Tyche: Stochastic In-Context Learning for Medical Image Segmentation

Tyche: Stochastic In-Context Learning for Medical Image Segmentation

24 January 2024

Jose Javier Gonzalez Ortiz

Adrian V. Dalca

Papers citing "Tyche: Stochastic In-Context Learning for Medical Image Segmentation"

9 / 9 papers shown

Title
X-GAN: A Generative AI-Powered Unsupervised Model for High-Precision Segmentation of Retinal Main Vessels toward Early Detection of Glaucoma Cheng Huang Weizheng Xie Tsengdar Lee Jui-Kai Wang Karanjit S Kooner Jia Zhang 51 1 0 09 Mar 2025
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 74 1 0 25 Nov 2024
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching Donggyun Kim Jinwoo Kim Seongwoong Cho Chong Luo Seunghoon Hong VLM 38 23 0 27 Mar 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models L. Zbinden Lars Doorenbos Theodoros Pissas Adrian Thomas Huber Raphael Sznitman Pablo Márquez-Neila DiffM 29 30 0 15 Mar 2023
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding C. Seibold Simon Reiß Saquib Sarfraz M. Fink Victoria L. Mayer Jan Sellner Moon S. Kim Klaus H. Maier-Hein Jens Kleesiek Rainer Stiefelhagen 18 18 0 07 Oct 2022
PanNuke Dataset Extension, Insights and Baselines Jevgenij Gamper Navid Alemi Koohbanani Ksenija Benes S. Graham Mostafa Jahanifar S. Khurram A. Azam K. Hewitt Nasir M. Rajpoot 103 171 0 24 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 240 11,568 0 09 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015