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2020 – today
- 2024
[j36]Yuhao Huang
, Xin Yang, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi Chen, Junxuan Yu, Jiongquan Chen, Chaoyu Chen, Sijing Liu, Haozhe Chi, Xindi Hu, Kejuan Yue, Lei Li, Vicente Grau, Deng-Ping Fan, Fajin Dong, Dong Ni:
Segment anything model for medical images? Medical Image Anal. 92: 103061 (2024)- [j35]Julià Camps, Lucas Arantes Berg, Zhinuo Jenny Wang, Rafael Sebastián, Leto Luana Riebel, Rubén Doste, Xin Zhou, Rafael Sachetto Oliveira, James A. Coleman, Brodie Lawson, Vicente Grau, Kevin Burrage, Alfonso Bueno-Orovio, Rodrigo Weber dos Santos, Blanca Rodríguez:
Digital twinning of the human ventricular activation sequence to Clinical 12-lead ECGs and magnetic resonance imaging using realistic Purkinje networks for in silico clinical trials. Medical Image Anal. 94: 103108 (2024) - [j34]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks. IEEE J. Biomed. Health Informatics 28(8): 4810-4819 (2024) - [j33]Lei Li, Julià Camps, Zhinuo Jenny Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. IEEE Trans. Medical Imaging 43(7): 2466-2478 (2024) - [c83]Thalia Seale, Marcel Beetz, Blanca Rodríguez, Vicente Grau, Abhirup Banerjee:
Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders. ISBI 2024: 1-5 - [i16]Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau:
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction. CoRR abs/2403.10581 (2024) - [i15]Lei Li, Julià Camps, Blanca Rodríguez, Vicente Grau:
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey. CoRR abs/2406.11445 (2024) - [i14]Yiying Wang, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau:
Deep Learning-based 3D Coronary Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections. CoRR abs/2407.14616 (2024) - 2023
- [j32]Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang, Vicente Grau:
Multi-modality cardiac image computing: A survey. Medical Image Anal. 88: 102869 (2023) - [j31]Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, Vicente Grau:
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images. Medical Image Anal. 90: 102975 (2023) - [j30]Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir:
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023) - [c82]Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau:
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. EMBC 2023: 1-4 - [c81]Ambre Bertrand, Julià Camps, Vicente Grau, Blanca Rodríguez:
Deep Learning-Based Emulation of Human Cardiac Activation Sequences. FIMH 2023: 213-222 - [c80]Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Influence of Myocardial Infarction on QRS Properties: A Simulation Study. FIMH 2023: 223-232 - [c79]Emmanuel Oladokun, Musa Abdulkareem, Jurica Sprem, Vicente Grau:
Transesophageal Echocardiography Generation Using Anatomical Models. DALI@MICCAI 2023: 43-52 - [c78]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. MICCAI (2) 2023: 532-542 - [c77]Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau:
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net. STACOM@MICCAI 2023: 163-173 - [c76]Haorui He, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau:
Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network. STACOM@MICCAI 2023: 209-219 - [i13]Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Influence of Myocardial Infarction on QRS Properties: A Simulation Study. CoRR abs/2304.01796 (2023) - [i12]Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. CoRR abs/2307.04421 (2023) - [i11]Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau:
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. CoRR abs/2307.07298 (2023) - [i10]Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, Vicente Grau:
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images. CoRR abs/2307.08535 (2023) - [i9]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks. CoRR abs/2307.10927 (2023) - [i8]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Multi-objective point cloud autoencoders for explainable myocardial infarction prediction. CoRR abs/2307.11017 (2023) - [i7]Hannah J. Smith, Blanca Rodríguez, Yuling Sang, Marcel Beetz, Robin Choudhury, Vicente Grau, Abhirup Banerjee:
Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction. CoRR abs/2312.13976 (2023) - 2022
- [c75]Julià Camps, Zhinuo J. Wang, Rafael Sebastián, Xin Zhou, Brodie Lawson, Lucas Arantes Berg, Kevin Burrage, Vicente Grau, Rodrigo Weber dos Santos, Blanca Rodríguez:
Inference of Number and Location of Purkinje Root Nodes and Ventricular Conduction Properties from Clinical 12-Lead ECGs for Cardiac Digital Twinning. CinC 2022: 1-4 - [c74]Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, Vicente Grau:
Automated 3D Whole-Heart Mesh Reconstruction From 2D Cine MR Slices Using Statistical Shape Model. EMBC 2022: 1702-1706 - [c73]Hannah J. Smith, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau:
Automated Torso Contour Extraction from Clinical Cardiac MR Slices for 3D Torso Reconstruction. EMBC 2022: 3809-3813 - [c72]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets. GeoMedIA 2022: 3-14 - [c71]Marcel Beetz, Abhirup Banerjee, Yuling Sang, Vicente Grau:
Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders. ISBI 2022: 1-4 - [c70]Haorui He, Abhirup Banerjee, Marcel Beetz, Robin P. Choudhury, Vicente Grau:
Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function. ISBI 2022: 1-5 - [c69]Yuling Sang, Marcel Beetz, Vicente Grau:
Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder. ISBI 2022: 1-5 - [c68]Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau:
Mesh U-Nets for 3D Cardiac Deformation Modeling. STACOM@MICCAI 2022: 245-257 - [c67]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction. STACOM@MICCAI 2022: 280-290 - [c66]Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau:
Post-Infarction Risk Prediction with Mesh Classification Networks. STACOM@MICCAI 2022: 291-301 - [c65]Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Deep Computational Model for the Inference of Ventricular Activation Properties. STACOM@MICCAI 2022: 369-380 - [i6]Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Deep Computational Model for the Inference of Ventricular Activation Properties. CoRR abs/2208.04028 (2022) - [i5]Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang, Vicente Grau:
Multi-Modality Cardiac Image Computing: A Survey. CoRR abs/2208.12881 (2022) - 2021
- [j29]Julià Camps, Brodie Lawson, Christopher C. Drovandi, Ana Mincholé, Zhinuo J. Wang, Vicente Grau, Kevin Burrage, Blanca Rodríguez:
Inference of ventricular activation properties from non-invasive electrocardiography. Medical Image Anal. 73: 102143 (2021) - [j28]Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li:
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. IEEE J. Biomed. Health Informatics 25(9): 3541-3553 (2021) - [c64]Julià Camps, Brodie Lawson, Christopher C. Drovandi, Ana Mincholé, Zhinuo J. Wang, Vicente Grau, Kevin Burrage, Blanca Rodríguez:
Inference of Ventricular Activation Properties from Twelve-lead Electrocardiogram. CinC 2021: 1-4 - [c63]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks. ISBI 2021: 105-109 - [c62]Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, Vicente Grau:
Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model. MIUA 2021: 201-209 - [c61]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders. STACOM@MICCAI 2021: 75-83 - [c60]Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, Vicente Grau:
Predicting 3D Cardiac Deformations with Point Cloud Autoencoders. STACOM@MICCAI 2021: 219-228 - [c59]Marcel Beetz, Jorge Corral Acero, Vicente Grau:
A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation. STACOM@MICCAI 2021: 323-334 - 2020
- [j27]Abhirup Banerjee, Francesca Galassi, Ernesto Zacur, Giovanni Luigi De Maria, Robin Choudhury, Vicente Grau:
Point-Cloud Method for Automated 3D Coronary Tree Reconstruction From Multiple Non-Simultaneous Angiographic Projections. IEEE Trans. Medical Imaging 39(4): 1278-1290 (2020) - [c58]Jorge Corral Acero, Vaanathi Sundaresan, Nicola K. Dinsdale, Vicente Grau, Mark Jenkinson:
A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 196-207 - [i4]Anirudh Chandrashekar, Ashok Handa, Natesh Shivakumar, Pierfrancesco Lapolla, Vicente Grau, Regent Lee:
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent. CoRR abs/2002.03463 (2020) - [i3]Anirudh Chandrashekar, Ashok Handa, Natesh Shivakumar, Pierfrancesco Lapolla, Vicente Grau, Regent Lee:
A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents. CoRR abs/2003.01223 (2020)
2010 – 2019
- 2019
- [j26]Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez:
Patch-based lung ventilation estimation using multi-layer supervoxels. Comput. Medical Imaging Graph. 74: 49-60 (2019) - [j25]Russell Bates, Benjamin Irving, Bostjan Markelc, Jakob Kaeppler, Graham Brown, Ruth J. Muschel, J. Michael Brady, Vicente Grau, Julia A. Schnabel:
Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images. IEEE Trans. Medical Imaging 38(1): 1-10 (2019) - [c57]Hao Xu, Ernesto Zacur, Jürgen E. Schneider, Vicente Grau:
Ventricle Surface Reconstruction from Cardiac MR Slices Using Deep Learning. FIMH 2019: 342-351 - [c56]Jorge Corral Acero, Ernesto Zacur, Hao Xu, Rina Ariga, Alfonso Bueno-Orovio, Pablo Lamata, Vicente Grau:
SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI. FIMH 2019: 361-369 - [c55]Julius Ossenberg-Engels, Vicente Grau:
Conditional Generative Adversarial Networks for the Prediction of Cardiac Contraction from Individual Frames. STACOM@MICCAI 2019: 109-118 - [c54]Jorge Corral Acero, Hao Xu, Ernesto Zacur, Jürgen E. Schneider, Pablo Lamata, Alfonso Bueno-Orovio, Vicente Grau:
Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation. STACOM@MICCAI 2019: 384-394 - [c53]Abhirup Banerjee, Robin Choudhury, Vicente Grau:
Optimized Rigid Motion Correction from Multiple Non-simultaneous X-Ray Angiographic Projections. PReMI (2) 2019: 61-69 - [i2]Hoileong Lee, Tahreema N. Matin, Fergus Gleeson, Vicente Grau:
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images. CoRR abs/1909.07474 (2019) - 2018
- [j24]Benjamin Villard, Vicente Grau, Ernesto Zacur:
Surface Mesh Reconstruction from Cardiac MRI Contours. J. Imaging 4(1): 16 (2018) - [j23]Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia:
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22(2): 503-515 (2018) - [c52]Abhirup Banerjee, Rajesh K. Kharbanda, Robin Choudhury, Vicente Grau:
Automated Motion Correction and 3D Vessel Centerlines Reconstruction from Non-simultaneous Angiographic Projections. STACOM@MICCAI 2018: 12-20 - [c51]Nicolas Basty, Vicente Grau:
Super Resolution of Cardiac Cine MRI Sequences Using Deep Learning. RAMBO+BIA+TIA@MICCAI 2018: 23-31 - [c50]Yu Yan, Hoileong Lee, Edward Somer, Vicente Grau:
Generation of Amyloid PET Images via Conditional Adversarial Training for Predicting Progression to Alzheimer's Disease. PRIME@MICCAI 2018: 26-33 - [c49]Benjamin Villard, Ernesto Zacur, Vicente Grau:
ISACHI: Integrated Segmentation and Alignment Correction for Heart Images. STACOM@MICCAI 2018: 171-180 - [c48]Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez:
XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model. RAMBO+BIA+TIA@MICCAI 2018: 260-271 - [c47]Hao Xu, Jürgen E. Schneider, Vicente Grau:
Calculation of Anatomical and Functional Metrics Using Deep Learning in Cardiac MRI: Comparison Between Direct and Segmentation-Based Estimation. STACOM@MICCAI 2018: 402-411 - [c46]Adam Szmul, Bartlomiej W. Papiez, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau:
Regional lung ventilation estimation based on supervoxel tracking. Medical Imaging: Image-Guided Procedures 2018: 105761E - 2017
- [j22]Kelly S. Burrowes, Tom Doel, Minsuok Kim, Claudia Vargas, Josep Roca, Vicente Grau, D. Kay:
A combined image-modelling approach assessing the impact of hyperinflation due to emphysema on regional ventilation-perfusion matching. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(2): 110-126 (2017) - [j21]Adam Szmul, Bartlomiej W. Papiez, Andre Hallack, Vicente Grau, Julia A. Schnabel:
Supervoxels for graph cuts-based deformable image registration using guided image filtering. J. Electronic Imaging 26(6): 61607 (2017) - [j20]Ramón Casero, Urszula Siedlecka, Elizabeth S. Jones, Lena Gruscheski, Matthew Gibb, Jürgen E. Schneider, Peter Kohl, Vicente Grau:
Transformation diffusion reconstruction of three-dimensional histology volumes from two-dimensional image stacks. Medical Image Anal. 38: 184-204 (2017) - [j19]Joanne Bates, Irvin Teh, Darryl McClymont, Peter Kohl, Jürgen E. Schneider, Vicente Grau:
Monte Carlo Simulations of Diffusion Weighted MRI in Myocardium: Validation and Sensitivity Analysis. IEEE Trans. Medical Imaging 36(6): 1316-1325 (2017) - [c45]Ernesto Zacur, Ana Mincholé, Benjamin Villard, Valentina Carapella, Rina Ariga, Blanca Rodríguez, Vicente Grau:
MRI-Based Heart and Torso Personalization for Computer Modeling and Simulation of Cardiac Electrophysiology. BIVPCS/POCUS@MICCAI 2017: 61-70 - [c44]Hoileong Lee, Tahreema N. Matin, Fergus Gleeson, Vicente Grau:
Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images. MICCAI (1) 2017: 108-115 - [c43]Nicolas Basty, Darryl McClymont, Irvin Teh, Jürgen E. Schneider, Vicente Grau:
Reconstruction of 3D Cardiac MR Images from 2D Slices Using Directional Total Variation. CMMI/RAMBO/SWITCH@MICCAI 2017: 127-135 - [c42]Benjamin Villard, Valentina Carapella, Rina Ariga, Vicente Grau, Ernesto Zacur:
Cardiac Mesh Reconstruction from Sparse, Heterogeneous Contours. MIUA 2017: 169-181 - [c41]Iulia A. Popescu, Alessandra Borlotti, Erica Dall' Armellina, Vicente Grau:
Automated LGE Myocardial Scar Segmentation Using MaskSLIC Supervoxels - Replicating the Clinical Method. MIUA 2017: 229-236 - [i1]Russell Bates, Benjamin Irving, Bostjan Markelc, Jakob Kaeppler, Ruth J. Muschel, Vicente Grau, Julia A. Schnabel:
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks. CoRR abs/1705.09597 (2017) - 2016
- [j18]Tobias Wech, Nicole Seiberlich, Andreas Schindele, Vicente Grau, Leonie Diffley, Michael L. Gyngell, Alfio Borzì, Herbert Köstler, Jürgen E. Schneider:
Development of Real-Time Magnetic Resonance Imaging of Mouse Hearts at 9.4 Tesla - Simulations and First Application. IEEE Trans. Medical Imaging 35(3): 912-920 (2016) - [j17]Alfonso Bueno-Orovio, Irvin Teh, Jürgen E. Schneider, Kevin Burrage, Vicente Grau:
Anomalous Diffusion in Cardiac Tissue as an Index of Myocardial Microstructure. IEEE Trans. Medical Imaging 35(9): 2200-2207 (2016) - [c40]Adam Szmul, Bartlomiej W. Papiez, Russell Bates, Andre Hallack, Julia A. Schnabel, Vicente Grau:
Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering. CVPR Workshops 2016: 592-599 - [c39]Benjamin Villard, Ernesto Zacur, Erica Dall' Armellina, Vicente Grau:
Correction of Slice Misalignment in Multi-breath-hold Cardiac MRI Scans. STACOM@MICCAI 2016: 30-38 - [c38]Antoni Gurguí, Debora Gil, Vicente Grau, Enric Martí:
Left-Ventricle Basal Region Constrained Parametric Mapping to Unitary Domain. STACOM@MICCAI 2016: 163-171 - [c37]Iulia A. Popescu, Benjamin Irving, Alessandra Borlotti, Erica Dall' Armellina, Vicente Grau:
Myocardial Scar Quantification Using SLIC Supervoxels - Parcellation Based on Tissue Characteristic Strains. STACOM@MICCAI 2016: 182-190 - [c36]Bartlomiej W. Papiez, Adam Szmul, Vicente Grau, J. Michael Brady, Julia A. Schnabel:
Non-local Graph-Based Regularization for Deformable Image Registration. MCV/BAMBI@MICCAI 2016: 199-207 - [c35]Tasos Papastylianou, Erica Dall' Armellina, Vicente Grau:
Orientation-Sensitive Overlap Measures for the Validation of Medical Image Segmentations. MICCAI (2) 2016: 361-369 - 2015
- [j16]Tom Doel, David J. Gavaghan, Vicente Grau:
Review of automatic pulmonary lobe segmentation methods from CT. Comput. Medical Imaging Graph. 40: 13-29 (2015) - [c34]Joanne Bates, Irvin Teh, Peter Kohl, Jürgen E. Schneider, Vicente Grau:
Sensitivity Analysis of Diffusion Tensor MRI in Simulated Rat Myocardium. FIMH 2015: 120-128 - [c33]Tasos Papastylianou, Christopher Kelly, Benjamin Villard, Erica Dall' Armellina, Vicente Grau:
Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints. FIMH 2015: 231-239 - [c32]Jack Allen, Ernesto Zacur, Erica Dall' Armellina, Pablo Lamata, Vicente Grau:
Myocardial Infarction Detection from Left Ventricular Shapes Using a Random Forest. STACOM@MICCAI 2015: 180-189 - 2014
- [c31]Christopher Kelly, Stefan Neubauer, Robin Choudhury, Erica Dall' Armellina, Vicente Grau:
A Local Phase-Based Algorithm for Registration of CMR Scans from Multiple Visits. CinC 2014: 937-940 - 2013
- [j15]Boguslaw Obara, Mark A. J. Roberts, Judith P. Armitage, Vicente Grau:
Bacterial cell identification in differential interference contrast microscopy images. BMC Bioinform. 14: 134 (2013) - [j14]Gemma Piella, Mathieu De Craene, Constantine Butakoff, Vicente Grau, Cheng Yao, Shahrum Nedjati-Gilani, Graeme P. Penney, Alejandro F. Frangi:
Multiview diffeomorphic registration: Application to motion and strain estimation from 3D echocardiography. Medical Image Anal. 17(3): 348-364 (2013) - [j13]Ayush Goyal, Jack Lee, Pablo Lamata, Jeroen P. H. M. van den Wijngaard, Pepijn van Horssen, Jos A. E. Spaan, Maria Siebes, Vicente Grau, Nic Smith:
Model-Based Vasculature Extraction From Optical Fluorescence Cryomicrotome Images. IEEE Trans. Medical Imaging 32(1): 56-72 (2013) - [c30]Valentina Carapella, Rafel Bordas, Pras Pathmanathan, Jürgen E. Schneider, Peter Kohl, Kevin Burrage, Vicente Grau:
Effect of Fibre Orientation Optimisation in an Electromechanical Model of Left Ventricular Contraction in Rat. FIMH 2013: 46-53 - 2012
- [j12]Boguslaw Obara, Vicente Grau, Mark D. Fricker:
A bioimage informatics approach to automatically extract complex fungal networks. Bioinform. 28(18): 2374-2381 (2012) - [j11]Boguslaw Obara, Mark D. Fricker, David Gavaghan, Vicente Grau:
Contrast-Independent Curvilinear Structure Detection in Biomedical Images. IEEE Trans. Image Process. 21(5): 2572-2581 (2012) - [c29]Matthew Gibb, Rebecca Burton, Christian Bollensdorff, Carlos Afonso, Tahier Mansoori, Ulrich Schotten, David Gavaghan, Blanca Rodríguez, Jürgen E. Schneider, Peter Kohl, Vicente Grau:
Resolving the Three-Dimensional Histology of the Heart. CMSB 2012: 2-16 - [c28]Boguslaw Obara, Mark D. Fricker, Vicente Grau:
Coherence enhancing diffusion filtering based on the Phase Congruency Tensor. ISBI 2012: 202-205 - [c27]Tom Doel, Tahreema N. Matin, Fergus Gleeson, David Gavaghan, Vicente Grau:
Pulmonary lobe segmentation from CT images using fissureness, airways, vessels and multilevel B-splines. ISBI 2012: 1491-1494 - [c26]Boguslaw Obara, Mark D. Fricker, Vicente Grau:
Local phase approaches to extract biomedical networks. ISBI 2012: 1796-1799 - [c25]Boguslaw Obara, Mark D. Fricker, Vicente Grau:
Contrast independent detection of branching points in network-like structures. Medical Imaging: Image Processing 2012: 83141L - 2011
- [j10]Jeyarajan Thiyagalingam, Daniel Goodman, Julia A. Schnabel, Anne E. Trefethen, Vicente Grau:
On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences. Int. J. Biomed. Imaging 2011: 137604:1-137604:15 (2011) - [j9]Kashif Rajpoot, Vicente Grau, J. Alison Noble, Harald Becher, Cezary Szmigielski:
The evaluation of single-view and multi-view fusion 3D echocardiography using image-driven segmentation and tracking. Medical Image Anal. 15(4): 514-528 (2011) - [c24]