research
∙
09/06/2023
Kidney abnormality segmentation in thorax-abdomen CT scans
In this study, we introduce a deep learning approach for segmenting kidn...
share
research
∙
09/05/2023
Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks
Accurate identification of emphysema subtypes and severity is crucial fo...
research
∙
06/21/2023
Lumbar spine segmentation in MR images: a dataset and a public benchmark
This paper presents a large publicly available multi-center lumbar spine...
research
∙
06/18/2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Challenges drive the state-of-the-art of automated medical image analysi...
research
∙
07/13/2022
Domain adaptation strategies for cancer-independent detection of lymph node metastases
Recently, large, high-quality public datasets have led to the developmen...
research
∙
01/12/2022
Structure and position-aware graph neural network for airway labeling
We present a novel graph-based approach for labeling the anatomical bran...
research
∙
12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
research
∙
09/30/2021
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
Semantic segmentation neural networks require pixel-level annotations in...
research
∙
06/01/2021
Deep Clustering Activation Maps for Emphysema Subtyping
We propose a deep learning clustering method that exploits dense feature...
research
∙
05/25/2021
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients
Automatic lesion segmentation on thoracic CT enables rapid quantitative ...
research
∙
05/03/2021
Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning
Total lung volume is an important quantitative biomarker and is used for...
research
∙
04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
research
∙
03/25/2021
Deep Learning with robustness to missing data: A novel approach to the detection of COVID-19
In the context of the current global pandemic and the limitations of the...
research
∙
03/15/2021
Deep Learning for Chest X-ray Analysis: A Survey
Recent advances in deep learning have led to a promising performance in ...
research
∙
01/16/2021
Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation
We propose a novel framework for controllable pathological image synthes...
research
∙
11/29/2020
Constraining Volume Change in Learned Image Registration for Lung CTs
Deep-learning-based registration methods emerged as a fast alternative t...
research
∙
09/23/2020
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
Background and Objective: Accurate and reliable segmentation of the pros...
research
∙
09/21/2020
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...
research
∙
04/16/2020
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...
research
∙
03/13/2020
Random smooth gray value transformations for cross modality learning with gray value invariant networks
Random transformations are commonly used for augmentation of the trainin...
research
∙
11/11/2019
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
Due to memory constraints on current hardware, most convolution neural n...
research
∙
10/16/2019
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...
research
∙
10/09/2019
BIAS: Transparent reporting of biomedical image analysis challenges
The number of biomedical image analysis challenges organized per year is...
research
∙
09/26/2019
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans
Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbi...
research
∙
09/26/2019
Follows Form: Regression from Complete Thoracic Computed Tomography Scans
Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbi...
research
∙
09/22/2019
mlVIRNET: Multilevel Variational Image Registration Network
We present a novel multilevel approach for deep learning based image reg...
research
∙
08/15/2019
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...
research
∙
07/18/2019
Automated Gleason Grading of Prostate Biopsies using Deep Learning
The Gleason score is the most important prognostic marker for prostate c...
research
∙
07/02/2019
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 ...
research
∙
03/22/2019
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...
research
∙
03/08/2019
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...
research
∙
02/25/2019
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...
research
∙
01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
research
∙
12/03/2018
Chest X-Rays Image Inpainting with Context Encoders
Chest X-rays are one of the most commonly used technologies for medical ...
research
∙
11/30/2018
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 ...
research
∙
09/13/2018
GANs for Medical Image Analysis
Generative Adversarial Networks (GANs) and their extensions have carved ...
research
∙
08/29/2018
Chest X-ray Inpainting with Deep Generative Models
Generative adversarial networks have been successfully applied to inpain...
research
∙
08/17/2018
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...
research
∙
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...
research
∙
04/12/2018
Iterative fully convolutional neural networks for automatic vertebra segmentation
Precise segmentation of the vertebrae is often required for automatic de...
research
∙
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...
research
∙
11/01/2017
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...
research
∙
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...
research
∙
03/17/2017
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images
Tissue segmentation is an important pre-requisite for efficient and accu...
research
∙
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...
research
∙
12/23/2016
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...
research
∙
10/28/2016
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
The introduction of lung cancer screening programs will produce an unpre...
research
∙
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...
research
∙
10/16/2016
