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Automatic lung segmentation in routine imaging is primarily a data
  diversity problem, not a methodology problem
v1v2 (latest)

Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

31 January 2020
J. Hofmanninger
F. Prayer
Jeanny Pan
Sebastian Rohrich
H. Prosch
Georg Langs
ArXiv (abs)PDFHTML

Papers citing "Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem"

18 / 18 papers shown
Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data
Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data
Rui Xu
Yong Luo
Bo Du
OOD
374
1
0
03 Apr 2023
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped
  Domain Attention
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain AttentionIEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2023
Rui Xu
Zhi Liu
Yong Luo
Han Hu
Li Shen
Bo Du
Kaiming Kuang
Jiancheng Yang
ViT
385
21
0
07 Mar 2023
Cutting-Splicing data augmentation: A novel technology for medical image
  segmentation
Cutting-Splicing data augmentation: A novel technology for medical image segmentation
Lianting Hu
Huiying Liang
Jiajie Tang
Xin Li
Li Huang
Long Lu
127
2
0
17 Oct 2022
Airway measurement by refinement of synthetic images improves mortality
  prediction in idiopathic pulmonary fibrosis
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis
A. Pakzad
Moucheng Xu
W. K. Cheung
M. Vermant
Tinne Goos
L. D. Sadeleer
S. Verleden
W. Wuyts
J. Hurst
Joseph Jacob
126
2
0
30 Aug 2022
Quantification of pulmonary involvement in COVID-19 pneumonia by means
  of a cascade oftwo U-nets: training and assessment on multipledatasets using
  different annotation criteria
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteriaInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2021
Francesca Lizzi
Abramo Agosti
F. Brero
R. F. Cabini
M. Fantacci
...
S. Piffer
I. Postuma
L. Rinaldi
C. Talamonti
A. Retico
201
19
0
06 May 2021
Mediastinal lymph nodes segmentation using 3D convolutional neural
  network ensembles and anatomical priors guiding
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
D. Bouget
André Pedersen
J. Vanel
H. O. Leira
T. Langø
184
28
0
11 Feb 2021
An Explainable AI System for Automated COVID-19 Assessment and Lesion
  Categorization from CT-scans
An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scansArtificial Intelligence in Medicine (Artif Intell Med), 2021
M. Pennisi
I. Kavasidis
C. Spampinato
V. Schininà
S. Palazzo
...
Ada Petrone
F. Albarello
Giuseppe Ippolito
S. Cuzzocrea
S. Conoci
151
39
0
28 Jan 2021
Meningioma segmentation in T1-weighted MRI leveraging global context and
  attention mechanisms
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanismsFrontiers in Radiology (FR), 2021
D. Bouget
André Pedersen
Sayied Abdol Mohieb Hosainey
O. Solheim
Ingerid Reinertsen
236
27
0
19 Jan 2021
Context Matters: Graph-based Self-supervised Representation Learning for
  Medical Images
Context Matters: Graph-based Self-supervised Representation Learning for Medical ImagesAAAI Conference on Artificial Intelligence (AAAI), 2020
Li Sun
Ke Yu
Kayhan Batmanghelich
SSL
225
27
0
11 Dec 2020
COVID-FACT: A Fully-Automated Capsule Network-based Framework for
  Identification of COVID-19 Cases from Chest CT scans
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scansFrontiers in Artificial Intelligence (FAI), 2020
Shahin Heidarian
Parnian Afshar
Nastaran Enshaei
F. Naderkhani
A. Oikonomou
...
Faranak Babaki Fard
K. Samimi
Konstantinos N. Plataniotis
Arash Mohammadi
M. Rafiee
MedIm
170
79
0
30 Oct 2020
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Zhanwei Xu
Yukun Cao
Cheng Jin
Guozhu Shao
Xiaoqing Liu
Jie Zhou
Heshui Shi
Jianjiang Feng
MedIm
302
29
0
19 Oct 2020
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19
  Lesion Segmentation in CT scans
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans
Paschalis A. Bizopoulos
N. Vretos
P. Daras
780
19
0
10 Sep 2020
Revealing Lung Affections from CTs. A Comparative Analysis of Various
  Deep Learning Approaches for Dealing with Volumetric Data
Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric DataConference and Labs of the Evaluation Forum (CLEF), 2020
R. Miron
Cosmin Moisii
Mihaela Breaban
174
7
0
09 Sep 2020
Comparative study of deep learning methods for the automatic
  segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Sofie Tilborghs
Ine Dirks
Lucas Fidon
S. Willems
Tom Eelbode
...
D. Robben
D. Smeets
F. Maes
Jef Vandemeulebroucke
P. Suetens
OOD
373
29
0
29 Jul 2020
Integrative Analysis for COVID-19 Patient Outcome Prediction
Integrative Analysis for COVID-19 Patient Outcome Prediction
Hanqing Chao
Xi Fang
Jiajin Zhang
F. Homayounieh
C. Arru
...
Z. Falaschi
Alessio Pasché
Ge Wang
Mannudeep K. Kalra
Pingkun Yan
242
2
0
20 Jul 2020
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19
  Patients
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients
Keegan Lensink
I. Laradji
M. Law
P. Barbano
S. Nicolaou
William Parker
E. Haber
239
4
0
07 Jul 2020
Dynamic memory to alleviate catastrophic forgetting in continuous
  learning settings
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
J. Hofmanninger
Matthias Perkonigg
J. Brink
Oleg S. Pianykh
Christian Herold
Georg Langs
OODMedIm
265
30
0
06 Jul 2020
Separation of target anatomical structure and occlusions in chest
  radiographs
Separation of target anatomical structure and occlusions in chest radiographs
J. Hofmanninger
S. Roehrich
H. Prosch
Georg Langs
MedIm
843
0
0
03 Feb 2020
1
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