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10/11/2022
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy
In the past decade, deep learning (DL)-based artificial intelligence (AI...
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09/13/2022
Sparse Hanson-Wright Inequality for a Bilinear Form of Sub-Gaussian Variables
In this paper, we derive a new version of Hanson-Wright inequality for a...
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08/09/2022
Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences
Early detection of cancers has been much explored due to its paramount i...
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10/23/2020
Empirical Likelihood Inference for Area under the ROC Curve using Ranked Set Samples
The area under a receiver operating characteristic curve (AUC) is a usef...
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06/08/2020
Estimating High-dimensional Covariance and Precision Matrices under General Missing Dependence
A sample covariance matrix S of completely observed data is the key stat...
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03/02/2020
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry
In autonomous driving, monocular sequences contain lots of information. ...
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11/18/2019
Hierarchical Optimization Time Integration for CFL-rate MPM Stepping
We propose Hierarchical Optimization Time Integration (HOT) for efficien...
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10/28/2019
RCRnorm: An integrated system of random-coefficient hierarchical regression models for normalizing NanoString nCounter data
Formalin-fixed paraffin-embedded (FFPE) samples have great potential for...
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02/22/2018