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[1] Anne L. Martel,et al. A margin sharpness measurement for the diagnosis of breast cancer from magnetic resonance imaging examinations. , 2011, Academic radiology.
[2] Ankur Taly,et al. Axiomatic Attribution for Deep Networks , 2017, ICML.
[3] Pietro Liò,et al. On Graph Classification Networks, Datasets and Baselines , 2019, ArXiv.
[4] Wei Xu,et al. Deintensification candidate subgroups in human papillomavirus-related oropharyngeal cancer according to minimal risk of distant metastasis. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[5] Quynh-Thu Le,et al. Delineation of the neck node levels for head and neck tumors: a 2013 update. DAHANCA, EORTC, HKNPCSG, NCIC CTG, NCRI, RTOG, TROG consensus guidelines. , 2014, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[6] B. Judson,et al. Patterns of failure in high-metastatic node number human papillomavirus-positive oropharyngeal carcinoma. , 2018, Oral oncology.
[7] Anna Goldenberg,et al. What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use , 2019, MLHC.
[8] Jan Eric Lenssen,et al. Fast Graph Representation Learning with PyTorch Geometric , 2019, ArXiv.
[9] Adam P. Harrison,et al. Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network , 2020, MICCAI.
[10] Xavier Bresson,et al. Benchmarking Graph Neural Networks , 2020, ArXiv.
[11] Ruijiang Li,et al. Integrating Tumor and Nodal Imaging Characteristics at Baseline and Mid-Treatment Computed Tomography Scans to Predict Distant Metastasis in Oropharyngeal Cancer Treated With Concurrent Chemoradiotherapy. , 2019, International journal of radiation oncology, biology, physics.
[12] R. Fisher,et al. Head and Neck Squamous Cell Carcinoma , 2020, Definitions.
[13] Russell Greiner,et al. Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors , 2011, NIPS.
[14] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[15] F. Harrell,et al. Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors , 2005 .
[16] Xavier Bresson,et al. Residual Gated Graph ConvNets , 2017, ArXiv.
[17] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[18] Andriy Fedorov,et al. Computational Radiomics System to Decode the Radiographic Phenotype. , 2017, Cancer research.
[19] Michael F. Milosevic,et al. A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data , 2021, ArXiv.
[20] Issam El-Naqa,et al. Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer , 2017, Scientific Reports.
[21] O. Riesterer,et al. Combined CT radiomics of primary tumor and metastatic lymph nodes improves prediction of loco-regional control in head and neck cancer , 2019, Scientific Reports.
[22] Stephane Fotso,et al. Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework , 2018, ArXiv.
[23] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.