Papers
57 papers found
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
Ziqi Zhou, Lei Qi, Yinghuan Shi
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
Zhenbin Wang, Mao Ye, Xiatian Zhu et al.
Class-Aware Adversarial Transformers for Medical Image Segmentation
Chenyu You, Ruihan Zhao, Fenglin Liu et al.
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Chongjian GE et al.
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Meirui Jiang, Zirui Wang, Qi Dou
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary
Quande Liu, Cheng Chen, Qi Dou et al.
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation
Junwen Pan, Qi Bi, Yanzhan Yang et al.
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Ashwin Raju, Shun Miao, Dakai Jin et al.
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation
Huifeng Yao, Xiaowei Hu, Xiaomeng Li
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract)
Ruibin Chen, Miao Zhang, Xin Zheng et al.
3D Manifold Topology Based Medical Image Data
Augmentation
Jisui Huang, Na Lei
ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification
Fengbei Liu, Yu Tian, Yuanhong Chen et al.
CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision
Ke Zhang, Xiahai Zhuang
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image
Zhang Chen, Zhiqiang Tian, Jihua Zhu et al.
Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization
Ziqi Zhou, Lei Qi, Xin Yang et al.
What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors
Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei et al.
HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet
Cheng Peng, Andriy Myronenko, Ali Hatamizadeh et al.
BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation
Wenqiao Zhang, Lei Zhu, James Hallinan et al.
Affine Medical Image Registration With Coarse-To-Fine Vision Transformer
Tony C. W. Mok, Albert C. S. Chung
M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice Transformer
Jinseong Jang, Dosik Hwang
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang, Dong Yang, Wenqi Li et al.
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-Supervised Medical Image Analysis
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway et al.
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation
Jianfeng Wang, Thomas Lukasiewicz
FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis
Yu Feng, Benteng Ma, Jing Zhang et al.
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation
An Xu, Wenqi Li, Pengfei Guo et al.