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Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy
  Families All Alike?

Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?

1 January 2021
Jun Ma
ArXivPDFHTML

Papers citing "Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?"

13 / 13 papers shown
Title
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
Grzegorz Skorupko
Fotios Avgoustidis
Carlos Martín-Isla
Lidia Garrucho
Dimitri A. Kessler
...
Katarzyna Gwo'zdziewicz
Xavier Bargalló
Paulius Jaruševičius
Kaisar Kushibar
Karim Lekadir
FedML
103
0
0
04 Mar 2025
Quantifying the Impact of Population Shift Across Age and Sex for
  Abdominal Organ Segmentation
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation
Kate Čevora
Ben Glocker
Wenjia Bai
OOD
34
0
0
08 Aug 2024
U-Mamba: Enhancing Long-range Dependency for Biomedical Image
  Segmentation
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Jun Ma
Feifei Li
Bo Wang
Mamba
82
339
0
09 Jan 2024
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep
  Learning-based Medical Segmentation
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation
Thomas Buddenkotte
L. E. Sanchez
Mireia Crispin-Ortuzar
Ramona Woitek
C. McCague
James D. Brenton
Ozan Oktem
Evis Sala
L. Rundo
UQCV
23
2
0
20 Sep 2022
Extending nnU-Net is all you need
Extending nnU-Net is all you need
Fabian Isensee
Constantin Ulrich
Tassilo Wald
Klaus H. Maier-Hein
SSeg
16
31
0
23 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
34
152
0
28 Jul 2022
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
69
952
0
10 Jun 2021
OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography
  Study
OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study
Mingchao Li
Kun Huang
Qiuzhuo Xu
Jiadong Yang
Yuhan Zhang
Zexuan Ji
Keren Xie
Songtao Yuan
Qinghuai Liu
Qiang Chen
29
86
0
14 Dec 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSeg
OOD
28
328
0
28 Oct 2020
Modality-Pairing Learning for Brain Tumor Segmentation
Modality-Pairing Learning for Brain Tumor Segmentation
Yixin Wang
Yao Zhang
Feng Hou
Yang Liu
Jiang Tian
Cheng Zhong
Yang Zhang
Zhiqiang He
72
66
0
19 Oct 2020
A Characteristic Function-based Algorithm for Geodesic Active Contours
A Characteristic Function-based Algorithm for Geodesic Active Contours
Jun Ma
Dong Wang
Xiaoping Wang
Xiaoping Yang
26
24
0
01 Jul 2020
The Liver Tumor Segmentation Benchmark (LiTS)
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
...
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern H. Menze
35
990
0
13 Jan 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
349
10,639
0
19 Feb 2017
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