24 citations · 30 across the 3 of their papers we have counts for
4 papers
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment
Prasun C Tripathi, Sina Tabakhi, Mohammod N I Suvon +5
Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered…
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection
Mohammod N. I. Suvon, Prasun C. Tripathi, Wenrui Fan +7
Recent advancements in non-invasive detection of cardiac hemodynamic instability (CHDI) primarily focus on applying machine learning techniques to a single data modality, e.g. card…
Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI
Prasun C. Tripathi, Mohammod N. I. Suvon, Lawrence Schobs +4
Heart failure is a serious and life-threatening condition that can lead to elevated pressure in the left ventricle. Pulmonary Arterial Wedge Pressure (PAWP) is an important surroga…
Multimodal Learning for Multi-Omics: A Survey
Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian +1
With advanced imaging, sequencing, and profiling technologies, multiple omics data become increasingly available and hold promises for many healthcare applications such as cancer d…