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Found 7 papers, 3 papers with code
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
Insufficiently precise diagnosis of clinical disease is likely responsible for many treatment failures, even for common conditions and treatments.
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation
In this study, we adopt an unpaired image translation approach to investigate harmonization between and across reconstruction kernels from different manufacturers by constructing a multipath cycle generative adversarial network (GAN).
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior
Anatomically consistent field-of-view (FOV) completion to recover truncated body sections has important applications in quantitative analyses of computed tomography (CT) with limited FOV.
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification
In this work, we propose a transformer-based multimodal strategy to integrate repeat imaging with longitudinal clinical signatures from routinely collected EHRs for SPN classification.
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
In cross-validation on screening chest CTs from the NLST, our methods (0. 785 and 0. 786 AUC respectively) significantly outperform a cross-sectional approach (0. 734 AUC) and match the discriminative performance of the leading longitudinal medical imaging algorithm (0. 779 AUC) on benign versus malignant classification.
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective
We evaluate the validity of the proposed method in automatic BC assessment using lung screening CT with limited FOV.
A Recurrent Neural Network Approach to Roll Estimation for Needle Steering
Steerable needles are a promising technology for delivering targeted therapies in the body in a minimally-invasive fashion, as they can curve around anatomical obstacles and hone in on anatomical targets.
