Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing
Imputation Perspective

Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

25 July 2021

Thomas A. Lasko

Yuankai Huo

Bennett A. Landman

Papers citing "Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective"

6 / 6 papers shown

Title
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions Huajun Zhou Fengtao Zhou Chenyu Zhao Yingxue Xu Luyang Luo Hao Chen 32 5 0 28 Jun 2024
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization Xin Yu Qi Yang Yucheng Tang Riqiang Gao Shunxing Bao ... Ho Hin Lee Yuankai Huo A. Moore Luigi Ferrucci Bennett A. Landman 26 2 0 17 Sep 2023
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models Xin Yu Qi Yang Yucheng Tang Riqiang Gao Shunxing Bao ... Ho Hin Lee Yuankai Huo A. Moore Luigi Ferrucci Bennett A. Landman MedIm 23 9 0 28 Sep 2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging Riqiang Gao Thomas Z. Li Yucheng Tang Zhoubing Xu M. Kammer S. Antic K. Sandler Fabien Maldonado Thomas A. Lasko Bennett Landman OOD 37 1 0 17 Jun 2022
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 55 185 0 11 Jun 2018
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 177 4,222 0 04 May 2011