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Embracing the Disharmony in Medical Imaging: A Simple and Effective
  Framework for Domain Adaptation

Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation

23 March 2021
Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
    OOD
ArXivPDFHTML

Papers citing "Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation"

3 / 3 papers shown
Title
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint
  Learning from Heterogeneous Datasets
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets
Dongik Shin
Beomsu Kim
Seungjun Baek
MedIm
11
2
0
14 Aug 2023
Domain Adaptation as a Problem of Inference on Graphical Models
Domain Adaptation as a Problem of Inference on Graphical Models
Kun Zhang
Mingming Gong
P. Stojanov
Biwei Huang
Qingsong Liu
Clark Glymour
OOD
43
62
0
09 Feb 2020
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
210
1,391
0
04 Dec 2018
1