Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Rodriguez, Jeffrey J"'
Crowdsourcing systems have been used to accumulate massive amounts of labeled data for applications such as computer vision and natural language processing. However, because crowdsourced labeling is inherently dynamic and uncertain, developing a tech
Externí odkaz:
http://arxiv.org/abs/2310.16293
In contrast with traditional extended depth-of-field approaches, we propose a depth-based deconvolution technique that realizes the depth-variant nature of the point spread function of an ordinary fixed-focus camera. The developed technique brings a
Externí odkaz:
http://hdl.handle.net/10150/624372
http://arizona.openrepository.com/arizona/handle/10150/624372
http://arizona.openrepository.com/arizona/handle/10150/624372
Autor:
Ram, Sundaresh, Tang, Wenfei, Bell, Alexander J., Spencer, Cara, Buschhaus, Alexander, Hatt, Charles R., diMagliano, Marina Pasca, Rodriguez, Jeffrey J., Galban, Stefanie, Galban, Craig J.
Early detection of lung cancer is critical for improvement of patient survival. To address the clinical need for efficacious treatments, genetically engineered mouse models (GEMM) have become integral in identifying and evaluating the molecular under
Externí odkaz:
http://arxiv.org/abs/2110.14728
Autor:
Ram, Sundaresh, Rodriguez, Jeffrey J.
Accurate segmentation of 3-D cell nuclei in microscopy images is essential for the study of nuclear organization, gene expression, and cell morphodynamics. Current image segmentation methods are challenged by the complexity and variability of microsc
Externí odkaz:
http://arxiv.org/abs/2110.03193
For object detection in wide-area aerial imagery, post-processing is usually needed to reduce false detections. We propose a two-stage post-processing scheme which comprises an area-thresholding sieving process and a morphological closing operation.
Externí odkaz:
http://arxiv.org/abs/2010.15260
Publikováno v:
IEEE Access, vol, 8, Nov. 2020
Vehicle detection in aerial videos often requires post-processing to eliminate false detections. This paper presents a spatio-temporal processing scheme to improve automatic vehicle detection performance by replacing the thresholding step of existing
Externí odkaz:
http://arxiv.org/abs/2010.14025
Autor:
Majdi, Mohammad S., Salman, Khalil N., Morris, Michael F., Merchant, Nirav C., Rodriguez, Jeffrey J.
Publikováno v:
2020 IEEE SSIAI, Albuquerque, NM, USA, 2020, pp. 116-119
We propose a deep learning based method for classification of commonly occurring pathologies in chest X-ray images. The vast number of publicly available chest X-ray images provides the data necessary for successfully employing deep learning methodol
Externí odkaz:
http://arxiv.org/abs/2005.09609
Autor:
Majdi, Mohammad S, Keerthivasan, Mahesh B, Rutt, Brian K, Zahr, Natalie M, Rodriguez, Jeffrey J, Saranathan, Manojkumar
A cascaded multi-planar scheme with a modified residual U-Net architecture was used to segment thalamic nuclei on conventional and white-matter-nulled (WMn) magnetization prepared rapid gradient echo (MPRAGE) data. A single network was optimized to w
Externí odkaz:
http://arxiv.org/abs/1912.07209
Autor:
Ram, Sundaresh, Tang, Wenfei, Bell, Alexander J., Pal, Ravi, Spencer, Cara, Buschhaus, Alexander, Hatt, Charles R., diMagliano, Marina Pasca, Rehemtulla, Alnawaz, Rodríguez, Jeffrey J., Galban, Stefanie, Galban, Craig J.
Publikováno v:
In Neoplasia August 2023 42
A conditional random field (CRF) model for cloud detection in ground based sky images is presented. We show that very high cloud detection accuracy can be achieved by combining a discriminative classifier and a higher order clique potential in a CRF
Externí odkaz:
http://arxiv.org/abs/1906.07383