Pierre P. Massion
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
3
Active years
2002–2021
Best venue rank
A
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | MICCAI | 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 |
| 2020 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2003 | FlAIRS | 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 |
| 2002 | AMIA | Machine learning models for lung cancer classification using array comparative genomic hybridization. | Constantin F. Aliferis, Douglas P. Hardin, Pierre P. Massion |