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DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated
  MR Images

DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images

12 March 2024
Michael Götz
C. Weber
F. Binczyk
Joanna Polańska
R. Tarnawski
B. Bobek-Billewicz
Ullrich Kothe
Jens Kleesiek
B. Stieltjes
Klaus H. Maier-Hein
ArXivPDFHTML

Papers citing "DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images"

8 / 8 papers shown
Title
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion
  Segmentation
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
Chaolu Feng
Dazhe Zhao
Christoph Kolb
Mingxu Huang
OOD
AI4CE
21
15
0
12 Mar 2024
CellTranspose: Few-shot Domain Adaptation for Cellular Instance
  Segmentation
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation
M. Keaton
Ram J. Zaveri
Gianfranco Doretto
19
14
0
28 Dec 2022
Partial annotations for the segmentation of large structures with low
  annotation cost
Partial annotations for the segmentation of large structures with low annotation cost
Bella Specktor-Fadida
Daphna Link-Sourani
Liat Ben Sira Elka Miller
D. Ben Bashat
Leo Joskowicz
16
2
0
25 Sep 2022
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
39
529
0
18 Feb 2021
Target-Independent Domain Adaptation for WBC Classification using
  Generative Latent Search
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search
Prashant Pandey
A. Prathosh
Vinay Kyatham
Deepak Mishra
T. R. Dastidar
OOD
MedIm
23
25
0
11 May 2020
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
V. Cheplygina
Marleen de Bruijne
J. Pluim
16
744
0
17 Apr 2018
Transfer Learning by Asymmetric Image Weighting for Segmentation across
  Scanners
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners
V. Cheplygina
Annegreet van Opbroek
M. Ikram
Meike W. Vernooij
Marleen de Bruijne
22
1
0
15 Mar 2017
A deep learning model integrating FCNNs and CRFs for brain tumor
  segmentation
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao
Yihong Wu
Guidong Song
Zhenye Li
Yazhuo Zhang
Yong-Xian Fan
MedIm
11
668
0
15 Feb 2017
1