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2020 – today
- 2024
[j39]François Le Grand, Richard Macwan, Alain Lalande
, Lisa Métairie, Thomas Decourselle:
Effect of Data Augmentation on Deep-Learning-Based Segmentation of Long-Axis Cine-MRI. Algorithms 17(1): 10 (2024)- [j38]Tewele W. Tareke, Sarah Leclerc, Catherine Vuillemin, Perrine Buffier, Elodie Crevisy, Amandine Nguyen, Marie-Paule Monnier Meteau, Pauline Legris, Serge Angiolini, Alain Lalande:
Automatic Classification of Nodules from 2D Ultrasound Images Using Deep Learning Networks. J. Imaging 10(8): 203 (2024) - 2023
- [j37]Gonzalo E. Mosquera-Rojas, Cylia Ouadah, Azadeh Hadadi, Alain Lalande, Sarah Leclerc:
Automatic Myocardium Segmentation in Delayed-Enhancement MRI with Pathology-Specific Data Augmentation and Deep Learning Architectures. Algorithms 16(10): 488 (2023) - [j36]Emmanouil Koutoulakis, Louis Marage, Emmanouil Markodimitrakis, Leone Aubignac, Catherine Jenny, Igor Bessières, Alain Lalande:
Automatic Multiorgan Segmentation in Pelvic Region with Convolutional Neural Networks on 0.35 T MR-Linac Images. Algorithms 16(11): 521 (2023) - [j35]Juan Cisneros, Alain Lalande, Binnaz Yalcin, Fabrice Mériaudeau, Stephan Collins:
Automatic Segmentation of Histological Images of Mouse Brains. Algorithms 16(12): 553 (2023) - [j34]Mohammed Chekroun, Youssef Mourchid, Igor Bessières, Alain Lalande:
Deep Learning Based on EfficientNet for Multiorgan Segmentation of Thoracic Structures on a 0.35 T MR-Linac Radiation Therapy System. Algorithms 16(12): 564 (2023) - [j33]Leonardo Geronzi, Antonio Martinez, Michel Rochette, Kexin Yan, Aline Bel-Brunon, Pascal Haigron, Pierre Escrig, Jacques Tomasi, Morgan Daniel, Alain Lalande, Siyu Lin, Diana Marcela Marín Castrillón, Olivier Bouchot, Jean Porterie, Pier Paolo Valentini, Marco Evangelos Biancolini:
Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate. Comput. Biol. Medicine 162: 107052 (2023) - [j32]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
GANs for Medical Image Synthesis: An Empirical Study. J. Imaging 9(3): 69 (2023) - [j31]Armando Barrera-Naranjo, Diana Marcela Marín Castrillón, Thomas Decourselle, Siyu Lin, Sarah Leclerc, Marie-Catherine Morgant, Chloé Bernard, Shirley De Oliveira, Arnaud Boucher, Benoit Presles, Olivier Bouchot, Jean-Joseph Christophe, Alain Lalande:
Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets. J. Imaging 9(6): 123 (2023) - [j30]Tewodros Weldebirhan Arega, Stéphanie Bricq, François Le Grand, Alexis Jacquier, Alain Lalande, Fabrice Mériaudeau:
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer. Medical Image Anal. 86: 102773 (2023) - [j29]Maroua Mehri, Guillaume Calmon, Freddy Odille, Julien Oster, Alain Lalande:
A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging. Sensors 23(21): 8691 (2023) - [j28]Leonardo Geronzi, Aline Bel-Brunon, Antonio Martinez, Michel Rochette, Marco Sensale, Olivier Bouchot, Alain Lalande, Siyu Lin, Pier Paolo Valentini, Marco Evangelos Biancolini:
Calibration of the Mechanical Boundary Conditions for a Patient-Specific Thoracic Aorta Model Including the Heart Motion Effect. IEEE Trans. Biomed. Eng. 70(11): 3248-3259 (2023) - [c23]Cylia Ouadah, Azadeh Hadadi, Alain Lalande, Sarah Leclerc:
Comparison of CNN Fusion Strategies for Left Ventricle Segmentation from Multi-modal MRI. FIMH 2023: 265-273 - [p1]Ilkay Öksüz, Alain Lalande, Esther Puyol-Antón:
Quality Control. AI and Big Data in Cardiology 2023: 135-156 - 2022
- [j27]Christian Mata, Josep Munuera, Alain Lalande, Gilberto Ochoa-Ruiz, Raul Benitez:
MedicalSeg: A Medical GUI Application for Image Segmentation Management. Algorithms 15(6): 200 (2022) - [j26]Zhihao Chen, Alain Lalande, Michel Salomon, Thomas Decourselle, Thibaut Pommier, Abdul Qayyum, Jixi Shi, Gilles Perrot, Raphaël Couturier:
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI. Comput. Medical Imaging Graph. 95: 102014 (2022) - [j25]Abdul Qayyum, Alain Lalande, Fabrice Mériaudeau:
Effective multiscale deep learning model for COVID19 segmentation tasks: A further step towards helping radiologist. Neurocomputing 499: 63-80 (2022) - [j24]Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau:
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79: 102428 (2022) - 2021
- [j23]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? Algorithms 14(7): 212 (2021) - [j22]Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle, Thibault Leclercq, Alexandre Cochet, Alain Lalande:
Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks. Algorithms 14(8): 249 (2021) - [j21]Kibrom Berihu Girum, Gilles Créhange, Alain Lalande:
Learning With Context Feedback Loop for Robust Medical Image Segmentation. IEEE Trans. Medical Imaging 40(6): 1542-1554 (2021) - [c22]Diana Marín-Castrillón, Arnaud Boucher, Siyu Lin, Chloé Bernard, Marie-Catherine Morgant, Alexandre Cochet, Alain Lalande, Olivier Bouchot, Benoit Presles:
Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies. STACOM@MICCAI 2021: 3-11 - [e2]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] - [i16]Kibrom Berihu Girum, Gilles Créhange, Alain Lalande:
Learning With Context Feedback Loop for Robust Medical Image Segmentation. CoRR abs/2103.02844 (2021) - [i15]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
GANs for Medical Image Synthesis: An Empirical Study. CoRR abs/2105.05318 (2021) - [i14]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? CoRR abs/2107.11447 (2021) - [i13]Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau:
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR abs/2108.04016 (2021) - 2020
- [j20]Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Alain Lalande:
Fast interactive medical image segmentation with weakly supervised deep learning method. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1437-1444 (2020) - [j19]Kibrom Berihu Girum, Alain Lalande, Raabid Hussain, Gilles Créhange:
A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1467-1476 (2020) - [j18]Raabid Hussain, Alain Lalande, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli:
Augmented reality for inner ear procedures: visualization of the cochlear central axis in microscopic videos. Int. J. Comput. Assist. Radiol. Surg. 15(10): 1703-1711 (2020) - [j17]Abdul Qayyum, Alain Lalande, Fabrice Mériaudeau:
Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging. Comput. Biol. Medicine 127: 104097 (2020) - [j16]Alain Lalande, Zhihao Chen, Thomas Decourselle, Abdul Qayyum, Thibaut Pommier, Luc Lorgis, Ezequiel de la Rosa, Alexandre Cochet, Yves Cottin, Dominique Ginhac, Michel Salomon, Raphaël Couturier, Fabrice Mériaudeau:
Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI. Data 5(4): 89 (2020) - [j15]Raabid Hussain, Alain Lalande, Caroline Guigou, Alexis Bozorg Grayeli:
Contribution of Augmented Reality to Minimally Invasive Computer-Assisted Cranial Base Surgery. IEEE J. Biomed. Health Informatics 24(7): 2093-2106 (2020) - [j14]Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac Segmentation With Strong Anatomical Guarantees. IEEE Trans. Medical Imaging 39(11): 3703-3713 (2020) - [c21]Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau:
A deep learning approach for the segmentation of myocardial diseases. ICPR 2020: 4544-4551 - [c20]Zhihao Chen, Alain Lalande, Michel Salomon, Thomas Decourselle, Thibaut Pommier, Gilles Perrot, Raphaël Couturier:
Myocardial Infarction Segmentation From Late Gadolinium Enhancement MRI By Neural Networks and Prior Information. IJCNN 2020: 1-8 - [c19]Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau:
A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases. IPTA 2020: 1-6 - [c18]Axel Aguerreberry, Ezequiel de la Rosa, Alain Lalande, Elmer Fernandez:
Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning. M&Ms and EMIDEC/STACOM@MICCAI 2020: 166-174 - [c17]Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau:
Efficient 3D Deep Learning for Myocardial Diseases Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 359-368 - [c16]Kibrom Berihu Girum, Youssef Skandarani, Raabid Hussain, Alexis Bozorg Grayeli, Gilles Créhange, Alain Lalande:
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks. M&Ms and EMIDEC/STACOM@MICCAI 2020: 378-384 - [i12]Youssef Skandarani, Nathan Painchaud, Pierre-Marc Jodoin, Alain Lalande:
On the effectiveness of GAN generated cardiac MRIs for segmentation. CoRR abs/2005.09026 (2020) - [i11]Abdul Qayyum, Alain Lalande, Thomas Decourselle, Thibaut Pommier, Alexandre Cochet, Fabrice Mériaudeau:
Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model. CoRR abs/2005.13643 (2020) - [i10]Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac Segmentation with Strong Anatomical Guarantees. CoRR abs/2006.08825 (2020) - [i9]Axel Aguerreberry, Ezequiel de la Rosa, Alain Lalande, Elmer Fernandez:
Segmentation-free Estimation of Aortic Diameters from MRI Using Deep Learning. CoRR abs/2009.04507 (2020) - [i8]Kibrom Berihu Girum, Youssef Skandarani, Raabid Hussain, Alexis Bozorg Grayeli, Gilles Créhange, Alain Lalande:
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI using Deep Convolutional Networks. CoRR abs/2010.16198 (2020)
2010 – 2019
- 2019
- [j13]Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romaní, Domenec Puig:
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7: 130552-130565 (2019) - [j12]Clément Zotti, Zhiming Luo, Alain Lalande, Pierre-Marc Jodoin:
Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation. IEEE J. Biomed. Health Informatics 23(3): 1119-1128 (2019) - [c15]Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Paul Michael Walker, Alain Lalande:
Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy. AIRT@MICCAI 2019: 119-127 - [c14]Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac MRI Segmentation with Strong Anatomical Guarantees. MICCAI (2) 2019: 632-640 - [i7]Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle, Thibault Leclercq, Alexandre Cochet, Alain Lalande:
Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks. CoRR abs/1901.02911 (2019) - [i6]Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac MRI Segmentation with Strong Anatomical Guarantees. CoRR abs/1907.02865 (2019) - [i5]Raabid Hussain, Alain Lalande, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli:
3D landmark detection for augmented reality based otologic procedures. CoRR abs/1909.01647 (2019) - [i4]Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Paul Michael Walker, Alain Lalande:
Deep generative model-driven multimodal prostate segmentation in radiotherapy. CoRR abs/1910.10542 (2019) - 2018
- [j11]Johel Mitéran, Olivier Bouchot, Alexandre Cochet, Alain Lalande:
Automatic determination of aortic compliance based on MRI and adapted curvilinear detector. Biomed. Signal Process. Control. 40: 295-311 (2018) - [j10]Stéphanie Bricq, Hiliwi Leake Kidane, Jorge Zavala Bojorquez, Alexandra Oudot, Jean-Marc Vrigneaud, François Brunotte, Paul Michael Walker, Alexandre Cochet, Alain Lalande:
Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation. Medical Biol. Eng. Comput. 56(9): 1531-1539 (2018) - [j9]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 Jäger, 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) - [c13]Raabid Hussain, Alain Lalande, Roberto Marroquin, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli:
Real-Time Augmented Reality for Ear Surgery. MICCAI (4) 2018: 324-331 - [e1]Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair A. Young, Olivier Bernard:
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10663, Springer 2018, ISBN 978-3-319-75540-3 [contents] - 2017
- [j8]Benoit Tricot, Maxime Descoteaux, Matthieu Dumont, Frederic Chagnon, Luc Tremblay, André Carpentier, Olivier Lesur, Martin D. Lepage, Alain Lalande:
Improving the evaluation of cardiac function in rats at 7T with denoising filters: a comparison study. BMC Medical Imaging 17(1): 62:1-62:7 (2017) - [j7]Michaël Bernier, Pierre-Marc Jodoin, Olivier Humbert, Alain Lalande:
Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images. Comput. Medical Imaging Graph. 58: 1-12 (2017) - [j6]Fabrice Mairesse, Cédric Blanchard, Arnaud Boucher, Tadeusz Sliwa, Alain Lalande, Yvon Voisin:
Automatic measurement of the sinus of Valsalva by image analysis. Comput. Methods Programs Biomed. 148: 123-135 (2017) - [c12]Clément Zotti, Zhiming Luo, Olivier Humbert, Alain Lalande, Pierre-Marc Jodoin:
GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation. STACOM@MICCAI 2017: 73-81 - [i3]Nathanael L. Baisa, Stéphanie Bricq, Alain Lalande:
MRI-PET Registration with Automated Algorithm in Pre-clinical Studies. CoRR abs/1705.07062 (2017) - [i2]Clément Zotti, Zhiming Luo, Alain Lalande, Olivier Humbert, Pierre-Marc Jodoin:
Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation. CoRR abs/1705.08943 (2017) - [i1]Christian Mata, Alain Lalande, Paul Michael Walker, Arnau Oliver, Joan Martí:
Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI. CoRR abs/1708.08698 (2017) - 2015
- [j5]Pierre-Marc Jodoin, Fredy Pinheiro, Alexandra Oudot, Alain Lalande:
Left-Ventricle Segmentation of SPECT Images of Rats. IEEE Trans. Biomed. Eng. 62(9): 2260-2268 (2015) - [c11]Jorge Zavala Bojorquez, Stéphanie Bricq, Paul Michael Walker, Alain Lalande:
Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: A step towards generation of PET/MR attenuation map. ICIP 2015: 1185-1189 - 2014
- [c10]Stéphanie Jehan-Besson, Christophe Tilmant, Alain De Cesare, Alain Lalande, Alexandre Cochet, Jean Cousty, Jessica Lebenberg, Muriel Lefort, Patrick Clarysse, Régis Clouard, Laurent Najman, Laurent Sarry, Frédérique Frouin, Mireille Garreau:
A mutual reference shape based on information theory. ICIP 2014: 887-891 - 2013
- [c9]Cédric Blanchard, Tadeusz Sliwa, Alain Lalande, Olivier Bouchot, Yvon Voisin:
A new morphological tool to extract blood vessels in cross sectional MRI. Medical Imaging: Image Processing 2013: 86691R - 2012
- [j4]Anthony Adam Duquette, Pierre-Marc Jodoin, Olivier Bouchot, Alain Lalande:
3D segmentation of abdominal aorta from CT-scan and MR images. Comput. Medical Imaging Graph. 36(4): 294-303 (2012) - [j3]Marie Xavier, Alain Lalande, Paul Michael Walker, François Brunotte, Louis Legrand:
An Adapted Optical Flow Algorithm for Robust Quantification of Cardiac Wall Motion From Standard Cine-MR Examinations. IEEE Trans. Inf. Technol. Biomed. 16(5): 859-868 (2012) - [j2]Jessica Lebenberg, Irène Buvat, Alain Lalande, Patrick Clarysse, Christopher Casta, Alexandre Cochet, Constantin Constantinides, Jean Cousty, Alain De Cesare, Stéphanie Jehan-Besson, Muriel Lefort, Laurent Najman, Elodie Roullot, Laurent Sarry, Christophe Tilmant, Mireille Garreau, Frédérique Frouin:
Nonsupervised Ranking of Different Segmentation Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI Sequences. IEEE Trans. Medical Imaging 31(8): 1651-1660 (2012) - [c8]Philip Walter Mewes, Peter Rennert, Aleksandar Lj. Juloski, Alain Lalande, Elli Angelopoulou, Rainer Kuth, Joachim Hornegger:
Semantic and topological classification of images in magnetically guided capsule endoscopy. Medical Imaging: Computer-Aided Diagnosis 2012: 83151A - 2011
- [j1]Mathieu Collette, Alain Lalande, Serge Willoteaux, Georges Leftheriotis, Anne Humeau:
Measurement of the local aortic stiffness by a non-invasive bioelectrical impedance technique. Medical Biol. Eng. Comput. 49(4): 431-439 (2011) - [c7]Jessica Lebenberg, Irène Buvat, Mireille Garreau, Christopher Casta, Constantin Constantinides, Jean Cousty, Alexandre Cochet, Stéphanie Jehan-Besson, Christophe Tilmant, Muriel Lefort, Elodie Roullot, Laurent Najman, Laurent Sarry, Patrick Clarysse, Alain De Cesare, Alain Lalande, Frédérique Frouin:
Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences. EMBC 2011: 2663-2666 - [c6]Cédric Blanchard, Tadeusz Sliwa, Alain Lalande, Pauliah Mohan, Olivier Bouchot, Yvon Voisin:
Automatic evaluation of the Valsalva sinuses from cine-MRI. Medical Imaging: Image Processing 2011: 79620A - [c5]Rocío Cabrera Lozoya, Olivier Bouchot, Tadeusz Sliwa, Eric Steinmetz, Yvon Voisin, Alain Lalande:
A 4D Patient-Specific Modelling of the Thoracic Aorta from Cine-MR Images. SITIS 2011: 269-276 - [c4]Vanya V. Valindria, Marion Angue, Nicolas Vignon, Paul Michael Walker, Alexandre Cochet, Alain Lalande:
Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI. SITIS 2011: 277-283
2000 – 2009
- 2008
- [c3]Pierre-Marc Jodoin, Alain Lalande, Yvon Voisin, Olivier Bouchot, Eric Steinmetz:
Markovian method for 2D, 3D and 4D segmentation of MRI. ICIP 2008: 3012-3015 - 2001
- [c2]Elodie Desserée, Louis Legrand, Paul Michael Walker, Alain Lalande, François Brunotte:
Cardiac motion tracking using a deformable 2D-mesh modeling. ICIP (2) 2001: 869-872
1990 – 1999
- 1997
- [c1]Alain Lalande, Louis Legrand, Paul Michael Walker, Marie-Christine Jaulent, France Guy, Yves Cottin, François Brunotte:
Automatic detection of cardiac contours on MR images using fuzzy logic and dynamic programming. AMIA 1997
Coauthor Index
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