CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE

von Guo, Xiaoyuan
Veröffentlicht in MILLanD (Veranstaltung : 1. : 2022 : Singapur; Online) Medical image learning with limited and noisy data (2022)

DETECTING UNANTICIPATED ACTIONS DOWNSTREAM FROM CLINICAL DECISION SUPPORT: A DATA MINING APPROACH

von Li, Ron C.
Veröffentlicht in AMIA Annual Symposium (2019 : Washington, DC) American Medical Informatics Association Annual Symposium (AMIA 2019) ; Volume 3 of 3 (2020)

PREDICTION OF IMAGING OUTCOMES FROM ELECTRONIC HEALTH RECORDS: PULMONARY EMBOLISM CASE-STUDY

von Banerjee, Imon
Veröffentlicht in AMIA Annual Symposium (2019 : Washington, DC) American Medical Informatics Association Annual Symposium (AMIA 2019) ; Volume 3 of 3 (2020)

A FUSION NLP MODEL FOR THE INFERENCE OF STANDARDIZED THYROID NODULE MALIGNANCY SCORES FROM RADIOLOGY REPORT TEXT

von Santos, Thiago
Veröffentlicht in AMIA Annual Symposium (2021 : San Diego, Calif.; Online) American Medical Informatics Association Annual Symposium (AMIA 2021) ; Volume 2 of 3 (2022)

Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-centrered Outcomes

von Al-Garadi, Mohammed Ali
Veröffentlicht in AIME (18. : 2020 : Online) Artificial intelligence in medicine (2020)