Mohamed A. Naser

The University of Texas MD Anderson Cancer Center

MedicinePhysics and Astronomy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile

0.352Author DataRank

Indexed papers

3in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study

medRxiv(2022)10.1101/2022.04.18.22273782

Top 50%

0.352DataRank

Top 50%6 citations

Abdallah Mohamed, Abdelrahman Abusaif, Renjie He, Kareem A. Wahid, Vivian Salama +10 more

Papers

Driven by 72 papers — median percentile 0. Top paper: “Intensity standardization methods in magnetic resonance imaging of head and neck cancer”.

Intensity standardization methods in magnetic resonance imaging of head and neck cancer

Physics and Imaging in Radiation Oncology(2021)10.1016/j.phro.2021.11.001

N/A

1.2DataRank · unranked

36 citations

Renjie He, Brigid A. McDonald, Brian Anderson, Travis C. Salzillo, Samuel L. Mulder +14 more

Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases

Frontiers in Oncology(2023)10.3389/fonc.2023.1120392

N/A

0.525DataRank · unranked

10 citations

Kareem A. Wahid, Enrico Glerean, Joel Jaskari, Mohamed A. Naser, Renjie He +5 more

Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study

medRxiv(2022)10.1101/2022.04.18.22273782

Top 50%

0.352DataRank

Top 50%6 citations

Abdallah Mohamed, Abdelrahman Abusaif, Renjie He, Kareem A. Wahid, Vivian Salama +10 more

Why is the Winner the Best?

Amsterdam UMC (VU Amsterdam) - Institutional Repository(2023)10.1109/cvpr52729.2023.01911

N/A

0.292DataRank · unranked

6 citations

Andreas Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Thomas Adler +95 more

Deep Learning Auto-Segmentation of Cervical Neck Skeletal Muscle for Sarcopenia Analysis Using Pre-Therapy CT in Patients with Head and Neck Cancer

medRxiv(2021)10.1101/2021.12.19.21268063

N/A

0.292DataRank · unranked

6 citations

Kareem A. Wahid, Aaron J. Grossberg, Brennan Olson, Rishab Jain, Dina El-Habashy +10 more

Exploring Quantitative MRI Biomarkers of Head and Neck Post‐Radiation Lymphedema and Fibrosis: Post Hoc Analysis of a Prospective Trial

Head & Neck(2025)10.1002/hed.28062

N/A

0.292DataRank · unranked

6 citations

Shitong Mao, Jihong Wang, Holly McMillan, Abdallah Mohamed, Sheila Buoy +12 more

Computed tomography radiomics-based cross-sectional detection of mandibular osteoradionecrosis in head and neck cancer survivors

Oral Oncology(2025)10.1016/j.oraloncology.2025.107337

N/A

0.269DataRank · unranked

5 citations

Laia Humbert‐Vidan, Zaphanlene Kaffey, Sarah Mirbahaeddin, Abdulrahman Abusaif, D Fuentes +20 more

Development of a High-Performance Multiparametric MRI Oropharyngeal Primary Tumor Auto-Segmentation Deep Learning Model and Investigation of Input Channel Effects: Results from a Prospective Imaging Registry

medRxiv(2021)10.1101/2021.07.27.21261114

N/A

0.241DataRank · unranked

4 citations

Sara Ahmed, Renjie He, Lisanne V. van Dijk, Jonas Teuwen, Brigid A. McDonald +9 more

Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge

Lecture notes in computer science(2025)10.1007/978-3-031-83274-1_1

N/A

0.241DataRank · unranked

4 citations

Cem Dede, Dina El-Habashy, Serageldin Kamel, Michael K. Rooney, Yomna Khamis +19 more

Multi‐modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers

Medical Physics(2024)10.1002/mp.17260

N/A

0.208DataRank · unranked

3 citations

Xin Wang, Jack Phan, Xinru Chen, Anna Lee, Cenji Yu +10 more

Development and implementation of optimized endogenous contrast sequences for delineation in adaptive radiotherapy on a 1.5T MR-linear-accelerator: a prospective R-IDEAL stage 0-2a quantitative/qualitative evaluation of in vivo site-specific quality-assurance using a 3D T2 fat-suppressed platform fo

Journal of Medical Imaging(2023)10.1117/1.jmi.10.6.065501

N/A

0.165DataRank · unranked

2 citations

Travis C. Salzillo, M. Alex Dresner, Ashley Way, Kareem A. Wahid, Brigid A. McDonald +16 more

Image-based mandibular and maxillary parcellation and annotation using computed tomography (IMPACT): a deep learning-based clinical tool for orodental dose estimation and osteoradionecrosis assessment

Physics and Imaging in Radiation Oncology(2025)10.1016/j.phro.2025.100817

N/A

0.165DataRank · unranked

2 citations

Austin H. Castelo, Renjie He, Lisanne V. van Dijk, Dong Joo Rhee, Congjun Wang +29 more

Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma

medRxiv(2021)10.1101/2021.10.14.21264958

N/A

0.165DataRank · unranked

2 citations

Renjie He, Cem Dede, Abdallah Mohamed, Moamen Abobakr Abdelaal, Lisanne V. van Dijk +3 more

Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: benchmarking data sharing and artificial intelligence use-cases

medRxiv(2022)10.1101/2022.01.22.22269695

N/A

0.104DataRank · unranked

1 citations

Kareem A. Wahid, Enrico Glerean, Joel Jaskari, Mohamed A. Naser, Renjie He +5 more

Comparison of Machine Leaning Models for Prediction of Acute Pain Severity and On-Treatment Opioid Utilization in Oral Cavity and Oropharyngeal Cancer Patients Receiving Radiation Therapy: Exploratory Analysis from a Large-Scale Retrospective Cohort

medRxiv(2024)10.1101/2024.02.06.24302341

N/A

0.104DataRank · unranked

1 citations

Laia Humbert‐Vidan, Brandon Godinich, Kareem A. Wahid, Dina El-Habashy, Mohamed A. Naser +9 more

Why is the winner the best?

arXiv (Cornell University)(2023)10.48550/arxiv.2303.17719

N/A

0.104DataRank · unranked

1 citations

Annika Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Tim Adler +95 more

Muscle and Adipose Tissue Segmentations at the C3 Vertebral Level for Sarcopenia-Related Clinical Decision-Making in Patients with Head and Neck Cancer

medRxiv(2022)10.1101/2022.01.23.22269674

N/A

0.104DataRank · unranked

1 citations

Brennan Olson, Rishab Jain, Aaron J. Grossberg, Dina El-Habashy, Cem Dede +10 more

Improved Xerostomia Prediction in Head and Neck Cancer Patients with Dixon Magnetic Resonance Imaging of Glandular Adiposity: Validation of Semi-Quantitative Parotid T1 Signal Intensity Metrics for Biomarker Pre-Qualification

medRxiv(2022)10.1101/2022.07.11.22277439

N/A

0.104DataRank · unranked

1 citations

the MD Anderson Head and Neck Cancer Symptom Working Group, Keith L. Sanders, Sam Mulder, Kareem A. Wahid, Brigid A. McDonald +17 more

Radiation-specific Automated Dosimetric dental, Mandible, and maxilla Annotation for Predicting Periodontal Problems (RADMAP): A semi-automated tool for dosimetric oral risk communication and osteoradionecrosis assessment

medRxiv(2025)10.1101/2025.11.23.25340237

N/A

0.104DataRank · unranked

1 citations

Laia Humbert‐Vidan, Erin Watson, Ruth Aponte Wesson, Luisa E. Jacomina, Renjie He +12 more

Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline

medRxiv(2023)10.1101/2023.03.01.23286638

N/A

0.104DataRank · unranked

1 citations

Anurag Saraf, Yashwanth Ravipati, Frank Hoebers, Yining Zha, Anna Zapaishchykova +16 more

Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5T MR-Linear accelerator hybrid system: A prospective R-IDEAL Stage 2a imaging biomarker characterization/ pre-qualification study

medRxiv(2023)10.1101/2023.05.04.23289527

N/A

0.104DataRank · unranked

1 citations

Dina El-Habashy, Kareem A. Wahid, Renjie He, Brigid A. McDonald, Jillian Rigert +26 more

Multi-organ spatial stratification of 3-D dose distributions improves risk prediction of long-term self-reported severe symptoms in oropharyngeal cancer patients receiving radiotherapy: development of a pre-treatment decision support tool

Frontiers in Oncology(2023)10.3389/fonc.2023.1210087

N/A

0DataRank · unranked

7 citations

Abdallah Mohamed, Mohamed A. Naser, Lisanne V. van Dijk, Katherine A. Hutcheson, Amy M. Moreno +4 more

Dynamic Contrast Enhanced MRI as a Biomarker of Tumor Response and Oncologic Outcomes in Head and Neck Cancer: Results of a Single Institution Prospective Imaging Study

International Journal of Radiation Oncology*Biology*Physics(2023)10.1016/j.ijrobp.2023.06.2134

N/A

0DataRank · unranked

2 citations

Abdallah Mohamed, M. Abobakr, Renjie He, Kareem A. Wahid, S.M. Ahmed +11 more

Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites

Scientific Data(2023)10.1038/s41597-023-02062-w

N/A

0DataRank · unranked

14 citations

Diana Lin, Onur Sahin, Michael Cislo, Benjamin E. Nelms, Renjie He +9 more

Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients

PubMed(2023)10.1109/ichi57859.2023.00047

N/A

0DataRank · unranked

8 citations

Lisanne V. van Dijk, Abdallah Mohamed, Mohamed A. Naser, Clifton D. Fuller, Xinhua Zhang +3 more

Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case

medRxiv(2023)10.1101/2023.02.20.23286188

N/A

0DataRank · unranked

7 citations

Joel Jaskari, Kareem A. Wahid, Sara Ahmed, Enrico Glerean, Renjie He +6 more

Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

arXiv (Cornell University)(2023)10.48550/arxiv.2310.10867

N/A

0DataRank · unranked

1 citations

Carlos Cárdenas, Barbara Marquez, Tucker Netherton, Benjamin H. Kann, Laurence E. Court +6 more

DASS Good: Explainable Data Mining of Spatial Cohort Data

arXiv (Cornell University)(2023)10.48550/arxiv.2304.04870

N/A

0DataRank · unranked

0 citations

Carla Floricel, Guadalupe Canahuate, Mohamed A. Naser, Abdallah Mohamed, Clifton D. Fuller +3 more

Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment

medRxiv(2023)10.1101/2023.08.18.23294280

N/A

0DataRank · unranked

0 citations

Kareem A. Wahid, Renjie He, Brigid A. McDonald, Samuel J. Mulder, Yao Ding +9 more

Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation

medRxiv(2023)10.1101/2023.08.30.23294786

N/A

0DataRank · unranked

0 citations

Onur Sahin, Suprateek Kundu, Diana Lin, Anthony Alanis, Salik Tehami +16 more

Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review

Journal of Pain and Symptom Management(2024)10.1016/j.jpainsymman.2024.07.025

N/A

0DataRank · unranked

32 citations

Brandon Godinich, Yimin Geng, Laia Humbert‐Vidan, Laura Maule, Kareem A. Wahid +6 more

Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review

Radiotherapy and Oncology(2024)10.1016/j.radonc.2024.110542

N/A

0DataRank · unranked

25 citations

Zaphanlene Kaffey, David Farris, Laia Humbert‐Vidan, Amy C. Moreno, Mathis Rasmussen +9 more

Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning

Communications Medicine(2024)10.1038/s43856-024-00528-5

N/A

0DataRank · unranked

18 citations

Joel Jaskari, Kareem A. Wahid, Sara Ahmed, Enrico Glerean, Renjie He +6 more

Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

Advances in Radiation Oncology(2024)10.1016/j.adro.2024.101521

N/A

0DataRank · unranked

7 citations

Carlos Cárdenas, Barbara Marquez, Tucker Netherton, Benjamin H. Kann, Laurence E. Court +6 more

Longitudinal changes in the carotid arteries of head and neck cancer patients following radiation therapy: Results from a prospective serial imaging biomarker characterization study

Radiotherapy and Oncology(2024)10.1016/j.radonc.2024.110220

N/A

0DataRank · unranked

4 citations

Abdallah Mohamed, Peter Chaftari, David I. Rosenthal, Dorothy M. Gujral, Christopher M. Nutting +7 more

Uncertainty Quantification in Machine Learning Radiotherapy Applications - A Scoping Review

International Journal of Radiation Oncology*Biology*Physics(2024)10.1016/j.ijrobp.2024.07.1389

N/A

0DataRank · unranked

2 citations

K.A. Wahid, Dominic J. Farris, Laia Humbert‐Vidan, T. Netherton, G. Balakrishnan +6 more

Dataset of weekly intra-treatment diffusion weighted imaging in head and neck cancer patients treated with MR-Linac

Scientific Data(2024)10.1038/s41597-024-03217-z

N/A

0DataRank · unranked

7 citations

Kareem A. Wahid, Renjie He, Brigid A. McDonald, Samuel J. Mulder, Yao Ding +10 more

Computed tomography radiomics-based cross-sectional detection of mandibular osteoradionecrosis in head and neck cancer survivors

medRxiv(2024)10.1101/2024.09.11.24313485

N/A

0DataRank · unranked

3 citations

Serageldin Kamel, Laia Humbert‐Vidan, Zaphanlene Kaffey, Abdulrahman Abusaif, David Fuentes +20 more

Optimal Timing of Organs-at-Risk-Sparing Adaptive Radiation Therapy for Head-and-Neck Cancer under Re-planning Resource Constraints

medRxiv(2024)10.1101/2024.04.01.24305163

N/A

0DataRank · unranked

2 citations

Cem Dede, Lucas McCullum, Raúl García, Abdallah Mohamed, Jacob G. Scott +15 more

Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping Review

medRxiv(2024)10.1101/2024.05.13.24307226

N/A

0DataRank · unranked

2 citations

Zaphanlene Kaffey, David Farris, Laia Humbert‐Vidan, Amy C. Moreno, Mathis Ersted Rasmussen +9 more

Mandibular dose-volume predicts time-to-osteoradionecrosis in an actuarial normal-tissue complication probability (NTCP) model: External validation of right-censored clinico-dosimetric and competing risk application across international multi-institutional observational cohorts and online graphical user interface clinical support tool assessment

medRxiv(2024)10.1101/2024.08.20.24312311

N/A

0DataRank · unranked

1 citations

Laia Humbert‐Vidan, Serageldin Kamel, Andrew Wentzel, Zaphanlene Kaffey, Moamen Abobakr Abdelaal +35 more

Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation

JCO Clinical Cancer Informatics(2024)10.1200/cci.23.00174

Top 100%

0DataRank

Top 100%0 citations

Onur Sahin, Suprateek Kundu, Diana Lin, Anthony Alanis, Salik Tehami +16 more

Evaluating Observer Reliability and Diagnostic Accuracy of CT-LEFAT Criteria for Post-Treatment Head and Neck Lymphedema: A Prospective Blinded Comparative Analysis of Oncologist Human Inter-Rater Performance

medRxiv(2024)10.1101/2024.09.17.24313809

N/A

0DataRank · unranked

0 citations

Natalie West, Serageldin K. Attia, Zaphanlene Kaffey, Cem Dede, Samuel L. Mulder +13 more

Quantitative DW-MRI Monitoring of Metastatic Lymph Nodes in HPV+ Head and Neck Cancer Using MR-Linac

International Journal of Radiation Oncology*Biology*Physics(2024)10.1016/j.ijrobp.2024.07.177

N/A

0DataRank · unranked

0 citations

Renjie He, Brigid A. McDonald, K.A. Wahid, Yao Ding, Sam Mulder +6 more

International multispecialty expert physician preoperative identification of extranodal extension in patients with oropharyngeal cancer using computed tomography: Prospective blinded human inter‐observer performance evaluation

Cancer(2025)10.1002/cncr.35815

N/A

0DataRank · unranked

6 citations

Serageldin Kamel, Kareem A. Wahid, Cem Dede, Nicolette Taku, Renjie He +42 more

Externally validated digital decision support tool for time-to-osteoradionecrosis risk-stratification using right-censored multi-institutional observational cohorts

Radiotherapy and Oncology(2025)10.1016/j.radonc.2025.110890

N/A

0DataRank · unranked

6 citations

Serageldin Kamel, Andrew Wentzel, Zaphanlene Kaffey, Moamen Abobakr Abdelaal, Kyle Spier +40 more

Evaluating observer reliability and diagnostic accuracy of CT-LEFAT criteria for post-treatment head and neck lymphedema: A prospective blinded comparative analysis

Oral Oncology(2025)10.1016/j.oraloncology.2025.107265

N/A

0DataRank · unranked

3 citations

Serageldin K. Attia, Zaphanlene Kaffey, Cem Dede, Samuel L. Mulder, Dina El-Habashy +12 more

Advancing modified barium swallow pre-sorting with deep learning: a new paradigm for the first step analysis in X-ray swallowing study

International Journal of Computer Assisted Radiology and Surgery(2025)10.1007/s11548-025-03505-y

N/A

0DataRank · unranked

1 citations

Mohamed A. Naser, Sheila Buoy, Kristy K. Brock, Katherine A. Hutcheson, Shitong Mao

Optimal timing of organs-at-risk-sparing adaptive radiation therapy for head-and-neck cancer under re-planning resource constraints

Physics and Imaging in Radiation Oncology(2025)10.1016/j.phro.2025.100715

N/A

0DataRank · unranked

1 citations

Cem Dede, Lucas McCullum, Raúl García, Abdallah Mohamed, Jacob G. Scott +15 more

Clinical and dosimetric dataset of time-to-event normal tissue complication probability for osteoradionecrosis

medRxiv(2025)10.1101/2025.08.12.25333524

N/A

0DataRank · unranked

0 citations

Serageldin Kamel, Andrew Wentzel, Zaphanlene Kaffey, Moamen Abobakr Abdelaal, G. Elisabeta Marai +19 more

Normal Tissue Complication Probability (NTCP) Prediction Model for Osteoradionecrosis of the Mandible in Patients With Head and Neck Cancer After Radiation Therapy: Large-Scale Observational Cohort

International Journal of Radiation Oncology*Biology*Physics(2021)10.1016/j.ijrobp.2021.04.042

N/A

0DataRank · unranked

64 citations

Abdelrahman Abusaif, Jillian Rigert, Mohamed A. Naser, Katherine A. Hutcheson, Stephen Y. Lai +3 more

Computed Tomography Orodental Sub-volume Imaging Annotation Dataset of Head and Neck Cancer Radiation Therapy Patients

medRxiv(2025)10.1101/2025.09.09.25333678

Top 100%

0DataRank

Top 100%0 citations

Austin H. Castelo, Renjie He, Lisanne V. van Dijk, Dong Joo Rhee, Congjun Wang +28 more

Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry

Clinical and Translational Radiation Oncology(2021)10.1016/j.ctro.2021.10.003

N/A

0DataRank · unranked

57 citations

Sara Ahmed, Renjie He, Lisanne V. van Dijk, Jonas Teuwen, Brigid A. McDonald +9 more

Progression Free Survival Prediction for Head and Neck Cancer using Deep Learning based on Clinical and PET-CT Imaging Data

medRxiv(2021)10.1101/2021.10.14.21264955

N/A

0DataRank · unranked

7 citations

Kareem A. Wahid, Abdallah Mohamed, Moamen Abobakr Abdelaal, Renjie He, Cem Dede +3 more

MRI Intensity Standardization Evaluation Design for Head and Neck Quantitative Imaging Applications

medRxiv(2021)10.1101/2021.02.24.21252322

N/A

0DataRank · unranked

6 citations

Renjie He, Brigid A. McDonald, Brian Anderson, Travis C. Salzillo, Sam Mulder +14 more

Head and Neck Cancer Primary Tumor Auto Segmentation using Model Ensembling of Deep Learning in PET-CT Images

medRxiv(2021)10.1101/2021.10.14.21264953

N/A

0DataRank · unranked

4 citations

Kareem A. Wahid, Lisanne V. van Dijk, Renjie He, Moamen Abobakr Abdelaal, Cem Dede +3 more

Quality Assurance Assessment of Intra-Acquisition Diffusion-Weighted and T2-Weighted Magnetic Resonance Imaging Registration and Contour Propagation for Head and Neck Cancer Radiotherapy

medRxiv(2021)10.1101/2021.12.13.21267735

N/A

0DataRank · unranked

1 citations

Kareem A. Wahid, Sara Ahmed, Vivian Salama, Cem Dede, Benjamin W. Edwards +14 more

Artificial Intelligence for Radiation Oncology Applications Using Public Datasets

Seminars in Radiation Oncology(2022)10.1016/j.semradonc.2022.06.009

N/A

0DataRank · unranked

29 citations

Enrico Glerean, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Mohamed A. Naser +4 more

Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer

Frontiers in Oncology(2022)10.3389/fonc.2022.930432

N/A

0DataRank · unranked

21 citations

Kareem A. Wahid, Aaron J. Grossberg, Brennan Olson, Rishab Jain, Dina El-Habashy +10 more

Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network

Clinical and Translational Radiation Oncology(2022)10.1016/j.ctro.2022.06.007

N/A

0DataRank · unranked

17 citations

Kareem A. Wahid, Lisanne V. van Dijk, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski +3 more

Quality assurance assessment of intra‐acquisition diffusion‐weighted and T2‐weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy

Medical Physics(2022)10.1002/mp.16128

N/A

0DataRank · unranked

6 citations

Kareem A. Wahid, Sara Ahmed, Vivian Salama, Cem Dede, Benjamin W. Edwards +14 more

Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy

Frontiers in Oncology(2022)10.3389/fonc.2022.975902

N/A

0DataRank · unranked

1 citations

Jiaofeng Xu, Dina El-Habashy, Yomna Khamis, Moamen Abobakr, Brigid A. McDonald +13 more

Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer

Scientific Data(2022)10.1038/s41597-022-01587-w

N/A

0DataRank · unranked

12 citations

Brennan Olson, Rishab Jain, Aaron J. Grossberg, Dina El-Habashy, Cem Dede +10 more

Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma

Lecture notes in computer science(2022)10.1007/978-3-030-98253-9_28

N/A

0DataRank · unranked

9 citations

Renjie He, Cem Dede, Abdallah Mohamed, Moamen Abobakr Abdelaal, Lisanne V. van Dijk +3 more

“E Pluribus Unum”: Prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology (C3RO) Crowdsourced Initiative for Multi-Observer Segmentation

medRxiv(2022)10.1101/2022.09.23.22280295

N/A

0DataRank · unranked

3 citations

Kareem A. Wahid, Benjamin E. Nelms, Renjie He, Mohamed A. Naser, Simon Duke +8 more

Deep-Learning-Based Generation of Synthetic High-Resolution MRI from Low-Resolution MRI for Use in Head and Neck Cancer Adaptive Radiotherapy

medRxiv(2022)10.1101/2022.06.19.22276611

N/A

0DataRank · unranked

0 citations

Jiaofeng Xu, Dina El-Habashy, Yomna Khamis, Moamen Abobakr, Brigid A. McDonald +13 more

Large-scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites: Interobserver expert/non-expert and multi-observer composite tumor and normal tissue delineation annotations from a prospective educational challenge

medRxiv(2022)10.1101/2022.10.05.22280672

N/A

0DataRank · unranked

0 citations

Diana Lin, Onur Sahin, Michael Cislo, Benjamin E. Nelms, Renjie He +9 more

Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study

Radiotherapy and Oncology(2023)10.1016/j.radonc.2023.109641

N/A

0DataRank · unranked

26 citations

Abdelrahman Abusaif, Renjie He, Kareem A. Wahid, Vivian Salama, Sara Youssef +9 more

E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation

Journal of Medical Imaging(2023)10.1117/1.jmi.10.s1.s11903

N/A

0DataRank · unranked

22 citations

Kareem A. Wahid, Benjamin E. Nelms, Renjie He, Mohamed A. Naser, Simon Duke +8 more

Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5 T MR-linear accelerator hybrid system: A prospective R-IDEAL stage 2a imaging biomarker characterization/pre-qualification study

Clinical and Translational Radiation Oncology(2023)10.1016/j.ctro.2023.100666

N/A

0DataRank · unranked

14 citations

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N/A

0DataRank · unranked

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Medical Physics(2023)10.1002/mp.16582

N/A

0DataRank · unranked

13 citations

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