigating pathogenesis for target discovery and disease subtyping. Comput. Biol. Medicine Eric V. Strobl, Thomas A. Lasko, Eric R. Gamazon
2024	J	`jnl`	Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence. CoRR Thomas A. Lasko, John M. Still, Thomas Z. Li, Marco Barbero Mota, William W. Stead, Eric V. Strobl, Bennett A. Landman, Fabien Maldonado
2024	J	`jnl`	Why do probabilistic clinical models fail to transport between sites. npj Digit. Medicine Thomas A. Lasko, Eric V. Strobl, William W. Stead
2023	—	`conf`	Generalizing Clinical Trials with Convex Hulls. CLeaR Eric V. Strobl, Thomas A. Lasko
2023	J	`jnl`	Identifying patient-specific root causes with the heteroscedastic noise model. J. Comput. Sci. Eric V. Strobl, Thomas A. Lasko
2023	J	`jnl`	Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification. CoRR 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
2023	—	`conf`	Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. MICCAI (2) 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
2023	—	`conf`	Sample-Specific Root Causal Inference with Latent Variables. CLeaR Eric V. Strobl, Thomas A. Lasko
2023	B	`conf`	Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. Image Processing Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
2023	J	`jnl`	UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. 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
2023	J	`jnl`	Why Do Clinical Probabilistic Models Fail To Transport Between Sites? CoRR Thomas A. Lasko, Eric V. Strobl, William W. Stead
2022	J	`jnl`	A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. CoRR 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
2022	J	`jnl`	Characterizing Renal Structures with 3D Block Aggregate Transformers. CoRR Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman
2022	J	`jnl`	Identifying Patient-Specific Root Causes of Disease. CoRR Eric V. Strobl, Thomas A. Lasko
2022	J	`jnl`	Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model. CoRR Eric V. Strobl, Thomas A. Lasko
2022	—	`conf`	Identifying patient-specific root causes of disease. BCB Eric V. Strobl, Thomas A. Lasko
2022	J	`jnl`	Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. Comput. Biol. Medicine 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
2022	J	`jnl`	Sample-Specific Root Causal Inference with Latent Variables. CoRR Eric V. Strobl, Thomas A. Lasko
2022	J	`jnl`	Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. CoRR Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
2022	J	`jnl`	UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR 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
2022	Misc	`conf`	Validating Data-Driven Clinical Fingerprints as an Input Feature Representation. AMIA Marco Barbero Mota, Jorge L. Gamboa, John M. Still, Charles M. Stein, Vivian K. Kawai, Thomas A. Lasko
2022	J	`jnl`	pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis. Neuroinformatics Cailey I. Kerley, Shikha Chaganti, Tin Q. Nguyen, Camilo Bermudez, Laurie E. Cutting, Lori L. Beason-Held, Thomas A. Lasko, Bennett A. Landman
2021	J	`jnl`	A Perioperative Care Display for Understanding High Acuity Patients. Appl. Clin. Inform. Laurie Lovett Novak, Jonathan P. Wanderer, David A. Owens, Daniel Fabbri, Julian Z. Genkins, Thomas A. Lasko
2021	J	`jnl`	Generalizing Clinical Trials with Convex Hulls. CoRR Eric V. Strobl, Thomas A. Lasko
2021	—	`conf`	Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. MICCAI (5) 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
2021	J	`jnl`	Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. CoRR 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
2021	J	`jnl`	SynTEG: a framework for temporal structured electronic health data simulation. J. Am. Medical Informatics Assoc. Ziqi Zhang, Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley A. Malin
2021	J	`jnl`	Synthesized Difference in Differences. CoRR Eric V. Strobl, Thomas A. Lasko
2021	—	`conf`	Synthesized difference in differences. BCB Eric V. Strobl, Thomas A. Lasko
2020	Misc	`conf`	A Surveillance Framework for Monitoring and Updating Clinical Prediction Models. AMIA Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny
2020	J	`jnl`	Detection of calibration drift in clinical prediction models to inform model updating. J. Biomed. Informatics Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny
2020	—	`conf`	Semi-supervised Machine Learning with MixMatch and Equivalence Classes. iMIMIC/MIL3ID/LABELS@MICCAI 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
2020	J	`jnl`	The Value of Nullspace Tuning Using Partial Label Information. CoRR Colin B. Hansen, Vishwesh Nath, Diego A. Mesa, Yuankai Huo, Bennett A. Landman, Thomas A. Lasko
2020	J	`jnl`	User-Centered Clinical Display Design Issues for Inpatient Providers. Appl. Clin. Inform. Thomas A. Lasko, David A. Owens, Daniel Fabbri, Jonathan P. Wanderer, Julian Z. Genkins, Laurie L. Novak
2019	J	`jnl`	A nonparametric updating method to correct clinical prediction model drift. J. Am. Medical Informatics Assoc. Sharon E. Davis, Robert A. Greevy Jr., Christopher Fonnesbeck, Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny
2019	Misc	`conf`	Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating. AMIA Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny
2019	—	`conf`	Contextual Deep Regression Network for Volume Estimation in Orbital CT. MICCAI (6) Shikha Chaganti, Camilo Bermudez, Louise A. Mawn, Thomas A. Lasko, Bennett A. Landman
2019	J	`jnl`	Cost-aware active learning for named entity recognition in clinical text. J. Am. Medical Informatics Assoc. Qiang Wei, Yukun Chen, Mandana Salimi, Joshua C. Denny, Qiaozhu Mei, Thomas A. Lasko, Qingxia Chen, Stephen Wu, Amy Franklin, Trevor Cohen, Hua Xu
2019	J	`jnl`	Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing. IEEE J. Biomed. Health Informatics Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Egan, Susan M. Resnick, Lori L. Beason-Held, Bennett A. Landman, Thomas A. Lasko
2019	J	`jnl`	Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations. CoRR Yuankai Huo, James G. Terry, Jiachen Wang, Sangeeta Nair, Thomas A. Lasko, Barry I. Freedman, John Jeffrey Carr, Bennett A. Landman
2019	Misc	`conf`	Longitudinal modeling of prescription refill records to predict medication use. AMIA Kimberley Kondratieff, Candace D. McNaughton, Michael E. Matheny, Thomas A. Lasko
2018	J	`jnl`	A System for Automated Determination of Perioperative Patient Acuity. J. Medical Syst. Linda Zhang, Daniel Fabbri, Thomas A. Lasko, Jesse M. Ehrenfeld, Jonathan P. Wanderer
2018	Misc	`conf`	Automated Mapping of Laboratory Tests to LOINC Codes using Noisy Labels in a National Electronic Health Record System Database. AMIA Sharidan K. Parr, Thomas A. Lasko, Alvin D. Jeffery, Matthew S. Shotwell, Michael E. Matheny
2018	J	`jnl`	Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database. J. Am. Medical Informatics Assoc. Sharidan K. Parr, Matthew S. Shotwell, Alvin D. Jeffery, Thomas A. Lasko, Michael E. Matheny
2018	Misc	`conf`	Crowdsourcing Clinical Chart Reviews. AMIA Joseph R. Coco, Cheng Ye, Chen Hajaj, Yevgeniy Vorobeychik, Joshua C. Denny, Laurie L. Novak, Bradley A. Malin, Thomas A. Lasko, Daniel Fabbri
2017	J	`jnl`	An active learning-enabled annotation system for clinical named entity recognition. BMC Medical Informatics Decis. Mak. Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C. Denny, Hua Xu
2017	Misc	`conf`	Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality. AMIA Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny
2017	J	`jnl`	Calibration drift in regression and machine learning models for acute kidney injury. J. Am. Medical Informatics Assoc. Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Edward D. Siew, Michael E. Matheny
2017	—	`conf`	EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function. DLMIA/ML-CDS@MICCAI Shikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas A. Lasko, Louise A. Mawn, Bennett A. Landman
2017	J	`jnl`	Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. J. Am. Medical Informatics Assoc. 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
2017	—	`conf`	Predicting Medications from Diagnostic Codes with Recurrent Neural Networks. ICLR (Poster) Jacek M. Bajor, Thomas A. Lasko
2016	—	`conf`	Calibration Drift of Clinical Prediction Models Across Modeling Methods. CRI Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny
2016	Misc	`conf`	The Discriminative Power of Non-Specific Laboratory Results. AMIA Jacob P. VanHouten, Christopher Fonnesbeck, Michael E. Matheny, Thomas A. Lasko
2015	J	`jnl`	A study of active learning methods for named entity recognition in clinical text. J. Biomed. Informatics Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu
2015	Misc	`conf`	Assessing Variability in Breast Cancer Treatment Paths Using Frequent Sequence Mining. AMIA Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy
2015	A*	`conf`	Nonstationary Gaussian Process Regression for Evaluating Repeated Clinical Laboratory Tests. AAAI Thomas A. Lasko
2015	Misc	`conf`	Real Time Active Learning Study for Clinical Named Entity Recognition. AMIA Yukun Chen, Sungrim Moon, Thomas A. Lasko, Qiaozhu Mei, Jingqi Wang, Trevor Cohen, Qingxia Chen, Joshua C. Denny, Hua Xu
2014	J	`jnl`	Efficient Inference of Gaussian Process Modulated Renewal Processes with Application to Medical Event Data. CoRR Thomas A. Lasko
2014	A	`conf`	Efficient Inference of Gaussian-Process-Modulated Renewal Processes with Application to Medical Event Data. UAI Thomas A. Lasko
2014	Misc	`conf`	Machine Learning for Risk Prediction of Acute Coronary Syndrome. AMIA Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, David J. Maron, Thomas A. Lasko
2014	J	`jnl`	Predicting changes in hypertension control using electronic health records from a chronic disease management program. J. Am. Medical Informatics Assoc. 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
2013	Misc	`conf`	A Study of Active Learning Methods for Clinical Entities Recognition. AMIA Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu
2013	J	`jnl`	Development and evaluation of an ensemble resource linking medications to their indications. J. Am. Medical Informatics Assoc. Wei-Qi Wei, Robert M. Cronin, Hua Xu, Thomas A. Lasko, Lisa Bastarache, Joshua C. Denny
2013	Misc	`conf`	Random Forest Classification of Acute Coronary Syndromes. AMIA Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, Thomas A. Lasko
2013	Misc	`conf`	Role of ICD Granularity in Phenotyping Hematologic Malignancies for Tumor Registries. AMIA Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy
2012	J	`jnl`	Portability of an algorithm to identify rheumatoid arthritis in electronic health records. J. Am. Medical Informatics Assoc. 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
2010	J	`jnl`	Spectral Anonymization of Data. IEEE Trans. Knowl. Data Eng. Thomas A. Lasko, Staal Amund Vinterbo
2007	—	`—`	Spectral anonymization of data. Thomas A. Lasko
2006	J	`jnl`	Research Paper: Automated Identification of a Physician's Primary Patients. J. Am. Medical Informatics Assoc. Thomas A. Lasko, Steven J. Atlas, Michael J. Barry, Henry C. Chueh
2005	J	`jnl`	The use of receiver operating characteristic curves in biomedical informatics. J. Biomed. Informatics Thomas A. Lasko, Jui G. Bhagwat, Kelly H. Zou, Lucila Ohno-Machado
2002	Misc	`conf`	DXplain Evoking Strength - Clinician Interpretation and Consistency. AMIA Thomas A. Lasko, Mitchell J. Feldman, G. Octo Barnett
2001	—	`conf`	Approximate string matching algorithms for limited-vocabulary OCR output correction. Document Recognition and Retrieval Thomas A. Lasko, Susan E. Hauser