20 citations · 35 across the 12 of their papers we have counts for
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cs.LG2022★ 1 cited
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation
Juan C. Quiroz, David Brieger, Louisa Jorm +3
Objective: To develop prognostic survival models for predicting adverse outcomes after catheter ablation treatment for non-valvular atrial fibrillation (AF). Methods: We used a lin…
cs.LG2021★ 2 cited
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis
Jessie Liu, Blanca Gallego, Sebastiano Barbieri
Deep neural networks are increasingly being used for computer-aided diagnosis, but erroneous diagnoses can be extremely costly for patients. We propose a learning to defer with unc…