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A New Probabilistic V-Net Model with Hierarchical Spatial Feature
  Transform for Efficient Abdominal Multi-Organ Segmentation

A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation

2 August 2022
Minfeng Xu
Heng Guo
Jianfeng Zhang
K. Yan
Le Lu
ArXiv (abs)PDFHTML

Papers citing "A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation"

14 / 14 papers shown
Title
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image
  Segmentation
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Yutong Xie
Jianpeng Zhang
Chunhua Shen
Yong-quan Xia
ViTMedIm
86
502
0
04 Mar 2021
TransUNet: Transformers Make Strong Encoders for Medical Image
  Segmentation
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le Lu
Alan Yuille
Yuyin Zhou
ViTMedIm
100
3,506
0
08 Feb 2021
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
SSegOOD
116
346
0
28 Oct 2020
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedImLM&MA
258
436
0
09 Mar 2020
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
175
2,695
0
18 Mar 2019
Recovering Realistic Texture in Image Super-resolution by Deep Spatial
  Feature Transform
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
Xintao Wang
K. Yu
Chao Dong
Chen Change Loy
SupR
80
984
0
09 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
49
275
0
14 Mar 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
70
1,356
0
16 Feb 2018
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
372
2,239
0
22 Sep 2017
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
143
2,153
0
11 Jul 2017
Modulating early visual processing by language
Modulating early visual processing by language
H. D. Vries
Florian Strub
Jérémie Mary
Hugo Larochelle
Olivier Pietquin
Aaron Courville
152
489
0
02 Jul 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
186
4,378
0
20 Mar 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
248
8,737
0
15 Jun 2016
DeepOrgan: Multi-level Deep Convolutional Networks for Automated
  Pancreas Segmentation
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
H. Roth
Le Lu
A. Farag
Hoo-Chang Shin
Jiamin Liu
E. Turkbey
Ronald M. Summers
SSegMedIm
78
747
0
22 Jun 2015
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