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07/26/2021
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans
Pulmonary embolus (PE) refers to obstruction of pulmonary arteries by bl...
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01/10/2021
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction
Cryo-Electron Microscopy (Cryo-EM) is a Nobel prize-winning technology f...
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10/24/2020
Automated triage of COVID-19 from various lung abnormalities using chest CT features
The outbreak of COVID-19 has lead to a global effort to decelerate the p...
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08/04/2020
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring
In this work, we estimate the severity of pneumonia in COVID-19 patients...
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07/11/2020
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation
Content-based retrieval supports a radiologist decision making process b...
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05/04/2020
Semi-supervised lung nodule retrieval
Content based image retrieval (CBIR) provides the clinician with visual ...
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04/26/2020
Joint Liver Lesion Segmentation and Classification via Transfer Learning
Transfer learning and joint learning approaches are extensively used to ...
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04/06/2020
Coronavirus Detection and Analysis on Chest CT with Deep Learning
The outbreak of the novel coronavirus, officially declared a global pand...
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03/20/2020
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data
In this paper, we present a deep learning-based image processing techniq...
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03/10/2020
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection Patient Monitoring using Deep Learning CT Image Analysis
Purpose: Develop AI-based automated CT image analysis tools for detectio...
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10/26/2019
A Soft STAPLE Algorithm Combined with Anatomical Knowledge
Supervised machine learning algorithms, especially in the medical domain...
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08/20/2019
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data
Chest radiographs are frequently used to verify the correct intubation o...
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06/03/2019
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset
The use of ImageNet pre-trained networks is becoming widespread in the m...
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01/26/2019
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation
This paper explores the use of a soft ground-truth mask ("soft mask") to...
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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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11/01/2018
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT
Training data is the key component in designing algorithms for medical i...
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10/14/2018
Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training
The abundance of overlapping anatomical structures appearing in chest ra...
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10/04/2018
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder
Accurate segmentation of anatomical structures in chest radiographs is e...
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03/19/2018
A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications
In this paper we examine data fusion methods for multi-view data classif...
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03/03/2018
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
Deep learning methods, and in particular convolutional neural networks (...
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02/21/2018
Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection
In this work we present a novel system for generation of virtual PET ima...
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01/08/2018
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification
In this paper, we present a data augmentation method that generates synt...
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01/07/2018
Anatomical Data Augmentation For CNN based Pixel-wise Classification
In this work we propose a method for anatomical data augmentation that i...
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07/30/2017
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results
In this work we present a novel system for PET estimation using CT scans...
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07/19/2017