ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1505.03540
  4. Cited By
Brain Tumor Segmentation with Deep Neural Networks

Brain Tumor Segmentation with Deep Neural Networks

13 May 2015
Mohammad Havaei
Axel Davy
David Warde-Farley
A. Biard
Aaron Courville
Yoshua Bengio
C. Pal
Pierre-Marc Jodoin
Hugo Larochelle
    3DV
ArXivPDFHTML

Papers citing "Brain Tumor Segmentation with Deep Neural Networks"

50 / 177 papers shown
Title
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine
  Framework and Its Adversarial Examples
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Yingwei Li
Zhuotun Zhu
Yuyin Zhou
Yingda Xia
Wei Shen
Elliot K. Fishman
Alan Yuille
MedIm
33
23
0
29 Oct 2020
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
30
4
0
26 Oct 2020
Context Aware 3D UNet for Brain Tumor Segmentation
Context Aware 3D UNet for Brain Tumor Segmentation
Parvez Ahmad
Saqib Qamar
Linlin Shen
Adnan Saeed
SSeg
21
35
0
25 Oct 2020
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma
  Segmentation in MRI Scans
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans
M. Hamghalam
Baiying Lei
Tianfu Wang
MedIm
28
15
0
20 Oct 2020
Fast meningioma segmentation in T1-weighted MRI volumes using a
  lightweight 3D deep learning architecture
Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture
D. Bouget
André Pedersen
Sayied Abdol Mohieb Hosainey
J. Vanel
O. Solheim
Ingerid Reinertsen
27
15
0
14 Oct 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang
Hanwang Zhang
Jinhui Tang
Xiansheng Hua
Qianru Sun
CML
ISeg
43
445
0
26 Sep 2020
A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
58
625
0
02 Aug 2020
PanoNet: Real-time Panoptic Segmentation through Position-Sensitive
  Feature Embedding
PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding
Xia Chen
Jianren Wang
M. Hebert
SSeg
31
11
0
01 Aug 2020
Deep Learning Based Brain Tumor Segmentation: A Survey
Deep Learning Based Brain Tumor Segmentation: A Survey
Zhihua Liu
Lei Tong
Zheheng Jiang
Long Chen
Feixiang Zhou
Qianni Zhang
Xiangrong Zhang
Ling Li
Huiyu Zhou
3DV
24
228
0
18 Jul 2020
Automated machine vision enabled detection of movement disorders from
  hand drawn spirals
Automated machine vision enabled detection of movement disorders from hand drawn spirals
Nabeel Seedat
V. Aharonson
I. Schlesinger
11
8
0
22 Jun 2020
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for
  Biomedical Imaging
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging
Bora Baydar
Savas Ozkan
A. Emre Kavur
N. Gezer
M. Alper Selver
G. Akar
OOD
21
0
0
08 Jun 2020
A comparative study of 2D image segmentation algorithms for traumatic
  brain lesions using CT data from the ProTECTIII multicenter clinical trial
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial
Shruti Jadon
Owen P. Leary
I. Pan
Tyler Harder
D. Wright
Lisa H. Merck
D. Merck
38
27
0
01 Jun 2020
Polarimetric image augmentation
Polarimetric image augmentation
Marc Blanchon
Olivier Morel
F. Mériaudeau
R. Seulin
Désiré Sidibé
6
5
0
22 May 2020
A review: Deep learning for medical image segmentation using
  multi-modality fusion
A review: Deep learning for medical image segmentation using multi-modality fusion
Tongxue Zhou
S. Ruan
S. Canu
24
504
0
22 Apr 2020
Attention-Guided Version of 2D UNet for Automatic Brain Tumor
  Segmentation
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
Mehrdad Noori
Ali Bahri
K. Mohammadi
3DV
27
93
0
04 Apr 2020
U-Det: A Modified U-Net architecture with bidirectional feature network
  for lung nodule segmentation
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation
Nikhil Varma Keetha
P. SamsonAnoshBabu
Chandra Sekhara Rao Annavarapu
32
38
0
20 Mar 2020
Dropout: Explicit Forms and Capacity Control
Dropout: Explicit Forms and Capacity Control
R. Arora
Peter L. Bartlett
Poorya Mianjy
Nathan Srebro
64
37
0
06 Mar 2020
Region of Interest Identification for Brain Tumors in Magnetic Resonance
  Images
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images
F. Mostafaie
Reihaneh Teimouri
Zahra Nabizadeh
N. Karimi
S. Samavi
8
2
0
26 Feb 2020
Liver Segmentation in Abdominal CT Images via Auto-Context Neural
  Network and Self-Supervised Contour Attention
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention
Minyoung Chung
Jingyu Lee
Jeongjin Lee
Y. Shin
MedIm
16
29
0
14 Feb 2020
Artificial Intelligence-Based Image Classification for Diagnosis of Skin
  Cancer: Challenges and Opportunities
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities
Manu Goyal
T. Knackstedt
Shaofeng Yan
Saeed Hassanpour
28
110
0
26 Nov 2019
Automated Human Claustrum Segmentation using Deep Learning Technologies
Automated Human Claustrum Segmentation using Deep Learning Technologies
A. Albishri
Syed Jawad Hussain Shah
Anthony Schmiedler
S. Kang
Yugyung Lee
30
4
0
18 Nov 2019
Disentangle, align and fuse for multimodal and semi-supervised image
  segmentation
Disentangle, align and fuse for multimodal and semi-supervised image segmentation
A. Chartsias
G. Papanastasiou
Chengjia Wang
S. Semple
D. Newby
R. Dharmakumar
Sotirios A. Tsaftaris
24
13
0
11 Nov 2019
Machine Learning Techniques for Biomedical Image Segmentation: An
  Overview of Technical Aspects and Introduction to State-of-Art Applications
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo
M. B. Khuzani
V. Vasudevan
Charles Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
VLM
24
218
0
06 Nov 2019
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in
  Ultrasound Images
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski
Min Xian
Phoebe E. Freer
27
142
0
20 Oct 2019
FastSurfer -- A fast and accurate deep learning based neuroimaging
  pipeline
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline
Leonie Henschel
Sailesh Conjeti
Santiago Estrada
K. Diers
Bruce Fischl
M. Reuter
MedIm
28
387
0
09 Oct 2019
Brain MRI Tumor Segmentation with Adversarial Networks
Brain MRI Tumor Segmentation with Adversarial Networks
E. Giacomello
Daniele Loiacono
L. Mainardi
GAN
MedIm
24
6
0
07 Oct 2019
Model-Based and Data-Driven Strategies in Medical Image Computing
Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert
Julia A. Schnabel
OOD
MedIm
AI4CE
28
50
0
23 Sep 2019
Survey on Deep Neural Networks in Speech and Vision Systems
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
VLM
AI4TS
34
205
0
16 Aug 2019
Precise Estimation of Renal Vascular Dominant Regions Using Spatially
  Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams
Chenglong Wang
H. Roth
T. Kitasaka
M. Oda
Y. Hayashi
Y. Yoshino
Tokunori Yamamoto
N. Sassa
M. Goto
K. Mori
30
19
0
05 Aug 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OOD
BDL
UQCV
19
54
0
27 Jul 2019
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
Jiechao Ma
Yingqian Chen
Yu-Chun Chen
Fengkai Wan
Sumin Xue
Ziping Li
S. Feng
MedIm
35
2
0
24 Jul 2019
Fully-automated deep learning-powered system for DCE-MRI analysis of
  brain tumors
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
J. Nalepa
P. R. Lorenzo
Michal Marcinkiewicz
B. Bobek-Billewicz
P. Wawrzyniak
...
M. Kawulok
Wojciech Dudzik
Grzegorz Mrukwa
Pawel Ulrych
M. P. Hayball
24
47
0
18 Jul 2019
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor
  Segmentation
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation
Hongying Liu
Xiongjie Shen
Fanhua Shang
Fei-Yue Wang
28
43
0
17 Jul 2019
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning
  Methods for Urban Healthcare in Smart Cities
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning Methods for Urban Healthcare in Smart Cities
A. Alghamdi
Mohamed Hammad
H. Ugail
Asmaa Abdel-Raheem
Khan Muhammad
Hany S. Khalifa
A. A. Abd El-Latif
14
114
0
22 Jun 2019
Generation of Multimodal Justification Using Visual Word Constraint
  Model for Explainable Computer-Aided Diagnosis
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis
Hyebin Lee
S. T. Kim
Yong Man Ro
MedIm
29
44
0
10 Jun 2019
Association of genomic subtypes of lower-grade gliomas with shape
  features automatically extracted by a deep learning algorithm
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Mateusz Buda
Ashirbani Saha
Maciej A. Mazurowski
60
265
0
09 Jun 2019
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical
  Imaging
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging
F. Gao
H. Yoon
Teresa Wu
Xianghua Chu
22
84
0
05 Jun 2019
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for
  Secure DNN Inference
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference
Peichen Xie
Bingzhe Wu
Guangyu Sun
BDL
FedML
11
33
0
03 Jun 2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image
  Augmentation for Tumor Detection
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Changhee Han
L. Rundo
Ryosuke Araki
Yudai Nagano
Yujiro Furukawa
G. Mauri
Hideki Nakayama
Hideaki Hayashi
MedIm
21
157
0
31 May 2019
A multi-path 2.5 dimensional convolutional neural network system for
  segmenting stroke lesions in brain MRI images
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Yunzhe Xue
F. Farhat
Olga Boukrina
A. Barrett
J. Binder
Usman Roshan
William W. Graves
MedIm
13
64
0
26 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via
  Genetic Algorithm
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm
Jinyin Chen
Mengmeng Su
Shijing Shen
Hui Xiong
Haibin Zheng
AAML
22
67
0
01 May 2019
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative
  Adversarial Network
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
Anmol Sharma
Ghassan Hamarneh
MedIm
GAN
31
169
0
27 Apr 2019
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for
  prostate zonal segmentation of multi-institutional MRI datasets
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
L. Rundo
Changhee Han
Yudai Nagano
Jin Zhang
Ryuichiro Hataya
...
M. Gilardi
Salvatore Vitabile
G. Mauri
Hideki Nakayama
P. Cazzaniga
11
231
0
17 Apr 2019
Brain Tumor Segmentation on MRI with Missing Modalities
Brain Tumor Segmentation on MRI with Missing Modalities
Yan Shen
Mingchen Gao
19
78
0
15 Apr 2019
3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in
  MRI
3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI
Chen Chen
Xiaopeng Liu
Meng Ding
Junfeng Zheng
Jiangyun Li
MedIm
26
150
0
06 Apr 2019
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor
  Detection
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection
Changhee Han
L. Rundo
Ryosuke Araki
Yujiro Furukawa
G. Mauri
Hideki Nakayama
Hideaki Hayashi
MedIm
22
91
0
29 Mar 2019
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical
  Segmentation
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
Adrian Dalca
John Guttag
M. Sabuncu
MedIm
SSeg
30
146
0
07 Mar 2019
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher
  Model
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Wenhui Cui
Yanling Liu
Yuxing Li
Meng-Hao Guo
Yiming Li
Xiuli Li
Tianle Wang
Xiangzhu Zeng
Chuyang Ye
26
174
0
04 Mar 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
29
200
0
15 Feb 2019
Automated brain extraction of multi-sequence MRI using artificial neural
  networks
Automated brain extraction of multi-sequence MRI using artificial neural networks
Fabian Isensee
Marianne Schell
I. Tursunova
G. Brugnara
D. Bonekamp
...
S. Heiland
Wolfgang Wick
Martin Bendszus
Klaus Hermann Maier-Hein
Philipp Kickingereder
22
479
0
31 Jan 2019
Previous
1234
Next