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09/06/2023
Kidney abnormality segmentation in thorax-abdomen CT scans
In this study, we introduce a deep learning approach for segmenting kidn...
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09/05/2023
Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks
Accurate identification of emphysema subtypes and severity is crucial fo...
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01/12/2022
Structure and position-aware graph neural network for airway labeling
We present a novel graph-based approach for labeling the anatomical bran...
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06/01/2021
Deep Clustering Activation Maps for Emphysema Subtyping
We propose a deep learning clustering method that exploits dense feature...
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05/25/2021
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients
Automatic lesion segmentation on thoracic CT enables rapid quantitative ...
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09/21/2020
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study
Amidst the ongoing pandemic, several studies have shown that COVID-19 cl...
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04/16/2020
Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients
Pulmonary lobe segmentation in computed tomography scans is essential fo...
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01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
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11/30/2018
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
We propose iW-Net, a deep learning model that allows for both automatic ...
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12/23/2016
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
Automatic detection of pulmonary nodules in thoracic computed tomography...
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10/28/2016