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pro vyhledávání: '"B.S. Manjunath"'
We consider the problem of finding an accurate representation of neuron shapes, extracting sub-cellular features, and classifying neurons based on neuron shapes. In neuroscience research, the skeleton representation is often used as a compact and abs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc8394ecf790aef28bc657d8017b1e99
http://arxiv.org/abs/2212.07044
http://arxiv.org/abs/2212.07044
Autor:
B.S. Manjunath, Pollock, Tresa, Chowdhury, Amit, Nirav Merchant, Miller, Robert, Khan, Amil, Kumar, Satish, Goebel, Michael, Jiaxiang Jiang, Levenson, Connor, Chandrakanth Gudavalli
This is the poster for presentation at the CSSI PI meeting on July 25-26.
Award #: 1664172
Award #: 1664172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eaafed0d9ddc9dc772e5e59f58cc988
Akademický článek
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Autor:
B.S. Manjunath
Publikováno v:
Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security.
Autor:
B.S. Manjunath
Publikováno v:
Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security.
Tractography generates billions of complex curvilinear fibers (streamlines) in 3D that exhibit the geometry of white matter pathways. Analysis of raw streamlines on such a large scale is time-consuming and intractable. Further, it is well known that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::138132369cd7c5d89ff993eaaac6e8b0
https://doi.org/10.1101/2022.03.11.482601
https://doi.org/10.1101/2022.03.11.482601
Autor:
Chandrakanth Gudavalli, Michael Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B.S. Manjunath
Recent advances in machine learning and computer vision have made it simple to manipulate a variety of images, including satellite images. Most of the commercially available satellite images go through the process of orthorectification to remove pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4363ef428d9bb31faf44db296fd80c55
https://doi.org/10.36227/techrxiv.19026266.v1
https://doi.org/10.36227/techrxiv.19026266.v1
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:2146-2154
The traffic driving environment is a complex and dynamic changing scene in which drivers have to pay close attention to salient and important targets or regions for safe driving. Modeling drivers’ eye movements and attention allocation in traffic d
Autor:
B.S. Manjunath, Utkarsh Gaur
Publikováno v:
IEEE Trans Image Process
Superpixel segmentation is a fundamental computer vision technique that finds application in a multitude of high level computer vision tasks. Most state-of-the-art superpixel segmentation methods are unsupervised in nature and thus cannot fully utili
Autor:
Angela Zhang, S. Shailja, Cezar Borba, Yishen Miao, Michael Goebel, Raphael Ruschel, Kerrianne Ryan, William Smith, B.S. Manjunath
This paper presents a deep-learning based workflow to detect synapses and predict their neurotransmitter type in the primitive chordate Ciona intestinalis (Ciona) EM images. Identifying synapses from electron microscopy (EM) images to build a full ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2e2daa53330db28da8ba8e1197470ec
https://doi.org/10.1101/2021.11.02.467022
https://doi.org/10.1101/2021.11.02.467022