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of 392
pro vyhledávání: '"Almeida, Jonas S"'
ClusterRadar: an Interactive Web-Tool for the Multi-Method Exploration of Spatial Clusters Over Time
Spatial cluster analysis, the detection of localized patterns of similarity in geospatial data, has a wide-range of applications for scientific discovery and practical decision making. One way to detect spatial clusters is by using local indicators o
Externí odkaz:
http://arxiv.org/abs/2404.05897
Autor:
Afonso, Martim, Bhawsar, Praphulla M. S., Saha, Monjoy, Almeida, Jonas S., Oliveira, Arlindo L.
Whole Slide Images (WSI), obtained by high-resolution digital scanning of microscope slides at multiple scales, are the cornerstone of modern Digital Pathology. However, they represent a particular challenge to AI-based/AI-mediated analysis because p
Externí odkaz:
http://arxiv.org/abs/2404.01446
Autor:
Balasubramanian, Jeya Balaji, Choudhury, Parichoy Pal, Mukhopadhyay, Srijon, Ahearn, Thomas, Chatterjee, Nilanjan, García-Closas, Montserrat, Almeida, Jonas S.
Objective: Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, such as the R-based iCARE (R-iCARE), to build, validate, and apply absolute risk models, fac
Externí odkaz:
http://arxiv.org/abs/2310.09252
Autor:
Ge, Aaron, Martins, Yasmmin Côrtes, Zhang, Tongwu, Chen, Kailing, Landi, Maria Teresa, Park, Brian, Balasubramanian, Jeya, Almeida, Jonas S
In our previous work, we demonstrated that it is feasible to perform analysis on mutation signature data without the need for downloads or installations and analyze individual patient data at scale without compromising privacy. Building on this found
Externí odkaz:
http://arxiv.org/abs/2308.02995
Autor:
Saleem, Muhammad, Padmanabhuni, Shanmukha S., Ngonga Ngomo, Axel-Cyrille, Iqbal, Aftab, Almeida, Jonas S., Decker, Stefan, Deus, Helena F.
Publikováno v:
Journal of Biomedical Semantics 2014, 5:47 doi:10.1186/2041-1480-5-47
Methods: We address these issues by transforming the TCGA data into the Semantic Web standard Resource Description Format (RDF), link it to relevant datasets in the Linked Open Data (LOD) cloud and further propose an efficient data distribution strat
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A13048
https://ul.qucosa.de/api/qucosa%3A13048/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A13048/attachment/ATT-0/
Autor:
Bhawsar, Praphulla MS, Bremer, Erich, Duggan, Máire A, Chanock, Stephen, Garcia-Closas, Montserrat, Saltz, Joel, Almeida, Jonas S
Whole slide imaging (WSI) has become the primary modality for digital pathology data. However, due to the size and high-resolution nature of these images, they are generally only accessed in smaller sections or tiles via specialized platforms, most o
Externí odkaz:
http://arxiv.org/abs/2207.01734
Autor:
Garcia-Closas, Montserrat, Ahearn, Thomas U., Gaudet, Mia M., Hurson, Amber N., Balasubramanian, Jeya Balaji, Choudhury, Parichoy Pal, Gerlanc, Nicole M., Patel, Bhaumik, Russ, Daniel, Abubakar, Mustapha, Freedman, Neal D., Wong, Wendy S. W., Chanock, Stephen J., de Gonzalez, Amy Berrington, Almeida, Jonas S
Reproducibility and replicability of research findings are central to the scientific integrity of epidemiology. In addition, many research questions require combiningdata from multiple sources to achieve adequate statistical power. However, barriers
Externí odkaz:
http://arxiv.org/abs/2206.06159
Autor:
Le, Han, Gupta, Rajarsi, Hou, Le, Abousamra, Shahira, Fassler, Danielle, Kurc, Tahsin, Samaras, Dimitris, Batiste, Rebecca, Zhao, Tianhao, Rao, Arvind, Van Dyke, Alison L., Sharma, Ashish, Bremer, Erich, Almeida, Jonas S., Saltz, Joel
Quantitative assessment of Tumor-TIL spatial relationships is increasingly important in both basic science and clinical aspects of breast cancer research. We have developed and evaluated convolutional neural network (CNN) analysis pipelines to genera
Externí odkaz:
http://arxiv.org/abs/1905.10841
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