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STU-Net: Scalable and Transferable Medical Image Segmentation Models
  Empowered by Large-Scale Supervised Pre-training

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

13 April 2023
Ziyan Huang
Hao Wang
Zhongying Deng
Jin Ye
Yanzhou Su
Hui Sun
Junjun He
Yun Gu
Lixu Gu
Shaoting Zhang
Yu Qiao
ArXivPDFHTML

Papers citing "STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training"

12 / 12 papers shown
Title
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
H. Wang
Yifeng Wu
Huimin Huang
Hongtao Wu
Jia-Xuan Jiang
...
Hao Zheng
Xian Wu
Yefeng Zheng
Jinping Xu
Jing Cheng
MedIm
21
0
0
09 May 2025
Automated segmenta-on of pediatric neuroblastoma on mul--modal MRI: Results of the SPPIN challenge at MICCAI 2023
Automated segmenta-on of pediatric neuroblastoma on mul--modal MRI: Results of the SPPIN challenge at MICCAI 2023
M.A.D. Buser
D.C. Simons
M. Fitski
M.H.W.A. Wijnen
A.S. Littooij
...
M.R. Aizenberg
B.H.M. van der Velden
H. Kuijf
A. De Luca
A.F.W. van der Steeg
23
0
0
01 May 2025
Towards Universal Text-driven CT Image Segmentation
Yuheng Li
Yuxiang Lai
Maria Thor
Deborah Marshall
Zachary Buchwald
D. Yu
Xiaofeng Yang
MedIm
VLM
50
2
0
08 Mar 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan L. Yuille
Zongwei Zhou
MedIm
41
8
0
20 Jan 2025
Revisiting MAE pre-training for 3D medical image segmentation
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
Autopet III challenge: Incorporating anatomical knowledge into nnUNet
  for lesion segmentation in PET/CT
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
Hamza Kalisch
Fabian Horst
Ken Herrmann
Jens Kleesiek
C. Seibold
16
0
0
18 Sep 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Amir Mohammad Karimi Mamaghan
Samuele Papa
Karl Henrik Johansson
Stefan Bauer
Andrea Dittadi
OCL
42
5
0
22 Jul 2024
AnatoMask: Enhancing Medical Image Segmentation with
  Reconstruction-guided Self-masking
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking
Yuheng Li
Tianyu Luan
Yizhou Wu
Shaoyan Pan
Yenho Chen
Xiaofeng Yang
28
4
0
09 Jul 2024
Comprehensive Generative Replay for Task-Incremental Segmentation with
  Concurrent Appearance and Semantic Forgetting
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting
Wei Li
Jingyang Zhang
Pheng-Ann Heng
Lixu Gu
CLL
DiffM
39
2
0
28 Jun 2024
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
D. Labella
Ujjwal Baid
O. Khanna
Shan McBurney-Lin
Ryan McLean
...
A. Abouelatta
Tanvir Rizvi
Klara Willms
Dann C. Martin
Abdullah Okar
36
7
0
16 May 2024
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
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
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
1