Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Remco Duits"'
Publikováno v:
Entropy, Vol 21, Iss 1, p 38 (2019)
Fokker–Planck PDEs (including diffusions) for stable Lévy processes (including Wiener processes) on the joint space of positions and orientations play a major role in mechanics, robotics, image analysis, directional statistics and probability theo
Externí odkaz:
https://doaj.org/article/f480df44cace4f908683899c351cef93
Autor:
Chantal M W Tax, Remco Duits, Anna Vilanova, Bart M ter Haar Romeny, Paul Hofman, Louis Wagner, Alexander Leemans, Pauly Ossenblok
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e101524 (2014)
Diffusion MRI and tractography allow for investigation of the architectural configuration of white matter in vivo, offering new avenues for applications like presurgical planning. Despite the promising outlook, there are many pitfalls that complicate
Externí odkaz:
https://doaj.org/article/298a348124a34223b626e966c9b579f8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fd1b1d66e7459c28aca7baf4dd21e3f
https://doi.org/10.1007/978-3-031-31975-4_41
https://doi.org/10.1007/978-3-031-31975-4_41
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5177d0272a54e9a781a4fd0f5a78726
https://doi.org/10.1007/978-3-031-31975-4_40
https://doi.org/10.1007/978-3-031-31975-4_40
Autor:
Remco Duits, Biyuan Wang, Aiwen Zheng, Tao Tan, Farhad Ghazvinian Zanjani, Yuji Qi, Bingbin Yu, Zheren Li, Jie Xing
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18(6), 2555-2565. Institute of Electrical and Electronics Engineers
Breast cancer is the most common invasive cancer with the highest cancer occurrence in females. Handheld ultrasound is one of the most efficient ways to identify and diagnose the breast cancer. The area and the shape information of a lesion is very h
Publikováno v:
Medical Image Analysis, 68:101849. Elsevier
Rotation-invariance is a desired property of machine-learning models for medical image analysis and in particular for computational pathology applications. We propose a framework to encode the geometric structure of the special Euclidean motion group
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6901d5f07b5d1e5ea0779894587ce07
http://arxiv.org/abs/2002.08725
http://arxiv.org/abs/2002.08725
Publikováno v:
arXiv.org, e-Print Archive, Mathematics, 2020:2001.09046
Journal of Mathematical Imaging and Vision, 65(1), 209-239. Springer
Pure TUe
Journal of Mathematical Imaging and Vision, 65(1), 209-239. Springer
Pure TUe
We present a PDE-based framework that generalizes Group equivariant Convolutional Neural Networks (G-CNNs). In this framework, a network layer is seen as a set of PDE-solvers where geometrically meaningful PDE-coefficients become the layer's trainabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ec51bc34e043b7f61ffa4802ec13ecb
http://arxiv.org/abs/2001.09046
http://arxiv.org/abs/2001.09046
Publikováno v:
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision, Springer Verlag, 2018
Journal of Mathematical Imaging and Vision, 60(6), 816-848. Springer
Journal of Mathematical Imaging and Vision, Springer Verlag, 2018
Journal of Mathematical Imaging and Vision, 60(6), 816-848. Springer
We present a PDE-based approach for finding optimal paths for the Reeds–Shepp car. In our model we minimize a (data-driven) functional involving both curvature and length penalization, with several generalizations. Our approach encompasses the two-
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(2):7864477, 452-466. IEEE Computer Society
We propose a template matching method for the detection of 2D image objects that are characterized by orientation patterns. Our method is based on data representations via orientation scores, which are functions on the space of positions and orientat
Autor:
Anna Vilanova, Stephan Meesters, Pauly Ossenblok, Paul Boon, L. Wagner, Olaf E. M. G. Schijns, Remco Duits, Luc Florack
Publikováno v:
Journal of Neuroscience Methods, 288, 34-44. Elsevier
Journal of Neuroscience Methods, 288
JOURNAL OF NEUROSCIENCE METHODS
ISMRM 25th Annual Meeting & Exhibition, 22-27 April 2017, Honolulu, Hawaii
Journal of Neuroscience Methods
Journal of Neuroscience Methods, 288, 34-44. Elsevier Science
Journal of Neuroscience Methods, 288
JOURNAL OF NEUROSCIENCE METHODS
ISMRM 25th Annual Meeting & Exhibition, 22-27 April 2017, Honolulu, Hawaii
Journal of Neuroscience Methods
Journal of Neuroscience Methods, 288, 34-44. Elsevier Science
Highlights • The alignment of streamlines is quantified by fiber-to-bundle coherence measures. • Reliable ML-TP distance measurement by removal of spurious (deviating) streamlines. • Parameter estimation to remove spurious streamlines and to re