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20182022
most citedLung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics

42 citations · 78 across the 8 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.LG2021★ 3 cited

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…

q-bio.QM2021★ 1 cited

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…

q-bio.QM2021★ 1 cited

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…

q-bio.QM2021★ 23 cited

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…

eess.IV2021★ 42 cited

Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics

Junhua Chen, Haiyan Zeng, Chong Zhang +4

Early diagnosis of lung cancer is a key intervention for the treatment of lung cancer computer aided diagnosis (CAD) can play a crucial role. However, most published CAD methods tr…