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Test-Time Adaptable Neural Networks for Robust Medical Image
  Segmentation

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation

9 April 2020
Neerav Karani
Ertunc Erdil
K. Chaitanya
E. Konukoglu
    OOD
ArXivPDFHTML

Papers citing "Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation"

25 / 25 papers shown
Title
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework
Jun Li
Hongzhang Zhu
Tao Chen
Xiaohua Qian
35
4
0
12 May 2025
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
Jun Li
Yuyao Zhang
Haibo Shi
Minhong Li
Qiwei Li
Xiaohua Qian
MedIm
34
0
0
03 May 2025
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study
Soumitri Chattopadhyay
Basar Demir
Marc Niethammer
VLM
64
0
0
28 Mar 2025
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving
  in Dynamic Environments
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
Benoît Gérin
Anaïs Halin
A. Cioppa
Maxim Henry
Guohao Li
Benoît Macq
Christophe De Vleeschouwer
Marc Van Droogenbroeck
TTA
48
0
0
27 Apr 2024
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
Gauransh Sawhney
Daksh Dave
Adeel Ahmed
Jiechao Gao
Khalid Saleem
23
0
0
21 Nov 2023
Post-Deployment Adaptation with Access to Source Data via Federated
  Learning and Source-Target Remote Gradient Alignment
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
Felix Wagner
Zeju Li
Pramit Saha
Konstantinos Kamnitsas
MedIm
8
4
0
31 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Tianshuo Cong
Xinlei He
Yun Shen
Yang Zhang
AAML
TTA
29
5
0
16 Aug 2023
Source-Free Domain Adaptive Fundus Image Segmentation with
  Class-Balanced Mean Teacher
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher
Longxiang Tang
Kai Li
Chunming He
Yulun Zhang
Xiu Li
32
23
0
14 Jul 2023
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for
  Robust 3D Medical Image Segmentation
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
Jingjie Guo
Weitong Zhang
Matthew Sinclair
Daniel Rueckert
C. L. P. Chen
OOD
21
2
0
02 Jul 2023
On Sensitivity and Robustness of Normalization Schemes to Input
  Distribution Shifts in Automatic MR Image Diagnosis
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
Divyam Madaan
D. Sodickson
K. Cho
S. Chopra
OOD
MedIm
30
1
0
23 Jun 2023
Black-box Source-free Domain Adaptation via Two-stage Knowledge
  Distillation
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Shuai Wang
Daoan Zhang
Zipei Yan
Shitong Shao
Ruizhen Li
22
2
0
13 May 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical
  Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
Xuzhe Zhang
Yu-Hsun Wu
S. Entringer
H. Simhan
Jia Guo
...
A. Jackowski
Haifeng Li
J. Posner
Andrew F. Laine
Yun Wang
OOD
15
11
0
16 Mar 2023
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee
Annie S. Chen
Fahim Tajwar
Ananya Kumar
Huaxiu Yao
Percy Liang
Chelsea Finn
OOD
56
197
0
20 Oct 2022
Mixup for Test-Time Training
Mixup for Test-Time Training
Bochao Zhang
Rui Shao
Jingda Du
Pc Yuen
TTA
14
1
0
04 Oct 2022
Test-Time Training with Masked Autoencoders
Test-Time Training with Masked Autoencoders
Yossi Gandelsman
Yu Sun
Xinlei Chen
Alexei A. Efros
OOD
36
164
0
15 Sep 2022
Robust machine learning segmentation for large-scale analysis of
  heterogeneous clinical brain MRI datasets
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets
Benjamin Billot
C. Magdamo
You Cheng
S. Arnold
Sudeshna Das
Juan Eugenio Iglesias
16
97
0
05 Sep 2022
Single-domain Generalization in Medical Image Segmentation via Test-time
  Adaptation from Shape Dictionary
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Quande Liu
Cheng Chen
Qi Dou
Pheng-Ann Heng
OOD
47
36
0
29 Jun 2022
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain
  Medical Images
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
Hongzheng Yang
Cheng Chen
Meirui Jiang
Quande Liu
Jianfeng Cao
Pheng Ann Heng
Qi Dou
OOD
32
26
0
27 May 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
54
395
0
25 Mar 2022
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and
  no Retraining
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining
Benjamin Billot
Magdamo Colin
S. Arnold
Sudeshna Das
Juan Eugenio Iglesias
OOD
23
11
0
03 Mar 2022
Causality-inspired Single-source Domain Generalization for Medical Image
  Segmentation
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
Cheng Ouyang
C. L. P. Chen
Surui Li
Zeju Li
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
30
155
0
24 Nov 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time
  Training
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
TTA
36
8
0
26 Aug 2021
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OOD
MedIm
126
65
0
06 Aug 2021
The Federated Tumor Segmentation (FeTS) Challenge
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati
Ujjwal Baid
M. Zenk
Brandon Edwards
Micah J. Sheller
...
Lena Maier-Hein
Jens Kleesiek
Bjoern H. Menze
Klaus Maier-Hein
Spyridon Bakas
FedML
OOD
41
72
0
12 May 2021
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
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