research
∙
07/18/2023
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Multiple Instance Learning (MIL) has been widely applied to medical imag...
share
research
∙
04/30/2023
The ART of Transfer Learning: An Adaptive and Robust Pipeline
Transfer learning is an essential tool for improving the performance of ...
research
∙
01/20/2023
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels
Propose: To present DeepCOVID-Fuse, a deep learning fusion model to pred...
research
∙
07/26/2022
Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data?
X-ray fluorescence spectroscopy (XRF) plays an important role for elemen...
research
∙
01/22/2022
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes
Generative Adversarial Networks (GANs) have shown promise in augmenting ...
research
∙
05/10/2021
Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension
This paper develops new tools to quantify uncertainty in optimal decisio...
research
∙
08/14/2020
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
We propose a mesh-based technique to aid in the classification of Alzhei...
research
∙
11/25/2019
Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes
Recently, there has been growing interest in estimating optimal treatmen...
research
∙
08/10/2019
A Survey of Tuning Parameter Selection for High-dimensional Regression
Penalized (or regularized) regression, as represented by Lasso and its v...
research
∙
10/16/2018
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification
Effective detection of arrhythmia is an important task in the remote mon...
research
∙
09/13/2018