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Prahlad G. Menon
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2020 – today
- 2023
- [c24]B. S. Utkars Jain, Prahlad G. Menon:
Classification of Abnormal Cardiac Rhythm from Brief Single-Lead ECG Recordings using Embeddings from Transformer Encoder Models. BIBM 2023: 4899-4901 - 2022
- [c23]Anish Salvi, Raj Shah, Luke Higgins, Prahlad G. Menon:
Vision Transformers for AI-Driven Classification of Peripheral Artery Disease from Maximum Intensity Projections of Runoff CT Angiograms. BIBM 2022: 3870-3872 - [c22]Anish Salvi, Ender Finol, Prahlad G. Menon:
3D Segmentation of Abdominal Aortic Aneurysm Walls from CT Angiograms. BIBM 2022: 3873-3875 - [c21]Anish Salvi, Ender Finol, Prahlad G. Menon:
Image transformers with regional attention for classification of aneurysm rupture risk without explicit segmentation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - 2021
- [j2]Deanna C. E. Sinex
, Shaniel T. Bowen
, Ahmed Kashkoush
, Arianna Rosemond
, Danielle Carter, Prahlad G. Menon
, Pamela A. Moalli, Steven D. Abramowitch:
The establishment of a 3D anatomical coordinate system for defining vaginal axis and spatial position. Comput. Methods Programs Biomed. 208: 106175 (2021) - [c20]Xinyu Ivy Zhang, Prahlad G. Menon:
Length of Stay in the Neonatal ICU is Predictable using Heart Rate: An Opportunity for Optimizing Managed Care. EMBC 2021: 1601-1604 - [c19]Sage J. Betko, Rishabh S. Shetty, Jeffrey J. Morgan, Prahlad G. Menon:
Modeling Cases and Deaths per Million using Daily-Aggregated Facebook COVID-19 Symptom Survey Data. EMBC 2021: 1627-1630 - [c18]Vikas Rana, Teddy Le Nguyen, Veera Raghava, Prahlad G. Menon:
Intelligent patient monitoring for proactive alerting of key personnel in intensive care: A single-center study. EMBC 2021: 2083-2086 - [c17]Anish Salvi, Ender Finol, Prahlad G. Menon:
Convolutional Neural Network based Segmentation of Abdominal Aortic Aneurysms. EMBC 2021: 2629-2632
2010 – 2019
- 2018
- [c16]Soroosh Sanatkhani
, Prahlad G. Menon:
Generative statistical modeling of left atrial appendage appearance to substantiate clinical paradigms for stroke risk stratification. Medical Imaging: Image Processing 2018: 105742L - [c15]Soroosh Sanatkhani
, Michael Oladosu, Karandeep Chera, Sotirios Nedios, Prahlad G. Menon:
Relating regional characteristics of left atrial shape to presence of scar in patients with atrial fibrillation. Medical Imaging: Image Processing 2018: 105742N - 2017
- [c14]Soroosh Sanatkhani
, Prahlad G. Menon:
Relating Atrial Appendage Flow Stasis Risk from Computational Fluid Dynamics to Imaging Based Appearance Paradigms for Cardioembolic Risk. BIVPCS/POCUS@MICCAI 2017: 86-93 - [c13]Soroosh Sanatkhani
, Sanjeev G. Shroff, Prahlad G. Menon:
Personalized design and virtual evaluation of physician-modified stent grafts for juxta-renal abdominal aortic aneurysms. Medical Imaging: Image Processing 2017: 101332C - 2016
- [j1]Yang Gao, Yongjie Jessica Zhang
, Prahlad G. Menon
:
3D shape comparison of cardiac geometries using a Laplace spectral-shape-matching approach. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 4(2): 86-97 (2016) - [c12]Prahlad G. Menon
, Sotirios Nedios
, Gerhard Hindricks, Andreas Bollmann:
Investigating relationships between left atrial volume, symmetry, and sphericity. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97882J - [c11]Yao-Xiu Hu, Prahlad G. Menon
:
A neural network approach to lung nodule segmentation. Medical Imaging: Image Processing 2016: 97842O - [c10]Prahlad G. Menon
, Elizabeth Rochon, Beth L. Roman:
In-vivo cell tracking to quantify endothelial cell migration during zebrafish angiogenesis. Medical Imaging: Image Processing 2016: 97844A - 2015
- [c9]Prahlad G. Menon
, Haifa Hong
:
Evaluating MRI based vascular wall motion as a biomarker of Fontan hemodynamic performance. Medical Imaging: Image Processing 2015: 94132Q - 2014
- [c8]Prahlad G. Menon
, Srilakshmi M. Adhyapak, V. Rao Parachuri:
Analysis of Cardiac MRI Based Regional Timing of Left Ventricular Mechanical Contraction as a Biomarker for Electrical Dyssynchrony in Heart-Failure Patients. CompIMAGE 2014: 48-56 - [c7]Prahlad G. Menon
, Jacobus H. Müller
:
Characterization of a Novel Imaging-Based Metric of Patellofemoral Separation Using Computational Modeling. CompIMAGE 2014: 188-203 - [c6]Dongzhen Piao, Prahlad G. Menon
, Ole J. Mengshoel:
Computing Probabilistic Optical Flow Using Markov Random Fields. CompIMAGE 2014: 241-247 - [c5]Stephen Kruzick, Ole J. Mengshoel, Prahlad G. Menon
:
Detection of Myocardial Perfusion Defects Using First Pass Perfusion Cardiac MRI Data. CompIMAGE 2014: 248-254 - [c4]Vanathi Gopalakrishnan, Prahlad G. Menon, Shobhit Madan:
A novel framework to enhance scientific knowledge of cardiovascular MRI biomarkers and their application to pediatric cardiomyopathy classification. IWBBIO 2014: 798-809 - [c3]Prahlad G. Menon
, Lailonny Morris, Mara Staines, João A. C. Lima, Daniel C. Lee
, Vanathi Gopalakrishnan
:
Novel MRI-derived quantitative biomarker for cardiac function applied to classifying ischemic cardiomyopathy within a Bayesian rule learning framework. Medical Imaging: Image Processing 2014: 90341L - 2013
- [c2]Priti G. Albal, Tyson A. Montidoro, Onur Dur, Prahlad G. Menon
:
Patient-Specific Hemodynamic Evaluation of an Aortic Coarctation under Rest and Stress Conditions. STACOM 2013: 83-93 - 2012
- [c1]Prahlad G. Menon
, Kerem Pekkan
, Shobhit Madan:
Quantitative Hemodynamic Evaluation in Children with Coarctation of Aorta: Phase Contrast Cardiovascular MRI versus Computational Fluid Dynamics. STACOM 2012: 9-16
Coauthor Index
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