What is he best known for?
The fields of study Maxime Sermesant is best known for:
- Heart failure
- Statistics
- Myocardial infarction
His Artificial intelligence study frequently draws connections to other fields, such as Pattern recognition (psychology).
His Pattern recognition (psychology) study frequently draws connections to other fields, such as Artificial intelligence.
His study on Cardiology is mostly dedicated to connecting different topics, such as Ventricular tachycardia.
Maxime Sermesant undertakes interdisciplinary study in the fields of Ventricular tachycardia and Catheter ablation through his works.
He undertakes multidisciplinary investigations into Computer vision and Algorithm in his work.
Maxime Sermesant integrates many fields in his works, including Algorithm and Computer vision.
His research on Internal medicine frequently connects to adjacent areas such as Ablation.
Ablation is frequently linked to Catheter ablation in his study.
He combines topics linked to Image registration with his work on Image (mathematics).
His most cited work include:
- Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation (316 citations)
- Inverse Relationship Between Fractionated Electrograms and Atrial Fibrosis in Persistent Atrial Fibrillation (192 citations)
- Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation (184 citations)
What are the main themes of his work throughout his whole career to date
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Pattern recognition (psychology), Image (mathematics) and Segmentation.
Image (mathematics) and Computer vision are frequently intertwined in his study.
Maxime Sermesant undertakes multidisciplinary studies into Computer vision and Algorithm in his work.
Maxime Sermesant undertakes multidisciplinary studies into Algorithm and Artificial intelligence in his work.
His Cardiology study frequently links to related topics such as Ablation.
His Ablation study often links to related topics such as Cardiology.
His research is interdisciplinary, bridging the disciplines of Ventricular tachycardia and Internal medicine.
His Ventricular tachycardia study frequently links to adjacent areas such as Internal medicine.
His Electrophysiology study frequently links to related topics such as Cardiac electrophysiology.
Maxime Sermesant most often published in these fields:
- Artificial intelligence (67.77%)
- Cardiology (47.93%)
- Internal medicine (41.32%)
What were the highlights of his more recent work (between 2018-2021)?
- Cardiology (50.00%)
- Artificial intelligence (50.00%)
- Internal medicine (35.71%)
In recent works Maxime Sermesant was focusing on the following fields of study:
Maxime Sermesant is involved in relevant fields of research such as Tensor (intrinsic definition) and Orientation (vector space) in the field of Geometry.
Orientation (vector space) is closely attributed to Geometry in his study.
His Ventricle research encompasses a variety of disciplines, including Interventricular septum and Ventricular outflow tract.
Maxime Sermesant integrates Ventricular outflow tract with Ventricle in his study.
Cardiology is closely attributed to Tachycardia in his research.
As part of his studies on Artificial intelligence, he often connects relevant areas like Subspace topology.
His Internal medicine study frequently links to other fields, such as Strain (injury).
His Strain (injury) study frequently links to other fields, such as Internal medicine.
His Computed tomography research extends to the thematically linked field of Radiology.
Between 2018 and 2021, his most popular works were:
- A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging (79 citations)
- A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts (60 citations)
- Applications of artificial intelligence in cardiovascular imaging (44 citations)
In his most recent research, the most cited works focused on:
- Inflow
- Outflow
- Tachycardia
Interventricular septum and Ventricular outflow tract are fields of study that intersect with his Ventricle research.
Maxime Sermesant performs multidisciplinary studies into Ventricular outflow tract and Ventricle in his work.
Cardiology is closely attributed to Endocardium in his study.
Internal medicine and Tachycardia are commonly linked in his work.
The study of Tachycardia is intertwined with the study of Internal medicine in a number of ways.
Radiology is frequently linked to Computed tomography in his study.
Computed tomography is closely attributed to Radiology in his study.
While working in this field, Maxime Sermesant studies both Artificial intelligence and Algorithm.
Maxime Sermesant conducts interdisciplinary study in the fields of Algorithm and Artificial intelligence through his works.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
