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Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep
  Learning

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

20 May 2024
Zheyuan Zhang
Elif Keles
Gorkem Durak
Yavuz Taktak
Onkar Susladkar
Vandan Gorade
Debesh Jha
A. Ormeci
Alpay Medetalibeyoglu
Lanhong Yao
Bin Wang
I. Isler
Linkai Peng
Hongyi Pan
C. Vendrami
Amir Bourhani
Yury Velichko
Boqing Gong
C. Spampinato
A. Pyrros
Pallavi Tiwari
D. Klatte
M. Engels
S. Hoogenboom
C. Bolan
Emil Agarunov
Nassier Harfouch
Chenchan Huang
Marc Bruno
Ivo G. Schoots
Rajesh N. Keswani
Frank H. Miller
Tamas Gonda
Cemal Yazici
T. Tirkes
Baris Turkbey
Michael B. Wallace
Ulas Bagci
    OOD
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Papers citing "Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning"

13 / 13 papers shown
Title
TAGS: 3D Tumor-Adaptive Guidance for SAM
TAGS: 3D Tumor-Adaptive Guidance for SAM
Sirui Li
Linkai Peng
Zheyuan Zhang
Gorkem Durak
Ulas Bagci
MedIm
VLM
175
0
0
21 May 2025
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic
  Model
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu
Rao Fu
Huihui Fang
Yu Zhang
Yehui Yang
Haoyi Xiong
Huiying Liu
Yanwu Xu
MedIm
VLM
DiffM
119
249
0
01 Nov 2022
SSformer: A Lightweight Transformer for Semantic Segmentation
SSformer: A Lightweight Transformer for Semantic Segmentation
W. Shi
Jing Xu
Pan Gao
ViT
27
33
0
03 Aug 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViT
MedIm
115
1,122
0
04 Jan 2022
WORD: A large scale dataset, benchmark and clinical applicable study for
  abdominal organ segmentation from CT image
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Xiangde Luo
Wenjun Liao
Jianghong Xiao
Jieneng Chen
Tao Song
Xiaofan Zhang
Kang Li
Dimitris N. Metaxas
Guotai Wang
Shaoting Zhang
49
129
0
03 Nov 2021
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
106
981
0
10 Jun 2021
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
191
1,700
0
08 Jun 2020
Multi-organ Segmentation over Partially Labeled Datasets with
  Multi-scale Feature Abstraction
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
Xi Fang
Pingkun Yan
SSeg
63
175
0
01 Jan 2020
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional
  Neural Networks
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks
Ningning Zhao
Nuo Tong
Dan Ruan
K. Sheng
SSeg
MedIm
53
52
0
05 Jun 2019
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware
  U-Net
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net
Yunze Man
Yangsibo Huang
Junyi Feng
Xi Li
Leilei Gan
SSeg
40
124
0
19 Apr 2019
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
157
5,036
0
11 Apr 2018
An application of cascaded 3D fully convolutional networks for medical
  image segmentation
An application of cascaded 3D fully convolutional networks for medical image segmentation
H. Roth
H. Oda
Xiangrong Zhou
N. Shimizu
Ying Yang
Y. Hayashi
M. Oda
M. Fujiwara
K. Misawa
K. Mori
37
275
0
14 Mar 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
76,917
0
18 May 2015
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