What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mathematical analysis
- Statistics
His main research concerns Artificial intelligence, Computer vision, Mathematical analysis, Active contour model and Image processing.
Allen Tannenbaum works in the field of Artificial intelligence, namely Image segmentation.
His research integrates issues of Edge detection, Robustness and Energy functional in his study of Image segmentation.
His Motion estimation, Image and Image resolution study, which is part of a larger body of work in Computer vision, is frequently linked to Flux, bridging the gap between disciplines.
His study in Mathematical analysis is interdisciplinary in nature, drawing from both Smoothing and Geometry, Curvature, Affine transformation.
Allen Tannenbaum has researched Active contour model in several fields, including Feature, Kalman filter, Particle filter, Computational geometry and Topology.
His most cited work include:
- Feedback Control Theory (2359 citations)
- Localizing Region-Based Active Contours (953 citations)
- Gradient flows and geometric active contour models (615 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Computer vision, Segmentation, Image segmentation and Pattern recognition.
Artificial intelligence and Algorithm are frequently intertwined in his study.
His works in Tracking, Eye tracking, Particle filter, Video tracking and Image registration are all subjects of inquiry into Computer vision.
His Pattern recognition research is mostly focused on the topic Shape analysis.
His study focuses on the intersection of Robustness and fields such as Mathematical optimization with connections in the field of Applied mathematics.
His Active contour model study frequently draws connections between related disciplines such as Edge detection.
He most often published in these fields:
- Artificial intelligence (36.87%)
- Computer vision (27.31%)
- Segmentation (16.69%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (36.87%)
- Applied mathematics (9.10%)
- Computational biology (3.64%)
In recent papers he was focusing on the following fields of study:
Allen Tannenbaum mostly deals with Artificial intelligence, Applied mathematics, Computational biology, Mass transport and Pattern recognition.
His work deals with themes such as Lung cancer and Computer vision, which intersect with Artificial intelligence.
His study on Applied mathematics also encompasses disciplines like
- Matrix that connect with fields like Mathematical analysis, Hessian matrix, Poisson's equation and Solver,
- Space which connect with Mixture model.
In his research on the topic of Pattern recognition, Lung cancer screening and Algorithm is strongly related with Feature.
His Robustness study incorporates themes from Mathematical optimization and Curvature, Ricci curvature.
His Segmentation and Image segmentation and Scale-space segmentation investigations all form part of his Segmentation research activities.
Between 2013 and 2021, his most popular works were:
- Graph Curvature for Differentiating Cancer Networks. (89 citations)
- Ricci curvature: An economic indicator for market fragility and systemic risk (69 citations)
- Perivascular spaces in the brain: anatomy, physiology and pathology (60 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Mathematical analysis
His primary areas of study are Curvature, Biological network, Matrix, Applied mathematics and Glymphatic system.
The study incorporates disciplines such as Exact solutions in general relativity, Gene regulatory network, Pure mathematics and Graph in addition to Curvature.
His studies in Biological network integrate themes in fields like Cancer drugs, Robustness, Anticancer drug, Network analysis and Robustness.
His Applied mathematics study also includes fields such as
- Interpolation which intersects with area such as Trace, Time series and Regularization,
- Space, which have a strong connection to Signal processing, Image processing, Feature, Salient and Mixture model.
Allen Tannenbaum undertakes interdisciplinary study in the fields of Deep brain stimulation and Artificial intelligence through his works.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Grading and Data mining.
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