most citedInvestigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 2 cited

Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun +2

Data uncertainties, such as sensor noise, occlusions or limitations in the acquisition method can introduce irreducible ambiguities in images, which result in varying, yet plausibl…

cs.CV2022

Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun +2

Melanoma is a serious form of skin cancer with high mortality rate at later stages. Fortunately, when detected early, the prognosis of melanoma is promising and malignant melanoma…