Zobrazeno 1 - 10
of 1 392
pro vyhledávání: '"Gare A"'
Autor:
Gare, Gautam, Armouti, Jana, Madaan, Nikhil, Panda, Rohan, Fox, Tom, Hutchins, Laura, Krishnan, Amita, Rodriguez, Ricardo, DeBoisblanc, Bennett, Ramanan, Deva, Galeotti, John
A crucial question in active patient care is determining if a treatment is having the desired effect, especially when changes are subtle over short periods. We propose using inter-patient data to train models that can learn to detect these fine-grain
Externí odkaz:
http://arxiv.org/abs/2411.01144
Autor:
Shi, Jia, Gare, Gautam, Tian, Jinjin, Chai, Siqi, Lin, Zhiqiu, Vasudevan, Arun, Feng, Di, Ferroni, Francesco, Kong, Shu
We tackle the challenge of predicting models' Out-of-Distribution (OOD) performance using in-distribution (ID) measurements without requiring OOD data. Existing evaluations with "Effective Robustness", which use ID accuracy as an indicator of OOD acc
Externí odkaz:
http://arxiv.org/abs/2407.16067
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
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Drug-resistant tuberculosis (DR-TB) poses a significant global health challenge and requires treatment with potentially toxic second-line anti-TB drugs. Assessing the health-related quality of life (HRQoL) of DR-TB patients is cru
Externí odkaz:
https://doaj.org/article/ac6f4fa97647452088cb483e0db18afa
Autor:
Gare, Kebayaone P.1,2 (AUTHOR) kebayaonegare@yahoo.com, Sebakeng, Makamu3 (AUTHOR), Molefi, Mooketsi1 (AUTHOR)
Publikováno v:
BMC Infectious Diseases. 11/29/2024, p1-10. 10p.
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:
Kelly-Hanku, Angela, Songtaweesin, Wipaporn Natalie, Palmares, Maria Lelis, Bartlett, Adam W., Gare, Janet, Sta Maria, Maria Karen, Thanh Thuy, Cao Thi, Gideon, Nano, Boma, Gamini Vali, Kaima, Petronia, Da Silva De Jesus, Bonifacio, Devi, Rachel, Kelleher, Anthony D., Puthanakit, Thanyawee
Publikováno v:
In The Lancet Regional Health - Western Pacific December 2024 53
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