Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Kareem Wahid"'
Autor:
Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031274190
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge, Sep 2022, Singapore, Singapore. pp.1-30, ⟨10.1007/978-3-031-27420-6_1⟩
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge, Sep 2022, Singapore, Singapore. pp.1-30, ⟨10.1007/978-3-031-27420-6_1⟩
International audience; This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on Medical Image Comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d79b573a15e947eb66bc272f918db2a0
https://doi.org/10.1007/978-3-031-27420-6_1
https://doi.org/10.1007/978-3-031-27420-6_1
Autor:
Sara Ahmed, Jarey Wang, Christina Setareh Sharafi, Katherine A. Hutcheson, Mohamed A. Naser, Lisanne V. van Dijk, Renjie He, Travis C. Salzillo, Yao Ding, Brigid A. McDonald, Kareem Wahid, Stephen Y. Lai, Clifton D. Fuller, Abdallah S.R. Mohamed, Jihong Wang, Keith L. Sanders, Brian M. Anderson, Lance A. McCoy, Sam Mulder
Publikováno v:
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology, Vol 20, Iss, Pp 88-93 (2021)
Physics and Imaging in Radiation Oncology, Vol 20, Iss, Pp 88-93 (2021)
Background and Purpose: Conventional magnetic resonance imaging (MRI) poses challenges in quantitative analysis because voxel intensity values lack physical meaning. While intensity standardization methods exist, their effects on head and neck MRI ha
Autor:
Stephen Y. Lai, Clifton D. Fuller, Brigid A. McDonald, Jihong Wang, Lisanne V. van Dijk, Nicolette Taku, Jillian M. Rigert, Travis C. Salzillo, Jarey Wang, Kareem Wahid, Abdallah S.R. Mohamed
Publikováno v:
Semin Radiat Oncol
While there has been an overall decline of tobacco and alcohol-related head and neck cancer in recent decades, there has been an increased incidence of HPV-associated oropharyngeal cancer (OPC). Recent research studies and clinical trials have reveal
Autor:
Mohamed Naser, Vivian Salama, Keith Sanders, Kareem Wahid, Brigid McDonald, Cem Dede, Setareh Sharafi
PurposeParotid whole-gland magnetic resonance (MR) T1 intensity, thresholded at the 90th percentile (T1 P90), has been previously reported to be a candidate MR imaging biomarker (MR-IBM) for improved prediction of xerostomia development after radioth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b100ac4216f7e45aad675fa0a3d1c094
https://doi.org/10.1101/2022.07.11.22277439
https://doi.org/10.1101/2022.07.11.22277439
Publikováno v:
Pract Radiat Oncol
Deep learning is becoming increasingly popular and available to new users, particularly in the medical field. Deep learning image segmentation, outcome analysis, and generators rely on presentation of Digital Imaging and Communications in Medicine (D
Autor:
Clifton D. Fuller, Kareem Wahid, Reid F. Thompson, Jarey H. Wang, Keyvan Farahani, Lisanne V. van Dijk
Publikováno v:
Clinical and Translational Radiation Oncology
Clinical and Translational Radiation Oncology, Vol 28, Iss, Pp 97-115 (2021)
Clinical and Translational Radiation Oncology, Vol 28, Iss, Pp 97-115 (2021)
Highlights • Accurate biomarkers of immunotherapy treatment response are needed. • Radiomic features are emerging biomarkers of tumor immune biology and immunotherapy response. • Delta radiomics may be critical for predicting immunotherapy resp
Autor:
Vivian Salama, Sara Youssef, Tianlin Xu, Jaime Chen, Jillian Rigert, Kareem Wahid, Cielito C. Reyes-Gibby, Anna Lee, Katherine A. Hutcheson, Brandon Gunn, David I. Rosenthal, Abdallah S. R. Mohammed, Lisanne V van Dijk, Ruitao Lin, Clifton D. Fuller, Amy C. Moreno
BackgroundPain is a common, debilitating symptom experienced by patients with oral cavity and oropharyngeal cancer (OC/OPC) treated with radiotherapy (RT). Managing acute pain (AP) over 6 - 7 weeks of RT remains a significant challenge, warranting fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3236fa8ffe45ad1ff49963dd6e33a473
https://doi.org/10.1101/2022.05.05.22274717
https://doi.org/10.1101/2022.05.05.22274717
Purpose/Objective(s)To determine diffusion-weighted imaging (DWI) MRI parameters associated with tumor response and oncologic outcomes in head and neck (HNC) patients treated with definitive radiation therapy (RT).Materials/MethodsEighty-six HNC pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08afb684bb616427ceaffeb1983d6801
https://doi.org/10.1101/2022.04.18.22273782
https://doi.org/10.1101/2022.04.18.22273782
Autor:
Mohamed Naser, Moamen Abobakr Abdelaal, Renjie He, Kareem Wahid, Lisanne Van Dijk, Clifton Fuller, Cem Dede, Abdallah Mohamed
Publikováno v:
Head Neck Tumor Segm Chall (2021)
Lecture Notes in Computer Science ISBN: 9783030982522
Lecture Notes in Computer Science ISBN: 9783030982522
Auto-segmentation of primary tumors in oropharyngeal cancer using PET/CT images is an unmet need that has the potential to improve radiation oncology workflows. In this study, we develop a series of deep learning models based on a 3D Residual Unet (R
Autor:
Clifton D. Fuller, Cem Dede, Kareem Wahid, Abdallah S.R. Mohamed, Renjie He, Lisanne V. van Dijk, Moamen Abobakr Abdelaal, Mohamed A. Naser
Publikováno v:
Head and neck tumor segmentation and outcome prediction : second challenge, HECKTOR 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Head and Neck Tumor Segmentation Challenge (2nd : 2021 ..., 13209, 300-307
PET/CT images provide a rich data source for clinical prediction models in head and neck squamous cell carcinoma (HNSCC). Deep learning models often use images in an end-to-end fashion with clinical data or no additional input for predictions. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec57257cb954018164db78c65246fd63
https://research.rug.nl/en/publications/152a457d-1f91-41ae-9f30-64f620e7ecd5
https://research.rug.nl/en/publications/152a457d-1f91-41ae-9f30-64f620e7ecd5