YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation

no code implementations • 24 Oct 2023 • Tom Liu, Hui Lin, Aggelos K. Katsaggelos, Adrienne Kline

Coronary angiography remains the gold standard for diagnosis of coronary artery disease, the most common cause of death worldwide.

Anatomy Coronary Artery Segmentation +2

StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography

1 code implementation • 23 Oct 2023 • Hui Lin, Tom Liu, Aggelos Katsaggelos, Adrienne Kline

Coronary angiography continues to serve as the primary method for diagnosing coronary artery disease (CAD), which is the leading global cause of mortality.

Stenosis Segmentation

Multi-Factor Inception: What to Do with All of These Features?

no code implementations • 25 Jul 2023 • Tom Liu, Stefan Zohren

In this paper, we introduce Multi-Factor Inception Networks (MFIN), an end-to-end framework for systematic trading with multiple assets and factors.

Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies

no code implementations • 7 Jul 2023 • Tom Liu, Stephen Roberts, Stefan Zohren

We introduce Deep Inception Networks (DINs), a family of Deep Learning models that provide a general framework for end-to-end systematic trading strategies.

Time Series Variable Selection

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data

no code implementations • NeurIPS 2011 • Vijay Mahadevan, Chi W. Wong, Jose C. Pereira, Tom Liu, Nuno Vasconcelos, Lawrence K. Saul

To perform this visualization, we augment MCU with an additional step for metric learning in the high dimensional voxel space.

Cross-Modal Retrieval Dimensionality Reduction +3