6 citations · 8 across the 5 of their papers we have counts for
6 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…
VideoLightFormer: Lightweight Action Recognition using Transformers
Raivo Koot, Haiping Lu
Efficient video action recognition remains a challenging problem. One large model after another takes the place of the state-of-the-art on the Kinetics dataset, but real-world effi…
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
Haiping Lu, Xianyuan Liu, Robert Turner +5
Machine learning is a general-purpose technology holding promises for many interdisciplinary research problems. However, significant barriers exist in crossing disciplinary boundar…
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition
Xianyuan Liu, Raivo Koot, Shuo Zhou +2
This report describes the technical details of our submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition. The EPIC-Kitchens dataset i…