output
20142025
most citedExploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images

45 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2025★ 20 cited

Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate

Leonardo Geronzi, Antonio Martinez, Michel Rochette +13

Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local and global shape features to pre…

eess.IV2021★ 3 cited

Reproducibility and Evolution of Diffusion MRI Measurements within the Cervical Spinal Cord in Multiple Sclerosis

Haykel Snoussi, Emmanuel Caruyer, Benoit Combes +5

In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and how the pathology is exhibited on brain images, this is known as the clinical-radiolo…

eess.IV2021★ 4 cited

Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord

Haykel Snoussi, Julien Cohen-Adad, Benoit Combes +5

Multiple sclerosis is an inflammatory disorder of the central nervous system. Quantitative MRI has huge potential to provide intrinsic and normative values of tissue properties use…

eess.IV2021★ 45 cited

Exploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images

Sk Imran Hossain, Jocelyn de Goër de Herve, Md Shahriar Hassan +16

Lyme disease which is one of the most common infectious vector-borne diseases manifests itself in most cases with erythema migrans (EM) skin lesions. Recent studies show that convo…