7 papers
AI-enabled cardiac shape reconstruction from routine magnetic resonance imaging
Tanmay Mukherjee, Neil Gautam, Nikhil Kadivar +10
Computational models of cardiac structure and function are increasingly central to the development of subject-specific cardiac digital twins, enabling improved characterization of…
Human-Guided Feature Selection for Accurate Cardiomyocyte Dysfunction Classification
Rana Raza Mehdi, Sukanya Sahoo, Sunder Neelakantan +4
Early identification of cardiomyocyte dysfunction is a critical challenge for the prognosis of diastolic heart failure (DHF) exhibiting impaired left ventricular relaxation (ILVR).…
An in-silico lung phantom to assess the performance of pulmonary artery segmentation using angiogram
Sunder Neelakantan, Tanmay Mukherjee, Emilio A. Mendiola +2
Pulmonary hypertension (PH) can lead to significant vascular remodeling, resulting in altered pulmonary blood flow. Estimating the patient-specific contributions of each remodeling…
Synthetic ultrasound images to benchmark echocardiography-based biomechanics
Tanmay Mukherjee, Sunder Neelakantan, Kyle Myers +2
Brightness mode (B-mode) ultrasound is a common imaging modality in the clinical assessment of several cardiovascular diseases. The utility of ultrasound-based functional indices s…
Does EDPVR Represent Myocardial Tissue Stiffness? Toward a Better Definition
Rana Raza Mehdi, Emilio A. Mendiola, Vahid Naeini +2
Accurate assessment of myocardial tissue stiffness is pivotal for the diagnosis and prognosis of heart diseases. Left ventricular diastolic stiffness () obtained from the end-di…
Physics-informed motion registration of lung parenchyma across static CT images
Sunder Neelakantan, Tanmay Mukherjee, Kyle J. Myers +2
Lung injuries, such as ventilator-induced lung injury and radiation-induced lung injury, can lead to heterogeneous alterations in the biomechanical behavior of the lungs. While ima…