Automatic detection of cardiac contours on MR images using fuzzy logic and dynamic programming. - Alain Lalande; Louis Legrand; Paul Michael Walker; Marie-Christine Jaulent; France Guy; Yves Cottin; François Brunotte (AMIA, 1997)

Cardiac motion tracking using a deformable 2D-mesh modeling. - Elodie Desserée; Louis Legrand; Paul Michael Walker; Alain Lalande; François Brunotte (ICIP (2), 2001)

Markovian method for 2D, 3D and 4D segmentation of MRI. - Pierre-Marc Jodoin; Alain Lalande; Yvon Voisin; Olivier Bouchot; Eric Steinmetz (ICIP, 2008)

Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences. - 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; et al. (EMBC, 2011)

Automatic evaluation of the Valsalva sinuses from cine-MRI. - Cédric Blanchard; Tadeusz Sliwa; Alain Lalande; Pauliah Mohan; Olivier Bouchot; Yvon Voisin (Image Processing, 2011)

A 4D Patient-Specific Modelling of the Thoracic Aorta from Cine-MR Images. - Rocío Cabrera Lozoya; Olivier Bouchot; Tadeusz Sliwa; Eric Steinmetz; Yvon Voisin; Alain Lalande (SITIS, 2011)

Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI. - Vanya V. Valindria; Marion Angue; Nicolas Vignon; Paul Michael Walker; Alexandre Cochet; Alain Lalande (SITIS, 2011)

Measurement of the local aortic stiffness by a non-invasive bioelectrical impedance technique. - Mathieu Collette; Alain Lalande; Serge Willoteaux; Georges Leftheriotis; Anne Humeau (Medical Biol. Eng. Comput., 2011)

Semantic and topological classification of images in magnetically guided capsule endoscopy. - Philip Walter Mewes; Peter Rennert; Aleksandar Lj. Juloski; Alain Lalande; Elli Angelopoulou; Rainer Kuth; Joachim Hornegger (Computer-Aided Diagnosis, 2012)

3D segmentation of abdominal aorta from CT-scan and MR images. - Anthony Adam Duquette; Pierre-Marc Jodoin; Olivier Bouchot; Alain Lalande (Comput. Medical Imaging Graph., 2012)

An Adapted Optical Flow Algorithm for Robust Quantification of Cardiac Wall Motion From Standard Cine-MR Examinations. - Marie Xavier; Alain Lalande; Paul Michael Walker; François Brunotte; Louis Legrand (IEEE Trans. Inf. Technol. Biomed., 2012)

Nonsupervised Ranking of Different Segmentation Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI Sequences. - 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; et al. (IEEE Trans. Medical Imaging, 2012)

A new morphological tool to extract blood vessels in cross sectional MRI. - Cédric Blanchard; Tadeusz Sliwa; Alain Lalande; Olivier Bouchot; Yvon Voisin (Image Processing, 2013)

A mutual reference shape based on information theory. - 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; et al. (ICIP, 2014)

Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: A step towards generation of PET/MR attenuation map. - Jorge Zavala Bojorquez; Stéphanie Bricq; Paul Michael Walker; Alain Lalande (ICIP, 2015)

Left-Ventricle Segmentation of SPECT Images of Rats. - Pierre-Marc Jodoin; Fredy Pinheiro; Alexandra Oudot; Alain Lalande (IEEE Trans. Biomed. Eng., 2015)

GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation. - Clément Zotti; Zhiming Luo; Olivier Humbert; Alain Lalande; Pierre-Marc Jodoin (STACOM@MICCAI, 2017)

Improving the evaluation of cardiac function in rats at 7T with denoising filters: a comparison study. - Benoit Tricot; Maxime Descoteaux; Matthieu Dumont; Frederic Chagnon; Luc Tremblay; André Carpentier; Olivier Lesur; Martin D. Lepage; Alain Lalande (BMC Medical Imaging, 2017)

Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images. - Michaël Bernier; Pierre-Marc Jodoin; Olivier Humbert; Alain Lalande (Comput. Medical Imaging Graph., 2017)

Automatic measurement of the sinus of Valsalva by image analysis. - Fabrice Mairesse; Cédric Blanchard; Arnaud Boucher; Tadeusz Sliwa; Alain Lalande; Yvon Voisin (Comput. Methods Programs Biomed., 2017)

MRI-PET Registration with Automated Algorithm in Pre-clinical Studies. - Nathanael L. Baisa; Stéphanie Bricq; Alain Lalande (CoRR, 2017)

Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation. - Clément Zotti; Zhiming Luo; Alain Lalande; Olivier Humbert; Pierre-Marc Jodoin (CoRR, 2017)

Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI. - Christian Mata; Alain Lalande; Paul Michael Walker; Arnau Oliver; Joan Martí (CoRR, 2017)

Real-Time Augmented Reality for Ear Surgery. - Raabid Hussain; Alain Lalande; Roberto Marroquin; Kibrom Berihu Girum; Caroline Guigou; Alexis Bozorg Grayeli (MICCAI (4), 2018)

Automatic determination of aortic compliance based on MRI and adapted curvilinear detector. - Johel Mitéran; Olivier Bouchot; Alexandre Cochet; Alain Lalande (Biomed. Signal Process. Control., 2018)

Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation. - Stéphanie Bricq; Hiliwi Leake Kidane; Jorge Zavala Bojorquez; Alexandra Oudot; Jean-Marc Vrigneaud; François Brunotte; Paul Michael Walker; Alexandre Cochet; Alain Lalande (Medical Biol. Eng. Comput., 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy. - Kibrom Berihu Girum; Gilles Créhange; Raabid Hussain; Paul Michael Walker; Alain Lalande (AIRT@MICCAI, 2019)

Cardiac MRI Segmentation with Strong Anatomical Guarantees. - Nathan Painchaud; Youssef Skandarani; Thierry Judge; Olivier Bernard 001; Alain Lalande; Pierre-Marc Jodoin (MICCAI (2), 2019)

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Alain Lalande; Benoit Presles; Santiago Romaní; Domenec Puig (IEEE Access, 2019)

3D landmark detection for augmented reality based otologic procedures. - Raabid Hussain; Alain Lalande; Kibrom Berihu Girum; Caroline Guigou; Alexis Bozorg Grayeli (CoRR, 2019)

Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation. - Clément Zotti; Zhiming Luo; Alain Lalande; Pierre-Marc Jodoin (IEEE J. Biomed. Health Informatics, 2019)

A deep learning approach for the segmentation of myocardial diseases. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (ICPR, 2020)

Myocardial Infarction Segmentation From Late Gadolinium Enhancement MRI By Neural Networks and Prior Information. - Zhihao Chen 005; Alain Lalande; Michel Salomon; Thomas Decourselle; Thibaut Pommier; Gilles Perrot; Raphaël Couturier (IJCNN, 2020)

A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (IPTA, 2020)

Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning. - Axel Aguerreberry; Ezequiel de la Rosa; Alain Lalande; Elmer Fernandez (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Efficient 3D Deep Learning for Myocardial Diseases Segmentation. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks. - Kibrom Berihu Girum; Youssef Skandarani; Raabid Hussain; Alexis Bozorg Grayeli; Gilles Créhange; Alain Lalande (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Fast interactive medical image segmentation with weakly supervised deep learning method. - Kibrom Berihu Girum; Gilles Créhange; Raabid Hussain; Alain Lalande (Int. J. Comput. Assist. Radiol. Surg., 2020)

A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy. - Kibrom Berihu Girum; Alain Lalande; Raabid Hussain; Gilles Créhange (Int. J. Comput. Assist. Radiol. Surg., 2020)

Augmented reality for inner ear procedures: visualization of the cochlear central axis in microscopic videos. - Raabid Hussain; Alain Lalande; Kibrom Berihu Girum; Caroline Guigou; Alexis Bozorg Grayeli (Int. J. Comput. Assist. Radiol. Surg., 2020)

Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging. - Abdul Qayyum; Alain Lalande; Fabrice Mériaudeau (Comput. Biol. Medicine, 2020)

On the effectiveness of GAN generated cardiac MRIs for segmentation. - Youssef Skandarani; Nathan Painchaud; Pierre-Marc Jodoin; Alain Lalande (CoRR, 2020)

Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model. - Abdul Qayyum; Alain Lalande; Thomas Decourselle; Thibaut Pommier; Alexandre Cochet; Fabrice Mériaudeau (CoRR, 2020)

Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI. - Alain Lalande; Zhihao Chen 005; Thomas Decourselle; Abdul Qayyum; Thibaut Pommier; Luc Lorgis; Ezequiel de la Rosa; Alexandre Cochet; Yves Cottin; Dominique Ginhac; Michel Salomon; Raphaël Couturier; et al. (Data, 2020)

Contribution of Augmented Reality to Minimally Invasive Computer-Assisted Cranial Base Surgery. - Raabid Hussain; Alain Lalande; Caroline Guigou; Alexis Bozorg Grayeli (IEEE J. Biomed. Health Informatics, 2020)

Cardiac Segmentation With Strong Anatomical Guarantees. - Nathan Painchaud; Youssef Skandarani; Thierry Judge; Olivier Bernard 001; Alain Lalande; Pierre-Marc Jodoin (IEEE Trans. Medical Imaging, 2020)

Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies. - Diana Marín-Castrillón; Arnaud Boucher; Siyu Lin; Chloé Bernard; Marie-Catherine Morgant; Alexandre Cochet; Alain Lalande; Olivier Bouchot; Benoit Presles (STACOM@MICCAI, 2021)

Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks. - Ezequiel de la Rosa; Désiré Sidibé; Thomas Decourselle; Thibault Leclercq; Alexandre Cochet; Alain Lalande (Algorithms, 2021)

Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? - Youssef Skandarani; Pierre-Marc Jodoin; Alain Lalande (Algorithms, 2021)

Learning With Context Feedback Loop for Robust Medical Image Segmentation. - Kibrom Berihu Girum; Gilles Créhange; Alain Lalande (IEEE Trans. Medical Imaging, 2021)

MedicalSeg: A Medical GUI Application for Image Segmentation Management. - Christian Mata; Josep Munuera; Alain Lalande; Gilberto Ochoa-Ruiz; Raul Benitez (Algorithms, 2022)

Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI. - Zhihao Chen 005; Alain Lalande; Michel Salomon; Thomas Decourselle; Thibaut Pommier; Abdul Qayyum; Jixi Shi; Gilles Perrot; Raphaël Couturier (Comput. Medical Imaging Graph., 2022)

Effective multiscale deep learning model for COVID19 segmentation tasks: A further step towards helping radiologist. - Abdul Qayyum; Alain Lalande; Fabrice Mériaudeau (Neurocomputing, 2022)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

Quality Control. - Ilkay Öksüz; Alain Lalande; Esther Puyol-Antón (AI and Big Data in Cardiology, 2023)

Comparison of CNN Fusion Strategies for Left Ventricle Segmentation from Multi-modal MRI. - Cylia Ouadah; Azadeh Hadadi; Alain Lalande; Sarah Leclerc (FIMH, 2023)

Deep Learning Based on EfficientNet for Multiorgan Segmentation of Thoracic Structures on a 0.35 T MR-Linac Radiation Therapy System. - Mohammed Chekroun; Youssef Mourchid; Igor Bessières; Alain Lalande (Algorithms, 2023)

Automatic Segmentation of Histological Images of Mouse Brains. - Juan Cisneros; Alain Lalande; Binnaz Yalcin; Fabrice Mériaudeau; Stephan Collins (Algorithms, 2023)

Automatic Multiorgan Segmentation in Pelvic Region with Convolutional Neural Networks on 0.35 T MR-Linac Images. - Emmanouil Koutoulakis; Louis Marage; Emmanouil Markodimitrakis; Leone Aubignac; Catherine Jenny; Igor Bessières; Alain Lalande (Algorithms, 2023)

Automatic Myocardium Segmentation in Delayed-Enhancement MRI with Pathology-Specific Data Augmentation and Deep Learning Architectures. - Gonzalo E. Mosquera-Rojas; Cylia Ouadah; Azadeh Hadadi; Alain Lalande; Sarah Leclerc (Algorithms, 2023)

Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets. - 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; et al. (J. Imaging, 2023)

GANs for Medical Image Synthesis: An Empirical Study. - Youssef Skandarani; Pierre-Marc Jodoin; Alain Lalande (J. Imaging, 2023)

Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer. - Tewodros Weldebirhan Arega; Stéphanie Bricq; François Le Grand; Alexis Jacquier; Alain Lalande; Fabrice Mériaudeau (Medical Image Anal., 2023)

Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate. - 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; et al. (Comput. Biol. Medicine, 2023)

A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging. - Maroua Mehri; Guillaume Calmon; Freddy Odille; Julien Oster; Alain Lalande (Sensors, 2023)

Calibration of the Mechanical Boundary Conditions for a Patient-Specific Thoracic Aorta Model Including the Heart Motion Effect. - Leonardo Geronzi; Aline Bel-Brunon; Antonio Martinez; Michel Rochette; Marco Sensale; Olivier Bouchot; Alain Lalande; Siyu Lin; Pier Paolo Valentini; Marco Evangelos Biancolini (IEEE Trans. Biomed. Eng., 2023)

Effect of Data Augmentation on Deep-Learning-Based Segmentation of Long-Axis Cine-MRI. - François Le Grand; Richard Macwan; Alain Lalande; Lisa Métairie; Thomas Decourselle (Algorithms, 2024)

Automatic Classification of Nodules from 2D Ultrasound Images Using Deep Learning Networks. - Tewele W. Tareke; Sarah Leclerc; Catherine Vuillemin; Perrine Buffier; Elodie Crevisy; Amandine Nguyen; Marie-Paule Monnier Meteau; Pauline Legris; Serge Angiolini; Alain Lalande (J. Imaging, 2024)

Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype. - Yaqeen Ali; Johannes Gregori; Tewele W. Tareke; Alain Lalande; Fabrice Mériaudeau (CBMS, 2025)

Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation. - Tewele W. Tareke; Neree Payan; Alexandre Cochet; Laurent Arnould; Benoit Presles; Jean-Marc Vrigneaud; Fabrice Mériaudeau; Alain Lalande (CoRR, 2025)

UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift. - Antoine Schieb; Bilal Hadjadji; Daniel Tshokola Mweze; Natalia Fernanda Valderrama; Valentin Derangère; Laurent Arnould; Sylvain Ladoire; Alain Lalande; Louis-Oscar Morel; Nathan Vinçon (CoRR, 2025)