Alain Lalande

Orcid: 0000-0002-7970-366X

According to our database1, Alain Lalande authored at least 69 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Effect of Data Augmentation on Deep-Learning-Based Segmentation of Long-Axis Cine-MRI.
Algorithms, 2024

2023
Calibration of the Mechanical Boundary Conditions for a Patient-Specific Thoracic Aorta Model Including the Heart Motion Effect.
IEEE Trans. Biomed. Eng., November, 2023

A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging.
Sensors, October, 2023

Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate.
Comput. Biol. Medicine, August, 2023

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., May, 2023

GANs for Medical Image Synthesis: An Empirical Study.
J. Imaging, 2023

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

Automatic Myocardium Segmentation in Delayed-Enhancement MRI with Pathology-Specific Data Augmentation and Deep Learning Architectures.
Algorithms, 2023

Automatic Multiorgan Segmentation in Pelvic Region with Convolutional Neural Networks on 0.35 T MR-Linac Images.
Algorithms, 2023

Automatic Segmentation of Histological Images of Mouse Brains.
Algorithms, 2023

Deep Learning Based on EfficientNet for Multiorgan Segmentation of Thoracic Structures on a 0.35 T MR-Linac Radiation Therapy System.
Algorithms, 2023

Comparison of CNN Fusion Strategies for Left Ventricle Segmentation from Multi-modal MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

Quality Control.
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023

2022
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.
Medical Image Anal., 2022

Effective multiscale deep learning model for COVID19 segmentation tasks: A further step towards helping radiologist.
Neurocomputing, 2022

Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI.
Comput. Medical Imaging Graph., 2022

MedicalSeg: A Medical GUI Application for Image Segmentation Management.
Algorithms, 2022

2021
Learning With Context Feedback Loop for Robust Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.
CoRR, 2021

Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?
Algorithms, 2021

Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks.
Algorithms, 2021

Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

2020
Cardiac Segmentation With Strong Anatomical Guarantees.
IEEE Trans. Medical Imaging, 2020

Contribution of Augmented Reality to Minimally Invasive Computer-Assisted Cranial Base Surgery.
IEEE J. Biomed. Health Informatics, 2020

Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI.
Data, 2020

Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model.
CoRR, 2020

On the effectiveness of GAN generated cardiac MRIs for segmentation.
CoRR, 2020

Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging.
Comput. Biol. Medicine, 2020

Augmented reality for inner ear procedures: visualization of the cochlear central axis in microscopic videos.
Int. J. Comput. Assist. Radiol. Surg., 2020

A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy.
Int. J. Comput. Assist. Radiol. Surg., 2020

Fast interactive medical image segmentation with weakly supervised deep learning method.
Int. J. Comput. Assist. Radiol. Surg., 2020

Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Efficient 3D Deep Learning for Myocardial Diseases Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Myocardial Infarction Segmentation From Late Gadolinium Enhancement MRI By Neural Networks and Prior Information.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A deep learning approach for the segmentation of myocardial diseases.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.
IEEE J. Biomed. Health Informatics, 2019

3D landmark detection for augmented reality based otologic procedures.
CoRR, 2019

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention.
IEEE Access, 2019

Cardiac MRI Segmentation with Strong Anatomical Guarantees.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018

Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation.
Medical Biol. Eng. Comput., 2018

Automatic determination of aortic compliance based on MRI and adapted curvilinear detector.
Biomed. Signal Process. Control., 2018

Real-Time Augmented Reality for Ear Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI.
CoRR, 2017

Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation.
CoRR, 2017

MRI-PET Registration with Automated Algorithm in Pre-clinical Studies.
CoRR, 2017

Automatic measurement of the sinus of Valsalva by image analysis.
Comput. Methods Programs Biomed., 2017

Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images.
Comput. Medical Imaging Graph., 2017

Improving the evaluation of cardiac function in rats at 7T with denoising filters: a comparison study.
BMC Medical Imaging, 2017

GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

2015
Left-Ventricle Segmentation of SPECT Images of Rats.
IEEE Trans. Biomed. Eng., 2015

Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: A step towards generation of PET/MR attenuation map.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
A mutual reference shape based on information theory.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
A new morphological tool to extract blood vessels in cross sectional MRI.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

2012
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, 2012

An Adapted Optical Flow Algorithm for Robust Quantification of Cardiac Wall Motion From Standard Cine-MR Examinations.
IEEE Trans. Inf. Technol. Biomed., 2012

3D segmentation of abdominal aorta from CT-scan and MR images.
Comput. Medical Imaging Graph., 2012

Semantic and topological classification of images in magnetically guided capsule endoscopy.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011
Measurement of the local aortic stiffness by a non-invasive bioelectrical impedance technique.
Medical Biol. Eng. Comput., 2011

Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI.
Proceedings of the Seventh International Conference on Signal-Image Technology and Internet-Based Systems, 2011

A 4D Patient-Specific Modelling of the Thoracic Aorta from Cine-MR Images.
Proceedings of the Seventh International Conference on Signal-Image Technology and Internet-Based Systems, 2011

Automatic evaluation of the Valsalva sinuses from cine-MRI.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2008
Markovian method for 2D, 3D and 4D segmentation of MRI.
Proceedings of the International Conference on Image Processing, 2008

2001
Cardiac motion tracking using a deformable 2D-mesh modeling.
Proceedings of the 2001 International Conference on Image Processing, 2001

1997
Automatic detection of cardiac contours on MR images using fuzzy logic and dynamic programming.
Proceedings of the AMIA 1997, 1997


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