Zobrazeno 1 - 10
of 6 278
pro vyhledávání: '"Matthews, A. M."'
Assessment of lesions and their longitudinal progression from brain magnetic resonance (MR) images plays a crucial role in diagnosing and monitoring multiple sclerosis (MS). Machine learning models have demonstrated a great potential for automated MS
Externí odkaz:
http://arxiv.org/abs/2410.01766
Autor:
Qiao, Mengyun, McGurk, Kathryn A, Wang, Shuo, Matthews, Paul M., Regan, Declan P O, Bai, Wenjia
Understanding the structure and motion of the heart is crucial for diagnosing and managing cardiovascular diseases, the leading cause of global death. There is wide variation in cardiac shape and motion patterns, that are influenced by demographic, a
Externí odkaz:
http://arxiv.org/abs/2409.13825
Doppler Tomography as a tool for characterising exoplanet atmospheres II: an analysis of HD 179949 b
Autor:
Matthews, S. M., Watson, C. A., de Mooij, E. J. W., Marsh, T. R., Brogi, M., Merritt, S. R., Smith, K. W., Steeghs, D.
High-resolution Doppler spectroscopy provides an avenue to study the atmosphere of both transiting and non-transiting planets. This powerful method has also yielded some of the most robust atmospheric detections to date. Currently, high-resolution Do
Externí odkaz:
http://arxiv.org/abs/2404.05652
Autor:
Matthews, A. M, Kelson, D. D., Newman, A. B., Camilo, F., Condon, J. J., Cotton, W. D., Dickinson, M., Jarrett, T. H., Lacy, M.
We present the initial sample of redshifts for 3,839 galaxies in the MeerKAT DEEP2 field -- the deepest $\sim$1.4\,GHz radio field yet observed. Using a spectrophotometric technique combining coarse optical spectra with broadband photometry, we obtai
Externí odkaz:
http://arxiv.org/abs/2310.17701
Autor:
Basaran, Berke Doga, Zhang, Weitong, Qiao, Mengyun, Kainz, Bernhard, Matthews, Paul M., Bai, Wenjia
Data augmentation has become a de facto component of deep learning-based medical image segmentation methods. Most data augmentation techniques used in medical imaging focus on spatial and intensity transformations to improve the diversity of training
Externí odkaz:
http://arxiv.org/abs/2308.09026
Autor:
Matthews, Brandon M., Dix, Cooper, Shemmer, Ohad, Brotherton, Michael S., Myers, Adam D., Andruchow, I., Brandt, W. N., Gallagher, S. C., Green, Richard, Lira, Paulina, McLane, Jacob N., Plotkin, Richard M., Richards, Gordon T., Runnoe, Jessie C., Schneider, Donald P., Strauss, Michael A.
Quasars at $z~{\gtrsim}~1$ most often have redshifts measured from rest-frame ultraviolet emission lines. One of the most common such lines, C IV ${\lambda}1549$, shows blueshifts up to ${\approx}~5000~\rm{km~s^{-1}}$, and in rare cases even higher.
Externí odkaz:
http://arxiv.org/abs/2304.09964
Autor:
Ha, Trung, Dix, Cooper, Matthews, Brandon M., Shemmer, Ohad, Brotherton, Michael S., Myers, Adam, Richards, Gordon T., Maithil, Jaya, Anderson, Scott F., Brandt, W. N., Diamond-Stanic, Aleksandar M., Fan, Xiaohui, Gallagher, Sarah C., Green, Richard F., Lira, Paulina, Luo, Bin, Netzer, Hagai, Plotkin, Richard, Runnoe, Jessie C., Schneider, Donald P., Strauss, Michael A., Trakhtenbrot, Benny, Wu, Jianfeng
Weak emission-line quasars (WLQs) are a subset of Type 1 quasars that exhibit extremely weak Ly$\alpha +$N V $\lambda$1240 and/or C IV $\lambda$1549 emission lines. We investigate the relationship between emission-line properties and accretion rate f
Externí odkaz:
http://arxiv.org/abs/2304.04783
Publikováno v:
Journal of Business & Industrial Marketing, 2023, Vol. 39, Issue 4, pp. 721-734.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JBIM-12-2022-0575
Autor:
Qiao, Mengyun, Basaran, Berke Doga, Qiu, Huaqi, Wang, Shuo, Guo, Yi, Wang, Yuanyuan, Matthews, Paul M., Rueckert, Daniel, Bai, Wenjia
Cardiovascular disease, the leading cause of death globally, is an age-related disease. Understanding the morphological and functional changes of the heart during ageing is a key scientific question, the answer to which will help us define important
Externí odkaz:
http://arxiv.org/abs/2208.13146
Understanding the intensity characteristics of brain lesions is key for defining image-based biomarkers in neurological studies and for predicting disease burden and outcome. In this work, we present a novel foreground-based generative method for mod
Externí odkaz:
http://arxiv.org/abs/2208.02135