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Muhammad Walji

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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49

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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.

Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction

Number of pages: 42 Posted: 23 Jun 2026
Yao-Shun Chuang, Tushti Mody, Uday Pratap Singh, Shirindokht Shiraz, Chun-Teh Lee, Ryan Brandon, Muhammad Walji, Xiaoqian Jiang and Bunmi Tokede
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, University of Texas at Houston - Center for Secure Artificial Intelligence for Healthcare and affiliation not provided to SSRN
Downloads 5

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Clinical named entity recognitionLarge language modelsNatural language processingAutomated prompt optimizationDirect preference optimizationfine-tuning