Pierre P. Massion - researchr alias

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Viewing Publication 1 - 15 from 15

2021

Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer riskRiqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman. miip 2021: [doi]

Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation PerspectiveRiqiang 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 2021: 647-656 [doi]

Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scansCan Luo, James G. Terry, Yucheng Tang, Kaiwen Xu, Pierre P. Massion, Bennett A. Landman, Jeffrey Carr, Yuankai Huo. miip 2021: [doi]

Development and characterization of a chest CT atlasKaiwen 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. miip 2021: [doi]

2020

Time-distanced gates in long short-term memory networksRiqiang 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. mia, 65:101785, 2020. [doi]

Multi-path x-D recurrent neural networks for collaborative image classificationRiqiang 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. ijon, 397:48-59, 2020. [doi]

Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imagingRiqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman. miip 2020: [doi]

Semi-supervised Machine Learning with MixMatch and Equivalence ClassesColin 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. miccai 2020: 112-121 [doi]

Semi-supervised Machine Learning with MixMatch and Equivalence ClassesColin 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. miccai 2020: 112-121 [doi]

Internal-transfer weighting of multi-task learning for lung cancer detectionYiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman. miip 2020: 1131323 [doi]

2019

2016

Quantitative imaging features to predict cancer status in lung nodulesYing Liu, Yoganand Balagurunathan, Thomas Atwater, Sanja Antic, Qian Li, Ronald Walker, Gary T. Smith, Pierre P. Massion, Matthew B. Schabath, Robert J. Gillies. miipop 2016: [doi]

2013

Co-expression network analysis identifies Spleen Tyrosine Kinase (SYK) as a candidate oncogenic driver in a subset of small-cell lung cancerAkshata R. Udyavar, Megan D. Hoeksema, Jonathan E. Clark, Yong Zou, Zuojian Tang, Zhiguo Li, Ming Li, Heidi Chen, Alexander R. Statnikov, Yu Shyr, Daniel C. Liebler, John Field, Rosana Eisenberg, Lourdes Estrada, Pierre P. Massion, Vito Quaranta. bmcsb, 7(S-5), 2013. [doi]

2002

Machine learning models for lung cancer classification using array comparative genomic hybridizationConstantin F. Aliferis, Douglas P. Hardin, Pierre P. Massion. amia 2002: [doi]

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