What can Artificial Intelligence infer from computed tomography images of smokers? In this Journal publication, Sierra’s researchers in union with Brigham and Women’s Hospital and Partners develop staging and prognosis models for subjects suffering from COPD. The neural networks are thoroughly tested in several large databases, obtaining high areas under the curve. The full article…
Biomarker computation using deep-learning often relies on a two-step process, where the deep learning algorithm segments the region of interest and then the biomarker is measured. We propose an alternative paradigm, where the biomarker is estimated directly using a regression network. We showcase this image-to- biomarker paradigm using two biomarkers: the estimation of bone mineral…
Introduction: The Agatston score is a well-established metric of cardiovascular disease related to clinical outcomes. It is computed from CT scans by a) measuring the volume and intensity of the atherosclerotic plaques and b) aggregating such information in an index. Objective: To generate a convolutional neural network that inputs a non-contrast chest CT scan and…
Can we generate a single multi-structure segmentation network from partially annotated datasets? In this conference paper Sierra’s researchers in conjunction with Brigham and Women’s Hospital answer such question, showing that a) it is equivalent to use a single unet and b) that adding convolutions on the skip connections further improve segmentation results. The full article…
Given a biomarker regression network, what is the effect of training with different cost functions? In this conference publications, Sierra’s researcher investigate the influence of training with L1, L2, L1 in logarithmic scale or L2 in logarithmic scale for the problem of Agatston score regression from CT volumetric images center at the heart. There is…
Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium‐to‐large datasets. In this journal paper, Sierra’s researchers, in collaboration with PNP Research Corporation (MA, USA) and the Wellman Center for Photomedicine (Boston, MA, USA), discuss how to handle large microscopy datasets and process them automatically…