Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data

1 May 2023

Papers citing "Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data"

5 / 5 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 91 1 0 25 Nov 2024
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation Mingzhou Jiang Jiaying Zhou Junde Wu Tianyang Wang Yueming Jin Min Xu MedIm 52 3 0 16 Mar 2024
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma Christiaan G. A. Viviers Mark Ramaekers Amaan Valiuddin Terese A. E. Hellström Nick Tasios ... Lotte J. S. Ewals Joost Nederend Peter H. N. de With M. Luyer Fons van der Sommen 24 3 0 01 Oct 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging M. Valiuddin Christiaan G. A. Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 36 2 0 31 Jul 2023
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 29 78 0 05 Oct 2022