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Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation
We propose a novel framework for controllable pathological image synthes...
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Constraining Volume Change in Learned Image Registration for Lung CTs
Deep-learning-based registration methods emerged as a fast alternative t...
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Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
Background and Objective: Accurate and reliable segmentation of the pros...
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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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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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Random smooth gray value transformations for cross modality learning with gray value invariant networks
Random transformations are commonly used for augmentation of the trainin...
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Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
Due to memory constraints on current hardware, most convolution neural n...
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Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks
Interpretability of deep learning (DL) systems is gaining attention in m...
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BIAS: Transparent reporting of biomedical image analysis challenges
The number of biomedical image analysis challenges organized per year is...
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Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans
Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbi...
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Follows Form: Regression from Complete Thoracic Computed Tomography Scans
Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbi...
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mlVIRNET: Multilevel Variational Image Registration Network
We present a novel multilevel approach for deep learning based image reg...
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A deep learning model for segmentation of geographic atrophy to study its long-term natural history
Purpose: To develop and validate a deep learning model for automatic seg...
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Automated Gleason Grading of Prostate Biopsies using Deep Learning
The Gleason score is the most important prognostic marker for prostate c...
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FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis
In this work, we propose a method to reject out-of-distribution samples ...
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Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration
Purpose: To validate the performance of a commercially-available, CE-cer...
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Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
There is a growing interest in the automated analysis of chest X-Ray (CX...
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A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Semantic segmentation of medical images aims to associate a pixel with a...
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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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Chest X-Rays Image Inpainting with Context Encoders
Chest X-rays are one of the most commonly used technologies for medical ...
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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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GANs for Medical Image Analysis
Generative Adversarial Networks (GANs) and their extensions have carved ...
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Chest X-ray Inpainting with Deep Generative Models
Generative adversarial networks have been successfully applied to inpain...
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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
Prostate cancer (PCa) is graded by pathologists by examining the archite...
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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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Iterative fully convolutional neural networks for automatic vertebra segmentation
Precise segmentation of the vertebrae is often required for automatic de...
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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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Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions
Heavy smokers undergoing screening with low-dose chest CT are affected b...
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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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Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images
Tissue segmentation is an important pre-requisite for efficient and accu...
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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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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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Towards automatic pulmonary nodule management in lung cancer screening with deep learning
The introduction of lung cancer screening programs will produce an unpre...
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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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Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
The anatomical location of imaging features is of crucial importance for...
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