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Vox2Vox: 3D-GAN for Brain Tumour Segmentation
v1v2v3 (latest)

Vox2Vox: 3D-GAN for Brain Tumour Segmentation

19 March 2020
M. Cirillo
David Abramian
Anders Eklund
ArXiv (abs)PDFHTML

Papers citing "Vox2Vox: 3D-GAN for Brain Tumour Segmentation"

25 / 25 papers shown
SYNAPSE-Net: A Unified Framework with Lesion-Aware Hierarchical Gating for Robust Segmentation of Heterogeneous Brain Lesions
SYNAPSE-Net: A Unified Framework with Lesion-Aware Hierarchical Gating for Robust Segmentation of Heterogeneous Brain Lesions
Md. Mehedi Hassan
Shafqat Alam
Shahriar Ahmed Seam
Maruf Ahmed
MedIm
153
0
0
30 Oct 2025
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation
Sara Yavari
Rahul Nitin Pandya
Jacob Furst
MedIm
296
3
0
01 Aug 2025
DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
Sara Yavari
Rahul Nitin Pandya
Jacob Furst
DiffMMedIm
356
4
0
01 Jul 2025
Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs
Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANsInternational Conference on Pattern Recognition (ICPR), 2025
Mahshid shiri
Alessandro Bruno
Daniele Loiacono
MedIm3DV
228
0
0
13 Mar 2025
Multimodal 3D Brain Tumor Segmentation with Adversarial Training and
  Conditional Random Field
Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random FieldAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2024
Lan Jiang
Yuchao Zheng
Miao Yu
Haiqing Zhang
Fatemah Aladwani
Alessandro Perelli
MedIm
284
0
0
21 Nov 2024
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation
  in Multiple Sclerosis
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis
Nataliia Molchanova
A. Cagol
Pedro M. Gordaliza
Mario Ocampo Pineda
Po--Jui Lu
...
Xinjie Chen
Adrien Depeursinge
Cristina Granziera
Henning Müller
Meritxell Bach Cuadra
225
2
0
08 Jul 2024
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical
  Inverse Problem Solving
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving
Jia He
Bonan li
Ge Yang
Ziwen Liu
MedIm
188
8
0
24 May 2024
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of
  3D Echocardiography Images using a GAN
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GANIEEE Access (IEEE Access), 2024
Cristiana Tiago
A. Gilbert
A. S. Beela
S. Aase
S. Snare
Jurica Šprem
MedIm
259
27
0
08 Mar 2024
3D EAGAN: 3D edge-aware attention generative adversarial network for
  prostate segmentation in transrectal ultrasound images
3D EAGAN: 3D edge-aware attention generative adversarial network for prostate segmentation in transrectal ultrasound imagesQuantitative Imaging in Medicine and Surgery (QIMS), 2023
Mengqing Liu
Xiao Shao
Liping Jiang
Kaizhi Wu
MedIm3DPCGAN
111
2
0
07 Nov 2023
DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning
  approach for thoracic aorta segmentation and aneurysm prediction using
  computed tomography scans
DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans
Matheus del-Valle
Lariza Laura de Oliveira
Henrique Cursino Vieira
Henrique Min Ho Lee
Lucas Lembrança Pinheiro
M. F. Portugal
Newton Shydeo Brandão Miyoshi
Nelson Wolosker
198
0
0
23 Oct 2023
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT
  Images
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT ImagesIEEE Transactions on Medical Imaging (TMI), 2023
Yanwu Xu
Li Sun
Wei Peng
Shyam Visweswaran
Kayhan Batmanghelich
MedImDiffM
416
56
0
05 Oct 2023
Learned Local Attention Maps for Synthesising Vessel Segmentations
Learned Local Attention Maps for Synthesising Vessel Segmentations
Yashwardhan Deo
Rodrigo Bonazzola
Haoran Dou
Yan Xia
Tianyou Wei
Nishant Ravikumar
Alejandro F. Frangi
T. Lassila
MedIm
261
0
0
24 Aug 2023
Performance of GAN-based augmentation for deep learning COVID-19 image
  classification
Performance of GAN-based augmentation for deep learning COVID-19 image classification
Oleksandr Fedoruk
Konrad Klimaszewski
Aleksander Ogonowski
Rafal Mo.zd.zonek
OODMedIm
294
19
0
18 Apr 2023
Causal Image Synthesis of Brain MR in 3D
Causal Image Synthesis of Brain MR in 3D
Yujia Li
Jiong Shi
S. Kevin Zhou
CML3DVMedImDiffM
238
2
0
25 Mar 2023
3D Brain and Heart Volume Generative Models: A Survey
3D Brain and Heart Volume Generative Models: A SurveyACM Computing Surveys (ACM CSUR), 2022
Yanbin Liu
Girish Dwivedi
F. Boussaïd
Bennamoun
MedImAI4CE
384
8
0
12 Oct 2022
Generative Adversarial Networks and Other Generative Models
Generative Adversarial Networks and Other Generative Models
Markus T. Wenzel
GAN
233
19
0
08 Jul 2022
A Deep Generative Model of Neonatal Cortical Surface Development
A Deep Generative Model of Neonatal Cortical Surface DevelopmentAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2022
Abdulah Fawaz
Logan Z. J. Williams
A. Edwards
E. C. Robinson
MedIm
201
3
0
15 Jun 2022
Soft-CP: A Credible and Effective Data Augmentation for Semantic
  Segmentation of Medical Lesions
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions
Pingping Dai
Licong Dong
Ruihan Zhang
Haiming Zhu
Jie Wu
Kehong Yuan
MedIm
198
6
0
20 Mar 2022
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution
  to BraTS Challenge 2021 Segmentation Task
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
Himashi Peiris
Zhaolin Chen
Gary Egan
Mehrtash Harandi
125
48
0
11 Jan 2022
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
422
67
0
20 Jul 2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for
  Improved Enhanced Tumour Segmentation Without Post-Contrast Images
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast ImagesInternational Conference on Medical Imaging with Deep Learning (MIDL), 2021
Saverio Vadacchino
Raghav Mehta
N. Sepahvand
Brennan Nichyporuk
James J. Clark
Tal Arbel
MedIm
426
24
0
30 Mar 2021
Is Image-to-Image Translation the Panacea for Multimodal Image
  Registration? A Comparative Study
Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative StudyPLoS ONE (PLOS ONE), 2021
Jiahao Lu
Johan Öfverstedt
Patrick Micke
Natavsa Sladoje
MedIm
271
25
0
30 Mar 2021
What is the best data augmentation for 3D brain tumor segmentation?
What is the best data augmentation for 3D brain tumor segmentation?
M. Cirillo
David Abramian
Anders Eklund
343
4
0
26 Oct 2020
Synthesizing brain tumor images and annotations by combining progressive
  growing GAN and SPADE
Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE
Mehdi Foroozandeh
Anders Eklund
GANMedIm
195
19
0
13 Sep 2020
Deep Learning Based Brain Tumor Segmentation: A Survey
Deep Learning Based Brain Tumor Segmentation: A SurveyComplex & Intelligent Systems (CIS), 2020
Zhihua Liu
Lei Tong
Zheheng Jiang
Long Chen
Feixiang Zhou
Qianni Zhang
Xiangrong Zhang
Ling Li
Huiyu Zhou
3DV
353
331
0
18 Jul 2020
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