Name
Affiliation
Papers
ALAIN LALANDE
Groupe Imagerie Médicale, LE2I, UMR CNRS 5158, Faculté de Médecine, Université de Bourgogne, 7  Bld Jeanne d’Arc, 21079 Dijon, France
36
Collaborators
Citations 
PageRank 
136
101
15.31
Referers 
Referees 
References 
507
571
163
Search Limit
100571
Title
Citations
PageRank
Year
Learning with Context Feedback Loop for Robust Medical Image Segmentation.10.352021
Contribution of Augmented Reality to Minimally Invasive Computer-Assisted Cranial Base Surgery.10.352020
Segmentation-free Estimation of Aortic Diameters from MRI Using Deep Learning00.342020
Automatic Segmentation Of Tumors And Affected Organs In The Abdomen Using A 3d Hybrid Model For Computed Tomography Imaging20.362020
A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases00.342020
Augmented Reality For Inner Ear Procedures: Visualization Of The Cochlear Central Axis In Microscopic Videos00.342020
A Deep Learning Method For Real-Time Intraoperative Us Image Segmentation In Prostate Brachytherapy00.342020
Fast Interactive Medical Image Segmentation With Weakly Supervised Deep Learning Method00.342020
A Deep Learning Approach For The Segmentation Of Myocardial Diseases00.342020
Cardiac Segmentation With Strong Anatomical Guarantees40.432020
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI using Deep Convolutional Networks00.342020
Cardiac MRI Segmentation with Strong Anatomical Guarantees.10.352019
Myocardial Infarction Quantification From Late Gadolinium Enhancement Mri Using Top-Hat Transforms And Neural Networks00.342019
Convolutional Neural Network with Shape Prior Applied to Cardiac MRI Segmentation.50.442019
Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy.00.342019
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?421.412018
Automatic determination of aortic compliance based on MRI and adapted curvilinear detector.00.342018
Real-Time Augmented Reality for Ear Surgery.00.342018
Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation.00.342018
Improving the evaluation of cardiac function in rats at 7T with denoising filters: a comparison study.10.352017
MRI-PET Registration with Automated Algorithm in Pre-clinical Studies.10.362017
Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images.10.362017
Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI.00.342017
Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation.10.352017
GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation.60.462017
Automatic measurement of the sinus of Valsalva by image analysis.00.342017
Left-Ventricle Segmentation of SPECT Images of Rats10.342015
A mutual reference shape based on information theory00.342014
A new morphological tool to extract blood vessels in cross sectional MRI00.342013
Nonsupervised Ranking of Different Segmentation Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI Sequences50.942012
An adapted optical flow algorithm for robust quantification of cardiac wall motion from standard cine-MR examinations.70.632012
3D segmentation of abdominal aorta from CT-scan and MR images.130.712012
Semantic and topological classification of images in magnetically guided capsule endoscopy30.412012
A 4D Patient-Specific Modelling of the Thoracic Aorta from Cine-MR Images00.342011
Measurement of the local aortic stiffness by a non-invasive bioelectrical impedance technique.10.382011
Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI50.572011