Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sheshadri, Thiruvenkadam"'
Autor:
Dustin J. Little, Ravi Gopalakrishnan, Debopriya Das, Jiji Nair, Kumar Ujjwal, Susan Grandy, Sheshadri Thiruvenkadam, Palaka Eirini, Albert Chan
Publikováno v:
Nephrology Dialysis Transplantation. 34
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:
Sandeep Kaushik, Albert Henry Roger Lonn, Scott David Wollenweber, Gaspar Delso, Florian Wiesinger, Dattesh Dayanand Shanbhag, Sheshadri Thiruvenkadam, Rakesh Mullick, Sonal Ambwani, Hua Qian
Publikováno v:
IEEE Transactions on Nuclear Science. 60:3391-3398
The goal of this study was to compare two approaches for MR-based PET patient attenuation correction (AC) in whole-body FDG-PET imaging using a tri-modality PET/CT & MR setup. Sixteen clinical whole-body FDG patients were included in this study. Mean
Autor:
Cyril Cardon, Rakesh Mullick, K. S. Shriram, Sheshadri Thiruvenkadam, Gogin Nicolas, Navneeth Subramanian, Maxime Teisseire, Sandeep Kaushik, Bhushan D. Patil, Jerome Knoplioch
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319467252
MICCAI (3)
MICCAI (3)
Since the introduction of wide cone detector systems, CT myocardial perfusion has been an area of increased interest, for which non-rigid registration [NRR] is a key step to further analysis. We propose a novel motion management pipeline for perfusio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4435bcc748b70b153ad8de124d06a12
https://doi.org/10.1007/978-3-319-46726-9_30
https://doi.org/10.1007/978-3-319-46726-9_30
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:
SIAM Journal on Imaging Sciences. 3:52-78
Surface registration, which transforms different sets of surface data into one common reference space, is an important process which allows us to compare or integrate the surface data effectively. If a nonrigid transformation is required, surface reg
Publikováno v:
SIAM Journal on Imaging Sciences. 1:115-142
In this work, we address the problem of segmenting multiple objects, under possible occlusions, in a level set framework. A variational energy that incorporates a piecewise constant representation of the image in terms of the object regions and the o
Autor:
Hemant D. Tagare, Sheshadri Thiruvenkadam, Yunmei Chen, Richard W. Briggs, Kaundinya S. Gopinath, Feng Huang, Edward A. Geiser, David C. Wilson
Publikováno v:
International Journal of Computer Vision. 50:315-328
In this paper, we report an active contour algorithm that is capable of using prior shapes. The energy functional of the contour is modified so that the energy depends on the image gradient as well as the prior shape. The model provides the segmentat
Publikováno v:
ISBI
Significant coverage mismatches, non-rigid motion, structural variability of anatomy, and intensity variations in contrast studies make automatic correction for multi-time point CT oncology studies a difficult problem. Also, since multiple volumes ha