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Alaa Mohamed Shawky Ali

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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67

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0

Scholarly Papers (2)

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1.

Image-Based Mandibular and Maxillary Parcellation and Annotation Using Computer Tomography (Impact): A Deep Learning-Based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment

Downloads 44 (1,133,231)

Image-Based Mandibular and Maxillary Parcellation and Annotation Using Computer Tomography (Impact): A Deep Learning-Based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment

Number of pages: 26 Posted: 28 Apr 2025
Laia Humbert-Vidan, Austin H. Castelo, Renjie He, Lisanne van Dijk, Dong Joo Rhee, Congjun Wang, He Wang, Kareem Wahid, Sonali Joshi, Parshan Gerafian, Natalie West, Zaphanlene Kaffey, Sarah Mirbahaeddin, Jaqueline Curiel, Samrina Acharya, Amal Shekha, Praise Oderinde, Alaa Mohamed Shawky Ali, Andrew Hope, Erin Watson, Ruth A. Aponte-Wesson, Steven J. Frank, Carly E.A. Barbon, Kristy K. Brock, Mark Chambers, Muhammad Walji, Katherine A. Hutcheson, Stephen Y. Lai, Clifton D. Fuller, Mohamed Naser and A Moreno
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, California University of Science and Medicine, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Princess Margaret Hospital, Princess Margaret Hospital, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center and University of Texas at Houston - MD Anderson Cancer Center
Downloads 23 (1,459,262)

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Head and neck cancer, Radiotherapy, deep-learning auto-segmentation models, orodental structures, osteoradionecrosis

Image-Based Mandibular and Maxillary Parcellation and Annotation Using Computer Tomography (Impact): A Deep Learning-Based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment

Number of pages: 29 Posted: 05 Apr 2025
Laia Humbert-Vidan, Austin H. Castelo, Renjie He, Lisanne van Dijk, Dong Joo Rhee, Congjun Wang, He Wang, Kareem Wahid, Sonali Joshi, Parshan Gerafian, Natalie West, Zaphanlene Kaffey, Sarah Mirbahaeddin, Jaqueline Curiel, Samrina Acharya, Amal Shekha, Praise Oderinde, Alaa Mohamed Shawky Ali, Andrew Hope, Erin Watson, Ruth A. Aponte-Wesson, Steven J. Frank, Carly E.A. Barbon, Kristy K. Brock, Mark Chambers, Muhammad Walji, Katherine A. Hutcheson, Stephen Y. Lai, Clifton D. Fuller, Mohamed Naser and A Moreno
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, California University of Science and Medicine, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Princess Margaret Hospital, Princess Margaret Hospital, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center and University of Texas at Houston - MD Anderson Cancer Center
Downloads 21 (1,486,852)

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deep-learning auto-segmentation models, Head and neck cancer, osteoradionecrosis, orodental structures

2.

Technical Development and in Silico Implementation of Syntheticmr in Head and Neck Adaptive Radiation Therapy: A Prospective R-Ideal Stage 0/1 Technology Development Report

Number of pages: 16 Posted: 22 Oct 2024
Lucas McCullum, Samuel L. Mulder, Natalie West, Robert Aghoghovbia, Alaa Mohamed Shawky Ali, Hayden Scott, Travis C. Salzillo, Yao Ding, Alex Dresner, Ergys Subashi, Dan Ma, R. Jason Stafford, Ken-Pin Hwang and Clifton D. Fuller
affiliation not provided to SSRN, Abilene Christian University, affiliation not provided to SSRN, Morehouse School of Medicine, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, Case Western Reserve University, affiliation not provided to SSRN, affiliation not provided to SSRN and University of Texas at Houston - MD Anderson Cancer Center
Downloads 23 (1,411,822)

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SyntheticMR, SyMRI, MRI, Quantitative Imaging, MR-Linac, Radiotherapy, Radiation therapy, Adaptive Radiation Therapy, Head and Neck Cancer