Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Luoluo Liu"'
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb1dc5bef332c68b72985b207b5973dc
https://doi.org/10.22489/cinc.2022.309
https://doi.org/10.22489/cinc.2022.309
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
In the hospital setting, a small percentage of recurrent frequent patients contribute to a disproportional amount of healthcare resource utilization. Moreover, in many of these cases, patient outcomes can be greatly improved by reducing re-occurring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11aa368e8a24001e5282f95ede433a64
https://pubmed.ncbi.nlm.nih.gov/36086533
https://pubmed.ncbi.nlm.nih.gov/36086533
Autor:
Gouthamaan Manimaran, Urmila Airsang, Soumabha Bhowmick, Abhijith Girin, Luoluo Liu, Carol Lane, Dheepak S, Celine Firtion, Pallavi Vajinepalli, Kumar Thirunellai Rajamani
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Good quality (annotated) data is one of the most important aspects of supervised deep learning. Tasks such as semantic segmentation have a huge data requirement in exchange for only satisfactory performance. Large-scale annotations spread across mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6afe4f14dc7d8afc15f2c909019acd8
https://pubmed.ncbi.nlm.nih.gov/36086468
https://pubmed.ncbi.nlm.nih.gov/36086468
Publikováno v:
ISIT
Classical sparse regression based on ${\ell _1}$ minimization solves the least squares problem with all available measurements via sparsity-promoting regularization. In challenging practical applications with high levels of noise and missing or adver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4ae39b3210e2a7dae7ac9f789898248
https://doi.org/10.1109/isit.2019.8849654
https://doi.org/10.1109/isit.2019.8849654
Publikováno v:
CISS
Bagging, a powerful ensemble method from machine learning, has shown the ability to improve the performance of unstable predictors in difficult practical settings. Although Bagging is most well-known for its application in classification problems, he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d67a35b36000c42ffbb7eff363353184
https://doi.org/10.1109/ciss.2019.8692865
https://doi.org/10.1109/ciss.2019.8692865
Autor:
Luoluo Liu, Peter S. Chin, Arun Asokan Nair, Muyinatu A. Lediju Bell, Akshay Rangamani, Trac D. Tran
Publikováno v:
GlobalSIP
Conventional image discrimination tasks are performed on fully observed images. In challenging real imaging scenarios, where sensing systems are energy demanding or need to operate with limited bandwidth and exposure-time budgets, or defective pixels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cfb0a2c239e77882eff2ac3ec051fdd
https://doi.org/10.1109/globalsip.2018.8646498
https://doi.org/10.1109/globalsip.2018.8646498
Publikováno v:
GlobalSIP
We develop a Compressive Sensing (CS) imaging system that uses titled reflective sub-apertures placed at random angles to create replicates of random placement and orientation within the image plane and a variation adopting the beam splitter. We deri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fef7ce853d9dbfddb5677efa51c86d80
https://doi.org/10.1109/globalsip.2016.7905821
https://doi.org/10.1109/globalsip.2016.7905821
Publikováno v:
Optics Express. 27:36329
The three-dimensional volumetric imaging capability of optical coherence tomography (OCT) leads to the generation of large amounts of data, which necessitates high speed acquisition followed by high dimensional image processing and visualization. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dde2a28789701b651fcda8aba26b230
https://doi.org/10.1364/oe.27.036329
https://doi.org/10.1364/oe.27.036329
Publikováno v:
Medical Imaging: Image Processing
Automatic thalamus segmentation is useful to track changes in thalamic volume over time. In this work, we introduce a task-driven dictionary learning framework to find the optimal dictionary given a set of eleven features obtained from T1-weighted MR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3043a11ad2c26b703b4094f4f96ac647
https://pubmed.ncbi.nlm.nih.gov/27601772
https://pubmed.ncbi.nlm.nih.gov/27601772
Publikováno v:
ICASSP
Partial face recognition is a problem that often arises in practical settings and applications. We propose a sparse representation-based algorithm forthis problem. Ourmethod firstly trains a dictionary and the classifier parameters in a supervised di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26232ec8cbcf2927a75f33eae33ac9e7
https://doi.org/10.1109/icassp.2016.7472105
https://doi.org/10.1109/icassp.2016.7472105