🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Michael Dohopolski

Southwestern Medical Center

ORCID: 0000-0002-9043-1490

Also affiliated with Southwestern Medical Center, The University of Texas Southwestern Medical Center

Physics and AstronomyMedicine

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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Towards reliable head and neck cancers locoregional recurrence prediction using delta‐radiomics and learning with rejection option”.

Towards reliable head and neck cancers locoregional recurrence prediction using delta‐radiomics and learning with rejection option

Medical Physics(2022)10.1002/mp.16132
N/A
0DataRank · unranked
24 citations

Michael Dohopolski, Qiongwen Zhang, David J. Sher, Jing Wang, Kai Wang

ARMO: automated and reliable multi-objective model for lymph node metastasis prediction in head and neck cancer

Physics in Medicine and Biology(2023)10.1088/1361-6560/acca5b
N/A
0DataRank · unranked
2 citations

Liyuan Chen, Michael Dohopolski, David J. Sher, Jing Wang, Zhiguo Zhou

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

Progressive auto-segmentation for cone-beam computed tomography-based online adaptive radiotherapy

Physics and Imaging in Radiation Oncology(2024)10.1016/j.phro.2024.100610
N/A
0DataRank · unranked
5 citations

Xiao Liang, Boyu Meng, Michael Dohopolski, Choi ByongSu, Bin Cai +5 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

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

TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy

PubMed(2024)10.48550/arxiv.2405.05674
N/A
0DataRank · unranked
0 citations

Kai Wang, Michael Dohopolski, Howard E. Morgan, David J. Sher, Jing Wang +1 more

Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework

Machine Learning Science and Technology(2025)10.1088/2632-2153/adb371
N/A
0DataRank · unranked
1 citations

Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang +4 more

Prior guided deep difference meta-learner for fast adaptation to stylized segmentation

Machine Learning Science and Technology(2025)10.1088/2632-2153/adc970
N/A
0DataRank · unranked
0 citations

Anjali Balagopal, Ti Bai, Michael Dohopolski, Mu‐Han Lin, Steve Jiang +1 more