Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Medical image registration: a review
This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …
used in the medical field. The aim of this paper is to be an introduction to the field, provide …
Deep learning methods for identification of white matter Fiber tracts: review of state-of-the-art and future prospective
Quantitative analysis of white matter fiber tracts from diffusion Magnetic Resonance Imaging
(dMRI) data is of great significance in health and disease. For example, analysis of fiber …
(dMRI) data is of great significance in health and disease. For example, analysis of fiber …
Unbiased groupwise registration of white matter tractography
We present what we believe to be the first investigation into unbiased multi-subject
registration of whole brain diffusion tractography of the white matter. To our knowledge, this …
registration of whole brain diffusion tractography of the white matter. To our knowledge, this …
Multitemporal very high resolution from space: Outcome of the 2016 IEEE GRSS data fusion contest
In this paper, the scientific outcomes of the 2016 Data Fusion Contest organized by the
Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote …
Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote …
Robust and efficient linear registration of white-matter fascicles in the space of streamlines
The neuroscientific community today is very much interested in analyzing specific white
matter bundles like the arcuate fasciculus, the corticospinal tract, or the recently discovered …
matter bundles like the arcuate fasciculus, the corticospinal tract, or the recently discovered …
[HTML][HTML] Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation
Virtual delineation of white matter bundles in the human brain is of paramount importance
for multiple applications, such as pre-surgical planning and connectomics. A substantial …
for multiple applications, such as pre-surgical planning and connectomics. A substantial …
Image registration: Maximum likelihood, minimum entropy and deep learning
In this work, we propose a theoretical framework based on maximum profile likelihood for
pairwise and groupwise registration. By an asymptotic analysis, we demonstrate that …
pairwise and groupwise registration. By an asymptotic analysis, we demonstrate that …