research
∙
04/06/2023
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification
The accuracy of predictive models for solitary pulmonary nodule (SPN) di...
share
research
∙
10/27/2022
Sample-Specific Root Causal Inference with Latent Variables
Root causal analysis seeks to identify the set of initial perturbations ...
research
∙
09/04/2022
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
Features learned from single radiologic images are unable to provide inf...
research
∙
06/17/2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Although deep learning prediction models have been successful in the dis...
research
∙
05/25/2022
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model
Complex diseases are caused by a multitude of factors that may differ be...
research
∙
05/23/2022
Identifying Patient-Specific Root Causes of Disease
Complex diseases are caused by a multitude of factors that may differ be...
research
∙
03/04/2022
Characterizing Renal Structures with 3D Block Aggregate Transformers
Efficiently quantifying renal structures can provide distinct spatial co...
research
∙
11/25/2021
Generalizing Clinical Trials with Convex Hulls
Randomized clinical trials eliminate confounding but impose strict exclu...
research
∙
07/25/2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
Data from multi-modality provide complementary information in clinical p...
research
∙
05/02/2021
Synthesized Difference in Differences
Randomized clinical trials (RCTs) eliminate confounding but impose stric...
research
∙
03/17/2020
The Value of Nullspace Tuning Using Partial Label Information
In semi-supervised learning, information from unlabeled examples is used...
research
∙
07/25/2019
Computational Phenotype Discovery via Probabilistic Independence
Computational Phenotype Discovery research has taken various pragmatic a...
research
∙
06/23/2019
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations
Manually tracing regions of interest (ROIs) within the liver is the de f...
research
∙
02/12/2018
Embedding Complexity In the Data Representation Instead of In the Model: A Case Study Using Heterogeneous Medical Data
Electronic Health Records have become popular sources of data for second...
research
∙
02/19/2014