Thomas A. Lasko
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
5
Active years
2002–2023
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | MICCAI | Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. | 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 |
| 2022 | AMIA | Validating Data-Driven Clinical Fingerprints as an Input Feature Representation. | Marco Barbero Mota, Jorge L. Gamboa, John M. Still, Charles M. Stein, Vivian K. Kawai, Thomas A. Lasko |
| 2021 | MICCAI | Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. | 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 |
| 2020 | AMIA | A Surveillance Framework for Monitoring and Updating Clinical Prediction Models. | Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny |
| 2020 | MICCAI | Semi-supervised Machine Learning with MixMatch and Equivalence Classes. | 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 |
| 2019 | AMIA | Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating. | Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny |
| 2019 | AMIA | Longitudinal modeling of prescription refill records to predict medication use. | Kimberley Kondratieff, Candace D. McNaughton, Michael E. Matheny, Thomas A. Lasko |
| 2019 | MICCAI | Contextual Deep Regression Network for Volume Estimation in Orbital CT. | Shikha Chaganti, Camilo Bermudez, Louise A. Mawn, Thomas A. Lasko, Bennett A. Landman |
| 2018 | AMIA | Crowdsourcing Clinical Chart Reviews. | Joseph R. Coco, Cheng Ye, Chen Hajaj, Yevgeniy Vorobeychik, Joshua C. Denny, Laurie L. Novak, Bradley A. Malin, Thomas A. Lasko, Daniel Fabbri |
| 2018 | AMIA | Automated Mapping of Laboratory Tests to LOINC Codes using Noisy Labels in a National Electronic Health Record System Database. | Sharidan K. Parr, Thomas A. Lasko, Alvin D. Jeffery, Matthew S. Shotwell, Michael E. Matheny |
| 2017 | AMIA | Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality. | Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny |
| 2017 | ICLR | Predicting Medications from Diagnostic Codes with Recurrent Neural Networks. | Jacek M. Bajor, Thomas A. Lasko |
| 2017 | MICCAI | EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function. | Shikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas A. Lasko, Louise A. Mawn, Bennett A. Landman |
| 2016 | AMIA | The Discriminative Power of Non-Specific Laboratory Results. | Jacob P. VanHouten, Christopher Fonnesbeck, Michael E. Matheny, Thomas A. Lasko |
| 2015 | AAAI | Nonstationary Gaussian Process Regression for Evaluating Repeated Clinical Laboratory Tests. | Thomas A. Lasko |
| 2015 | AMIA | Assessing Variability in Breast Cancer Treatment Paths Using Frequent Sequence Mining. | Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy |
| 2015 | AMIA | Real Time Active Learning Study for Clinical Named Entity Recognition. | Yukun Chen, Sungrim Moon, Thomas A. Lasko, Qiaozhu Mei, Jingqi Wang, Trevor Cohen, Qingxia Chen, Joshua C. Denny, Hua Xu |
| 2014 | AMIA | Machine Learning for Risk Prediction of Acute Coronary Syndrome. | Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, David J. Maron, Thomas A. Lasko |
| 2014 | UAI | Efficient Inference of Gaussian-Process-Modulated Renewal Processes with Application to Medical Event Data. | Thomas A. Lasko |
| 2013 | AMIA | Role of ICD Granularity in Phenotyping Hematologic Malignancies for Tumor Registries. | Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy |
| 2013 | AMIA | A Study of Active Learning Methods for Clinical Entities Recognition. | Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu |
| 2013 | AMIA | Random Forest Classification of Acute Coronary Syndromes. | Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, Thomas A. Lasko |
| 2002 | AMIA | DXplain Evoking Strength - Clinician Interpretation and Consistency. | Thomas A. Lasko, Mitchell J. Feldman, G. Octo Barnett |