Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nancy Mehta"'
Autor:
Nancy Mehta, Subrahmanyam Murala
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 7:523-536
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74f48bef79f363cea6b9b83e23e68655
https://doi.org/10.1109/tetci.2022.3182654
https://doi.org/10.1109/tetci.2022.3182654
Autor:
Nancy Mehta, Subrahmanyam Murala
Publikováno v:
IEEE Transactions on Broadcasting. 68:862-875
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f766b1ca98134c17533c5a25b2e5503e
https://doi.org/10.1109/tbc.2022.3192998
https://doi.org/10.1109/tbc.2022.3192998
Autor:
Nancy Mehta, Subrahmanyam Murala
Publikováno v:
IEEE Transactions on Artificial Intelligence. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cc927fd34251728ef2925ca784bdd68
https://doi.org/10.1109/tai.2022.3225784
https://doi.org/10.1109/tai.2022.3225784
Autor:
Subrahmanyam Murala, Nancy Mehta
Publikováno v:
Pattern Recognition Letters. 151:215-221
Recently, single image super-resolution (SISR), aiming to preserve the lost structural and textural information from the input low resolution image, has witnessed huge demand from the videos and graphics industries. The exceptional success of convolu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cdc6149fd8f9e676a89dc9f53128ccb
https://doi.org/10.1016/j.patrec.2021.08.011
https://doi.org/10.1016/j.patrec.2021.08.011
Autor:
Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4bea0d20ef1355ebe5166c43116c7f5
https://doi.org/10.1109/cvprw56347.2022.00134
https://doi.org/10.1109/cvprw56347.2022.00134
Autor:
Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::033a98bc2b855bc38e24703afd2eff3a
https://doi.org/10.1109/cvprw56347.2022.00117
https://doi.org/10.1109/cvprw56347.2022.00117
Autor:
Nancy Mehta, Sumit Budhiraja
Publikováno v:
Biomedical and Pharmacology Journal. 11:1937-1946
Multimodal medical image fusion aims at minimizing the redundancy and collecting the relevant information using the input images acquired from different medical sensors. The main goal is to produce a single fused image having more information and has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8de865e5fcc3e2da5e12f7c36c946a46
https://doi.org/10.13005/bpj/1566
https://doi.org/10.13005/bpj/1566
Publikováno v:
2017 2nd International Conference on Telecommunication and Networks (TEL-NET).
Multimodal medical image fusion is the fusion of images belonging to different modalities like, CT, MRI, PET, X-Ray etc. The purpose is to yield an image more efficient for diagnosis while enhancing the essential information extracted from the images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a13568b0801d6fe3b8ba15e15a33ad3
https://doi.org/10.1109/tel-net.2017.8343516
https://doi.org/10.1109/tel-net.2017.8343516
Publikováno v:
2017 2nd International Conference on Telecommunication and Networks (TEL-NET).
In the recent years multimodal medical image fusion has evolved out as an active area of research, and it is finding a lot of applications in several imaging areas. The main aim is to collect the required relevant information from the source input im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55f8a793000f8f143eb1626e81be3fc6
https://doi.org/10.1109/tel-net.2017.8343519
https://doi.org/10.1109/tel-net.2017.8343519