Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: cran: hdnom
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/hdnom
Benchmarking and Visualization Toolkit for Penalized Cox Models
16 versions
Latest release: over 1 year ago
2 dependent packages
532 downloads last month
Papers Mentioning hdnom 9
10.1371/journal.pone.0225253
Visualising statistical models using dynamic nomogramsCited by: 78
Author(s): Amirhossein Jalali, Alberto Alvarez‐Iglesias, Davood Roshan, John Newell
Software Mentions: 11
Published: about 5 years ago
10.1186/s41512-021-00103-9
The development and validation of prognostic models for overall survival in the presence of missing data in the training dataset: a strategy with a detailed exampleCited by: 1
Author(s): Kara-Louise Royle, David A. Cairns
Software Mentions: 8
Published: over 3 years ago
10.3389/fonc.2019.01057
Prognostic Value of Texture Analysis Based on Pretreatment DWI-Weighted MRI for Esophageal Squamous Cell Carcinoma Patients Treated With Concurrent Chemo-RadiotherapyCited by: 8
Author(s): Zhenjiang Li, Chun Han, Lan Wang, Jian Zhu, Yong Yin, Baosheng Li
Software Mentions: 4
Published: about 5 years ago
10.1007/s00330-017-5031-5
Optimising preoperative risk stratification tools for prostate cancer using mpMRICited by: 17
Author(s): Lars Anders Rokne Reisæter, Jurgen J. Fütterer, Are Losnegård, Yngve Nygård, Jan Ankar Monssen, Karsten Gravdal, Ole J. Halvorsen, Lars A. Akslen, Martin Biermann, Svein A. Haukaas, Jarle Rørvik, Christian Beisland
Software Mentions: 4
Published: about 7 years ago
10.3389/fendo.2019.00403
Preoperative Noninvasive Radiomics Approach Predicts Tumor Consistency in Patients With Acromegaly: Development and Multicenter Prospective ValidationCited by: 32
Author(s): Yanghua Fan, Hua Min, Anna Mou, Minxian Wu, Xiaohai Liu, Xinjie Bao, Renzhi Wang, Ming Feng
Software Mentions: 2
Published: over 5 years ago
10.3389/fonc.2021.625220
Three-Dimensional Radiomics Features From Multi-Parameter MRI Combined With Clinical Characteristics Predict Postoperative Cerebral Edema Exacerbation in Patients With MeningiomaCited by: 8
Author(s): Bing Xiao, Yanghua Fan, Zhe Zhang, Zilong Tan, Huan Yang, Wei Tu, Lei Wu, Xiaoli Shen, Hua Guo, Zhen Wu, Xingen Zhu
Software Mentions: 1
Published: over 3 years ago
10.1371/journal.pone.0204161
Preoperative and postoperative prediction of long-term meningioma outcomesCited by: 29
Author(s): Efstathios D. Gennatas, Ashley Wu, Steve Braunstein, Olivier Morin, William Chen, Stephen T. Magill, Chetna Gopinath, Javier E Villaneueva-Meyer, Arie Perry, Michael W. McDermott, Timothy D. Solberg, Gilmer Valdés, David R. Raleigh
Software Mentions: 1
Published: about 6 years ago
10.3389/fendo.2019.00588
Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With AcromegalyCited by: 34
Author(s): Yanghua Fan, Shimin Jiang, Hua Min, Shanshan Feng, Ming Feng, Renzhi Wang
Software Mentions: 1
Published: about 5 years ago
10.1186/s12885-019-6430-6
Nomograms to predict individual prognosis of patients with squamous cell carcinoma of the urinary bladderCited by: 10
Author(s): Guanghao Zhang, Zhiwei Li, Daoqing Song, Zhiqing Fang
Software Mentions: 1
Published: almost 5 years ago