Machine learning models for lung cancer classification using array comparative genomic hybridization. - Constantin F. Aliferis; Douglas P. Hardin; Pierre P. Massion (AMIA, 2002)

Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data. - Constantin F. Aliferis; Ioannis Tsamardinos; Pierre P. Massion; Alexander R. Statnikov; Nafeh Fananapazir; Douglas P. Hardin (FLAIRS, 2003)

Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors. - Constantin F. Aliferis; Ioannis Tsamardinos; Pierre P. Massion; Alexander R. Statnikov; Douglas P. Hardin (METMBS, 2003)

Co-expression network analysis identifies Spleen Tyrosine Kinase (SYK) as a candidate oncogenic driver in a subset of small-cell lung cancer. - Akshata R. Udyavar; Megan D. Hoeksema; Jonathan E. Clark; Yong Zou; Zuojian Tang; Zhiguo Li; Ming Li 022; Heidi Chen; Alexander R. Statnikov; Yu Shyr; Daniel C. Liebler; John K. Field; et al. (BMC Syst. Biol., 2013)

Quantitative imaging features to predict cancer status in lung nodules. - Ying Liu; Yoganand Balagurunathan; Thomas Atwater; Sanja Antic; Qian Li; Ronald Walker; Gary T. Smith; Pierre P. Massion; Matthew B. Schabath; Robert J. Gillies (Image Perception, Observer Performance, and Technology Assessment, 2016)

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. - Riqiang Gao; Yuankai Huo; Shunxing Bao; Yucheng Tang; Sanja L. Antic; Emily S. Epstein; Aneri B. Balar; Steve Deppen; Alexis B. Paulson; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (MLMI@MICCAI, 2019)

Lung cancer detection using co-learning from chest CT images and clinical demographics. - Jiachen Wang; Riqiang Gao; Yuankai Huo; Shunxing Bao; Yunxi Xiong; Sanja L. Antic; Travis J. Osterman; Pierre P. Massion; Bennett A. Landman (Image Processing, 2019)

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 (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. - Riqiang Gao; Lingfeng Li; Yucheng Tang; Sanja L. Antic; Alexis B. Paulson; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Image Processing, 2020)

Internal-transfer weighting of multi-task learning for lung cancer detection. - Yiyuan Yang; Riqiang Gao; Yucheng Tang; Sanja L. Antic; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Image Processing, 2020)

Multi-path x-D recurrent neural networks for collaborative image classification. - Riqiang Gao; Yuankai Huo; Shunxing Bao; Yucheng Tang; Sanja L. Antic; Emily S. Epstein; Steve Deppen; Alexis B. Paulson; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Neurocomputing, 2020)

Time-distanced gates in long short-term memory networks. - Riqiang Gao; Yucheng Tang; Kaiwen Xu; Yuankai Huo; Shunxing Bao; Sanja L. Antic; Emily S. Epstein; Steve Deppen; Alexis B. Paulson; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Medical Image Anal., 2020)

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), 2021)

Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk. - Riqiang Gao; Yucheng Tang; Kaiwen Xu; Michael N. Kammer; Sanja L. Antic; Steve Deppen; Kim L. Sandler; Pierre P. Massion; Yuankai Huo; Bennett A. Landman (Image Processing, 2021)

Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans. - Can Luo; James G. Terry; Yucheng Tang; Kaiwen Xu; Pierre P. Massion; Bennett A. Landman; Jeffrey Carr; Yuankai Huo (Image Processing, 2021)

Development and characterization of a chest CT atlas. - Kaiwen Xu; Riqiang Gao; Mirza S. Khan; Shunxing Bao; Yucheng Tang; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Mattias P. Heinrich; Bennett A. Landman (Image Processing, 2021)

Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT. - Riqiang Gao; Mirza S. Khan; Yucheng Tang; Kaiwen Xu; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (CoRR, 2021)