Benefits of Linear Conditioning with Metadata for Image Segmentation

18 February 2021

Papers citing "Benefits of Linear Conditioning with Metadata for Image Segmentation"

5 / 5 papers shown

Title
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation B. Cassidy Christian Mcbride Connah Kendrick N. Reeves Joseph M Pappachan Shaghayegh Raad Moi Hoon Yap 43 0 0 07 Mar 2025
Metadata Improves Segmentation Through Multitasking Elicitation Iaroslav Plutenko Mikhail Papkov K. Palo L. Parts D. Fishman 8 0 0 18 Aug 2023
Label fusion and training methods for reliable representation of inter-rater uncertainty A. Lemay C. Gros Enamundram Naga Karthik Julien Cohen-Adad 22 12 0 15 Feb 2022
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation Olivier Vincent C. Gros Julien Cohen-Adad 24 10 0 05 May 2021
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 214 1,156 0 24 Oct 2016