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09/07/2023
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Data augmentation (DA) is a key factor in medical image analysis, such a...
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10/25/2022
'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient
With the rise in importance of personalized medicine, we trained persona...
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02/02/2021
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
Detector-based spectral computed tomography is a recent dual-energy CT (...
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09/30/2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
The lack of fine-grained annotations hinders the deployment of automated...
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01/31/2019
Automated brain extraction of multi-sequence MRI using artificial neural networks
Brain extraction is a critical preprocessing step in the analysis of MRI...
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11/21/2018
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
The task of localizing and categorizing objects in medical images often ...
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07/17/2018
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images
End-to-end deep learning improves breast cancer classification on diffus...
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11/28/2017
Adversarial Networks for Prostate Cancer Detection
The large number of trainable parameters of deep neural networks renders...
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02/27/2017
Revealing Hidden Potentials of the q-Space Signal in Breast Cancer
Mammography screening for early detection of breast lesions currently su...
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02/26/2017
