Xiajun Jiang

MedicineComputer SciencePhysics 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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences”.

Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences

IEEE Transactions on Medical Imaging(2022)10.1109/tmi.2022.3218170

N/A

0DataRank · unranked

13 citations

Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson Good, Rob MacLeod +2 more

Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI

Computing in cardiology(2022)10.22489/cinc.2022.425

N/A

0DataRank · unranked

2 citations

Jess Tate, Jake Bergquist, Akil Narayan, Rob MacLeod, Linwei Wang" +1 more

Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3377094

N/A

0DataRank · unranked

10 citations

Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank +4 more

Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework

arXiv (Cornell University)(2024)10.48550/arxiv.2403.08194

N/A

0DataRank · unranked

0 citations

Sumeet Vadhavkar, Xiajun Jiang, Ryan Missel, Huafeng Liu, Linwei Wang +1 more