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20192023
most citedA Novel Graph based Trajectory Predictor with Pseudo Oracle

72 citations · 236 across the 35 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.CV2023

HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image

Zhuchen Shao, Yang Chen, Hao Bian +3

Survival prediction based on whole slide images (WSIs) is a challenging task for patient-level multiple instance learning (MIL). Due to the vast amount of data for a patient (one o…

eess.IV2023★ 1 cited

JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition

Rongjun Ge, Yuting He, Cong Xia +3

Multiphase contrast-enhanced computed tomography (CECT) scan is clinically significant to demonstrate the anatomy at different phases. In practice, such a multiphase CECT scan inhe…

eess.SP2023

Channelized analog microwave short-time Fourier transform in the optical domain with improved measurement performance

Xiaowei Li, Taixia Shi, Dong Ma +1

In this article, analog microwave short-time Fourier transform (STFT) with improved measurement performance is implemented in the optical domain by employing stimulated Brillouin s…

stat.ME2023★ 1 cited

Matrix Autoregressive Model with Vector Time Series Covariates for Spatio-Temporal Data

Hu Sun, Zuofeng Shang, Yang Chen

We develop a new methodology for forecasting matrix-valued time series with historical matrix data and auxiliary vector time series data. We focus on a time series of matrices defi…

cs.CV2023★ 2 cited

Boosting Verified Training for Robust Image Classifications via Abstraction

Zhaodi Zhang, Zhiyi Xue, Yang Chen +4

This paper proposes a novel, abstraction-based, certified training method for robust image classifiers. Via abstraction, all perturbed images are mapped into intervals before feedi…

q-bio.QM2023★ 1 cited

A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation

Yang Chen, Zhenyu Yang, Jingtong Zhao +4

We developed a deep ensemble learning model with a radiomics spatial encoding execution for improved glioma segmentation accuracy using multi-parametric MRI (mp-MRI). This model wa…