74 citations · 112 across the 4 of their papers we have counts for
4 papers
Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns
Babak Haghighi, Warren B. Gefter, Lauren Pantalone +2
Purpose: To utilize high-resolution quantitative CT (QCT) imaging features for prediction of diagnosis and prognosis in fibrosing interstitial lung diseases (ILD). Approach: 40 ILD…
MammoFL: Mammographic Breast Density Estimation using Federated Learning
Ramya Muthukrishnan, Angelina Heyler, Keshava Katti +11
In this study, we automate quantitative mammographic breast density estimation with neural networks and show that this tool is a strong use case for federated learning on multi-ins…
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
Sarthak Pati, Siddhesh P. Thakur, İbrahim Ethem Hamamcı +39
Deep Learning (DL) has the potential to optimize machine learning in both the scientific and clinical communities. However, greater expertise is required to develop DL algorithms,…
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment
Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher Scott +7
Breast density is an important risk factor for breast cancer that also affects the specificity and sensitivity of screening mammography. Current federal legislation mandates report…