42 citations · 78 across the 8 of their papers we have counts for
8 papers
AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline
P. M. A van Ooijen, Erfan Darzidehkalani, Andre Dekker
Artificial intelligence (AI), especially deep learning, requires vast amounts of data for training, testing, and validation. Collecting these data and the corresponding annotations…
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark
Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis +22
Lung cancer is one of the deadliest cancers, and in part its effective diagnosis and treatment depend on the accurate delineation of the tumor. Human-centered segmentation, which i…
Predicting erectile dysfunction after treatment for localized prostate cancer
Hajar Hasannejadasl, Cheryl Roumen, Henk van der Poel +12
While the 10-year survival rate for localized prostate cancer patients is very good (>98%), side effects of treatment may limit quality of life significantly. Erectile dysfunction…
Improving Reproducibility and Performance of Radiomics in Low Dose CT using Cycle GANs
Junhua Chen, Leonard Wee, Andre Dekker +1
As a means to extract biomarkers from medical imaging, radiomics has attracted increased attention from researchers. However, reproducibility and performance of radiomics in low do…
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study
Junhua Chen, Inigo Bermejo, Andre Dekker +1
Radiomics is an active area of research focusing on high throughput feature extraction from medical images with a wide array of applications in clinical practice, such as clinical…
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
Junhua Chen, Chong Zhang, Alberto Traverso +4
Radiomics is an active area of research in medical image analysis, the low reproducibility of radiomics has limited its applicability to clinical practice. This issue is especially…