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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
Biwei Huang
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 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
Jingyu Sun
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 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 / 511 papers shown
Title
Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction
  From Binary Classification Models
Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models
Sajith Rajapaksa
Farzad Khalvati
MedIm
27
0
0
09 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft
  Dice optimized segmentation maps in the context of inherent uncertainty
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
J. Bertels
D. Robben
Dirk Vandermeulen
P. Suetens
30
19
0
08 Nov 2022
Does an ensemble of GANs lead to better performance when training
  segmentation networks with synthetic images?
Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images?
Maans Larsson
Muhammad Usman Akbar
Anders Eklund
MedIm
16
3
0
08 Nov 2022
Super-Resolution Based Patch-Free 3D Image Segmentation with
  High-Frequency Guidance
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency Guidance
Hongyi Wang
Lanfen Lin
Hongjie Hu
Qingqing Chen
Yinhao Li
Yutaro Iwamoto
X. Han
Yen-Wei Chen
Ruofeng Tong
3DV
33
0
0
26 Oct 2022
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical
  Analysis
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis
Md Abdullah Al Nasim
Abdullah Al Munem
Maksuda Islam
Md Aminul Haque Palash
Md. Mahim Anjum Haque
F. Shah
29
30
0
24 Oct 2022
Weakly Supervised Learning with Automated Labels from Radiology Reports
  for Glioma Change Detection
Weakly Supervised Learning with Automated Labels from Radiology Reports for Glioma Change Detection
Tommaso Di Noto
Meritxell Bach Cuadra
Chirine Atat
E. Teiga
M. Hegi
A. Hottinger
P. Hagmann
J. Richiardi
MedIm
35
0
0
18 Oct 2022
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
28
27
0
16 Oct 2022
Memory transformers for full context and high-resolution 3D Medical
  Segmentation
Memory transformers for full context and high-resolution 3D Medical Segmentation
Loic Themyr
Clément Rambour
Nicolas Thome
Toby Collins
Alexandre Hostettler
ViT
MedIm
34
4
0
11 Oct 2022
MRI-based classification of IDH mutation and 1p/19q codeletion status of
  gliomas using a 2.5D hybrid multi-task convolutional neural network
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network
Satrajit Chakrabarty
Pamela LaMontagne
J. Shimony
Daniel S. Marcus
Aristeidis Sotiras
37
21
0
07 Oct 2022
Integrative Imaging Informatics for Cancer Research: Workflow Automation
  for Neuro-oncology (I3CR-WANO)
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)
Satrajit Chakrabarty
S. A. Abidi
Mina S. Mousa
Mahati Mokkarala
Isabelle Hren
...
Yuzhuo Su
Sherry Thorpe
Caroline Chung
Aristeidis Sotiras
Daniel S. Marcus
30
8
0
06 Oct 2022
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models
  with Uncertain, Small or Empty Reference Annotations
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations
Sophie Ostmeier
Brian Axelrod
J. Bertels
Fabian Isensee
Maarten G.Lansberg
Soren Christensen
G. Albers
Li-Jia Li
J. Heit
21
11
0
26 Sep 2022
Deep Superpixel Generation and Clustering for Weakly Supervised
  Segmentation of Brain Tumors in MR Images
Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR Images
Jayeon Yoo
Khashayar Namdar
Farzad Khalvati
21
2
0
20 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain
  Knowledge Distillation
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Xuan Gong
Abhishek Sharma
Srikrishna Karanam
Ziyan Wu
Terrence Chen
David Doermann
Arun Innanje
FedML
22
70
0
10 Sep 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing
Calibrating Segmentation Networks with Margin-based Label Smoothing
Balamurali Murugesan
Bingyuan Liu
Adrian Galdran
Ismail Ben Ayed
Jose Dolz
UQCV
32
0
0
09 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
34
10
0
06 Sep 2022
Deep learning automates bidimensional and volumetric tumor burden
  measurement from MRI in pre- and post-operative glioblastoma patients
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients
J. Nalepa
Krzysztof Kotowski
B. Machura
Szymon Adamski
O. Bożek
...
Marek Strzelczak
Lukasz Zarudzki
A. Krason
F. Arcadu
J. Tessier
21
18
0
03 Sep 2022
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor
  Segmentation
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
Zhaohu Xing
Lequan Yu
Liang Wan
Tong Han
Lei Zhu
ViT
MedIm
20
61
0
31 Aug 2022
Deep learning for automatic head and neck lymph node level delineation
  provides expert-level accuracy
Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy
T. Weissmann
Yixing Huang
Stefan Fischer
J. Roesch
S. Mansoorian
...
H. Iro
S. Semrau
Christoph Bert
R. Fietkau
F. Putz
26
27
0
28 Aug 2022
Learning Multi-Modal Brain Tumor Segmentation from Privileged
  Semi-Paired MRI Images with Curriculum Disentanglement Learning
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning
Ze Liu
Jia Wei
Rui Li
21
0
0
26 Aug 2022
Unsupervised Anomaly Localization with Structural Feature-Autoencoders
Unsupervised Anomaly Localization with Structural Feature-Autoencoders
Felix Meissen
Johannes C. Paetzold
Georgios Kaissis
Daniel Rueckert
MedIm
19
15
0
23 Aug 2022
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class
  Features for Medical Image Segmentation
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation
Shiqiang Ma
Xia Li
Jijun Tang
Fei Guo
24
3
0
19 Aug 2022
Recent Progress in Transformer-based Medical Image Analysis
Recent Progress in Transformer-based Medical Image Analysis
Zhao-cheng Liu
Qiujie Lv
Ziduo Yang
Yifan Li
Chau Hung Lee
Leizhao Shen
MedIm
47
58
0
13 Aug 2022
Region-Based Evidential Deep Learning to Quantify Uncertainty and
  Improve Robustness of Brain Tumor Segmentation
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
EDL
OOD
UQCV
14
39
0
11 Aug 2022
Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines
Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines
Khashayar Namdar
Matthias W. Wagner
B. Ertl-Wagner
Farzad Khalvati
AI4CE
19
1
0
29 Jul 2022
A Transformer-based Generative Adversarial Network for Brain Tumor
  Segmentation
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation
Liqun Huang
Long Chen
Bai-wen Zhang
S. Chai
MedIm
ViT
21
27
0
28 Jul 2022
What is Healthy? Generative Counterfactual Diffusion for Lesion
  Localization
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
Pedro Sanchez
Antanas Kascenas
Xiao Liu
Alison Q. OÑeil
Sotirios A. Tsaftaris
MedIm
DiffM
26
63
0
25 Jul 2022
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial
  Training
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training
Zihang Xu
Zhenghua Xu
Shuo Zhang
Thomas Lukasiewicz
30
3
0
24 Jul 2022
The Dice loss in the context of missing or empty labels: Introducing
  $Φ$ and $ε$
The Dice loss in the context of missing or empty labels: Introducing ΦΦΦ and εεε
Sofie Tilborghs
J. Bertels
D. Robben
Dirk Vandermeulen
F. Maes
27
5
0
19 Jul 2022
Large-Kernel Attention for 3D Medical Image Segmentation
Large-Kernel Attention for 3D Medical Image Segmentation
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
MedIm
33
25
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19 Jul 2022
Brain MRI study for glioma segmentation using convolutional neural
  networks and original post-processing techniques with low computational
  demand
Brain MRI study for glioma segmentation using convolutional neural networks and original post-processing techniques with low computational demand
José Gerardo Suárez-García
E. Moreno-Barbosa
B. D. C. Alonso
27
0
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RESECT-SEG: Open access annotations of intra-operative brain tumor
  ultrasound images
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images
Bahareh Behboodi
F. Carton
M. Chabanas
S. Ribaupierre
O. Solheim
B. K. R. Munkvold
H. Rivaz
Yiming Xiao
Ingerid Reinertsen
11
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13 Jul 2022
Generative Adversarial Networks and Other Generative Models
Generative Adversarial Networks and Other Generative Models
Markus T. Wenzel
GAN
22
10
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08 Jul 2022
Computer-aided diagnosis and prediction in brain disorders
Computer-aided diagnosis and prediction in brain disorders
Vikram Venkatraghavan
S. V. D. Voort
D. Bos
M. Smits
F. Barkhof
W. Niessen
S. Klein
Esther E. Bron
OOD
14
1
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29 Jun 2022
TBraTS: Trusted Brain Tumor Segmentation
TBraTS: Trusted Brain Tumor Segmentation
Ke Zou
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
OOD
32
54
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19 Jun 2022
Applications of Generative Adversarial Networks in Neuroimaging and
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Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
Rongguang Wang
V. Bashyam
Zhijian Yang
Fanyang Yu
Vasiliki Tassopoulou
...
Dushyant Sahoo
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Ahmed Abdulkadir
J. Wen
Christos Davatzikos
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AI4CE
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Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric
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Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation
Wenxuan Wang
Chen Chen
Jing Wang
Sen Zha
Yan Zhang
Jiangyun Li
MedIm
23
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14 Jun 2022
Brain tumour segmentation with incomplete imaging data
Brain tumour segmentation with incomplete imaging data
James K. Ruffle
Samia Mohinta
Robert J. Gray
H. Hyare
P. Nachev
32
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13 Jun 2022
Weakly-supervised segmentation using inherently-explainable
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Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification
S. Chatterjee
Hadya Yassin
Florian Dubost
A. Nürnberger
Oliver Speck
23
4
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10 Jun 2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with
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Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
W. H. Pinaya
M. Graham
Robert J. Gray
P. F. D. Costa
Petru-Daniel Tudosiu
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D. Werring
Geraint Rees
P. Nachev
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MedIm
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102
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Dual Decomposition of Convex Optimization Layers for Consistent
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Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
Tom Ron
M. Weiler-Sagie
Tamir Hazan
FAtt
MedIm
27
6
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06 Jun 2022
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Chengliang Dai
Shuo Wang
Yuanhan Mo
Elsa D. Angelini
Yike Guo
Wenjia Bai
DiffM
MedIm
25
10
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02 Jun 2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
Nan Wang
Shaohui Lin
Xiaoxiao Li
Ke Li
Yunhang Shen
Yue Gao
Lizhuang Ma
ViT
MedIm
49
33
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3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image
  Segmentation
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
Minh-Trieu Tran
Viet-Khoa Vo-Ho
Ngan T. H. Le
3DPC
MedIm
20
13
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19 May 2022
Deep Quality Estimation: Creating Surrogate Models for Human Quality
  Ratings
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings
Florian Kofler
Ivan Ezhov
Lucas Fidon
Izabela Horvath
Ezequiel de la Rosa
...
Jan Kirschke
Tom Kamiel Magda Vercauteren
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Unsupervised Representation Learning for 3D MRI Super Resolution with
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Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
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Hao Li
Tao Huang
Euijoon Ahn
Kang Han
Adeel Razi
Wei Xiang
Jinman Kim
David Dagan Feng
OOD
114
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Resource-efficient domain adaptive pre-training for medical images
Resource-efficient domain adaptive pre-training for medical images
Y. Mehmood
U. I. Bajwa
Xianfang Sun
24
1
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Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati
Ujjwal Baid
Brandon Edwards
Micah J. Sheller
Shih-Han Wang
...
Prashant Shah
Bjoern H. Menze
J. Barnholtz-Sloan
Jason Martin
Spyridon Bakas
FedML
AI4CE
26
207
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22 Apr 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for
  Self-supervised Medical Image Analysis
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
F. Haghighi
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
27
72
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21 Apr 2022
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
Haote Xu
Yunlong Zhang
Liyan Sun
Chenxin Li
Yue Huang
Xinghao Ding
MedIm
33
11
0
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Multi-View Hypercomplex Learning for Breast Cancer Screening
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