Zobrazeno 1 - 10
of 21
pro vyhledávání: '"92C55 (secondary)"'
Publikováno v:
27th Conference on Medical Image Understanding and Analysis 2023, Frontiers, 2023, pp. 30-39
Medical imaging is an essential tool for diagnosing and treating diseases. However, lacking medical images can lead to inaccurate diagnoses and ineffective treatments. Generative models offer a promising solution for addressing medical image shortage
Externí odkaz:
http://arxiv.org/abs/2401.00314
The log-transform is a common tool in statistical analysis, reducing the impact of extreme values, compressing the range of reported values for improved visualization, enabling the usage of parametric statistical tests requiring normally distributed
Externí odkaz:
http://arxiv.org/abs/2302.04780
Autor:
Luz, Saturnino, Haider, Fasih, Fromm, Davida, Lazarou, Ioulietta, Kompatsiaris, Ioannis, MacWhinney, Brian
This Signal Processing Grand Challenge (SPGC) targets a difficult automatic prediction problem of societal and medical relevance, namely, the detection of Alzheimer's Dementia (AD). Participants were invited to employ signal processing and machine le
Externí odkaz:
http://arxiv.org/abs/2301.05562
Autor:
Tudosiu, Petru-Daniel, Pinaya, Walter Hugo Lopez, Graham, Mark S., Borges, Pedro, Fernandez, Virginia, Yang, Dai, Appleyard, Jeremy, Novati, Guido, Mehra, Disha, Vella, Mike, Nachev, Parashkev, Ourselin, Sebastien, Cardoso, Jorge
Human anatomy, morphology, and associated diseases can be studied using medical imaging data. However, access to medical imaging data is restricted by governance and privacy concerns, data ownership, and the cost of acquisition, thus limiting our abi
Externí odkaz:
http://arxiv.org/abs/2209.03177
Autor:
Zhang, Xiaoxia, Duchemin, Quentin, Liu, Kangning, Flassbeck, Sebastian, Gultekin, Cem, Fernandez-Granda, Carlos, Assländer, Jakob
Neural networks are increasingly used to estimate parameters in quantitative MRI, in particular in magnetic resonance fingerprinting. Their advantages over the gold standard non-linear least square fitting are their superior speed and their immunity
Externí odkaz:
http://arxiv.org/abs/2109.10535
Autor:
Gomez, Alberto, Zimmer, Veronika A., Wheeler, Gavin, Toussaint, Nicolas, Deng, Shujie, Wright, Robert, Skelton, Emily, Matthew, Jackie, Kainz, Bernhard, Hajnal, Jo, Schnabel, Julia
We present PRETUS -a Plugin-based Real Time UltraSound software platform for live ultrasound image analysis and operator support. The software is lightweight; functionality is brought in via independent plug-ins that can be arranged in sequence. The
Externí odkaz:
http://arxiv.org/abs/2109.06519
Publikováno v:
P. Kovacs, S. Fridli, F. Schipp, Generalized Rational Variable Projection With Application in ECG Compression, IEEE Transactions on Signal Processing, vol. 68, pp. 478 - 492, 2020
In this paper we develop an adaptive transform-domain technique based on rational function systems. It is of general importance in several areas of signal theory, including filter design, transfer function approximation, system identification, contro
Externí odkaz:
http://arxiv.org/abs/2003.00058
Autor:
DeTurck, Dennis, Elsaify, Amora, Gluck, Herman, Grossmann, Benjamin, Hoisington, Joseph, Krishnan, Anusha M., Zhang, Jianru
Our goal here is to see the space of matrices of a given size from a geometric and topological perspective, with emphasis on the families of various ranks and how they fit together. We pay special attention to the nearest orthogonal neighbor and near
Externí odkaz:
http://arxiv.org/abs/1702.02131
Publikováno v:
Annals of Applied Probability 2009, Vol. 19, No. 1, 467-476
For independent $X$ and $Y$ in the inequality $P(X\leq Y+\mu)$, we give sharp lower bounds for unimodal distributions having finite variance, and sharp upper bounds assuming symmetric densities bounded by a finite constant. The lower bounds depend on
Externí odkaz:
http://arxiv.org/abs/0903.0518
Publikováno v:
Annals of Statistics 2008, Vol. 36, No. 6, 2886-2919
This article presents maximum likelihood estimators (MLEs) and log-likelihood ratio (LLR) tests for the eigenvalues and eigenvectors of Gaussian random symmetric matrices of arbitrary dimension, where the observations are independent repeated samples
Externí odkaz:
http://arxiv.org/abs/0901.3290