Zobrazeno 1 - 10
of 1 706
pro vyhledávání: '"Ricardo Luís"'
Autor:
Pezzi, Cristina, Morosato, Francesco, Marcaccio, Barbara, Bortolussi, Silva, Ramos, Ricardo Luis, Vercesi, Valerio, Postuma, Ian, Fatemi, Setareh
This work presents a preliminary evaluation of the use of the convolutional neural network nnU-NET to automatically contour the volume of Glioblastoma Multiforme in medical images of patients. The goal is to assist the preparation of the Treatment Pl
Externí odkaz:
http://arxiv.org/abs/2406.04908
Autor:
Gare, Gautam Rajendrakumar, Fox, Tom, Chansangavej, Beam, Krishnan, Amita, Rodriguez, Ricardo Luis, deBoisblanc, Bennett P, Ramanan, Deva Kannan, Galeotti, John Michael
Accurate and interpretable diagnostic models are crucial in the safety-critical field of medicine. We investigate the interpretability of our proposed biomarker-based lung ultrasound diagnostic pipeline to enhance clinicians' diagnostic capabilities.
Externí odkaz:
http://arxiv.org/abs/2402.12394
Akademický článek
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Autor:
Enokida, Cristina Harumi, Tapparo, Deisi Cristina, Antes, Fabiane Goldschmidt, Radis Steinmetz, Ricardo Luis, Magrini, Flaviane Eva, Sophiatti, Igor Vinicius Machado, Paesi, Suelen, Kunz, Airton
Publikováno v:
In Renewable Energy January 2025 238
Autor:
da Silva, Ademir Ferreira, Ohta, Ricardo Luis, Azpiroz, Jaione Tirapu, Fereira, Matheus Esteves, Marçal, Daniel Vitor, Botelho, André, Coppola, Tulio, de Oliveira, Allysson Flavio Melo, Bettarello, Murilo, Schneider, Lauren, Vilaça, Rodrigo, Abdool, Noorunisha, Junior, Vanderlei, Furlaneti, Wellington, Malanga, Pedro Augusto, Steiner, Mathias
For optimizing production yield while limiting negative environmental impact, sustainable agriculture benefits greatly from real-time, on-the-spot analysis of soil at low cost. Colorimetric paper sensors are ideal candidates for cheap and rapid chemi
Externí odkaz:
http://arxiv.org/abs/2207.10537
Autor:
Gare, Gautam Rajendrakumar, Fox, Tom, Lowery, Pete, Zamora, Kevin, Tran, Hai V., Hutchins, Laura, Montgomery, David, Krishnan, Amita, Ramanan, Deva Kannan, Rodriguez, Ricardo Luis, deBoisblanc, Bennett P, Galeotti, John Michael
Contemporary artificial neural networks (ANN) are trained end-to-end, jointly learning both features and classifiers for the task of interest. Though enormously effective, this paradigm imposes significant costs in assembling annotated task-specific
Externí odkaz:
http://arxiv.org/abs/2206.08398
Autor:
Gare, Gautam Rajendrakumar, Schoenling, Andrew, Philip, Vipin, Tran, Hai V, deBoisblanc, Bennett P, Rodriguez, Ricardo Luis, Galeotti, John Michael
Publikováno v:
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, pp. 1406-1410
We propose using a pre-trained segmentation model to perform diagnostic classification in order to achieve better generalization and interpretability, terming the technique reverse-transfer learning. We present an architecture to convert segmentation
Externí odkaz:
http://arxiv.org/abs/2201.10166
Autor:
Gare, Gautam Rajendrakumar, Chen, Wanwen, Hung, Alex Ling Yu, Chen, Edward, Tran, Hai V., Fox, Tom, Lowery, Pete, Zamora, Kevin, deBoisblanc, Bennett P, Rodriguez, Ricardo Luis, Galeotti, John Michael
Publikováno v:
LL-COVID19 2021. Lecture Notes in Computer Science, vol 12969. Springer, Cham
In this paper, we study the significance of the pleura and adipose tissue in lung ultrasound AI analysis. We highlight their more prominent appearance when using high-frequency linear (HFL) instead of curvilinear ultrasound probes, showing HFL reveal
Externí odkaz:
http://arxiv.org/abs/2201.07368
Autor:
Gare, Gautam Rajendrakumar, Tran, Hai V., deBoisblanc, Bennett P, Rodriguez, Ricardo Luis, Galeotti, John Michael
With the onset of the COVID-19 pandemic, ultrasound has emerged as an effective tool for bedside monitoring of patients. Due to this, a large amount of lung ultrasound scans have been made available which can be used for AI based diagnosis and analys
Externí odkaz:
http://arxiv.org/abs/2201.07357