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2020 – today
- 2023
[j27]Richard Osuala
, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. Medical Image Anal. 84: 102704 (2023)- 2022
- [j26]Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir:
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study. Artif. Intell. Medicine 132: 102386 (2022) - [j25]Carla Sendra-Balcells, Víctor M. Campello, Carlos Martín-Isla, David Viladés, Martín Luís Descalzo, Andrea Guala, José F. Rodríguez Palomares, Karim Lekadir:
Domain generalization in deep learning for contrast-enhanced imaging. Comput. Biol. Medicine 149: 106052 (2022) - [j24]Vien Ngoc Dang, Francesco Galati, Rosa Cortese, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Karim Lekadir, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga:
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. Medical Image Anal. 75: 102263 (2022) - [j23]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81: 102528 (2022) - [j22]Thijs Devriendt, Mahsa Shabani, Karim Lekadir, Pascal Borry:
Data sharing platforms: instruments to inform and shape science policy on data sharing? Scientometrics 127(6): 3007-3019 (2022) - [c27]Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. MICCAI (8) 2022: 514-524 - [e2]Esther Puyol-Antón, Mihaela Pop, Carlos Martín-Isla, Maxime Sermesant, Avan Suinesiaputra, Oscar Camara, Karim Lekadir, Alistair Young:
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM@MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13131, Springer 2022, ISBN 978-3-030-93721-8 [contents] - [i16]Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir:
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study. CoRR abs/2201.11620 (2022) - [i15]Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Díaz:
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification. CoRR abs/2203.04961 (2022) - [i14]Kaisar Kushibar, Víctor Manuel Campello, Lidia Garrucho Moras, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. CoRR abs/2203.08878 (2022) - [i13]Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa A. Elattar, Benard Ohene Botwe, Pempho Nyangulu, William Stones, Mohammed Ammar, Lamya Nawal Benamer, Harriet Nalubega Kisembo, Senai Goitom Sereke, Sikolia Z. Wanyonyi, Marleen Temmerman, Kamil Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir:
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. CoRR abs/2209.09610 (2022) - [i12]Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Díaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir:
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. CoRR abs/2209.09809 (2022) - [i11]Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, Lidia Garrucho, Eloy García, Smriti Joshi, Socayna Jouide, Michael W. Rutherford, Fred Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir:
medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. CoRR abs/2209.14472 (2022) - [i10]Vien Ngoc Dang, Anna Cascarano, Rosa H. Mulder, Charlotte Cecil, Maria A. Zuluaga, Jerónimo Hernández-González, Karim Lekadir:
Fairness and bias correction in machine learning for depression prediction: results from four different study populations. CoRR abs/2211.05321 (2022) - 2021
- [j21]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c26]Akis Linardos, Kaisar Kushibar, Karim Lekadir:
Center Dropout: A Simple Method for Speed and Fairness in Federated Learning. BrainLes@MICCAI (2) 2021: 481-493 - [c25]Smriti Joshi, Richard Osuala, Carlos Martín-Isla, Víctor M. Campello, Carla Sendra-Balcells, Karim Lekadir, Sergio Escalera:
nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging. BrainLes@MICCAI (2) 2021: 540-551 - [c24]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva:
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. CBMS 2021: 492-497 - [c23]Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni:
Style Curriculum Learning for Robust Medical Image Segmentation. MICCAI (1) 2021: 451-460 - [e1]Esther Puyol-Antón, Mihaela Pop, Maxime Sermesant, Víctor M. Campello, Alain Lalande, Karim Lekadir, Avan Suinesiaputra, Oscar Camara, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12592, Springer 2021, ISBN 978-3-030-68106-7 [contents] - [i9]Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir:
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. CoRR abs/2107.03901 (2021) - [i8]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. CoRR abs/2107.09543 (2021) - [i7]Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni:
Style Curriculum Learning for Robust Medical Image Segmentation. CoRR abs/2108.00402 (2021) - [i6]Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Konstantinos Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí:
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. CoRR abs/2109.09658 (2021) - [i5]Carla Sendra-Balcells, Víctor M. Campello, Carlos Martín-Isla, David Vilades Medel, Martín Luís Descalzo, Andrea Guala, José F. Rodríguez Palomares, Karim Lekadir:
Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI. CoRR abs/2110.07360 (2021) - 2020
- [c22]Carlos Martín-Isla, Maryam Asadi-Aghbolaghi, Polyxeni Gkontra, Víctor M. Campello, Sergio Escalera, Karim Lekadir:
Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI 2020: 1-16 - [i4]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR abs/2006.12434 (2020) - [i3]Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A radiomics approach to analyze cardiac alterations in hypertension. CoRR abs/2007.10717 (2020)
2010 – 2019
- 2019
- [c21]Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Analyze Cardiac Alterations in Hypertension. ISBI 2019: 640-643 - [c20]Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel Ángel González Ballester, Karim Lekadir:
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. STACOM@MICCAI 2019: 290-299 - [i2]Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel Ángel González Ballester, Karim Lekadir:
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. CoRR abs/1909.01182 (2019) - [i1]Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. CoRR abs/1909.11854 (2019) - 2018
- [j20]Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Karim Lekadir, Nadine Hahner, Elisenda Eixarch, Miguel Ángel González Ballester:
Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation. Comput. Medical Imaging Graph. 69: 52-59 (2018) - [j19]Xènia Albà, Karim Lekadir, Marco Pereañez, Pau Medrano-Gracia, Alistair A. Young, Alejandro F. Frangi:
Automatic initialization and quality control of large-scale cardiac MRI segmentations. Medical Image Anal. 43: 129-141 (2018) - [j18]Ali Gooya, Karim Lekadir, Isaac Castro-Mateos, José María Pozo, Alejandro F. Frangi:
Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 891-904 (2018) - [j17]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) - [j16]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - 2017
- [j15]Karim Lekadir, Alfiia Galimzianova, Àngels Betriu, Maria del Mar Vila, Laura Igual, Daniel L. Rubin, Elvira Fernández, Petia Radeva, Sandy Napel:
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound. IEEE J. Biomed. Health Informatics 21(1): 48-55 (2017) - [c19]Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. STACOM@MICCAI 2017: 82-90 - 2016
- [j14]Karim Lekadir, Matthias Lange, Veronika A. M. Zimmer, Corné Hoogendoorn, Alejandro F. Frangi:
Statistically-driven 3D fiber reconstruction and denoising from multi-slice cardiac DTI using a Markov random field model. Medical Image Anal. 27: 105-116 (2016) - [j13]Xènia Albà, Marco Pereañez, Corné Hoogendoorn, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi, Karim Lekadir:
An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model. IEEE Trans. Medical Imaging 35(3): 845-859 (2016) - 2015
- [j12]Veronika A. M. Zimmer, Karim Lekadir, Corné Hoogendoorn, Alejandro F. Frangi, Gemma Piella:
A framework for optimal kernel-based manifold embedding of medical image data. Comput. Medical Imaging Graph. 41: 93-107 (2015) - [j11]Marco Pereañez, Karim Lekadir, Isaac Castro-Mateos, José María Pozo, Áron Lazary, Alejandro F. Frangi:
Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models. IEEE Trans. Medical Imaging 34(8): 1627-1639 (2015) - [j10]Isaac Castro-Mateos, José María Pozo, Marco Pereañez, Karim Lekadir, Áron Lazary, Alejandro F. Frangi:
Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation. IEEE Trans. Medical Imaging 34(8): 1663-1675 (2015) - [j9]Karim Lekadir, Corné Hoogendoorn, Javad Hazrati-Marangalou, Zeike A. Taylor, Christopher Noble, Bert van Rietbergen, Alejandro F. Frangi:
A Predictive Model of Vertebral Trabecular Anisotropy From Ex Vivo Micro-CT. IEEE Trans. Medical Imaging 34(8): 1747-1759 (2015) - [c18]Ali Gooya, Karim Lekadir, Xènia Albà, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi:
Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling. IPMI 2015: 98-109 - [c17]Toni Lassila, Matthias Lange, Antonio R. Porras Perez, Karim Lekadir, Xènia Albà, Gemma Piella, Alejandro F. Frangi:
Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network. STACOM@MICCAI 2015: 90-97 - [c16]Marco Pereañez, Karim Lekadir, Xènia Albà, Pau Medrano-Gracia, Alistair A. Young, Alejandro F. Frangi:
Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation. STACOM@MICCAI 2015: 98-107 - [c15]Karim Lekadir, Xènia Albà, Marco Pereañez, Alejandro F. Frangi:
Statistical Shape Modeling Using Partial Least Squares: Application to the Assessment of Myocardial Infarction. STACOM@MICCAI 2015: 130-139 - [c14]Catarina Pinto, Serkan Çimen, Ali Gooya, Karim Lekadir, Alejandro F. Frangi:
Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction. STACOM@MICCAI 2015: 171-179 - 2014
- [j8]Marco Pereañez, Karim Lekadir, Constantine Butakoff, Corné Hoogendoorn, Alejandro F. Frangi:
A framework for the merging of pre-existing and correspondenceless 3D statistical shape models. Medical Image Anal. 18(7): 1044-1058 (2014) - [j7]Karim Lekadir, Ali Pashaei, Corné Hoogendoorn, Marco Pereañez, Xènia Albà, Alejandro F. Frangi:
Effect of Statistically Derived Fiber Models on the Estimation of Cardiac Electrical Activation. IEEE Trans. Biomed. Eng. 61(11): 2740-2748 (2014) - [j6]Karim Lekadir, Corné Hoogendoorn, Marco Pereañez, Xènia Albà, Ali Pashaei, Alejandro F. Frangi:
Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors. IEEE Trans. Medical Imaging 33(4): 882-890 (2014) - [c13]Xènia Albà, Karim Lekadir, Corné Hoogendoorn, Marco Pereañez, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi:
Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts. STACOM 2014: 257-264 - 2013
- [j5]Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, Rocío Cabrera Lozoya, Catalina Tobon-Gomez, Philippe Moireau, Rosa M. Figueras i Ventura, Karim Lekadir, Alfredo I. Hernández, Mireille Garreau, Erwan Donal, Christophe Leclercq, Simon G. Duckett, Kawal S. Rhode, C. Aldo Rinaldi, Alejandro F. Frangi, Reza Razavi, Dominique Chapelle, Nicholas Ayache:
Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes. Medical Image Anal. 17(7): 816-829 (2013) - [j4]Corné Hoogendoorn, Nicolas Duchateau, Damian Sánchez-Quintana, Tristan Whitmarsh, Federico Sukno, Mathieu De Craene, Karim Lekadir, Alejandro F. Frangi:
A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT. IEEE Trans. Medical Imaging 32(1): 28-44 (2013) - [j3]Lichao Wang, Karim Lekadir, Su-Lin Lee, Robert D. Merrifield, Guang-Zhong Yang:
A General Framework for Context-Specific Image Segmentation Using Reinforcement Learning. IEEE Trans. Medical Imaging 32(5): 943-956 (2013) - [c12]Veronika A. M. Zimmer, Roger Fonolla, Karim Lekadir, Gemma Piella, Corné Hoogendoorn, Alejandro F. Frangi:
Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations. MLMI 2013: 82-89 - [c11]Karim Lekadir, Ali Pashaei, Corné Hoogendoorn, Marco Pereañez, Xènia Albà, Alejandro F. Frangi:
Personalized Modeling of Cardiac Electrophysiology Using Shape-Based Prediction of Fiber Orientation. STACOM 2013: 196-203 - [c10]Marco Pereañez, Karim Lekadir, Constantine Butakoff, Corné Hoogendoorn, Alejandro F. Frangi:
Fusing Correspondenceless 3D Point Distribution Models. MICCAI (1) 2013: 251-258 - 2012
- [c9]Xènia Albà, Rosa M. Figueras i Ventura, Karim Lekadir, Alejandro F. Frangi:
Conical deformable model for myocardial segmentation in late-enhanced MRI. ISBI 2012: 270-273 - [c8]Xènia Albà, Rosa M. Figueras i Ventura, Karim Lekadir, Alejandro F. Frangi:
Healthy and Scar Myocardial Tissue Classification in DE-MRI. STACOM 2012: 62-70 - [c7]Karim Lekadir, Alejandro F. Frangi, Guang-Zhong Yang:
Inter-Point Procrustes: Identifying Regional and Large Differences in 3D Anatomical Shapes. MICCAI (3) 2012: 99-106 - 2011
- [j2]Karim Lekadir, Niall Keenan, Dudley Pennell, Guang-Zhong Yang:
An Inter-Landmark Approach to 4-D Shape Extraction and Interpretation: Application to Myocardial Motion Assessment in MRI. IEEE Trans. Medical Imaging 30(1): 52-68 (2011) - [c6]Karim Lekadir, Babak Ghafaryasl, Emma Muñoz-Moreno, Constantine Butakoff, Corné Hoogendoorn, Alejandro F. Frangi:
Predictive Modeling of Cardiac Fiber Orientation Using the Knutsson Mapping. MICCAI (2) 2011: 50-57 - 2010
- [c5]Lichao Wang, Karim Lekadir, Ismail El-Hamamsy, Magdi Yacoub, Guang-Zhong Yang:
Subject Specific Shape Modeling with Incremental Mixture Models. MIAR 2010: 21-30
2000 – 2009
- 2008
- [c4]Karim Lekadir, Guang-Zhong Yang:
Optimal Feature Point Selection and Automatic Initialization in Active Shape Model Search. MICCAI (1) 2008: 434-441 - 2007
- [j1]Karim Lekadir, Robert D. Merrifield, Guang-Zhong Yang:
Outlier Detection and Handling for Robust 3-D Active Shape Models Search. IEEE Trans. Medical Imaging 26(2): 212-222 (2007) - [c3]Karim Lekadir, Niall Keenan, Dudley Pennell, Guang-Zhong Yang:
Shape-Based Myocardial Contractility Analysis Using Multivariate Outlier Detection. MICCAI (2) 2007: 834-841 - 2006
- [c2]Karim Lekadir, Daniel S. Elson, Jose Requejo-Isidro, Christopher Dunsby, James McGinty, Neil Galletly, Gordon Stamp, Paul M. W. French, Guang-Zhong Yang:
Tissue Characterization Using Dimensionality Reduction and Fluorescence Imaging. MICCAI (2) 2006: 586-593 - [c1]Karim Lekadir, Guang-Zhong Yang:
Carotid Artery Segmentation Using an Outlier Immune 3D Active Shape Models Framework. MICCAI (1) 2006: 620-627
Coauthor Index
Víctor M. Campello
aka: Víctor Manuel Campello
aka: Víctor Manuel Campello
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