Zobrazeno 1 - 10
of 3 316
pro vyhledávání: '"Jacobs Michael A"'
Self-supervised foundation models have recently been successfully extended to encode three-dimensional (3D) computed tomography (CT) images, with excellent performance across several downstream tasks, such as intracranial hemorrhage detection and lun
Externí odkaz:
http://arxiv.org/abs/2412.00110
While Deep Reinforcement Learning has been widely researched in medical imaging, the training and deployment of these models usually require powerful GPUs. Since imaging environments evolve rapidly and can be generated by edge devices, the algorithm
Externí odkaz:
http://arxiv.org/abs/2306.05310
Deep reinforcement learning(DRL) is increasingly being explored in medical imaging. However, the environments for medical imaging tasks are constantly evolving in terms of imaging orientations, imaging sequences, and pathologies. To that end, we deve
Externí odkaz:
http://arxiv.org/abs/2306.00188
Federated learning is a recent development in the machine learning area that allows a system of devices to train on one or more tasks without sharing their data to a single location or device. However, this framework still requires a centralized glob
Externí odkaz:
http://arxiv.org/abs/2303.06783
Selective experience replay is a popular strategy for integrating lifelong learning with deep reinforcement learning. Selective experience replay aims to recount selected experiences from previous tasks to avoid catastrophic forgetting. Furthermore,
Externí odkaz:
http://arxiv.org/abs/2302.11510
Autor:
Madondo, Malvern, Azmat, Muneeza, Dipietro, Kelsey, Horesh, Raya, Jacobs, Michael, Bawa, Arun, Srinivasan, Raghavan, O'Donncha, Fearghal
Crop management involves a series of critical, interdependent decisions or actions in a complex and highly uncertain environment, which exhibit distinct spatial and temporal variations. Managing resource inputs such as fertilizer and irrigation in th
Externí odkaz:
http://arxiv.org/abs/2302.04988
Autor:
Azmat, Muneeza, Madondo, Malvern, Dipietro, Kelsey, Horesh, Raya, Bawa, Arun, Jacobs, Michael, Srinivasan, Raghavan, O'Donncha, Fearghal
Climate change, population growth, and water scarcity present unprecedented challenges for agriculture. This project aims to forecast soil moisture using domain knowledge and machine learning for crop management decisions that enable sustainable farm
Externí odkaz:
http://arxiv.org/abs/2212.06565
Autor:
Abdelhamed, Ayman M. a, Alkins, Brenda R. b, Deak, Eszter c, Rajan, Nitin c, Good, Caryn E. a, Hoyos-Urias, Adrian c, Kimball, Simon R. b, Putney, Suzanne c, Moreno, Angel d, Knopfmacher, Oren c, Banaei, Niaz d, Herget, Meike c, Granato, Paul A. b, Jacobs, Michael R. a, e, ⁎
Publikováno v:
In Diagnostic Microbiology & Infectious Disease March 2025 111(3)
Autor:
Parekh, Vishwa S, Lai, Shuhao, Braverman, Vladimir, Leal, Jeff, Rowe, Steven, Pillai, Jay J, Jacobs, Michael A
Federated learning is increasingly being explored in the field of medical imaging to train deep learning models on large scale datasets distributed across different data centers while preserving privacy by avoiding the need to transfer sensitive pati
Externí odkaz:
http://arxiv.org/abs/2112.10001
Autor:
Duncan, Carly A., Jacobs, Michael A., Gao, Yubo, Mader, Michael, Schmidt, Susanne, Davila, Heather, Hadlandsmyth, Katherine, Shireman, Paula K., Hausmann, Leslie R.M., Tessler, Robert A., Strayer, Andrea, Vaughan Sarrazin, Mary, Hall, Daniel E.
Publikováno v:
In Journal of Surgical Research August 2024 300:514-525