Pith. sign in

Title resolution pending

Model Hyperparameters Values Image backbones SwinUNETR learning rate 10−4, 10−5, 10−6 dropout prob 0 · 2025

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
browse 1 citing papers

Title metadata for this work has not finished resolving. The hub is built from the citation graph; the title resolver retries DOI and OpenAlex on its next pass.

fields

cs.CV 1

years

2024 1

verdicts

CONDITIONAL 1

representative citing papers

Time-to-Event Pretraining for 3D Medical Imaging

cs.CV · 2024-11-14 · conditional · novelty 6.0

Pretraining on time-to-event labels from longitudinal EHRs improves 3D CT model predictions of future outcomes by up to 31.6% relative AUROC, while preserving diagnostic accuracy.

citing papers explorer

Showing 1 of 1 citing paper.

  • Time-to-Event Pretraining for 3D Medical Imaging cs.CV · 2024-11-14 · conditional · none · ref 8

    Pretraining on time-to-event labels from longitudinal EHRs improves 3D CT model predictions of future outcomes by up to 31.6% relative AUROC, while preserving diagnostic accuracy.