24 citations · 29 across the 4 of their papers we have counts for
4 papers
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications
Somaye Hashemifar, Claudia Iriondo, Evan Casey +2
The ability to predict the future trajectory of a patient is a key step toward the development of therapeutics for complex diseases such as Alzheimer's disease (AD). However, most…
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Arjun D. Desai, Francesco Caliva, Claudia Iriondo +26
Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthriti…
Adversarial Policy Gradient for Deep Learning Image Augmentation
Kaiyang Cheng, Claudia Iriondo, Francesco Calivá +3
The use of semantic segmentation for masking and cropping input images has proven to be a significant aid in medical imaging classification tasks by decreasing the noise and varian…
Distance Map Loss Penalty Term for Semantic Segmentation
Francesco Caliva, Claudia Iriondo, Alejandro Morales Martinez +2
Convolutional neural networks for semantic segmentation suffer from low performance at object boundaries. In medical imaging, accurate representation of tissue surfaces and volumes…