activity
20232026
most citedTensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

6 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

An Attention-Based Denoising Model for Diffusion Weighted Imaging

Prithviraj Verma, Pawan Kumar, Chandan Deshani +1

Diffusion-weighted imaging (DWI) is used for whole-body cancer screening, but it typically requires a long acquisition time. When the scan time is reduced, the image quality often…

eess.SP2025

Multimodal Latent Fusion of ECG Leads for Early Assessment of Pulmonary Hypertension

Mohammod N. I. Suvon, Shuo Zhou, Prasun C. Tripathi +7

Recent advancements in early assessment of pulmonary hypertension (PH) primarily focus on applying machine learning methods to centralized diagnostic modalities, such as 12-lead el…

cs.CV2024

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…

cs.LG2024

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…

cs.LG2023★ 6 cited

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…