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DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation
v1v2 (latest)

DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation

11 November 2024
Vladyslav Zalevskyi
Thomas Sanchez
Margaux Roulet
Hélène Lajous
Jordina Aviles Verdera
Roxane Licandro
Georg Langs
Gregor Kasprian
Jana Hutter
Hamza Kebiri
Meritxell Bach Cuadra
    OOD
ArXiv (abs)PDFHTML

Papers citing "DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation"

31 / 31 papers shown
Title
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for
  Brain MRI
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
Peirong Liu
Oula Puonti
Annabel Sorby-Adams
W. T. Kimberly
Juan Eugenio Iglesias
61
5
0
10 Mar 2024
Boosting Skull-Stripping Performance for Pediatric Brain Images
Boosting Skull-Stripping Performance for Pediatric Brain Images
William Kelley
Nathan Ngo
Adrian V. Dalca
Bruce Fischl
Lilla Zöllei
Malte Hoffmann
55
7
0
26 Feb 2024
Brain-ID: Learning Contrast-agnostic Anatomical Representations for
  Brain Imaging
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
Peirong Liu
Oula Puonti
Xiaoling Hu
Daniel C. Alexander
Juan Eugenio Iglesias
MedImOOD
74
7
0
28 Nov 2023
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical
  Imaging Research
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
Bardia Khosravi
Frank Li
Theo Dapamede
Pouria Rouzrokh
Cooper Gamble
...
C. Wyles
Andrew B. Sellergren
S. Purkayastha
Bradley J. Erickson
J. Gichoya
MedIm
69
17
0
15 Nov 2023
FetMRQC: an open-source machine learning framework for multi-centric
  fetal brain MRI quality control
FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control
Thomas Sanchez
Oscar Esteban
Yvan Gomez
A. Pron
Mériam Koob
...
Nadine Girard
Andras Jakab
E. Eixarch
G. Auzias
Meritxell Bach Cuadra
44
4
0
08 Nov 2023
Frequency-mixed Single-source Domain Generalization for Medical Image
  Segmentation
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
Heng Li
Haojin Li
Wei Zhao
Huazhu Fu
Xiuyun Su
Yan Hu
Jiang-Dong Liu
3DGS
50
18
0
18 Jul 2023
TIES-Merging: Resolving Interference When Merging Models
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav
Derek Tam
Leshem Choshen
Colin Raffel
Joey Tianyi Zhou
MoMe
118
315
0
02 Jun 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution
  Generalization
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Ramé
Kartik Ahuja
Jianyu Zhang
Matthieu Cord
Léon Bottou
David Lopez-Paz
MoMeOODD
94
85
0
20 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
Ilker Hacihaliloglu
Dorit Merhof
DiffMMedIm
110
387
0
14 Nov 2022
Momentum-based Weight Interpolation of Strong Zero-Shot Models for
  Continual Learning
Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning
Zafir Stojanovski
Karsten Roth
Zeynep Akata
61
17
0
06 Nov 2022
MONAI: An open-source framework for deep learning in healthcare
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
...
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
129
507
0
04 Nov 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
75
104
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
128
37
0
29 Jun 2022
Adversarial Consistency for Single Domain Generalization in Medical
  Image Segmentation
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation
Yanwu Xu
Shaoan Xie
Maxwell Reynolds1
Matthew Ragoza1
Biwei Huang
Kayhan Batmanghelich
GANOODMedIm
27
22
0
28 Jun 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
238
137
0
19 May 2022
Fetal Brain Tissue Annotation and Segmentation Challenge Results
Fetal Brain Tissue Annotation and Segmentation Challenge Results
K. Payette
Hongwei Bran Li
Priscille de Dumast
Roxane Licandro
H. Ji
...
Li Zhao
L. Vasung
Bjoern Menze
Meritxell Bach Cuadra
Andras Jakab
68
40
0
20 Apr 2022
Model soups: averaging weights of multiple fine-tuned models improves
  accuracy without increasing inference time
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
149
1,009
1
10 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
124
683
0
21 Feb 2022
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
152
734
0
04 Sep 2021
Preventing dataset shift from breaking machine-learning biomarkers
Preventing dataset shift from breaking machine-learning biomarkers
Jéroome Dockes
Gaël Varoquaux
J B Poline
OOD
71
64
0
21 Jul 2021
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution
  without retraining
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
Benjamin Billot
Douglas N. Greve
Oula Puonti
A. Thielscher
Koen van Leemput
Bruce Fischl
Adrian Dalca
Juan Eugenio Iglesias
OODMedIm
100
288
0
20 Jul 2021
SinGAN-Seg: Synthetic training data generation for medical image
  segmentation
SinGAN-Seg: Synthetic training data generation for medical image segmentation
Vajira Thambawita
Pegah Salehi
Sajad Amouei Sheshkal
Steven A. Hicks
Hugo L.Hammer
Sravanthi Parasa
Thomas de Lange
Pål Halvorsen
Michael A. Riegler
MedIm
60
86
0
29 Jun 2021
Domain Generalization with MixStyle
Domain Generalization with MixStyle
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
141
761
0
05 Apr 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
131
559
0
18 Feb 2021
An automatic multi-tissue human fetal brain segmentation benchmark using
  the Fetal Tissue Annotation Dataset
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset
K. Payette
Priscille de Dumast
Hamza Kebiri
Ivan Ezhov
Johannes C. Paetzold
...
G. Natalucci
T. Karayannis
Bjoern Menze
Meritxell Bach Cuadra
Andras Jakab
41
109
0
29 Oct 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
532
42,559
0
03 Dec 2019
GANs for Medical Image Analysis
GANs for Medical Image Analysis
Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
MedImAI4CE
63
415
0
13 Sep 2018
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners
  and Protocols
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols
Neerav Karani
K. Chaitanya
Christian F. Baumgartner
E. Konukoglu
80
120
0
25 May 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN
  Performance in Liver Lesion Classification
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
Maayan Frid-Adar
I. Diamant
Eyal Klang
Michal Amitai
Jacob Goldberger
H. Greenspan
GANMedIm
91
1,562
0
03 Mar 2018
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
102
1,427
0
10 Oct 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
259
2,972
0
20 Mar 2017
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