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LesionMix: A Lesion-Level Data Augmentation Method for Medical Image
  Segmentation

LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation

17 August 2023
Berke Doga Basaran
Weitong Zhang
Mengyun Qiao
Bernhard Kainz
Paul M. Matthews
Wenjia Bai
    MedIm
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Papers citing "LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation"

5 / 5 papers shown
Title
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis
  Lesions with Anatomical Constraints and Lesion-aware Augmentation
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation
Berke Doga Basaran
Paul M. Matthews
Wenjia Bai
86
0
0
14 Dec 2024
SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis
  Lesions with Anatomical Constraints
SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints
Berke Doga Basaran
Xinru Zhang
Paul M. Matthews
Wenjia Bai
39
1
0
02 Oct 2024
Analyzing Tumors by Synthesis
Analyzing Tumors by Synthesis
Qi Chen
Yuxiang Lai
Xiaoxi Chen
Qixin Hu
Alan Yuille
Zongwei Zhou
35
3
0
09 Sep 2024
A Foundation Model for Brain Lesion Segmentation with Mixture of
  Modality Experts
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
Xinru Zhang
N. Ou
Berke Doga Basaran
Marco Visentin
Mengyun Qiao
...
Ouyang Cheng
Yaou Liu
Paul M. Matthew
Chuyang Ye
Wenjia Bai
MedIm
45
4
0
16 May 2024
Adnexal Mass Segmentation with Ultrasound Data Synthesis
Adnexal Mass Segmentation with Ultrasound Data Synthesis
Clara Lebbos
J. Barcroft
Jeremy Tan
J. Müller
Matthew Baugh
Athanasios Vlontzos
S. Saso
Bernhard Kainz
26
2
0
25 Sep 2022
1