Athinoula A. Martinos Center for Biomedical Imaging
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The RSNA Pediatric Bone Age Machine Learning Challenge
Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer et al.
2018 · 441 Zit.
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Harrison X. Bai, Robin Wang, Zeng Xiong et al.
2020 · 399 Zit.
Distributed deep learning networks among institutions for medical imaging
Ken Chang, Niranjan Balachandar, Carson Lam et al.
2018 · 340 Zit.
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
Nishanth Arun, Nathan Gaw, Praveer Singh et al.
2021 · 251 Zit.
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions
Luciano M. Prevedello, Safwan S. Halabi, George Shih et al.
2019 · 161 Zit.
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
Zhicheng Jiao, Ji Whae Choi, Kasey Halsey et al.
2021 · 122 Zit.
Privacy preservation for federated learning in health care
Sarthak Pati, Sourav Kumar, A. Varma et al.
2024 · 110 Zit.
Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology
Ting Fang Tan, Arun James Thirunavukarasu, J. Peter Campbell et al.
2023 · 97 Zit.
SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging
Miao Zhang, Liangqiong Qu, Praveer Singh et al.
2022 · 72 Zit.
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan et al.
2022 · 57 Zit.
Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge
Ian Pan, Hans Henrik Thodberg, Safwan S. Halabi et al.
2019 · 55 Zit.
Fair Conformal Predictors for Applications in Medical Imaging
Charles Lu, Andréanne Lemay, Ken Chang et al.
2022 · 43 Zit.
From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer
Satvik Tripathi, Azadeh Tabari, Arian Mansur et al.
2024 · 43 Zit.
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
Nishanth Arun, Nathan Gaw, Praveer Singh et al.
2020 · 41 Zit.
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data
Chris K. Kim, Ji Whae Choi, Zhicheng Jiao et al.
2022 · 34 Zit.