Zobrazeno 1 - 10
of 1 790
pro vyhledávání: '"P. Petrick"'
Autor:
Mukherjee, Subrata, Coroller, Thibaud, Wang, Craig, Samala, Ravi K., Hu, Tingting, Gokcay, Didem, Petrick, Nicholas, Sahiner, Berkman, Cao, Qian
Patients diagnosed with metastatic breast cancer (mBC) typically undergo several radiographic assessments during their treatment. mBC often involves multiple metastatic lesions in different organs, it is imperative to accurately track and assess thes
Externí odkaz:
http://arxiv.org/abs/2404.16544
Autor:
Monod, Mélodie, Krusche, Peter, Cao, Qian, Sahiner, Berkman, Petrick, Nicholas, Ohlssen, David, Coroller, Thibaud
TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment. Unlike existing libraries that impose specific parametric forms, TorchSurv enables the use of custom PyTorch-based deep su
Externí odkaz:
http://arxiv.org/abs/2404.10761
Autor:
Feng, Jean, Subbaswamy, Adarsh, Gossmann, Alexej, Singh, Harvineet, Sahiner, Berkman, Kim, Mi-Ok, Pennello, Gene, Petrick, Nicholas, Pirracchio, Romain, Xia, Fan
After a machine learning (ML)-based system is deployed, monitoring its performance is important to ensure the safety and effectiveness of the algorithm over time. When an ML algorithm interacts with its environment, the algorithm can affect the data-
Externí odkaz:
http://arxiv.org/abs/2311.11463
Despite the known limitations, most machine translation systems today still operate on the sentence-level. One reason for this is, that most parallel training data is only sentence-level aligned, without document-level meta information available. In
Externí odkaz:
http://arxiv.org/abs/2310.12303
Autor:
Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, Vinay Pai, Roy Adams, Matthew C. Diamond, Suchi Saria
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract A fundamental goal of evaluating the performance of a clinical model is to ensure it performs well across a diverse intended patient population. A primary challenge is that the data used in model development and testing often consist of many
Externí odkaz:
https://doaj.org/article/0dbaf911a51241f4974a46bfb135b97b
Autor:
Feng, Jean, Gossmann, Alexej, Pirracchio, Romain, Petrick, Nicholas, Pennello, Gene, Sahiner, Berkman
In a well-calibrated risk prediction model, the average predicted probability is close to the true event rate for any given subgroup. Such models are reliable across heterogeneous populations and satisfy strong notions of algorithmic fairness. Howeve
Externí odkaz:
http://arxiv.org/abs/2307.15247
Autor:
Pavlak, Mitchell, Drenkow, Nathan, Petrick, Nicholas, Farhangi, Mohammad Mehdi, Unberath, Mathias
To safely deploy deep learning-based computer vision models for computer-aided detection and diagnosis, we must ensure that they are robust and reliable. Towards that goal, algorithmic auditing has received substantial attention. To guide their audit
Externí odkaz:
http://arxiv.org/abs/2304.03218
Autor:
Thompson, Yee Lam Elim, Levine, Gary M, Chen, Weijie, Sahiner, Berkman, Li, Qin, Petrick, Nicholas, Delfino, Jana G, Lago, Miguel A, Cao, Qian, Samuelson, Frank W
In the past decade, Artificial Intelligence (AI) algorithms have made promising impacts to transform healthcare in all aspects. One application is to triage patients' radiological medical images based on the algorithm's binary outputs. Such AI-based
Externí odkaz:
http://arxiv.org/abs/2303.07050
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-6 (2024)
Abstract Background Klebsiella pneumoniae invasive syndrome (KPIS) is characterized by primary pyogenic liver abscess associated with metastatic infections. Although rare, Klebsiella endocarditis carries a high mortality risk. Case presentation A 60-
Externí odkaz:
https://doaj.org/article/1ca09cc5b44c4c4480d9e92402b9f580
Autor:
Anna Kirsch, Felix Niebhagen, Miriam Goldammer, Sandra Waske, Lars Heubner, Paul Petrick, Andreas Güldner, Thea Koch, Peter Spieth, Mario Menk
Publikováno v:
Journal of Anesthesia, Analgesia and Critical Care, Vol 4, Iss 1, Pp 1-14 (2024)
Abstract Background The presence of nucleated red blood cells (NRBCs) in the peripheral blood of critically ill patients is associated with poor outcome. Evidence regarding the predictive value of NRBCs in patients with SARS-CoV-2-induced acute respi
Externí odkaz:
https://doaj.org/article/1849718548384a70ad5e83f41c8ba28b