Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sasank Chilamkurthy"'
Autor:
Oldřich Kodym, Jianning Li, Antonio Pepe, Christina Gsaxner, Sasank Chilamkurthy, Jan Egger, Michal Španěl
Publikováno v:
Data in Brief, Vol 35, Iss , Pp 106902- (2021)
The article introduces two complementary datasets intended for the development of data-driven solutions for cranial implant design, which remains to be a time-consuming and laborious task in current clinical routine of cranioplasty. The two datasets,
Externí odkaz:
https://doaj.org/article/69cab2db2def4525b0abad1b4dbdad41
Autor:
Ujjwal Upadhyay, Mukul Ranjan, Satish Golla, Swetha Tanamala, Preetham Sreenivas, Sasank Chilamkurthy, Jeyaraj Pandian, Jason Tarpley
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9d5f557d7d1f3b33ba4bbc97458a6b0
https://doi.org/10.1007/978-3-031-25066-8_17
https://doi.org/10.1007/978-3-031-25066-8_17
Autor:
Ajith J. Thomas, Santiago Gomez-Paz, Swetha Tanamala, Mohamed M. Salem, Pooja Rao, Georgios A Maragkos, David B. Hackney, Sasank Chilamkurthy
Publikováno v:
Neurosurgery. 66:310-415
Autor:
Prashant Warier, Rohit Ghosh, Pooja Rao, Vidur Mahajan, Swetha Tanamala, Norbert G. Campeau, Vasantha Kumar Venugopal, Sasank Chilamkurthy, Mustafa Biviji
Publikováno v:
The Lancet. 392:2388-2396
Summary Background Non-contrast head CT scan is the current standard for initial imaging of patients with head trauma or stroke symptoms. We aimed to develop and validate a set of deep learning algorithms for automated detection of the following key
Autor:
Ujjwal Upadhyay, Swetha Tanamala, Jemin Webster, Satish Golla, Justy Antony Chiramal, Sasank Chilamkurthy
Publikováno v:
Journal of the Neurological Sciences. 429:119660
Autor:
Swetha Tanamala, Sasank Chilamkurthy
Publikováno v:
Lancet (London, England). 394(10210)
Autor:
Santiago Gomez-Paz, Sasank Chilamkurthy, Swetha Tanamala, Efstathios Papavassiliou, David B. Hackney, Justin M. Moore, Ajith J. Thomas, Pooja Rao, Aristotelis S. Filippidis, Mohamed Salem, Georgios A Maragkos
Publikováno v:
SSRN Electronic Journal.
Background: Currently, no large dataset-derived standard has been established for normal or pathologic human cerebral ventricular and cranial vault volumes. Manual image segmentation is impractical and laborious, and most efforts utilize linear or tw
Autor:
Michal Španěl, Oldřich Kodym, Jan Egger, Jianning Li, Christina Gsaxner, Sasank Chilamkurthy, Antonio Pepe
Publikováno v:
Data in Brief, Vol 35, Iss, Pp 106902-(2021)
The article introduces two complementary datasets intended for the development of data-driven solutions for cranial implant design, which remains to be a time-consuming and laborious task in current clinical routine of cranioplasty. The two datasets,
Autor:
Rahul K Roy, T Meghasyam, Vikram M. Gadre, Sasank Chilamkurthy, Shishir B. Sahay, Gaurav Pooniwala
Publikováno v:
Sadhana. 40:1049-1075
This paper is targeted towards a general readership in signal processing. It intends to provide a brief tutorial exposure to the Fractional Fourier Transform, followed by a report on experiments performed by the authors on a Generalized Time Frequenc
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319755403
STACOM@MICCAI
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges
STACOM@MICCAI
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges
In this paper, we develop a 2D and 3D segmentation pipelines for fully automated cardiac MR image segmentation using Deep Convolutional Neural Networks (CNN). Our models are trained end-to-end from scratch using the ACD Challenge 2017 dataset compris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1613acdb7308c05ea13f3c31e62c1492
http://arxiv.org/abs/1707.09813
http://arxiv.org/abs/1707.09813