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Renjie He

University of Texas at Houston - MD Anderson Cancer Center

SCHOLARLY PAPERS

3

DOWNLOADS

133

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Breast Image Mass Detection Model Based on Multi-Scale Feature Reinforcement Network

Number of pages: 30 Posted: 23 Jan 2024
Xianzhe Wang, Ying Li, Hongxu Guo, Renjie He, Jie Quan, Lingyue Wang and Lei Guo
Hebei University of Technology, Hebei University of Technology, Hebei University of Technology, University of Texas at Houston - MD Anderson Cancer Center, Bio-Medical Electronics Co. Ltd, Hebei University of Technology and Hebei University of Technology
Downloads 49 (1,074,648)

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Breast mass detection, Feature pyramid network, Multi-scale features, Faster RCNN

2.

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

3.

Externally Validated Digital Decision Support Tool for Time-to-Osteoradionecrosis Risk-Stratification Using Right-Censored Multi-Institutional Observational Cohorts

Number of pages: 30 Posted: 23 Dec 2024
Laia Humbert-Vidan, Serageldin Kamel, Andrew Wentzel, Zaphanlene Kaffey, Moamen Abdelaal, Kyle B. Spier, Natalie West, Elisabeta Marai, Guadalupe Canahuate, Xinhua Zhang, Melissa M. Chen, Kareem Wahid, Jillian Rigert, Seyedmohammadhossein Hosseinian, Andrew J. Schaefer, Kristy K. Brock, Mark Chambers, Adegbenga O. Otun, Ruth A. Aponte-Wesson, Vinod Patel, Andrew Hope, Jack Phan, Adam S. Garden, Steven J. Frank, William H. Morrison, Michael T. Spiotto, David I. Rosenthal, Anna Lee, Renjie He, Mohamed Naser, Erin Watson, Katherine A. Hutcheson, Abdallah S. R. Mohamed, Vlad C. Sandulache, Lisanne van Dijk, A Moreno, Teresa Guerrero-Urbano, Clifton D. Fuller and Stephen Y. Lai
affiliation not provided to SSRN, University of Texas at Houston - Department of Lymphoma and Myeloma, 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 Illinois at Chicago, University of Iowa, University of Illinois Chicago, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, affiliation not provided to SSRN, affiliation not provided to SSRN, Rice University, affiliation not provided to SSRN, University of Texas at Houston - MD Anderson Cancer Center, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Princess Margaret Hospital, 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, 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, University of Texas at Houston - MD Anderson Cancer Center, Princess Margaret Hospital, University of Texas at Houston - MD Anderson Cancer Center, 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, Guy’s and St Thomas’ NHS Foundation Trust - Department of Clinical Haematology and Oncology, University of Texas at Houston - MD Anderson Cancer Center and University of Texas at Houston - MD Anderson Cancer Center
Downloads 40 (1,183,237)

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osteoradionecrosis of the jaw, time-to-event prediction models, normal tissue complication prediction, radiation-induced toxicity, decision support tool, Radiotherapy, head and neck cancers