Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
2022 · Frontiers in Oncology · 161 citations
https://doi.org/10.3389/fonc.2022.773840
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Wenjun Tan
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Wenjun Tan is an academic researcher from Institute of High Energy Physics. The author has contributed to research in topics: Medical Image Segmentation Techniques & Radiomics and Machine Learning in Medical Imaging & Gamma-ray bursts and supernovae. The author has an h-index of 23, co-authored 140 publications.
ORCID: 0000-0002-3840-9528Papers by this author
worksAn Approach to Extraction Midsagittal Plane of Skull From Brain CT Images for Oral and Maxillofacial Surgery
2019 · IEEE Access · 21 citations
https://doi.org/10.1109/access.2019.2920862
A set of distinctive properties ruling the prompt emission of GRB 230307A and other long γ-ray bursts from compact object mergers
2025 · Journal of High Energy Astrophysics · 1 citations
https://doi.org/10.1016/j.jheap.2025.100456
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