Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Purnima Rajan"'
Autor:
Pezhman Foroughi, Alican Demir, Martin Hossbach, Purnima Rajan, Pavel Yarmolenko, Ranjith Vellody, Kevin Cleary, Karun Sharma
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86c7df3751eb6b36a49a26065c0a4f19
https://doi.org/10.1007/s11548-023-02897-z
https://doi.org/10.1007/s11548-023-02897-z
Autor:
Pezhman Foroughi, Purnima Rajan, Martin Hossbach, Alican Demir, Jan Hämmelmann, Kenny Harlan, Aliza Mushtaq, Lance A. Mynderse, David A. Woodrum
Publikováno v:
Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1f402bd0df8ed3cd6c97a144ccf1e88
https://doi.org/10.1117/12.2653979
https://doi.org/10.1117/12.2653979
Publikováno v:
Acta Ichthyologica et Piscatoria 48(3): 289-301
This paper confirms the new distributional records of four rare deep-water chondrichthyans viz. sharpnose sevengill shark, Heptranchias perlo (Bonnaterre, 1788); bluntnose sixgill shark, Hexanchus griseus (Bonnaterre, 1788); bramble shark, Echinorhin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0bccc88f5d68f151c44b7ad69d77e45
https://doi.org/10.3750/aiep/02336
https://doi.org/10.3750/aiep/02336
Publikováno v:
Journal of Mathematical Imaging and Vision. 61:380-393
In this work, doubly stochastic Poisson (Cox) processes and convolutional neural net (CNN) classifiers are used to estimate the number of instances of an object in an image. Poisson processes are well suited to model events that occur randomly in spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ff524f71c007ba9573ed29d09b2a95
https://doi.org/10.1007/s10851-018-0838-5
https://doi.org/10.1007/s10851-018-0838-5
Publikováno v:
IEEE Transactions on Information Theory. 63:915-933
We consider the problem of group testing with sum observations and noiseless answers, in which we aim to locate multiple objects by querying the number of objects in each of a sequence of chosen sets. We study a probabilistic setting with entropy los
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1782c4f37f698155b47ee0b1b0c830cd
https://doi.org/10.1109/tit.2016.2628784
https://doi.org/10.1109/tit.2016.2628784
Autor:
Philippe Burlina, Bruno Jedynak, D. Edell, M. Chen, N. Mehta, Avigyan Sinha, Purnima Rajan, Gregory D. Hager
Publikováno v:
AIPR
Most large asteroid population discovery has been accomplished to date by Earth-based telescopes. It is speculated that most of the smaller Near Earth Objects (NEOs) that are less than 100 meters in diameter, whose impact can create substantial city-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2336bb2b0ce48ac043968c793e358a9e
https://doi.org/10.1109/aipr.2015.7444551
https://doi.org/10.1109/aipr.2015.7444551
Autor:
Simon Leonard, Austin Reiter, Gary L. Gallia, Gregory D. Hager, Masaru Ishii, Jeffrey H. Siewerdsen, Yoshito Otake, Purnima Rajan, Russell H. Taylor
Publikováno v:
Medical Imaging: Image-Guided Procedures
We present a system for registering the coordinate frame of an endoscope to pre- or intra- operatively acquired CT data based on optimizing the similarity metric between an endoscopic image and an image predicted via rendering of CT. Our method is ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::929e17bc2f0c366922c5b8b381ac911b
https://doi.org/10.1117/12.2081732
https://doi.org/10.1117/12.2081732
Autor:
Sharmishtaa, Seshamani, Purnima, Rajan, Rajesh, Kumar, Hani, Girgis, Themos, Dassopoulos, Gerard, Mullin, Gregory, Hager
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 12(Pt 1)
A variety of pixel and feature based methods have been proposed for registering multiple views of anatomy visible in studies obtained using diagnostic, minimally invasive imaging. A given registration method may outperform another depending on anatom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2c182857d649cb541e3bd0f08a455dd3
https://pubmed.ncbi.nlm.nih.gov/20426035
https://pubmed.ncbi.nlm.nih.gov/20426035
Autor:
Rajesh Kumar, Sharmishtaa Seshamani, Themistocles Dassopoulos, Gerard E. Mullin, Gregory D. Hager, S. Bejakovic, Purnima Rajan
Publikováno v:
ISBI
Wireless capsule endoscopy (CE) is increasing being used to assess several gastrointestinal(GI) diseases and disorders. Current clinical methods are based on subjective evaluation of images. In this paper, we develop a method for ranking lesions appe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::541f6ad88e6775acc9e04dd057f4f23d
https://doi.org/10.1109/isbi.2009.5193306
https://doi.org/10.1109/isbi.2009.5193306
Autor:
Rajesh Kumar, Gerard E. Mullin, Sharmishtaa Seshamani, Gregory D. Hager, Srdan Bejakovic, Purnima Rajan, Themistocles Dassopoulos
Publikováno v:
ISBI
This paper presents a new approach to evaluation of registration using a general discriminative learning model that is independent of the type of registration method. We select features by association of a registration with a set of metrics (pixel ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60a631de269e6019f47974800148752f
https://doi.org/10.1109/isbi.2009.5193150
https://doi.org/10.1109/isbi.2009.5193150