Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Raja Bala"'
Publikováno v:
IEEE Transactions on Image Processing. 31:1271-1284
Deep learning has enabled significant improvements in the accuracy of 3D blood vessel segmentation. Open challenges remain in scenarios where labeled 3D segmentation maps for training are severely limited, as is often the case in practice, and in ens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61b6f6c2303a952cfcbd60821f61a637
https://doi.org/10.1109/tip.2021.3139241
https://doi.org/10.1109/tip.2021.3139241
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09073866ee420ed9d88d104f215c0a61
https://doi.org/10.1109/icassp43922.2022.9747782
https://doi.org/10.1109/icassp43922.2022.9747782
Publikováno v:
IEEE Transactions on Image Processing. 29:2552-2567
Vessel segmentation of retinal images is a key diagnostic capability in ophthalmology. This problem faces several challenges including low contrast, variable vessel size and thickness, and presence of interfering pathology such as micro-aneurysms and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9c869419e9bea6e4c62466b3e904d66
https://doi.org/10.1109/tip.2019.2946078
https://doi.org/10.1109/tip.2019.2946078
Autor:
Nataniel Ruiz, Miriam Bellver, Timo Bolkart, Ambuj Arora, Ming C. Lin, Javier Romero, Raja Bala
We present a Body Measurement network (BMnet) for estimating 3D anthropomorphic measurements of the human body shape from silhouette images. Training of BMnet is performed on data from real human subjects, and augmented with a novel adversarial body
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c14b01c8c9ec2290561dea792ff764f7
Publikováno v:
CVPR
While the quality of GAN image synthesis has improved tremendously in recent years, our ability to control and condition the output is still limited. Focusing on StyleGAN, we introduce a simple and effective method for making local, semantically-awar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acd7dd35a7f662bbbbfecc2cdac6b4d7
Autor:
Bob Price, Svyatoslav Korneev, Adrian Lew, Christoforos Somarakis, Raja Bala, Jonathan (Shengtai) Ju
Publikováno v:
Electronic Imaging. 34:306-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::160130ac400ec424c11adfcfe8c2107a
https://doi.org/10.2352/ei.2022.34.14.coimg-306
https://doi.org/10.2352/ei.2022.34.14.coimg-306
Autor:
Sriganesh Madhvanath, Edgar A. Bernal, Xitong Yang, Qun Li, Palghat S. Ramesh, Raja Bala, Jayant Kumar
Publikováno v:
IEEE Transactions on Multimedia. 20:107-118
Process monitoring and verification have a wide range of uses in the medical and healthcare fields. Currently, such tasks are often carried out by a trained specialist, which makes them expensive, inefficient, and time-consuming. Recent advances in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16f7e75d2837a3a7159b804245f93ff7
https://doi.org/10.1109/tmm.2017.2726187
https://doi.org/10.1109/tmm.2017.2726187
Autor:
Ashokkumar, Pavithran, Siroraj, Pearlcid, Valanthan Veda, Giri Govindarajan, Vegesana Krishnakumar Raja, Bala Kiran
Publikováno v:
BMJ Case Reports; Dec2022, Vol. 15 Issue 12, p1-3, 3p
Publikováno v:
ICIP
Vessel segmentation of retinal images is a key diagnostic capability in ophthalmology. Early approaches addressing this problem employed hand-crafted filters to capture vessel structures, accompanied by morphological processing. More recently, deep l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::624319b29371ca1a17d83393f7c759cf
https://doi.org/10.1109/icip.2019.8803762
https://doi.org/10.1109/icip.2019.8803762