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. 1811.02629
  4. Cited By
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

5 November 2018
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
Alessandro Crimi
Russell Takeshi Shinohara
Christoph Berger
Sung Min Ha
Martin Rozycki
Marcel Prastawa
Esther Alberts
Jana Lipkova
John Freymann
J. Kirby
Michel Bilello
Hassan Fathallah-Shaykh
Roland Wiest
Jan Kirschke
Benedikt Wiestler
Rivka Colen
Aikaterini Kotrotsou
Pamela Lamontagne
Daniel S. Marcus
Mikhail Milchenko
Arash Nazeri
Marc-Andre Weber
Abhishek Mahajan
Ujjwal Baid
Elizabeth R Gerstner
Dongjin Kwon
Gagan Acharya
Manu Agarwal
Mahbubul Alam
Alberto Albiol
Antonio Albiol
Francisco J. Albiol
Varghese Alex
Nigel Allinson
Pedro H. A. Amorim
Abhijit Amrutkar
Ganesh Anand
Simon Andermatt
Tal Arbel
Pablo Arbelaez
Aaron Avery
Muneeza Azmat
Pranjal B.
W Bai
Subhashis Banerjee
Bill Barth
Thomas Batchelder
Kayhan Batmanghelich
Enzo Battistella
Andrew Beers
Mikhail Belyaev
Martin Bendszus
Eze Benson
Jose Bernal
Halandur Nagaraja Bharath
George Biros
Sotirios Bisdas
James Brown
Mariano Cabezas
Shilei Cao
Jorge M. Cardoso
Eric N Carver
Adrià Casamitjana
Laura Silvana Castillo
Marcel Catà
Philippe Cattin
Albert Cerigues
Vinicius S. Chagas
Siddhartha Chandra
Yi-Ju Chang
Shiyu Chang
Ken Chang
Joseph Chazalon
Shengcong Chen
Wei Chen
Jefferson W. Chen
Zhaolin Chen
Kun Cheng
Ahana Roy Choudhury
Roger Chylla
Albert Clérigues
Steven Colleman
Ramiro German Rodriguez Colmeiro
Marc Combalia
Anthony Costa
Xiaomeng Cui
Zhenzhen Dai
Lutao Dai
Laura Alexandra Daza
Eric Deutsch
Changxing Ding
Chao Dong
Shidu Dong
Wojciech Dudzik
Zach Eaton-Rosen
Gary Egan
Guilherme Escudero
Théo Estienne
Richard Everson
Jonathan Fabrizio
Yong-Xian Fan
Longwei Fang
Xue Feng
Enzo Ferrante
Lucas Fidon
Martin Fischer
Andrew P. French
Naomi Fridman
Huan Fu
David T. Fuentes
Yaozong Gao
Evan Gates
David Gering
Amir Gholami
Willi Gierke
Ben Glocker
Mingming Gong
Sandra González-Villá
T. Grosges
Yuanfang Guan
Sheng Guo
Sudeep Gupta
Woo-Sup Han
Il Song Han
Konstantin Harmuth
Huiguang He
Aura Hernández-Sabaté
Evelyn Herrmann
Naveen Himthani
Winston H. Hsu
Cheyu Hsu
Xiaojun Hu
Xiaobin Hu
Yan Hu
Yifan Hu
Rui Hua
Teng-Yi Huang
Weilin Huang
Sabine Van Huffel
Quan Huo
Vivek HV
Khan M. Iftekharuddin
Fabian Isensee
Mobarakol Islam
Aaron S. Jackson
Sachin R. Jambawalikar
Andrew Jesson
Weijian Jian
Peter Jin
V Jeya Maria Jose
Alain Jungo
Bernhard Kainz
Konstantinos Kamnitsas
Po-Yu Kao
Ayush Karnawat
Thomas Kellermeier
Adel Kermi
Kurt Keutzer
Mohamed Tarek Khadir
Mahendra Khened
Philipp Kickingereder
Geena Kim
Nik King
Haley Knapp
Urspeter Knecht
Lisa Kohli
Deren Kong
Xiangmao Kong
Simon Koppers
Avinash Kori
Ganapathy Krishnamurthi
Egor Krivov
Piyush Kumar
Kaisar Kushibar
Dmitrii Lachinov
Tryphon Lambrou
Joon-Young Lee
Chengen Lee
Yuehchou Lee
M Lee
Szidonia Lefkovits
Laszlo Lefkovits
James Levitt
Tengfei Li
Hongwei Bran Li
Wenqi Li
Hongyang Li
Xiaochuan Li
Yuexiang Li
Heng Li
Zhenye Li
Xiaoyu Li
Zeju Li
XiaoGang Li
Wenqi Li
Zheng-Shen Lin
Fengming Lin
Pietro Lio
Chang Liu
Boqiang Liu
Xiang Liu
Mingyuan Liu
Ju Liu
Luyan Liu
Xavier Llado
Marc Moreno Lopez
Pablo Ribalta Lorenzo
Zhentai Lu
Lin Luo
Zhigang Luo
Jun Ma
A. Mahajan
Thomas Mackie
Anant Madabushi
Issam Mahmoudi
A. Nazeri
Pradipta Maji
C. P. Mammen
Andreas Mang
B. S. Manjunath
Michal Marcinkiewicz
Steven G. McDonagh
Stephen McKenna
Richard McKinley
Miriam Mehl
Sachin Mehta
Raghav Mehta
Raphael Meier
Christoph Meinel
Dorit Merhof
Craig Meyer
Robert Miller
Sushmita Mitra
Aliasgar Moiyadi
David Molina-Garcia
Miguel A. B. Monteiro
Grzegorz Mrukwa
Andriy Myronenko
Jakub Nalepa
Thuyen Ngo
Dongjin Kwon
Holly Ning
Chen Niu
Nicholas K Nuechterlein
Eric Oermann
Arlindo L. Oliveira
Diego D. C. Oliveira
Arnau Oliver
Alexander F. I. Osman
Yu-Nian Ou
Sebastien Ourselin
Nikos Paragios
Moo Sung Park
Brad Paschke
J. Gregory Pauloski
Kamlesh Pawar
Nick Pawlowski
Linmin Pei
Suting Peng
Silvio M. Pereira
Julian Perez-Beteta
Victor M. Perez-Garcia
Simon Pezold
Bao Pham
A. Albiol
Gemma Piella
G. N. Pillai
Marie Piraud
Maxim Pisov
Anmol Popli
Michael P. Pound
Reza Pourreza
Prateek Prasanna
Vesna Prkovska
Tony P. Pridmore
Santi Puch
Élodie Puybareau
Buyue Qian
Xu Qiao
Martin Rajchl
Swapnil Rane
Michael Rebsamen
Hongliang Ren
Xuhua Ren
Karthik Revanuru
Mina Rezaei
Oliver Rippel
Luis Carlos Rivera
Charlotte Robert
Bruce Rosen
Alex Varghese
Mohammed Safwan
Mostafa Salem
A. Albiol
Irina Sanchez
Irina Sánchez
Heitor M. Santos
Emmett Sartor
Dawid Schellingerhout
Klaudius Scheufele
Matthew R. Scott
Artur A. Scussel
Sara Sedlar
Juan Pablo Serrano-Rubio
N. Jon Shah
Nameetha Shah
Mazhar Shaikh
B. Pranjal
Zeina A. Shboul
Haipeng Shen
Dinggang Shen
LinLin Shen
Haocheng Shen
Aaron Avery
Feng Shi
Hyung Eun Shin
Hai Shu
Diana Sima
Matthew Sinclair
Orjan Smedby
James M. Snyder
Mohammadreza Soltaninejad
Guidong Song
Mehul Soni
Jean Stawiaski
Shashank Subramanian
Li Sun
Roger Sun
Jiawei Sun
Kay Sun
Yu Sun
Guoxia Sun
Shuang Sun
Yannick R Suter
Laszlo Szilagyi
Sanjay Talbar
Dacheng Tao
Dacheng Tao
Zhongzhao Teng
Siddhesh P. Thakur
Meenakshi H Thakur
Sameer Tharakan
Pallavi Tiwari
Guillaume Tochon
Tuan Tran
Yuhsiang M. Tsai
Kuan-Lun Tseng
T. Tuan
Vadim Turlapov
Nicholas J. Tustison
Maria Vakalopoulou
Sergi Valverde
Rami Vanguri
Evgeny Vasiliev
Jonathan Ventura
Luis Vera
Tom Vercauteren
C. A. Verrastro
Lasitha Vidyaratne
Verónica Vilaplana
Ajeet Vivekanandan
Guotai Wang
Qian Wang
Chiatse J. Wang
Weichung Wang
Duo Wang
Ruixuan Wang
Yuanyuan Wang
Chunliang Wang
Guotai Wang
Ning Wen
Xin Wen
Leon Weninger
Wolfgang Wick
Shaocheng Wu
Qiang Wu
Yihong Wu
Yong-quan Xia
Yanwu Xu
Xiaowen Xu
Peiyuan Xu
Tsai-Ling Yang
Xiaoping Yang
Hao-Yu Yang
Junlin Yang
Haojin Yang
Guang Yang
Hongdou Yao
Xujiong Ye
Changchang Yin
Brett Young-Moxon
Jinhua Yu
Xiangyu Yue
Songtao Zhang
Angela Zhang
Kun Zhang
Xuejie Zhang
Lichi Zhang
Xiaoyue Zhang
Yi-Ju Chang
Lei Zhang
Jianguo Zhang
Xiang Zhang
Tianhao Zhang
Sicheng Zhao
Yu Zhao
Xiaomei Zhao
Liang Zhao
Yefeng Zheng
Liming Zhong
Chenhong Zhou
Xiaobing Zhou
Fan Zhou
Hongtu Zhu
Jin Zhu
Ying Zhuge
Weiwei Zong
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern H. Menze
ArXivPDFHTML

Papers citing "Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge"

50 / 510 papers shown
Title
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling
Christian Etmann
Rihuan Ke
Carola-Bibiane Schönlieb
SSeg
9
18
0
11 May 2020
Synergistic Learning of Lung Lobe Segmentation and Hierarchical
  Multi-Instance Classification for Automated Severity Assessment of COVID-19
  in CT Images
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images
Kelei He
Wei-Ye Zhao
Xingzhi Xie
Wen Ji
Mingxia Liu
...
F. Shi
Yang Gao
Jun Liu
Junfeng Zhang
D. Shen
12
95
0
08 May 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for
  Medical Image Analysis
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
Xiaozhen Xie
J. Niu
Xuefeng Liu
Zhengsu Chen
Shaojie Tang
Shui Yu
17
15
0
25 Apr 2020
Models Genesis
Models Genesis
Zongwei Zhou
V. Sodha
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
8
26
0
09 Apr 2020
Arbitrary Scale Super-Resolution for Brain MRI Images
Arbitrary Scale Super-Resolution for Brain MRI Images
Chuan Tan
Jin Zhu
Pietro Lió
OOD
MedIm
6
25
0
05 Apr 2020
Vox2Vox: 3D-GAN for Brain Tumour Segmentation
Vox2Vox: 3D-GAN for Brain Tumour Segmentation
M. Cirillo
David Abramian
Anders Eklund
13
111
0
19 Mar 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,703
0
18 Mar 2020
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation
Hanxiao Zhang
Jingxiong Li
Mali Shen
Yaqi Wang
Guang-Zhong Yang
3DV
6
7
0
03 Mar 2020
Random Bundle: Brain Metastases Segmentation Ensembling through
  Annotation Randomization
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization
Darvin Yi
E. Grøvik
Michael Iv
E. Tong
Greg Zaharchuk
D. Rubin
23
2
0
23 Feb 2020
Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images
Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images
Ali Hatamizadeh
Demetri Terzopoulos
Andriy Myronenko
6
17
0
11 Feb 2020
Knowledge Distillation for Brain Tumor Segmentation
Knowledge Distillation for Brain Tumor Segmentation
Dmitrii Lachinov
E. Shipunova
Vadim Turlapov
13
15
0
10 Feb 2020
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep
  Learning in Multiview Information with Attention
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention
Guang Yang
Jun Chen
Z. Gao
Shuo Li
Hao Ni
...
Yanping Zhang
Xiuquan Du
Heye Zhang
D. Firmin
J. Keegan
8
1
0
02 Feb 2020
Brain Metastasis Segmentation Network Trained with Robustness to
  Annotations with Multiple False Negatives
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
Darvin Yi
E. Grøvik
Michael Iv
E. Tong
Greg Zaharchuk
D. Rubin
OOD
4
1
0
26 Jan 2020
Domain Adaptive Medical Image Segmentation via Adversarial Learning of
  Disease-Specific Spatial Patterns
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns
Hongwei Bran Li
T. Loehr
Anjany Sekuboyina
Jianguo Zhang
Benedikt Wiestler
Bjoern H. Menze
OOD
8
3
0
25 Jan 2020
Distributionally Robust Deep Learning using Hardness Weighted Sampling
Distributionally Robust Deep Learning using Hardness Weighted Sampling
Lucas Fidon
Michael Aertsen
Thomas Deprest
Doaa Emam
Frédéric Guffens
...
Andrew Melbourne
Sébastien Ourselin
Jan Deprest
Georg Langs
Tom Kamiel Magda Vercauteren
OOD
9
10
0
08 Jan 2020
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs
Andriy Myronenko
Ali Hatamizadeh
17
45
0
06 Jan 2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation
  and Analysis
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Mahendra Khened
Avinash Kori
Haran Rajkumar
Balaji Srinivasan
Ganapathy Krishnamurthi
MedIm
LM&MA
199
166
0
01 Jan 2020
Transfer Learning for Brain Tumor Segmentation
Transfer Learning for Brain Tumor Segmentation
Jonas Wacker
Marcelo Ladeira
J. Nascimento
MedIm
6
21
0
28 Dec 2019
Robustness of Brain Tumor Segmentation
Robustness of Brain Tumor Segmentation
Sabine Müller
Joachim Weickert
N. Graf
AAML
OOD
12
5
0
24 Dec 2019
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis
  Segmentation
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation
Darvin Yi
E. Grøvik
Michael Iv
E. Tong
K. Emblem
...
A. Latysheva
K. Jacobsen
Å. Helland
Greg Zaharchuk
D. Rubin
OOD
8
12
0
18 Dec 2019
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival
  Prediction
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction
Xiaoqing Guo
Chen Yang
P. Lam
P. Woo
Yixuan Yuan
25
19
0
16 Dec 2019
The state of the art in kidney and kidney tumor segmentation in
  contrast-enhanced CT imaging: Results of the KiTS19 Challenge
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
N. Heller
Fabian Isensee
Klaus H. Maier-Hein
X. Hou
Chunmei Xie
...
S. Peterson
A. Kalapara
N. Sathianathen
Nikolaos Papanikolopoulos
C. Weight
17
471
0
02 Dec 2019
ModelHub.AI: Dissemination Platform for Deep Learning Models
ModelHub.AI: Dissemination Platform for Deep Learning Models
A. Hosny
M. Schwier
Christoph Berger
Evin Pınar Örnek
Mehmet Turan
...
U. Hoffmann
Bjoern H. Menze
Spyridon Bakas
Andrey Fedorov
Hugo J. W. L. Aerts
VLM
9
19
0
26 Nov 2019
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival
  Prediction
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction
Mehdi Amian
Mohammadreza Soltaninejad
22
32
0
19 Nov 2019
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival
  Prediction
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction
Shuo Wang
Chengliang Dai
Yuanhan Mo
Elsa D. Angelini
Yike Guo
Wenjia Bai
9
24
0
19 Nov 2019
Optimization with soft Dice can lead to a volumetric bias
Optimization with soft Dice can lead to a volumetric bias
J. Bertels
D. Robben
Dirk Vandermeulen
P. Suetens
11
23
0
06 Nov 2019
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation
  Problem
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem
Sergey Pavlov
Alexey Artemov
M. Sharaev
A. Bernstein
Evgeny Burnaev
17
5
0
05 Nov 2019
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer
  Assisted Interventions
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions
Tom Kamiel Magda Vercauteren
Mathias Unberath
N. Padoy
Nassir Navab
8
112
0
20 Oct 2019
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded
  Networks
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks
Minh H. Vu
T. Nyholm
Tommy Löfstedt
8
32
0
11 Oct 2019
Semi-Supervised Variational Autoencoder for Survival Prediction
Semi-Supervised Variational Autoencoder for Survival Prediction
Sveinn Pálsson
Stefano Cerri
Andrea Dittadi
Koen van Leemput
DRL
14
5
0
10 Oct 2019
Memory efficient brain tumor segmentation using an
  autoencoder-regularized U-Net
Memory efficient brain tumor segmentation using an autoencoder-regularized U-Net
Markus Frey
Maria Shugrina
11
17
0
04 Oct 2019
Privacy-preserving Federated Brain Tumour Segmentation
Privacy-preserving Federated Brain Tumour Segmentation
Wenqi Li
Fausto Milletarì
Daguang Xu
Nicola Rieke
Jonny Hancox
...
Maximilian Baust
Yan Cheng
Sébastien Ourselin
M. Jorge Cardoso
Andrew Feng
FedML
6
475
0
02 Oct 2019
Improvement of Multiparametric MR Image Segmentation by Augmenting the
  Data with Generative Adversarial Networks for Glioma Patients
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients
Eric N Carver
Z. Dai
E. Liang
James M. Snyder
Ning Wen
MedIm
11
13
0
01 Oct 2019
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans
M. Hamghalam
Baiying Lei
Tianfu Wang
MedIm
4
32
0
27 Sep 2019
Brain Tumor Segmentation and Survival Prediction
Brain Tumor Segmentation and Survival Prediction
R. Agravat
M. Raval
19
52
0
20 Sep 2019
3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction
3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction
Feifan Wang
Runzhou Jiang
Liqin Zheng
Chun Meng
B. Biswal
23
7
0
15 Sep 2019
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective
  Clinical Evaluation
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation
B. Shirokikh
A. Dalechina
A. Shevtsov
Egor Krivov
V. Kostjuchenko
A. Durgaryan
M. Galkin
I. Osinov
A. Golanov
Mikhail Belyaev
3DV
6
5
0
06 Sep 2019
Demystifying Brain Tumour Segmentation Networks: Interpretability and
  Uncertainty Analysis
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
Parth Natekar
Avinash Kori
Ganapathy Krishnamurthi
25
1
0
03 Sep 2019
Global Planar Convolutions for improved context aggregation in Brain
  Tumor Segmentation
Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation
Santi Puch
Irina Sánchez
Aura Hernández
Gemma Piella
V. Prčkovska
3DV
6
13
0
27 Aug 2019
Multi-step Cascaded Networks for Brain Tumor Segmentation
Multi-step Cascaded Networks for Brain Tumor Segmentation
Xiangyu Li
Gongning Luo
Kuanquan Wang
14
59
0
16 Aug 2019
Automated Brain Tumour Segmentation Using Deep Fully Residual
  Convolutional Neural Networks
Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks
Indrajit Mazumdar
12
4
0
12 Aug 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
16
47
0
18 Jul 2019
Assessing Reliability and Challenges of Uncertainty Estimations for
  Medical Image Segmentation
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
Alain Jungo
M. Reyes
UQCV
17
134
0
07 Jul 2019
Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion
  Prior
Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior
Po-Yu Kao
Jefferson W. Chen
B. S. Manjunath
11
6
0
29 Jun 2019
Multi-scale self-guided attention for medical image segmentation
Multi-scale self-guided attention for medical image segmentation
Ashish Sinha
Jose Dolz
SSeg
15
412
0
07 Jun 2019
One-pass Multi-task Networks with Cross-task Guided Attention for Brain
  Tumor Segmentation
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Chenhong Zhou
Changxing Ding
Xinchao Wang
Zhentai Lu
Dacheng Tao
6
165
0
05 Jun 2019
Task Decomposition and Synchronization for Semantic Biomedical Image
  Segmentation
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Xuhua Ren
Lichi Zhang
Sahar Ahmad
Dong Nie
Fan Yang
L. Xiang
Qian Wang
D. Shen
17
26
0
21 May 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
11
148
0
06 Apr 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
16
838
0
25 Feb 2019
Motion Corrected Multishot MRI Reconstruction Using Generative Networks
  with Sensitivity Encoding
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
Muhammad Usman
Muhammad Asim
S. Latif
B. Lee
Junaid Qadir
MedIm
DiffM
GAN
20
58
0
20 Feb 2019
Previous
123...10119
Next