Kim L. Sandler

dblp:248/9089 · DBLP profile ↗
← Back
7ranked-venue papers
0as first author
5since 2021 · last 2023
0000-0003-2989-248XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 6 · 5 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Artificial intelligence and machine learning · 1
YearPublicationVenuePosition
2023 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
MICCAI (2)11
2023 Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective
Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
Medical Image Anal.7
2022 Incomplete Smoking History Data Leads to Unknown Lung Cancer Screening Eligibility Status, and a Potential Solution
Lauren Hatcher, Allison B. McCoy, Hannah Marmor, Landon Fike, Kim L. Sandler
AMIA5
2021 Image-based Phenotyping for Risk Stratification in the National Lung Screening Trial
Mirza S. Khan, Kaiwen Xu, Steve Deppen, Kim L. Sandler, Bennett A. Landman
AMIA4
2021 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
MICCAI (5)6
2020 Multi-path x-D recurrent neural networks for collaborative image classification
Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
Neurocomputing9
2020 Time-distanced gates in long short-term memory networks
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Yuankai Huo, Shunxing Bao, Sanja Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
Medical Image Anal.10