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eess.IV2025
Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping
Hongxu Yang, Najib Akram Aboobacker, Xiaomeng Dong +3
X-ray imaging is the most widely used medical imaging modality. However, in the common practice, inconsistency in the initial presentation of X-ray images is a common complaint by…
eess.IV2020
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19
Tao Tan, Bipul Das, Ravi Soni +13
The COVID-19 pandemic continues to spread and impact the well-being of the global population. The front-line modalities including computed tomography (CT) and X-ray play an importa…