Search Results for author: Shuo Zhou

Found 16 papers, 5 papers with code

Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network

1 code implementation8 Apr 2024 Shuo Zhou, Junhao Luo, Yaya Jiang, Haolin Wang, Haiping Lu, Gaolang Gong

Here, we formulate modeling sex differences in lateralization of functional networks as a dual-classification problem, consisting of first-order classification for left vs. right functional networks and second-order classification for male vs. female models.

Classification Specificity

Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

no code implementations20 Mar 2024 Mohammod N. I. Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu

In response to these limitations, we propose a novel multimodal variational autoencoder ($\text{CardioVAE}_\text{X, G}$) to integrate low-cost chest X-ray (CXR) and electrocardiogram (ECG) modalities with pre-training on a large unlabeled dataset.

MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment

no code implementations15 Mar 2024 Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew Swift, Chen Chen, Haiping Lu

Moreover, a novel vision-language Prototypical Contr-astive Learning (ProtoCL) method is adopted in MeDSLIP to enhance the alignment within the anatomical and pathological streams.

Anatomy Contrastive Learning +1

Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

1 code implementation14 Mar 2023 Prasun C. Tripathi, Mohammod N. I. Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu

In this work, we develop a tensor learning-based pipeline for identifying PAWP from multimodal cardiac Magnetic Resonance Imaging (MRI).

Channel-Temporal Attention for First-Person Video Domain Adaptation

no code implementations17 Aug 2021 Xianyuan Liu, Shuo Zhou, Tao Lei, Haiping Lu

Finally, we propose a Channel-Temporal Attention Network (CTAN) to integrate these blocks into existing architectures.

Action Recognition Unsupervised Domain Adaptation

Domain Independent SVM for Transfer Learning in Brain Decoding

no code implementations26 Mar 2019 Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu

We use public data to construct 13 transfer learning tasks in brain decoding, including three interesting multi-source transfer tasks.

Brain Decoding Transfer Learning

Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI

no code implementations4 Dec 2018 Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu

While functional magnetic resonance imaging (fMRI) is important for healthcare/neuroscience applications, it is challenging to classify or interpret due to its multi-dimensional structure, high dimensionality, and small number of samples available.


Providing Effective Real-time Feedback in Simulation-based Surgical Training

no code implementations30 Jun 2017 Xingjun Ma, Sudanthi Wijewickrema, Yun Zhou, Shuo Zhou, Stephen O'Leary, James Bailey

Experimental results in a temporal bone surgery simulation show that the proposed method is able to extract highly effective feedback at a high level of efficiency.

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training

no code implementations4 Mar 2017 Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen O'Leary, James Bailey

It is the aim of this paper to develop an efficient and effective feedback generation method for the provision of real-time feedback in SBT.

Cannot find the paper you are looking for? You can Submit a new open access paper.