Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rahul Venkataramani"'
Autor:
Prasad Sudhakar, Saihareesh Anamandra, Rahul Venkataramani, Pavan Annangi, Hariharan Ravishankar
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322502
MICCAI (4)
MICCAI (4)
Deep learning algorithms have achieved tremendous success in many medical imaging problems leading to multiple commercial healthcare applications. For sustaining the performance of these algorithms post-deployment, it is necessary to overcome catastr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c88ba917631813f8e2beb7f21fdf357
https://doi.org/10.1007/978-3-030-32251-9_38
https://doi.org/10.1007/978-3-030-32251-9_38
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319590493
IPMI
IPMI
Encouraged by the success of CNNs in classification problems, CNNs are being actively applied to image-wide prediction problems such as segmentation, optic flow, reconstruction, restoration etc. These approaches fall under the category of fully convo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::410ab1209f6302070bd5a4056a874bbf
https://doi.org/10.1007/978-3-319-59050-9_49
https://doi.org/10.1007/978-3-319-59050-9_49
Autor:
Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya, Hariharan Ravishankar, Rahul Venkataramani
Publikováno v:
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 ISBN: 9783319661810
MICCAI (1)
MICCAI (1)
Semantic segmentation has been popularly addressed using Fully convolutional networks (FCN) (e.g. U-Net) with impressive results and has been the forerunner in recent segmentation challenges. However, FCN approaches do not necessarily incorporate loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8037904d6d69a6204ac12a8d0d23a430
https://doi.org/10.1007/978-3-319-66182-7_24
https://doi.org/10.1007/978-3-319-66182-7_24
Autor:
Sheshadri Thiruvenkadam, Pavan Annangi, Prasad Sudhakar, Hariharan Ravishankar, Rahul Venkataramani, Narayanan Babu, Vivek Vaidya
Publikováno v:
Deep Learning and Data Labeling for Medical Applications ISBN: 9783319469751
LABELS/DLMIA@MICCAI
LABELS/DLMIA@MICCAI
The ability to automatically learn task specific feature representations has led to a huge success of deep learning methods. When large training data is scarce, such as in medical imaging problems, transfer learning has been very effective. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::805e000b5cf4f66034fc79fab0b59eaf
https://doi.org/10.1007/978-3-319-46976-8_20
https://doi.org/10.1007/978-3-319-46976-8_20
Publikováno v:
ICSM
Distributed and collaborative software development has increased the popularity of source code repositories like GitHub. With the number of projects in such code repositories exceeding millions, it is important to identify the domains to which the pr
Autor:
Allahbaksh Mohammedali Asadullah, Basavaraju Muddu, Rahul Venkataramani, Atul Gupta, Vasudev Bhat
Publikováno v:
WWW (Companion Volume)
Scopus-Elsevier
Scopus-Elsevier
Online Question and Answer websites for developers have emerged as the main forums for interaction during the software development process. The veracity of an answer in such websites is typically verified by the number of 'upvotes' that the answer ga