Search Results for author: Elsa D. Angelini

Found 8 papers, 0 papers with code

Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study

no code implementations28 Feb 2024 Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine

Robust quantification of pulmonary emphysema on computed tomography (CT) remains challenging for large-scale research studies that involve scans from different scanner types and for translation to clinical scans.

Computed Tomography (CT) Segmentation

Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images

no code implementations13 Feb 2024 Antoine Habis, Roy Rosman Nathanson, Vannary Meas-Yedid, Elsa D. Angelini, Jean-Christophe Olivo-Marin

This paper proposes a dynamic interactive and weakly supervised segmentation method with minimal user interactions to address two major challenges in the segmentation of whole slide histopathology images.

Segmentation Weakly supervised segmentation +1

Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning

no code implementations9 Jul 2020 Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine

Pulmonary emphysema overlaps considerably with chronic obstructive pulmonary disease (COPD), and is traditionally subcategorized into three subtypes previously identified on autopsy.

Computed Tomography (CT)

Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis

no code implementations19 Dec 2018 Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

In neuroimaging studies, the human cortex is commonly modeled as a sphere to preserve the topological structure of the cortical surface.

General Classification

Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules

no code implementations4 Jul 2017 Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

Automated detection and segmentation of pulmonary nodules on lung computed tomography (CT) scans can facilitate early lung cancer diagnosis.

Computed Tomography (CT) General Classification +4

Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study

no code implementations5 Dec 2016 Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine

Pulmonary emphysema is traditionally subcategorized into three subtypes, which have distinct radiological appearances on computed tomography (CT) and can help with the diagnosis of chronic obstructive pulmonary disease (COPD).

Computed Tomography (CT)

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