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Searching Learning Strategy with Reinforcement Learning for 3D Medical
  Image Segmentation

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
10 June 2020
Dong Yang
H. Roth
Ziyue Xu
Fausto Milletari
Ling Zhang
Daguang Xu
ArXiv (abs)PDFHTML

Papers citing "Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation"

22 / 22 papers shown
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Jannis Becktepe
Leona Hennig
Steffen Oeltze-Jafra
Marius Lindauer
546
3
0
22 May 2025
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical
  Imaging
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingAAAI Conference on Artificial Intelligence (AAAI), 2024
Yimu Pan
Sitao Zhang
Alison D. Gernand
Jeffery A. Goldstein
J. Z. Wang
292
2
0
17 Dec 2024
Segmenting Medical Images with Limited Data
Segmenting Medical Images with Limited Data
Zhaoshan Liua
Qiujie Lv
Chau Hung Lee
L. Shen
255
19
0
12 Jul 2024
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide
  Image Classification
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2024
Qiang Zhang
Kui Jiang
Hongxun Yao
311
13
0
09 Mar 2024
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical
  Image Analysis
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
Zhaoshan Liu
Qiujie Lv
Yifan Li
Ziduo Yang
Leizhao Shen
MedIm
398
23
0
30 Jun 2023
Joint Optimization of Class-Specific Training- and Test-Time Data
  Augmentation in Segmentation
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in SegmentationIEEE Transactions on Medical Imaging (TMI), 2023
Zeju Li
Konstantinos Kamnitsas
Qi Dou
C. Qin
Ben Glocker
215
7
0
30 May 2023
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation
Dynamic Data Augmentation via MCTS for Prostate MRI SegmentationInternational Conference on Neural Information Processing (ICONIP), 2023
Xin-Chao Xu
Yu-Tseng Hsi
Hong Wang
Xuelong Li
202
1
0
25 May 2023
AADG: Automatic Augmentation for Domain Generalization on Retinal Image
  Segmentation
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Junyan Lyu
Yiqi Zhang
Yijin Huang
Li Lin
Pujin Cheng
Xiaoying Tang
MedIm
235
65
0
27 Jul 2022
Reinforcement Learning in Medical Image Analysis: Concepts,
  Applications, Challenges, and Future Directions
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future DirectionsJournal of Applied Clinical Medical Physics (JACMP), 2022
Mingzhe Hu
Jiahan Zhang
L. Matkovic
Tian Liu
Xiaofeng Yang
OffRL
148
73
0
28 Jun 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
PVNAS: 3D Neural Architecture Search with Point-Voxel ConvolutionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Zhijian Liu
Haotian Tang
Shengyu Zhao
Kevin Shao
Song Han
3DPC
177
49
0
25 Apr 2022
Leveraging Image Complexity in Macro-Level Neural Network Design for
  Medical Image Segmentation
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image SegmentationScientific Reports (Sci Rep), 2021
T. M. Khan
Syed S. Naqvi
Erik H. W. Meijering
SSeg
227
30
0
21 Dec 2021
T-AutoML: Automated Machine Learning for Lesion Segmentation using
  Transformers in 3D Medical Imaging
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical ImagingIEEE International Conference on Computer Vision (ICCV), 2021
Dong Yang
Andriy Myronenko
Xiaosong Wang
Ziyue Xu
H. Roth
Daguang Xu
ViTMedIm3DV
166
27
0
15 Nov 2021
The Power of Proxy Data and Proxy Networks for Hyper-Parameter
  Optimization in Medical Image Segmentation
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation
V. Nath
Dong Yang
Ali Hatamizadeh
Anas Abidin
Andriy Myronenko
H. Roth
Daguang Xu
127
7
0
12 Jul 2021
Enabling Data Diversity: Efficient Automatic Augmentation via
  Regularized Adversarial Training
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial TrainingInformation Processing in Medical Imaging (IPMI), 2021
Yunhe Gao
Zhiqiang Tang
Mu Zhou
Dimitris N. Metaxas
MedIm
129
22
0
30 Mar 2021
Deep reinforcement learning in medical imaging: A literature review
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou
Hoang Ngan Le
Khoa Luu
Hien V Nguyen
N. Ayache
LM&MAOffRLMedIm
167
168
0
05 Mar 2021
Learning image quality assessment by reinforcing task amenable data
  selection
Learning image quality assessment by reinforcing task amenable data selectionInformation Processing in Medical Imaging (IPMI), 2021
Shaheer U. Saeed
Yunguan Fu
Zachary Michael Cieman Baum
Qianye Yang
M. Rusu
Richard E. Fan
G. Sonn
D. Barratt
Yipeng Hu
120
16
0
15 Feb 2021
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel
  Segmentation Using a Genetic Algorithm
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic AlgorithmIEEE Transactions on Medical Imaging (TMI), 2020
Jiahong Wei
Zhun Fan
249
94
0
29 Oct 2020
Automatic Data Augmentation for 3D Medical Image Segmentation
Automatic Data Augmentation for 3D Medical Image Segmentation
Ju Xu
Mengzhang Li
Zhanxing Zhu
MedIm
196
78
0
07 Oct 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Searching Efficient 3D Architectures with Sparse Point-Voxel ConvolutionEuropean Conference on Computer Vision (ECCV), 2020
Haotian Tang
Zhijian Liu
Shengyu Zhao
Chengyue Wu
Ji Lin
Hanrui Wang
Song Han
3DPC
474
770
0
31 Jul 2020
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Zhun Fan
Jiahong Wei
Guijie Zhu
Jiajie Mo
Wenji Li
181
8
0
18 Jan 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image
  Segmentation
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2019
Qihang Yu
Dong Yang
H. Roth
Yutong Bai
Yixiao Zhang
Alan Yuille
Daguang Xu
331
123
0
20 Dec 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-ArtKnowledge-Based Systems (KBS), 2019
Xin He
Kaiyong Zhao
Xiaowen Chu
784
1,673
0
02 Aug 2019
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