MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

25 March 2023

Constantin Ulrich

Michael Baumgartner

Klaus H. Maier-Hein

Papers citing "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"

8 / 8 papers shown

Title
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? Julio Silva-Rodríguez Jose Dolz Ismail ben Ayed VLM MedIm 31 0 0 07 Apr 2025
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 97 17 0 17 Jan 2025
Revisiting MAE pre-training for 3D medical image segmentation Tassilo Wald Constantin Ulrich Stanislav Lukyanenko Andrei Goncharov Alberto Paderno Leander Maerkisch Paul F. Jäger Paul F. Jäger Klaus Maier-Hein 37 2 0 30 Oct 2024
One model to use them all: Training a segmentation model with complementary datasets Alexander C. Jenke S. Bodenstedt F. Kolbinger Marius Distler Jürgen Weitz Stefanie Speidel 24 3 0 29 Feb 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts Ziheng Zhao Yao Zhang Chaoyi Wu Xiaoman Zhang Ya-Qin Zhang Yanfeng Wang Weidi Xie VLM MedIm 30 36 0 28 Dec 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation Julio Silva-Rodríguez Jose Dolz Ismail Ben Ayed 57 12 0 29 Mar 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection Jie Liu Yixiao Zhang Jieneng Chen Junfei Xiao Yongyi Lu Bennett A. Landman Yixuan Yuan Alan Yuille Yucheng Tang Zongwei Zhou VLM MedIm 36 188 0 02 Jan 2023
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift Gregory Filbrandt Konstantinos Kamnitsas David Bernstein Alexandra N. Taylor Ben Glocker 17 3 0 13 Jul 2021