Head and neck tumor segmentation in PET/CT: the HECKTOR challenge V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ... Medical image analysis 77, 102336, 2022 | 173 | 2022 |
Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images V Andrearczyk, V Oreiller, S Boughdad, CCL Rest, H Elhalawani, ... 3D head and neck tumor segmentation in PET/CT challenge, 1-37, 2021 | 158 | 2021 |
Risk of endocrine complications in cancer patients treated with immune check point inhibitors: a meta-analysis O Abdel-Rahman, H ElHalawani, M Fouad Future Oncology 12 (3), 413-425, 2016 | 153 | 2016 |
Deep learning algorithm for auto-delineation of high-risk oropharyngeal clinical target volumes with built-in dice similarity coefficient parameter optimization function CE Cardenas, RE McCarroll, LE Court, BA Elgohari, H Elhalawani, ... International Journal of Radiation Oncology* Biology* Physics 101 (2), 468-478, 2018 | 140 | 2018 |
Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy AJ Grossberg, ASR Mohamed, H Elhalawani, WC Bennett, KE Smith, ... Scientific data 5 (1), 1-10, 2018 | 104 | 2018 |
Overview of the HECKTOR challenge at MICCAI 2020: automatic head and neck tumor segmentation in PET/CT V Andrearczyk, V Oreiller, M Jreige, M Vallieres, J Castelli, H Elhalawani, ... Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in …, 2021 | 98 | 2021 |
Automatic detection of contouring errors using convolutional neural networks DJ Rhee, CE Cardenas, H Elhalawani, R McCarroll, L Zhang, J Yang, ... Medical physics 46 (11), 5086-5097, 2019 | 94 | 2019 |
Exploring applications of radiomics in magnetic resonance imaging of head and neck cancer: a systematic review A Jethanandani, TA Lin, S Volpe, H Elhalawani, ASR Mohamed, P Yang, ... Frontiers in oncology 8, 131, 2018 | 90 | 2018 |
Risk of gastrointestinal complications in cancer patients treated with immune checkpoint inhibitors: a meta-analysis O Abdel-Rahman, H ElHalawani, M Fouad Immunotherapy 7 (11), 1213-1227, 2015 | 87 | 2015 |
Dose-volume correlates of mandibular osteoradionecrosis in Oropharynx cancer patients receiving intensity-modulated radiotherapy: Results from a case-matched comparison ASR Mohamed, BP Hobbs, KA Hutcheson, MS Murri, N Garg, J Song, ... Radiotherapy and Oncology 124 (2), 232-239, 2017 | 86 | 2017 |
A PET radiomics model to predict refractory mediastinal Hodgkin lymphoma SA Milgrom, H Elhalawani, J Lee, Q Wang, ASR Mohamed, BS Dabaja, ... Scientific reports 9 (1), 1322, 2019 | 84 | 2019 |
Risk of cutaneous toxicities in patients with solid tumors treated with immune checkpoint inhibitors: a meta-analysis O Abdel-Rahman, H ElHalawani, M Fouad Future oncology 11 (17), 2471-2484, 2015 | 84 | 2015 |
Gemcitabine‐based chemotherapy for advanced biliary tract carcinomas O Abdel‐Rahman, Z Elsayed, H Elhalawani Cochrane Database of Systematic Reviews, 2018 | 80 | 2018 |
Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients Scientific reports 8 (1), 1524, 2018 | 76 | 2018 |
Automatic segmentation of head and neck tumors and nodal metastases in PET-CT scans V Andrearczyk, V Oreiller, M Vallières, J Castelli, H Elhalawani, M Jreige, ... Medical imaging with deep learning, 33-43, 2020 | 74 | 2020 |
Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks CE Cardenas, BM Anderson, M Aristophanous, J Yang, DJ Rhee, ... Physics in Medicine & Biology 63 (21), 215026, 2018 | 69 | 2018 |
How might AI and chest imaging help unravel COVID-19’s mysteries? S Kundu, H Elhalawani, JW Gichoya, CE Kahn Jr Radiology: Artificial Intelligence 2 (3), e200053, 2020 | 68 | 2020 |
Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT-and PET-imaged head and neck cancer patients RB Ger, S Zhou, B Elgohari, H Elhalawani, DM Mackin, JG Meier, ... PLoS One 14 (9), e0222509, 2019 | 66 | 2019 |
Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer M Bogowicz, A Jochems, TM Deist, S Tanadini-Lang, SH Huang, B Chan, ... Scientific reports 10 (1), 4542, 2020 | 61 | 2020 |
Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges H Elhalawani, ASR Mohamed, AL White, J Zafereo, AJ Wong, JE Berends, ... Scientific data 4, 170077, 2017 | 60 | 2017 |