Výsledky vyhledávání - "Abhishek Kolagunda"

AWDF: An Adaptive Weighted Deep Fusion Architecture for Multi-modality Learning

Autor: Xiaolong Wang, Qinghan Xue, Abhishek Kolagunda, Steven Eliuk

Publikováno v: IEEE BigData

Fusion has been widely used in machine learning community, especially for problems dealing with multiple input sources and classifiers. The general strategy for information fusion in deep neural network is to directly concatenate the embedding featur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d489c488fe7622dca53ad4c70a1b183a
https://doi.org/10.1109/bigdata47090.2019.9006395

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Intersection To Overpass: Instance Segmentation On Filamentous Structures With An Orientation-Aware Neural Network And Terminus Pairing Algorithm

Autor: Chandra Kambhamettu, Wayne Treible, Yi Liu, Jeffrey L. Caplan, Alex Nedo, Abhishek Kolagunda

Publikováno v: Conf Comput Vis Pattern Recognit Workshops
CVPR Workshops

Filamentous structures play an important role in biological systems. Extracting individual filaments is fundamental for analyzing and quantifying related biological processes. However, segmenting filamentous structures at an instance level is hampere

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4abb0ecd02f30df53a2e0e8d92c566a
https://europepmc.org/articles/PMC8046259/

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Representing 3D shapes based on implicit surface functions learned from RBF neural networks

Autor: Guoyu Lu, Li Ren, Chandra Kambhamettu, Ismail B. Turkbey, Peter L. Choyke, Abhishek Kolagunda, Xiaolong Wang

Publikováno v: Journal of Visual Communication and Image Representation. 40:852-860

We propose a 3D shape representation method based on neural network classifier.The combination of radial base functions can implicitly represent complex shapes.The use of neural network can represent the shape with 3 classes of points.We conduct exte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1499a2e52ce6f1f522bfd2f35c9aa555
https://doi.org/10.1016/j.jvcir.2016.08.014

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Semiautomated confocal imaging of fungal pathogenesis on plants: Microscopic analysis of macroscopic specimens

Autor: Katharine R. Minker, Randall J. Wisser, Meredith L. Biedrzycki, Samuel S. Jacobs, Tiffany M. Jamann, Chandra Kambhamettu, Stephen Rhein, Rebecca Nelson, Qin Yang, Fabiano José Perina, Peter J. Balint-Kurti, Jeffrey L. Caplan, Abhishek Kolagunda, Michael J. Moore

Publikováno v: Microscopy Research and Technique. 81:141-152

The study of phenotypic variation in plant pathogenesis provides fundamental information about the nature of disease resistance. Cellular mechanisms that alter pathogenesis can be elucidated with confocal microscopy; however, systematic phenotyping p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00ad3252729a324dce078babe41a083f
https://doi.org/10.1002/jemt.22709

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V12-07 IMPLEMENTATION OF MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING INTO ROBOTIC – ASSISTED RADICAL PROSTATECTOMY USING VIRTUAL REALITY

Autor: Peter L. Choyke, Clayton Smith, Samuel Gold, Vikram Sabarwal, Kareem Rayn, Vladimir Valera Romero, Bradford J. Wood, Abhishek Kolagunda, Graham R. Hale, Stephanie Harmon, Chandra Kambhamettu, Sherif Mehralivand, Baris Turkbey, Gustavo Pena Lagrave, Marcin Czarniecki, Kaitlan D Cobb, Jonathan Bloom, Kai H. Hammerich, Peter A. Pinto

Publikováno v: Journal of Urology. 199

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::02e525a5f0133d0b03d635a282363ccc
https://doi.org/10.1016/j.juro.2018.02.3015

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PD40-09 A MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING – BASED VIRTUAL REALITY SURGICAL AID FOR ROBOTIC – ASSISTED RADICAL PROSTATECTOMY

Autor: Bradford J. Wood, Baris Turkbey, Gustavo Pena Lagrave, Vladimir Valera Romero, Kareem Rayn, Sherif Mehralivand, Kaitlan D Cobb, Graham R. Hale, Jonathan Bloom, Samuel Gold, Vikram Sabarwal, Peter A. Pinto, Kai H. Hammerich, Abhishek Kolagunda, Marcin Czarniecki, Peter L. Choyke, Chandra Kambhamettu

Publikováno v: Journal of Urology. 199

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b255acd3f309e4315f1b9f4b0b62e1b4
https://doi.org/10.1016/j.juro.2018.02.1934

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A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy

Autor: Scott Sorensen, Wayne Treible, Peter A. Pinto, Baris Turkbey, Abhishek Kolagunda, Sherif Mehralivand, Chandra Kambhamettu, Peter L. Choyke, Philip Saponaro

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030012007
OR 2.0/CARE/CLIP/ISIC@MICCAI

Robotic surgery with preoperative imaging data for planning have become increasingly common for surgical treatment of patients. For surgeons using robotic surgical platforms, maintaining spatial awareness of the anatomical structures in the surgical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3f64c9f0e6f10e25a24e760e643a3d63
https://doi.org/10.1007/978-3-030-01201-4_18

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Fuzzy Correspondences for Robust Shape Registration

Autor: Scott Sorensen, Kelly D. Sherbondy, Chandra Kambhamettu, Abhishek Kolagunda, Philip Saponaro, Wayne Treible

Publikováno v: 3DV

Shape registration is the process of aligning one 3D model to another. Most previous methods to align shapes with no known correspondences attempt to solve for both the transformation and correspondences iteratively. We present a shape registration a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::012fe32df7701f9f2dfa72e39f151bdb
https://doi.org/10.1109/3dv.2017.00083

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