research
∙
08/15/2023
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease
Machine learning methods have shown large potential for the automatic ea...
share
research
∙
05/04/2023
Comparison of different retinal regions-of-interest imaged by OCT for the classification of intermediate AMD
To study whether it is possible to differentiate intermediate age-relate...
research
∙
06/29/2022
Computer-aided diagnosis and prediction in brain disorders
Computer-aided methods have shown added value for diagnosing and predict...
research
∙
12/15/2021
Ten years of image analysis and machine learning competitions in dementia
Machine learning methods exploiting multi-parametric biomarkers, especia...
research
∙
09/06/2021
Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review
The optic nerve head represents the intraocular section of the optic ner...
research
∙
08/19/2021
Reproducible radiomics through automated machine learning validated on twelve clinical applications
Radiomics uses quantitative medical imaging features to predict clinical...
research
∙
07/20/2021
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions
Despite technological and medical advances, the detection, interpretatio...
research
∙
03/22/2021
Evaluating glioma growth predictions as a forward ranking problem
The problem of tumor growth prediction is challenging, but promising res...
research
∙
12/28/2020
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration
This work presents a single-step deep-learning framework for longitudina...
research
∙
12/16/2020
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease
This work validates the generalizability of MRI-based classification of ...
research
∙
11/03/2020
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI
Analysis of longitudinal changes in imaging studies often involves both ...
research
∙
10/14/2020
Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
Distinguishing gastrointestinal stromal tumors (GISTs) from other intra-...
research
∙
10/09/2020
WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning
Accurate characterization of glioma is crucial for clinical decision mak...
research
∙
09/15/2020
Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations
Alzheimer's disease (AD) is the most common form of dementia and is phen...
research
∙
05/13/2020
Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration
We propose an unsupervised deep learning method for atlas based registra...
research
∙
02/09/2020
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
We present the findings of "The Alzheimer's Disease Prediction Of Longit...
research
∙
01/23/2020
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
The TADPOLE Challenge compares the performance of algorithms at predicti...
research
∙
09/25/2019
Towards continuous learning for glioma segmentation with elastic weight consolidation
When finetuning a convolutional neural network (CNN) on data from a new ...
research
∙
09/25/2019
Multi-modal segmentation with missing MR sequences using pre-trained fusion networks
Missing data is a common problem in machine learning and in retrospectiv...
research
∙
09/19/2019
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network
Deep learning has been successfully demonstrated in MRI reconstruction o...
research
∙
08/26/2019
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes
To accurately analyze changes of anatomical structures in longitudinal i...
research
∙
08/12/2019
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
Degeneration of articular cartilage (AC) is actively studied in knee ost...
research
∙
04/12/2019
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Knee osteoarthritis (OA) is the most common musculoskeletal disease with...
research
∙
03/08/2019
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
Event-based models (EBM) are a class of disease progression models that ...
research
∙
08/10/2018
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling
Alzheimer's Disease (AD) is characterized by a cascade of biomarkers bec...
research
∙
05/10/2018
TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) C...
research
∙
02/21/2017