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08/28/2023
Improving Lesion Volume Measurements on Digital Mammograms
Lesion volume is an important predictor for prognosis in breast cancer. ...
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12/27/2022
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk
The future of population-based breast cancer screening is likely persona...
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08/17/2018
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
Manual counting of mitotic tumor cells in tissue sections constitutes on...
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01/15/2018
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR
Ventricular volume and its progression are known to be linked to several...
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05/10/2017
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
Automated classification of histopathological whole-slide images (WSI) o...
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03/22/2017
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks
We investigate the addition of symmetry and temporal context information...
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02/25/2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Magnetic Resonance Imaging (MRI) is widely used in routine clinical diag...
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10/24/2016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Lacunes of presumed vascular origin (lacunes) are associated with an inc...
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10/16/2016
