Athinoula A. Martinos Center for Biomedical Imaging

Introduction to Machine Learning, Neural Networks, and Deep Learning.

Rene Y Choi, Aaron S Coyner, Jayashree Kalpathy-Cramer et al.

2020 · 998 Zit.

The RSNA Pediatric Bone Age Machine Learning Challenge

Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer et al.

2018 · 453 Zit.

A Computerized Algorithm for Etiologic Classification of Ischemic Stroke

Hakan Ay, Thomas Benner, Ethem Murat Arsava et al.

2007 · 450 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 · 400 Zit.

Distributed deep learning networks among institutions for medical imaging

Ken Chang, Niranjan Balachandar, Carson Lam et al.

2018 · 345 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 · 167 Zit.

Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks

Matthew Li, Nishanth Arun, Mishka Gidwani et al.

2020 · 157 Zit.

Privacy preservation for federated learning in health care

Sarthak Pati, Sourav Kumar, A. Varma et al.

2024 · 134 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 · 126 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 · 105 Zit.

Assessment of the Predictive Validity of Etiologic Stroke Classification

Ethem Murat Arsava, Johanna Helenius, Ross Avery et al.

2017 · 100 Zit.

SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging

Miao Zhang, Liangqiong Qu, Praveer Singh et al.

2022 · 77 Zit.

Challenges for machine learning in clinical translation of big data imaging studies

Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan et al.

2022 · 59 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.

From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer

Satvik Tripathi, Azadeh Tabari, Arian Mansur et al.

2024 · 50 Zit.