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1603.05959
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Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
18 March 2016
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
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Papers citing
"Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation"
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Title
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors
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Luis H. Braga
R. Sonnadara
Kiret Dhindsa
GAN
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2
0
04 Feb 2021
Few-shot Learning for CT Scan based COVID-19 Diagnosis
Yifan Jiang
Han Chen
D. Han
Hanseok Ko
OOD
26
16
0
01 Feb 2021
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention
Haochen Mei
Wenhui Lei
Ran Gu
Shan Ye
Zhengwentai Sun
Shichuan Zhang
Guotai Wang
31
23
0
27 Jan 2021
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
Vien Ngoc Dang
Francesco Galati
Rosa Cortese
G. Giacomo
Viola Marconeto
Pratek Mathur
Karim Lekadir
Marco Lorenzi
F. Prados
Maria A. Zuluaga
MedIm
25
35
0
22 Jan 2021
A survey on shape-constraint deep learning for medical image segmentation
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
3DV
36
34
0
19 Jan 2021
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms
D. Bouget
André Pedersen
Sayied Abdol Mohieb Hosainey
O. Solheim
Ingerid Reinertsen
50
24
0
19 Jan 2021
Bladder segmentation based on deep learning approaches: current limitations and lessons
M. Bandyk
D. Gopireddy
C. Lall
K. Balaji
Jose Dolz
16
0
0
16 Jan 2021
MRI Images, Brain Lesions and Deep Learning
D. Castillo
Vasudevan Lakshminarayanan
M. Rodríguez-Álvarez
OOD
30
3
0
13 Jan 2021
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture
V. K. Anand
Sanjeev Grampurohit
P. Aurangabadkar
Avinash Kori
Mahendra Khened
R. S. Bhat
Ganapathy Krishnamurthi
19
29
0
05 Jan 2021
Combining unsupervised and supervised learning for predicting the final stroke lesion
Adriano Pinto
Sérgio Pereira
Raphael Meier
Roland Wiest
Victor Alves
M. Reyes
Carlos Alberto Silva
11
26
0
02 Jan 2021
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task
Haozhe Jia
Weidong (Tom) Cai
Heng-Chiao Huang
Yong-quan Xia
27
45
0
30 Dec 2020
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
Laura Mora Ballestar
Verónica Vilaplana
24
36
0
30 Dec 2020
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
Juan Eugenio Iglesias
Benjamin Billot
Yael Balbastre
A. Tabari
J. Conklin
Daniel C. Alexander
Polina Golland
B. Edlow
Bruce Fischl
42
101
0
24 Dec 2020
A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?
Yi Ding
Wei Zheng
Guozheng Wu
Ji Geng
Mingsheng Cao
Zhiguang Qin
19
1
0
21 Dec 2020
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks
Matthew Sinclair
A. Schuh
K. Hahn
K. Petersen
Ying Bai
James Batten
M. Schaap
Ben Glocker
25
30
0
18 Dec 2020
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation
R. A. Kamraoui
Vinh-Thong Ta
T. Tourdias
Boris Mansencal
J. V. Manjón
Pierrick Coupé
OOD
31
50
0
14 Dec 2020
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Jiafa He
Changzai Pan
Can Yang
Ming Zhang
Yang Wang
Xiaowei Zhou
Yizhou Yu
3DPC
17
25
0
14 Dec 2020
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods
H. Zhang
I. Oguz
30
14
0
12 Dec 2020
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
Saqib Qamar
Parvez Ahmad
Linlin Shen
25
26
0
12 Dec 2020
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty
Richard McKinley
M. Rebsamen
Katrin Daetwyler
Raphael Meier
Piotr Radojewski
Roland Wiest
3DV
21
26
0
11 Dec 2020
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
Yulei Qin
Hao Zheng
Yun Gu
Xiaolin Huang
Jie Yang
Lihui Wang
Feng Yao
Y. Zhu
Guang-Zhong Yang
11
74
0
10 Dec 2020
Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models
Kevin Raina
14
1
0
04 Dec 2020
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation
Ngan Le
Kashu Yamazaki
Dat T. Truong
Kha Gia Quach
Marios Savvides
MedIm
28
18
0
03 Dec 2020
Reducing Textural Bias Improves Robustness of Deep Segmentation Models
Seoin Chai
Daniel Rueckert
Ahmed E. Fetit
OOD
12
2
0
30 Nov 2020
Modelling brain lesion volume in patches with CNN-based Poisson Regression
Kevin Raina
MedIm
6
0
0
26 Nov 2020
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Abel Díaz Berenguer
Hichem Sahli
Boris Joukovsky
Maryna Kvasnytsia
Ine Dirks
...
P. Meunier
S. Gryspeerdt
K. Smet
B. Jansen
Jef Vandemeulebroucke
23
8
0
23 Nov 2020
Automatic Brain Tumor Segmentation with Scale Attention Network
Yading Yuan
33
32
0
06 Nov 2020
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey
Dan Zhao
Guizhi Xu
Xu Zhenghua
Thomas Lukasiewicz
Minmin Xue
Zhigang Fu
OOD
11
2
0
02 Nov 2020
Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint
Chenyu Liu
Wangbin Ding
Lei Li
Zhen Zhang
Chenhao Pei
Liqin Huang
Xiahai Zhuang
25
26
0
29 Oct 2020
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index
Tom Eelbode
J. Bertels
Maxim Berman
Dirk Vandermeulen
F. Maes
R. Bisschops
Matthew B. Blaschko
30
255
0
26 Oct 2020
Context Aware 3D UNet for Brain Tumor Segmentation
Parvez Ahmad
Saqib Qamar
Linlin Shen
Adnan Saeed
SSeg
21
35
0
25 Oct 2020
Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery
Moucheng Xu
13
0
0
24 Oct 2020
Weakly-supervised Learning For Catheter Segmentation in 3D Frustum Ultrasound
Hongxu Yang
Caifeng Shan
Alexander F. Kolen
Peter H. N. de With
16
13
0
19 Oct 2020
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Eva Schnider
Antal Huck-Horváth
G. Rauter
A. Zam
M. Müller-Gerbl
Philippe C. Cattin
19
10
0
14 Oct 2020
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
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
V. Bashyam
J. Doshi
G. Erus
D. Srinivasan
Ahmed Abdulkadir
...
R. Nick
David A. Wolk
H. Shou
I. Nasrallah
Christos Davatzikos
MedIm
19
17
0
11 Oct 2020
Physical invariance in neural networks for subgrid-scale scalar flux modeling
Hugo Frezat
G. Balarac
Julien Le Sommer
Ronan Fablet
Redouane Lguensat
AI4CE
37
44
0
09 Oct 2020
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization
Alexander Katzmann
O. Taubmann
Stephen Ahmad
Alexander Muhlberg
M. Sühling
H. Groß
MedIm
13
19
0
09 Oct 2020
Memory-efficient GAN-based Domain Translation of High Resolution 3D Medical Images
H. Uzunova
J. Ehrhardt
Heinz Handels
MedIm
16
45
0
06 Oct 2020
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning
Ezequiel de la Rosa
Diana Sima
Bjoern H. Menze
Jan S. Kirschke
D. Robben
30
13
0
04 Oct 2020
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation
Kang Li
Lequan Yu
Shujun Wang
Pheng-Ann Heng
36
103
0
04 Oct 2020
Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans
Zohaib Salahuddin
Matthias Lenga
H. Nickisch
3DPC
6
14
0
02 Oct 2020
Realistic Image Normalization for Multi-Domain Segmentation
Pierre-Luc Delisle
Benoit Anctil-Robitaille
Christian Desrosiers
H. Lombaert
36
17
0
29 Sep 2020
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network
Hieu T. Nguyen
T. Le
T. Nguyen
N. T. Nguyen
15
20
0
25 Sep 2020
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Laura Mora Ballestar
Verónica Vilaplana
26
8
0
24 Sep 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Ran Gu
Guotai Wang
Tao Song
Rui Huang
Michael Aertsen
Jan Deprest
Sébastien Ourselin
Tom Kamiel Magda Vercauteren
Shaoting Zhang
SSeg
36
457
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22 Sep 2020
Radiologist-level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans
Lukas Hirsch
Yu Huang
Shaojun Luo
Carolina Rossi Saccarelli
Roberto Lo Gullo
...
Pierre Elnajjar
Elizabeth A. Morris
H. Makse
Lucas C. Parra
Elizabeth J. Sutton
MedIm
17
32
0
21 Sep 2020
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare
Matei Grama
M. Mușat
Luis Muñoz-González
Jonathan Passerat-Palmbach
Daniel Rueckert
A. Alansary
OOD
FedML
14
45
0
17 Sep 2020
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
Arnaud Boutillon
Bhushan S Borotikar
Valérie Burdin
Pierre-Henri Conze
MedIm
23
18
0
15 Sep 2020
EfficientSeg: An Efficient Semantic Segmentation Network
V. B. Yesilkaynak
Y. Sahin
Gözde B. Ünal
SSeg
25
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14 Sep 2020
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