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3D MRI brain tumor segmentation using autoencoder regularization

3D MRI brain tumor segmentation using autoencoder regularization

27 October 2018
Andriy Myronenko
ArXivPDFHTML

Papers citing "3D MRI brain tumor segmentation using autoencoder regularization"

50 / 82 papers shown
Title
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
B. K. Das
Ajay Singh
Gengyan Zhao
Han Liu
Thomas J. Re
D. Comaniciu
Eli Gibson
Andreas K. Maier
ViT
MedIm
26
0
0
13 May 2025
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
H. Wang
Yifeng Wu
Huimin Huang
Hongtao Wu
Jia-Xuan Jiang
...
Hao Zheng
Xian Wu
Yefeng Zheng
Jinping Xu
Jing Cheng
MedIm
29
0
0
09 May 2025
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
Zhongying Deng
Haoyu Wang
Ziyan Huang
L. Zhang
Angelica I Aviles-Rivero
Chaoyu Liu
Junjun He
Zoe Kourtzi
Carola-Bibiane Schönlieb
MedIm
AI4CE
26
0
0
01 May 2025
Mamba Based Feature Extraction And Adaptive Multilevel Feature Fusion For 3D Tumor Segmentation From Multi-modal Medical Image
Mamba Based Feature Extraction And Adaptive Multilevel Feature Fusion For 3D Tumor Segmentation From Multi-modal Medical Image
Zexin Ji
Beiji Zou
Xiaoyan Kui
Hua Li
P. Vera
S. Ruan
Mamba
49
0
0
30 Apr 2025
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
Vishwesh Nath
Wenqi Li
Dong Yang
Andriy Myronenko
Mingxin Zheng
...
Holger Roth
Daguang Xu
Baris Turkbey
Holger Roth
Daguang Xu
VLM
90
4
0
19 Nov 2024
Medical Image Segmentation via Single-Source Domain Generalization with
  Random Amplitude Spectrum Synthesis
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis
Qiang Qiao
Wenyu Wang
Meixia Qu
Kun Su
Bin Jiang
Qiang Guo
23
2
0
07 Sep 2024
Segmentation of Prostate Tumour Volumes from PET Images is a Different
  Ball Game
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game
Shrajan Bhandary
Dejan Kuhn
Z. Babaiee
T. Fechter
S. Spohn
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
40
1
0
15 Jul 2024
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform
  Regression
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
Trung Dang
Huy Hoang Nguyen
A. Tiulpin
32
3
0
27 May 2024
BiomedParse: a biomedical foundation model for image parsing of
  everything everywhere all at once
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
Theodore Zhao
Yu Gu
Jianwei Yang
Naoto Usuyama
Ho Hin Lee
...
B. Piening
Carlo Bifulco
Mu-Hsin Wei
Hoifung Poon
Sheng Wang
MedIm
31
22
0
21 May 2024
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
D. Labella
Ujjwal Baid
O. Khanna
Shan McBurney-Lin
Ryan McLean
...
A. Abouelatta
Tanvir Rizvi
Klara Willms
Dann C. Martin
Abdullah Okar
36
7
0
16 May 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
Jiaxin Zhuang
Linshan Wu
Qiong Wang
V. Vardhanabhuti
Lin Luo
Hao Chen
Hao Chen
54
4
0
24 Apr 2024
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
Anthony Bilic
Chen Chen
OOD
37
0
0
21 Apr 2024
Decoding Continuous Character-based Language from Non-invasive Brain
  Recordings
Decoding Continuous Character-based Language from Non-invasive Brain Recordings
Cenyuan Zhang
Xiaoqing Zheng
Ruicheng Yin
Shujie Geng
Jianhan Xu
...
Changze Lv
Zixuan Ling
Xuanjing Huang
Miao Cao
Jianfeng Feng
33
0
0
17 Mar 2024
Unsupversied feature correlation model to predict breast abnormal
  variation maps in longitudinal mammograms
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms
Jun Bai
Annie Jin
Madison Adams
Clifford Yang
S. Nabavi
13
0
0
28 Dec 2023
Abdominal multi-organ segmentation in CT using Swinunter
Abdominal multi-organ segmentation in CT using Swinunter
Mingjin Chen
Yongkang He
Yongyi Lu
ViT
OOD
MedIm
16
0
0
28 Sep 2023
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative
  Global Transformer Model
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model
Dayang Wang
Srivathsa Pasumarthi
Greg Zaharchuk
R. Chamberlain
MedIm
18
1
0
22 Jul 2023
Computational Modeling of Deep Multiresolution-Fractal Texture and Its
  Application to Abnormal Brain Tissue Segmentation
Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation
A. Temtam
Linmin Pei
Khan M. Iftekharuddin
18
0
0
07 Jun 2023
Topology-Aware Focal Loss for 3D Image Segmentation
Topology-Aware Focal Loss for 3D Image Segmentation
Andac Demir
Elie Massaad
B. Kiziltan
21
8
0
24 Apr 2023
UDTIRI: An Online Open-Source Intelligent Road Inspection Benchmark
  Suite
UDTIRI: An Online Open-Source Intelligent Road Inspection Benchmark Suite
Sicen Guo
Jiahang Li
Yi Feng
Dacheng Zhou
D. Zhang
Chen Chen
Shuai Su
Xing-Hui Zhu
Qijun Chen
Rui Fan
21
6
0
18 Apr 2023
Localise to segment: crop to improve organ at risk segmentation accuracy
Localise to segment: crop to improve organ at risk segmentation accuracy
Abraham George Smith
Denis Kutnár
I. Vogelius
S. Darkner
Jens Petersen
SSeg
25
2
0
10 Apr 2023
Reconstruction-driven Dynamic Refinement based Unsupervised Domain
  Adaptation for Joint Optic Disc and Cup Segmentation
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation
Ziyang Chen
Yongsheng Pan
Yong-quan Xia
MedIm
18
11
0
10 Apr 2023
Medical Image Analysis using Deep Relational Learning
Medical Image Analysis using Deep Relational Learning
Zhi-Hu Liu
MedIm
17
0
0
28 Mar 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
26
50
0
13 Feb 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain
  Tumor Segmentation
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
Aishik Konwer
Xiaoling Hu
Joseph Bae
Xuanang Xu
Chaoyu Chen
Prateek Prasanna
24
16
0
08 Feb 2023
Learning Confident Classifiers in the Presence of Label Noise
Learning Confident Classifiers in the Presence of Label Noise
Asma Ahmed Hashmi
Aigerim Zhumabayeva
Nikita Kotelevskii
A. Agafonov
Mohammad Yaqub
Maxim Panov
Martin Takávc
NoLa
49
2
0
02 Jan 2023
Federated Learning with Privacy-Preserving Ensemble Attention
  Distillation
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
...
Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
15
27
0
16 Oct 2022
Automated ischemic stroke lesion segmentation from 3D MRI
Automated ischemic stroke lesion segmentation from 3D MRI
M. R. Siddiquee
Dong Yang
Yufan He
Daguang Xu
Andriy Myronenko
20
8
0
20 Sep 2022
Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO$_2$
  Plumes via Deep Learning
Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO2_22​ Plumes via Deep Learning
A. Celaya
B. Denel
Yen Sun
Mauricio Araya-Polo
A. Price
3DPC
26
10
0
06 Sep 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
41
91
0
05 Aug 2022
Application of belief functions to medical image segmentation: A review
Application of belief functions to medical image segmentation: A review
Ling Huang
S. Ruan
Thierry Denoeux
EDL
MedIm
27
30
0
03 May 2022
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer
  for Missing Data Imputation
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation
Jiang Liu
Srivathsa Pasumarthi
B. Duffy
Enhao Gong
Keshav Datta
Greg Zaharchuk
ViT
MedIm
11
53
0
28 Apr 2022
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of
  Transformer-MLP Paradigm for Dense Prediction in Medical Volume
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume
Jianye Pang
Cheng Jiang
Yihao Chen
Jianbo Chang
M. Feng
Renzhi Wang
Jianhua Yao
ViT
MedIm
28
11
0
14 Apr 2022
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Jiangyun Li
Hong Yu
Chen Chen
Meng Ding
Sen Zha
9
13
0
29 Mar 2022
Factorizer: A Scalable Interpretable Approach to Context Modeling for
  Medical Image Segmentation
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
Pooya Ashtari
Diana Sima
L. De Lathauwer
D. Sappey-Marinier
F. Maes
Sabine Van Huffel
ViT
MedIm
26
35
0
24 Feb 2022
Lymphoma segmentation from 3D PET-CT images using a deep evidential
  network
Lymphoma segmentation from 3D PET-CT images using a deep evidential network
Ling Huang
S. Ruan
P. Decazes
Thierry Denoeux
3DPC
MedIm
27
37
0
31 Jan 2022
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and
  Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Vincent Andrearczyk
Valentin Oreiller
S. Boughdad
C. Cheze-le-Rest
H. Elhalawani
...
John O. Prior
M. Vallières
D. Visvikis
M. Hatt
A. Depeursinge
30
83
0
11 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViT
MedIm
17
1,054
0
04 Jan 2022
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric
  MRI
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI
Ramy A. Zeineldin
Mohamed E. Karar
Franziska Mathis-Ullrich
Oliver Burgert
11
9
0
13 Dec 2021
Improving the Segmentation of Pediatric Low-Grade Gliomas through
  Multitask Learning
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning
Partoo Vafaeikia
M. Wagner
U. Tabori
B. Ertl-Wagner
Farzad Khalvati
9
6
0
29 Nov 2021
Non Parametric Data Augmentations Improve Deep-Learning based Brain
  Tumor Segmentation
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation
Hadas Ben-Atya
Ori Rajchert
L. Goshen
Moti Freiman
18
4
0
25 Nov 2021
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural
  Network for Brain Tumor Segmentation with Missing MR Modalities
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
MedIm
33
42
0
08 Nov 2021
A Variational U-Net for Weather Forecasting
A Variational U-Net for Weather Forecasting
Pak Hay Kwok
Qi Qi
10
4
0
05 Nov 2021
A Tri-attention Fusion Guided Multi-modal Segmentation Network
A Tri-attention Fusion Guided Multi-modal Segmentation Network
Tongxue Zhou
S. Ruan
P. Vera
S. Canu
MedIm
24
45
0
02 Nov 2021
Optimized U-Net for Brain Tumor Segmentation
Optimized U-Net for Brain Tumor Segmentation
Michal Futrega
Alexandre Milesi
Michal Marcinkiewicz
Pablo Ribalta
SSeg
27
90
0
07 Oct 2021
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
Xi Guan
Guang Yang
Jianming Ye
Weiji Yang
Xiaomei Xu
Weiwei Jiang
Xiaobo Lai
13
113
0
26 Jul 2021
Evidential segmentation of 3D PET/CT images
Evidential segmentation of 3D PET/CT images
Ling Huang
S. Ruan
P. Decazes
Thierry Denoeux
3DPC
38
13
0
27 Apr 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation
  with Missing MRI Modalities
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
19
141
0
13 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical
  Imaging: A Review
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
Mingquan Lin
Jacob F. Wynne
Y. Lei
Tonghe Wang
W. Curran
Tian Liu
Xiaofeng Yang
27
24
0
25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
51
1,533
0
18 Mar 2021
TransMed: Transformers Advance Multi-modal Medical Image Classification
TransMed: Transformers Advance Multi-modal Medical Image Classification
Yin Dai
Yifan Gao
ViT
MedIm
30
280
0
10 Mar 2021
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