Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
2023 · 126 citations
https://doi.org/10.1109/cvpr52729.2023.01839
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Daniel Jin
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Daniel Jin is an academic researcher from Loma Linda University Medical Center. The author has contributed to research in topics: Radiation Dose and Imaging & Radiomics and Machine Learning in Medical Imaging & Kidney Stones and Urolithiasis Treatments. The author has an h-index of 12, co-authored 32 publications.
ORCID: 0000-0002-9187-1279Papers by this author
worksMask R-CNN Models to Purify Medical Images of Training Sets
2021 · 2021 International Conference on e-Health and Bioengineering (EHB) · 3 citations
https://doi.org/10.1109/ehb52898.2021.9657741
Deep Learning for Automatic T-Staging Prediction of Laryngeal Cancer Using CT Scan and Radiology Report
2025 · International Journal of Radiation Oncology*Biology*Physics · 0 citations
https://doi.org/10.1016/j.ijrobp.2025.06.2295
Predicting Post-Traumatic Epilepsy with Automated Contusion Measurements using Acute CT Images: A Competing Risk Approach
2025 · medRxiv · 0 citations
https://doi.org/10.1101/2025.11.25.25341016
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