Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images. - Mohamed A. Naser; Lisanne van Dijk; Renjie He; Kareem A. Wahid; Clifton D. Fuller (HECKTOR@MICCAI, 2020)

Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology. - Andrew Wentzel; Guadalupe Canahuate; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; G. Elisabeta Marai (IEEE VIS (Short Papers), 2020)

Identifying Symptom Clusters Through Association Rule Mining. - Mikayla Biggs; Carla Floricel; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; G. Elisabeta Marai; Xinhua Zhang; Guadalupe Canahuate (AIME, 2021)

Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes. - Yaohua Wang; Guadalupe Canahuate; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; Xinhua Zhang; Georgeta Elisabeta Marai (IDEAS, 2021)

Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images. - Mohamed A. Naser; Kareem A. Wahid; Lisanne van Dijk; Renjie He; Moamen Abobakr Abdelaal; Cem Dede; Abdallah Sherif Radwan Mohamed; Clifton D. Fuller (HECKTOR@MICCAI, 2021)

Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data. - Mohamed A. Naser; Kareem A. Wahid; Abdallah Sherif Radwan Mohamed; Moamen Abobakr Abdelaal; Renjie He; Cem Dede; Lisanne van Dijk; Clifton D. Fuller (HECKTOR@MICCAI, 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. - Kareem A. Wahid; Renjie He; Cem Dede; Abdallah Sherif Radwan Mohamed; Moamen Abobakr Abdelaal; Lisanne van Dijk; Clifton D. Fuller; Mohamed A. Naser (HECKTOR@MICCAI, 2021)

Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach. - Hung Chu; Luis Ricardo De la O. Arévalo; Wei Tang 014; Baoqiang Ma; Yan Li; Alessia De Biase; Stefan Both; Johannes A. Langendijk; Peter M. A. van Ooijen; Nanna Maria Sijtsema; Lisanne van Dijk (HECKTOR@MICCAI, 2022)

Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients. - Baoqiang Ma; Yan Li; Hung Chu; Wei Tang 014; Luis Ricardo De la O. Arévalo; Jiapan Guo; Peter M. A. van Ooijen; Stefan Both; Johannes A. Langendijk; Lisanne van Dijk; Nanna Maria Sijtsema (HECKTOR@MICCAI, 2022)

Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images. - Alessia De Biase; Nanna Maria Sijtsema; Lisanne van Dijk; Johannes A. Langendijk; Peter M. A. van Ooijen (CoRR, 2022)

THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy. - Carla Floricel; Nafiul Nipu; Mikayla Biggs; Andrew Wentzel; Guadalupe Canahuate; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; G. Elisabeta Marai (IEEE Trans. Vis. Comput. Graph., 2022)

Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients. - Yaohua Wang; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Mohamed A. Naser; Clifton David Fuller; Xinhua Zhang; G. Elisabeta Marai; Guadalupe Canahuate (ICHI, 2023)

TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer. - Baoqiang Ma; Jiapan Guo; Lisanne van Dijk; Peter M. A. van Ooijen; Stefan Both; Nanna Maria Sijtsema (MIDL, 2023)

DASS Good: Explainable Data Mining of Spatial Cohort Data. - Andrew Wentzel; Carla Floricel; Guadalupe Canahuate; Mohamed A. Naser; Abdallah S. Mohamed; Clifton D. Fuller; Lisanne van Dijk; G. Elisabeta Marai (Comput. Graph. Forum, 2023)

MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble. - Frank N. Mol; Luuk van der Hoek; Baoqiang Ma; Bharath Chowdhary Nagam; Nanna Maria Sijtsema; Lisanne van Dijk; Kerstin Bunte; Rifka Vlijm; Peter M. A. van Ooijen (HNTS-MRG@MICCAI, 2024)

Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test. - Alessia De Biase; Liv Ziegfeld; Nanna Maria Sijtsema; Roel Steenbakkers; Robin Wijsman; Lisanne van Dijk; Johannes A. Langendijk; Fokie Cnossen; Peter M. A. van Ooijen (Comput. Biol. Medicine, 2024)

Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer. - Alessia De Biase; Baoqiang Ma; Jiapan Guo; Lisanne van Dijk; Johannes A. Langendijk; Stefan Both; Peter M. A. van Ooijen; Nanna Maria Sijtsema (Comput. Methods Programs Biomed., 2024)

Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort. - Alessia De Biase; Nanna Maria Sijtsema; Lisanne van Dijk; Roel Steenbakkers; Johannes A. Langendijk; Peter M. A. van Ooijen (Comput. Medical Imaging Graph., 2025)