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Identifying Symptom Clusters Through Association Rule Mining.

, , , , , , , and . AIME, volume 12721 of Lecture Notes in Computer Science, page 491-496. Springer, (2021)

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Improved human observer performance in digital reconstructed radiograph verification in head and neck cancer radiotherapy., , , , , , , , , and 2 other author(s). Int. J. Comput. Assist. Radiol. Surg., 10 (10): 1667-1673 (2015)Identifying Symptom Clusters Through Association Rule Mining., , , , , , , and . AIME, volume 12721 of Lecture Notes in Computer Science, page 491-496. Springer, (2021)Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images., , , , , , , and . HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 121-133. Springer, (2021)Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT., , , , , , , , , and 21 other author(s). HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 1-30. Springer, (2022)Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots., , , , , , , and . IEEE Trans. Vis. Comput. Graph., 25 (4): 1732-1745 (2019)Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology., , , , , and . IEEE VIS (Short Papers), page 281-285. IEEE, (2020)Towards assessment of histopathology correlation with multiple imaging modalities: A pilot study using a visible mouse., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113172B. SPIE, (2020)Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data., , , , , , , and . HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 287-299. Springer, (2021)Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes., , , , , , and . IDEAS, page 273-279. ACM, (2021)Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma., , , , , , , and . HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 300-307. Springer, (2021)