Rachid Deriche mainly focuses on Artificial intelligence, Computer vision, Algorithm, Mathematical optimization and Image segmentation. The various areas that Rachid Deriche examines in his Artificial intelligence study include Geodesic and Pattern recognition. His Computer vision research integrates issues from Diffusion MRI, Position and Level set.
His Diffusion MRI study combines topics from a wide range of disciplines, such as Orientation, Sampling, Angular resolution and Design of experiments. His Algorithm research includes elements of Smoothing, Real image, Partial differential equation and Image restoration. His Mathematical optimization research is multidisciplinary, relying on both Kullback–Leibler divergence, Tensor, Regularization, Tikhonov regularization and Divergence.
Rachid Deriche mostly deals with Artificial intelligence, Diffusion MRI, Algorithm, Computer vision and Pattern recognition. His study in Machine learning extends to Artificial intelligence with its themes. His biological study spans a wide range of topics, including Orientation, White matter, Mathematical analysis and Tensor.
The Algorithm study which covers Mathematical optimization that intersects with Basis. His research is interdisciplinary, bridging the disciplines of Kalman filter and Computer vision. His Pattern recognition research is multidisciplinary, incorporating elements of Inverse problem, Cortex, Cluster analysis and Human Connectome Project.
The scientist’s investigation covers issues in Diffusion MRI, Artificial intelligence, Pattern recognition, Algorithm and Tractography. His study in Diffusion MRI is interdisciplinary in nature, drawing from both White matter, Brain tissue, Electroencephalography, Invariant and Spherical harmonics. His Artificial intelligence study frequently links to related topics such as Signature.
His Pattern recognition research is multidisciplinary, incorporating perspectives in Fiber, Eeg inverse problem, Image, Human Connectome Project and Brain activity and meditation. In general Algorithm, his work in Regularization is often linked to Python linking many areas of study. He combines subjects such as Fractional anisotropy, Voxel, Connectome and False positive paradox with his study of Tractography.
Rachid Deriche mainly investigates Diffusion MRI, Algorithm, Synthetic data, Spherical harmonics and White matter. In his work, Invariant and Orientation is strongly intertwined with Mathematical analysis, which is a subfield of Diffusion MRI. His work on Regularization is typically connected to Rician fading as part of general Algorithm study, connecting several disciplines of science.
His Spherical harmonics research incorporates elements of Polarized light imaging, Optics and Unit sphere. His White matter study combines topics in areas such as Microstructure imaging, Artificial intelligence and Pattern recognition. His work on Segmentation as part of general Artificial intelligence study is frequently connected to Tumor growth, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
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.
A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry
Zhengyou Zhang;Rachid Deriche;Olivier Faugeras;Quang-Tuan Luong.
Artificial Intelligence (1995)
Using Canny's criteria to derive a recursively implemented optimal edge detector
International Journal of Computer Vision (1987)
Geodesic active contours and level sets for the detection and tracking of moving objects
N. Paragios;R. Deriche.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)
A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape
Daniel Cremers;Mikael Rousson;Rachid Deriche.
International Journal of Computer Vision (2007)
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
Nikos Paragios;Rachid Deriche.
International Journal of Computer Vision (2002)
Vector-valued image regularization with PDEs: a common framework for different applications
D. Tschumperle;R. Deriche.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)
Regularized, fast, and robust analytical Q-ball imaging
Maxime Descoteaux;Elaine Angelino;Shaun Fitzgibbons;Rachid Deriche.
Magnetic Resonance in Medicine (2007)
Fast algorithms for low-level vision
IEEE Transactions on Pattern Analysis and Machine Intelligence (1990)
Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions
M. Descoteaux;R. Deriche;T.R. Knosche;A. Anwander.
IEEE Transactions on Medical Imaging (2009)
Geodesic Active Regions
Nikos Paragios;Rachid Deriche.
Journal of Visual Communication and Image Representation (2002)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: