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Daniel B. Ennis
Person information
- affiliation: Stanford University, Department of Radiology, CA, USA
- affiliation (former): University of California, Los Angeles, Department of Radiological Sciences, CA, USA
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2020 – today
- 2024
- [j11]Fanwei Kong
, Sascha Stocker, Perry S. Choi
SDF4CHD: Generative modeling of cardiac anatomies with congenital heart defects. Medical Image Anal. 97: 103293 (2024) - [c28]Mohammad Naqizadeh Jahromi, Augusto Delavald Marques, Mehlil Ahmed, Zhan-Qiu Liu, Ariel J. Hannum, Daniel B. Ennis, Luigi E. Perotti, Dazhong Wu:
An nnU-Net Model to Enhance Segmentation of Cardiac Cine DENSE-MRI Using Phase Information. ICHI 2024: 670-673 - 2023
- [c27]Alexander J. Wilson
Ventricular Helix Angle Trends and Long-Range Connectivity. FIMH 2023: 64-73 - [c26]Hugo Barbaroux, Michael Loecher, Karl P. Kunze, Radhouène Neji, Daniel B. Ennis, Sonia Nielles-Vallespin, Andrew D. Scott, Alistair A. Young
Generating Short-Axis DENSE Images from 4D XCAT Phantoms: A Proof-of-Concept Study. FIMH 2023: 412-421 - [c25]Priya J. Nair
Hemodynamics in Patients with Aortic Coarctation: A Comparison of in vivo 4D-Flow MRI and FSI Simulation. FIMH 2023: 515-523 - [c24]Fikunwa O. Kolawole
Evaluating Passive Myocardial Stiffness Using in vivo cine, cDTI, and Tagged MRI. FIMH 2023: 527-536 - [i1]Fanwei Kong, Sascha Stocker, Perry S. Choi, Michael R. Ma, Daniel B. Ennis, Alison L. Marsden:
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects. CoRR abs/2311.00332 (2023) - 2022
- [c23]Tiffany Baptiste, Angela W. C. Lee, Marina Strocchi, Charles Sillett, Daniel B. Ennis, Ulrike Haberland, Ronak Rajani, C. Aldo Rinaldi
The Influence of Left Atrial Wall Thickness and Curvature on Wall Strain in Patient-Specific Atrium Models. CinC 2022: 1-4 - [d1]Ilya A. Verzhbinsky, Luigi Perotti, Kevin Moulin, Tyler E. Cork, Michael Loecher, Daniel B. Ennis:
Diffusion and Displacement Encoded MRI Dataset to Estimate In Vivo Cardiomyocyte Strain. IEEE DataPort, 2022 - 2021
- [j10]Luigi E. Perotti, Ilya A. Verzhbinsky
Estimating cardiomyofiber strain in vivo by solving a computational model. Medical Image Anal. 68: 101932 (2021) - [j9]Michael Loecher, Luigi E. Perotti, Daniel B. Ennis
Using synthetic data generation to train a cardiac motion tag tracking neural network. Medical Image Anal. 74: 102223 (2021) - [c22]Jessica Martinez
Evaluation of Patient Positioning to Mitigate RF-induced Heating of Cardiac Implantable Electronic Devices for Pediatric MRI Exams. EMBC 2021: 5027-5030 - [c21]Orod Razeghi
Impact of Image Resolution and Resampling on Motion Tracking of the Left Chambers from Cardiac Scans. FIMH 2021: 12-21 - [c20]Charles Sillett, Orod Razeghi
Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images. FIMH 2021: 71-83 - [c19]Tanjib Rahman
Diffusion Biomarkers in Chronic Myocardial Infarction. FIMH 2021: 137-147 - [c18]Alexander J. Wilson
Analysis of Location-Dependent Cardiomyocyte Branching. FIMH 2021: 189-199 - [c17]Michael Loecher
Arbitrary Point Tracking with Machine Learning to Measure Cardiac Strains in Tagged MRI. FIMH 2021: 213-222 - [c16]Zhan-Qiu Liu, Nyasha G. Maforo, Pierangelo Renella, Nancy Halnon, Holden H. Wu
Reproducibility of Left Ventricular CINE DENSE Strain in Pediatric Subjects with Duchenne Muscular Dystrophy. FIMH 2021: 232-241 - [c15]Fikunwa O. Kolawole
A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Heart Phantoms. FIMH 2021: 305-314 - [c14]Judith Zimmermann
Quantitative Hemodynamics in Aortic Dissection: Comparing in Vitro MRI with FSI Simulation in a Compliant Model. FIMH 2021: 575-586 - [e1]Daniel B. Ennis
Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings. Lecture Notes in Computer Science 12738, Springer 2021, ISBN 978-3-030-78709-7 [contents] - 2020
- [j8]Ilya A. Verzhbinsky
Estimating Aggregate Cardiomyocyte Strain Using In Vivo Diffusion and Displacement Encoded MRI. IEEE Trans. Medical Imaging 39(3): 656-667 (2020)
2010 – 2019
- 2019
- [j7]Johannes B. Erhardt
It's the little things: On the complexity of planar electrode heating in MRI. NeuroImage 195: 272-284 (2019) - [c13]Tyler E. Cork
High-Resolution Ex Vivo Microstructural MRI After Restoring Ventricular Geometry via 3D Printing. FIMH 2019: 177-186 - [c12]Aditya V. S. Ponnaluri, Ilya A. Verzhbinsky
Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions. FIMH 2019: 294-303 - 2018
- [c11]Ilya A. Verzhbinsky
Time resolved displacement-based registration of in vivo cDTI cardiomyocyte orientations. ISBI 2018: 474-478 - 2017
- [j6]Neha Bajwa
Terahertz Imaging of Cutaneous Edema: Correlation With Magnetic Resonance Imaging in Burn Wounds. IEEE Trans. Biomed. Eng. 64(11): 2682-2694 (2017) - [c10]Luigi E. Perotti, Patrick Magrath, Ilya A. Verzhbinsky
Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI. FIMH 2017: 381-391 - 2016
- [j5]Aditya V. S. Ponnaluri, Luigi E. Perotti, Michael Liu, Zhilin Qu, James N. Weiss, Daniel B. Ennis
Electrophysiology of Heart Failure Using a Rabbit Model: From the Failing Myocyte to Ventricular Fibrillation. PLoS Comput. Biol. 12(6) (2016) - 2015
- [j4]Mitchell G. Newberry, Daniel B. Ennis
Testing Foundations of Biological Scaling Theory Using Automated Measurements of Vascular Networks. PLoS Comput. Biol. 11(8) (2015) - [c9]Judith Zimmermann, Shams Rashid, Peng Hu, Amin Katouzian, Nassir Navab, Daniel B. Ennis:
Cardiac MRI derived epicardial fat maps to assist VT ablation procedures for subjects with implantable devices. ISBI 2015: 747-750 - 2014
- [j3]Jin-Kyu Gahm
The effects of noise over the complete space of diffusion tensor shape. Medical Image Anal. 18(1): 197-210 (2014) - [c8]Anand P. Santhanam, Peyman Benharash, Paul Frank, Benjamin White, Yugang Min, Daniel Ennis, Patrick Kupelian, Erik P. Dutson:
A Framework for Modeling and Visualizing Cardiovascular Deformation Under Normal and Altered Circulatory Conditions. MMVR 2014: 378-383 - 2013
- [c7]Jin-Kyu Gahm
Weighted component-based tensor distance applied to graph-based segmentation of cardiac DT-MRI. ISBI 2013: 504-507 - [c6]Jin-Kyu Gahm
Dyadic Tensor-Based Interpolation of Tensor Orientation: Application to Cardiac DT-MRI. STACOM 2013: 135-142 - [c5]Anand P. Santhanam, Tai Dou, John Neylon, Yugang Min, Alexandre Kupelian, Ke Sheng
Multi-Scale, Multi-Modal Image Integration for Image-Guided Clinical Interventions in the Head and Neck Anatomy. MMVR 2013: 380-386 - 2012
- [c4]Jin-Kyu Gahm, Nicholas Wisniewski, Gordon L. Kindlmann, Geoffrey L. Kung, William S. Klug, Alan Garfinkel
Linear Invariant Tensor Interpolation Applied to Cardiac Diffusion Tensor MRI. MICCAI (2) 2012: 494-501 - 2011
- [c3]Vicky Y. Wang, Daniel B. Ennis, Brett R. Cowan, Alistair A. Young
Myocardial Contractility and Regional Work throughout the Cardiac Cycle Using FEM and MRI. STACOM 2011: 149-159 - 2010
- [c2]Vicky Y. Wang, Hoi Ieng Lam, Daniel B. Ennis, Brett R. Cowan, Alistair A. Young
Cardiac Active Contraction Parameters Estimated from Magnetic Resonance Imaging. STACOM/CESC 2010: 194-203
2000 – 2009
- 2009
- [j2]Vicky Y. Wang, Hoi Ieng Lam, Daniel B. Ennis
Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function. Medical Image Anal. 13(5): 773-784 (2009) - 2008
- [c1]Vicky Y. Wang, Hoi Ieng Lam, Daniel B. Ennis, Alistair A. Young, Martyn P. Nash
Passive Ventricular Mechanics Modelling Using MRI of Structure and Function. MICCAI (2) 2008: 814-821 - 2007
- [j1]Gordon L. Kindlmann, Daniel B. Ennis
Diffusion Tensor Analysis With Invariant Gradients and Rotation Tangents. IEEE Trans. Medical Imaging 26(11): 1483-1499 (2007)
Coauthor Index
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