X. Allen Li

Closest collaborators

The 24 strongest of 24 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Bradley A. Erickson · 10 shared papers, 2012–2023 · strength 0.81
   • Paper Predicting Treatment Response From Extracellular Volume Fraction for Chemoradiation Therapy of Pancreatic Cancer. DOI 10.1016/j.ijrobp.2022.09.084↗
   • Paper Initial clinical experience of Stereotactic Body Radiation Therapy (SBRT) for liver metastases, primary liver malignanc… DOI 10.1371/journal.pone.0236570↗
   • Paper PET-based Treatment Response Assessment for Neoadjuvant Chemoradiation in Pancreatic Adenocarcinoma: An Exploratory Stu… DOI 10.1016/j.tranon.2018.06.011↗
2. William Adrian Hall · 7 shared papers, 2017–2020 · strength 0.66
   • Paper Initial clinical experience of Stereotactic Body Radiation Therapy (SBRT) for liver metastases, primary liver malignanc… DOI 10.1371/journal.pone.0236570↗
   • Paper A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer. DOI 10.1038/s41698-019-0096-z↗
   • Paper Improving Treatment Response Prediction for Chemoradiation Therapy of Pancreatic Cancer Using a Combination of Delta-Ra… DOI 10.3389/fonc.2019.01464↗
3. E.S. Paulson · 5 shared papers, 2014–2023 · strength 0.54
   • Paper Predicting Treatment Response From Extracellular Volume Fraction for Chemoradiation Therapy of Pancreatic Cancer. DOI 10.1016/j.ijrobp.2022.09.084↗
   • Paper Initial clinical experience of Stereotactic Body Radiation Therapy (SBRT) for liver metastases, primary liver malignanc… DOI 10.1371/journal.pone.0236570↗
   • Paper A preferred patient decubitus positioning for magnetic resonance image guided online adaptive radiation therapy of panc… DOI 10.1016/j.phro.2019.11.001↗
4. Beth E. Erickson · 3 shared papers, 2019 · strength 0.31
   • Paper A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer. DOI 10.1038/s41698-019-0096-z↗
   • Paper Improving Treatment Response Prediction for Chemoradiation Therapy of Pancreatic Cancer Using a Combination of Delta-Ra… DOI 10.3389/fonc.2019.01464↗
   • Paper A preferred patient decubitus positioning for magnetic resonance image guided online adaptive radiation therapy of panc… DOI 10.1016/j.phro.2019.11.001↗
5. George Noid · 2 shared papers, 2016–2023 · strength 0.26
   • Paper Predicting Treatment Response From Extracellular Volume Fraction for Chemoradiation Therapy of Pancreatic Cancer. DOI 10.1016/j.ijrobp.2022.09.084↗
   • Paper Preliminary results on the feasibility of using ultrasound to monitor intrafractional motion during radiation therapy f… DOI 10.1118/1.4960004↗
6. A. Tai · 3 shared papers, 2014–2018 · strength 0.24
   • Paper PET-based Treatment Response Assessment for Neoadjuvant Chemoradiation in Pancreatic Adenocarcinoma: An Exploratory Stu… DOI 10.1016/j.tranon.2018.06.011↗
   • Paper Correlation of ADC With Pathological Treatment Response for Radiation Therapy of Pancreatic Cancer. DOI 10.1016/j.tranon.2018.01.018↗
   • Paper Radiation dose responses for chemoradiation therapy of pancreatic cancer: an analysis of compiled clinical data using b… DOI 10.1016/j.prro.2013.01.005↗
7. Entesar Zawam Dalah · 3 shared papers, 2014–2018 · strength 0.23
   • Paper PET-based Treatment Response Assessment for Neoadjuvant Chemoradiation in Pancreatic Adenocarcinoma: An Exploratory Stu… DOI 10.1016/j.tranon.2018.06.011↗
   • Paper Correlation of ADC With Pathological Treatment Response for Radiation Therapy of Pancreatic Cancer. DOI 10.1016/j.tranon.2018.01.018↗
   • Paper Variability of target and normal structure delineation using multimodality imaging for radiation therapy of pancreatic … DOI 10.1016/j.ijrobp.2014.02.035↗
8. Haidy Gerges Nasief · 2 shared papers, 2019 · strength 0.21
   • Paper A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer. DOI 10.1038/s41698-019-0096-z↗
   • Paper Improving Treatment Response Prediction for Chemoradiation Therapy of Pancreatic Cancer Using a Combination of Delta-Ra… DOI 10.3389/fonc.2019.01464↗
9. Ergun E. Ahunbay · 2 shared papers, 2013–2020 · strength 0.16
   • Paper Initial clinical experience of Stereotactic Body Radiation Therapy (SBRT) for liver metastases, primary liver malignanc… DOI 10.1371/journal.pone.0236570↗
   • Paper Comparison of various online strategies to account for interfractional variations for pancreatic cancer. DOI 10.1016/j.ijrobp.2013.04.032↗
10. Dwight Earl Heron · 1 shared paper, 2021 · strength 0.12
    • Paper Maximizing Tumor Control and Limiting Complications With Stereotactic Body Radiation Therapy for Pancreatic Cancer. DOI 10.1016/j.ijrobp.2020.11.017↗
11. Simon Shek-Man Lo · 1 shared paper, 2021 · strength 0.12
    • Paper Maximizing Tumor Control and Limiting Complications With Stereotactic Body Radiation Therapy for Pancreatic Cancer. DOI 10.1016/j.ijrobp.2020.11.017↗
12. Karyn A. Goodman · 1 shared paper, 2021 · strength 0.12
    • Paper Maximizing Tumor Control and Limiting Complications With Stereotactic Body Radiation Therapy for Pancreatic Cancer. DOI 10.1016/j.ijrobp.2020.11.017↗
13. Manisha Palta · 1 shared paper, 2021 · strength 0.12
    • Paper Maximizing Tumor Control and Limiting Complications With Stereotactic Body Radiation Therapy for Pancreatic Cancer. DOI 10.1016/j.ijrobp.2020.11.017↗
14. Joseph M. Herman · 1 shared paper, 2021 · strength 0.12
    • Paper Maximizing Tumor Control and Limiting Complications With Stereotactic Body Radiation Therapy for Pancreatic Cancer. DOI 10.1016/j.ijrobp.2020.11.017↗
15. Shalini Moningi · 1 shared paper, 2021 · strength 0.12
    • Paper Maximizing Tumor Control and Limiting Complications With Stereotactic Body Radiation Therapy for Pancreatic Cancer. DOI 10.1016/j.ijrobp.2020.11.017↗
16. Anand Mahadevan · 1 shared paper, 2021 · strength 0.12
    • Paper Maximizing Tumor Control and Limiting Complications With Stereotactic Body Radiation Therapy for Pancreatic Cancer. DOI 10.1016/j.ijrobp.2020.11.017↗
17. Amol Kumar Narang · 1 shared paper, 2021 · strength 0.12
    • Paper Maximizing Tumor Control and Limiting Complications With Stereotactic Body Radiation Therapy for Pancreatic Cancer. DOI 10.1016/j.ijrobp.2020.11.017↗
18. I Moraru · 2 shared papers, 2014 · strength 0.12
    • Paper Radiation dose responses for chemoradiation therapy of pancreatic cancer: an analysis of compiled clinical data using b… DOI 10.1016/j.prro.2013.01.005↗
    • Paper Variability of target and normal structure delineation using multimodality imaging for radiation therapy of pancreatic … DOI 10.1016/j.ijrobp.2014.02.035↗
19. Liang Wang · 1 shared paper, 2019 · strength 0.11
    • Paper Improving Treatment Response Prediction for Chemoradiation Therapy of Pancreatic Cancer Using a Combination of Delta-Ra… DOI 10.3389/fonc.2019.01464↗
20. Susan Tsai · 1 shared paper, 2019 · strength 0.11
    • Paper A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer. DOI 10.1038/s41698-019-0096-z↗
21. Yazheng Chen · 1 shared paper, 2019 · strength 0.10
    • Paper A preferred patient decubitus positioning for magnetic resonance image guided online adaptive radiation therapy of panc… DOI 10.1016/j.phro.2019.11.001↗
22. Xiaojian Chen · 1 shared paper, 2017 · strength 0.06
    • Paper Assessment of treatment response during chemoradiation therapy for pancreatic cancer based on quantitative radiomic ana… DOI 10.1371/journal.pone.0178961↗
23. Eenas A. Omari · 1 shared paper, 2016 · strength 0.06
    • Paper Preliminary results on the feasibility of using ultrasound to monitor intrafractional motion during radiation therapy f… DOI 10.1118/1.4960004↗
24. Feng Liu · 1 shared paper, 2012 · strength 0.04
    • Paper Characterization and management of interfractional anatomic changes for pancreatic cancer radiotherapy. DOI 10.1016/j.ijrobp.2011.12.073↗

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.