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07/07/2020
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI
Previous studies on computer aided detection/diagnosis (CAD) in 4D breas...
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06/28/2019
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN
Purpose: To propose pseudo-color mammograms that enhance mammographic ma...
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09/25/2018
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI
We propose a new method for breast cancer screening from DCE-MRI based o...
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07/20/2018
Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI
There is a heated debate on how to interpret the decisions provided by d...
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07/20/2018
Lesion Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI
There is a heated debate on how to interpret the decisions provided by d...
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06/06/2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
International challenges have become the standard for validation of biom...
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06/01/2018
Producing radiologist-quality reports for interpretable artificial intelligence
Current approaches to explaining the decisions of deep learning systems ...
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05/28/2018
Training Medical Image Analysis Systems like Radiologists
The training of medical image analysis systems using machine learning ap...
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11/17/2017
Detecting hip fractures with radiologist-level performance using deep neural networks
We developed an automated deep learning system to detect hip fractures f...
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10/07/2016
Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach
In mammography, the efficacy of computer-aided detection methods depends...
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07/01/2016
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography
We propose new methods for the prediction of 5-year mortality in elderly...
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10/27/2014