HyperSpace: Hypernetworks for spacing-adaptive image segmentation

4 July 2024

Papers citing "HyperSpace: Hypernetworks for spacing-adaptive image segmentation"

9 / 9 papers shown

Title
Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Miriam Cobo David Corral Fontecha Wilson Silva Lara Lloret Iglesias OOD MedIm AI4CE 36 0 0 28 Apr 2025
Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation I. Díaz Florin Scherer Yanik Berli Roland Wiest Helly Hammer Robert Hoepner Alejandro Leon Betancourt Piotr Radojewski Richard McKinley 22 0 0 26 Mar 2025
Resolution Invariant Autoencoder Ashay Patel Michela Antonelli Sebastien Ourselin M. Jorge Cardoso OOD 69 0 0 12 Mar 2025
Truly Scale-Equivariant Deep Nets with Fourier Layers Md Ashiqur Rahman Raymond A. Yeh 42 8 0 06 Nov 2023
Reliability of CKA as a Similarity Measure in Deep Learning Mohammad-Javad Davari Stefan Horoi A. Natik Guillaume Lajoie Guy Wolf Eugene Belilovsky AAML 74 35 0 28 Oct 2022
Scale Equivariant U-Net Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo SSeg 16 12 0 10 Oct 2022
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 74 81 0 15 Oct 2021
Hyper-Convolution Networks for Biomedical Image Segmentation Tianyu Ma Adrian V. Dalca M. Sabuncu SSeg 31 14 0 21 May 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 75,445 0 18 May 2015