Pierre P. Massion

According to our database, Pierre P. Massion authored at least 17 papers between 2002 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 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

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 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

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

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

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

Proceedings of the Medical Imaging 2020: Image Processing, 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

Proceedings of the Medical Imaging 2020: Image Processing, 2020

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

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

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

Proceedings of the Medical Imaging 2019: Image Processing, 2019

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

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2016

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

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2013

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, Heidi Chen, Alexander R. Statnikov, Yu Shyr, Daniel C. Liebler, John K. Field, Rosana Eisenberg, Lourdes Estrada, Pierre P. Massion, Vito Quaranta

BMC Syst. Biol., 2013

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

Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003

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

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2002

Machine learning models for lung cancer classification using array comparative genomic hybridization.

Constantin F. Aliferis, Douglas P. Hardin, Pierre P. Massion

Proceedings of the AMIA 2002, 2002