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cs.CV2026
AUCp: Pseudo-AUC for Inference Model Selection with Unlabeled Validation Data in Abnormality Detection
Md Mahfuzur Rahman Siddiquee, Fazle Rafsani, Jay Shah +4
Abnormality detection is a crucial yet challenging task in medical image analysis. Distinguishing abnormalities from normal data by learning to reconstruct normal-only data allevia…
cs.LG2026
PaReGTA: A Temporally Aware LLM-Based Patient Representation Framework for EHR Analytics
Kihyuk Yoon, Lingchao Mao, Catherine Chong +3
Temporal information in structured electronic health records (EHRs) is often lost in sparse one-hot or count-based representations, while sequence models can be costly and data-hun…