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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
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
Beware of diffusion models for synthesizing medical images -- A
  comparison with GANs in terms of memorizing brain MRI and chest x-ray images
Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images
Muhammad Usman Akbar
Wuhao Wang
Anders Eklund
DiffM
MedIm
23
15
0
12 May 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023:
  Intracranial Meningioma
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
D. Labella
Maruf Adewole
M. Alonso-Basanta
Talissa Altes
Syed Muhammad Anwar
...
J. Rudie
N. Tahon
J. Villanueva-Meyer
Benedikt Wiestler
Evan Calabrese
26
28
0
12 May 2023
Hyperbolic Deep Learning in Computer Vision: A Survey
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes
Mina Ghadimi Atigh
Martin Keller-Ressel
Jeffrey Gu
Serena Yeung
28
38
0
11 May 2023
Neuralizer: General Neuroimage Analysis without Re-Training
Neuralizer: General Neuroimage Analysis without Re-Training
Steffen Czolbe
H. Dickinson
OOD
35
12
0
04 May 2023
Expectation Maximization Pseudo Labels
Expectation Maximization Pseudo Labels
Moucheng Xu
Yukun Zhou
Chen Jin
M. Groot
Daniel C. Alexander
N. Oxtoby
Yipeng Hu
Joseph Jacob
60
2
0
02 May 2023
Unsupervised Discovery of 3D Hierarchical Structure with Generative
  Diffusion Features
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
Nurislam Tursynbek
Marc Niethammer
MedIm
DiffM
23
5
0
28 Apr 2023
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality
  MRI Synthesis
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis
Shaoyan Pan
Chih-Wei Chang
Junbo Peng
Jiahan Zhang
Richard L. J. Qiu
Tonghe Wang
J. Roper
Tian Liu
H. Mao
Xiaofeng Yang
MedIm
DiffM
19
21
0
28 Apr 2023
Segment Anything in Medical Images
Segment Anything in Medical Images
Jun Ma
Yuting He
Feifei Li
Li-Jun Han
Chenyu You
Bo Wang
MedIm
VLM
36
448
0
24 Apr 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
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical
  Volumetric Segmentation
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
Jiachen Shen
Wenxuan Wang
Chen Chen
Jianbo Jiao
Jing Liu
Yan Zhang
Shanshan Song
Jiangyun Li
37
1
0
21 Apr 2023
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image
  Segmentation
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
Wenxuan Wang
Jing Wang
C. L. P. Chen
Jianbo Jiao
Yuanxiu Cai
Shanshan Song
Jiangyun Li
MedIm
23
18
0
21 Apr 2023
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical
  Images: Accuracy in 12 Datasets
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets
Sheng He
Rina Bao
Jingpeng Li
J. Stout
A. Bjørnerud
P. E. Grant
Yangming Ou
VLM
29
69
0
18 Apr 2023
Scale-Equivariant Deep Learning for 3D Data
Scale-Equivariant Deep Learning for 3D Data
Thomas Wimmer
Vladimir Golkov
H. Dang
Moritz Zaiss
Andreas K. Maier
Daniel Cremers
3DPC
MedIm
18
5
0
12 Apr 2023
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
Yue Zhang
Chengtao Peng
Qiuli Wang
Dan Song
Kaiyan Li
S. Kevin Zhou
MedIm
47
21
0
11 Apr 2023
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For
  Medical Imaging Segmentation
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation
A. Celaya
B. Rivière
David T. Fuentes
6
4
0
05 Apr 2023
U-Netmer: U-Net meets Transformer for medical image segmentation
U-Netmer: U-Net meets Transformer for medical image segmentation
Sheng He
Rina Bao
P. E. Grant
Yangming Ou
ViT
MedIm
25
13
0
03 Apr 2023
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from
  Spatial Aleatoric Uncertainty
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty
Kilian Zepf
Selma Wanna
M. Miani
Juston Moore
J. Frellsen
Søren Hauberg
Aasa Feragen
Frederik Warburg
UQCV
27
4
0
23 Mar 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image
  Segmentation with Multi-agent Reinforcement Learning
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning
Chaofan Ma
Qisen Xu
Xiangfeng Wang
Bo Jin
Xiaoyun Zhang
Yanfeng Wang
Ya-Qin Zhang
27
22
0
19 Mar 2023
A Radiomics-Incorporated Deep Ensemble Learning Model for
  Multi-Parametric MRI-based Glioma Segmentation
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation
Yang Chen
Zhenyu Yang
Jingtong Zhao
J. Adamson
Y. Sheng
F. Yin
C. Wang
30
2
0
19 Mar 2023
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Zhaohu Xing
Liang Wan
H. Fu
Guang Yang
Lei Zhu
MedIm
6
48
0
18 Mar 2023
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical
  Imaging Systems
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems
Erik Ostrowski
B. Prabakaran
Muhammad Shafique
13
0
0
14 Mar 2023
ReFit: A Framework for Refinement of Weakly Supervised Semantic
  Segmentation using Object Border Fitting for Medical Images
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images
B. Prabakaran
Erik Ostrowski
Muhammad Shafique
13
1
0
14 Mar 2023
Trust your neighbours: Penalty-based constraints for model calibration
Trust your neighbours: Penalty-based constraints for model calibration
Balamurali Murugesan
V. SukeshAdiga
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
15
9
0
11 Mar 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation
  with Missing Modalities
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
Hong Liu
Dong Wei
Donghuan Lu
J. Sun
Liansheng Wang
Yefeng Zheng
14
39
0
09 Mar 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in
  Medical Image Analysis
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
Raghav Mehta
Changjian Shui
Tal Arbel
16
12
0
06 Mar 2023
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based
  Self-Supervised Medical Image Segmentation
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation
Xiang-Fei Wang
Ruizhi Wang
Biao Tian
Jiaojiao Zhang
Shuo Zhang
Junyang Chen
Thomas Lukasiewicz
Zhenghua Xu
14
1
0
27 Feb 2023
A residual dense vision transformer for medical image super-resolution
  with segmentation-based perceptual loss fine-tuning
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning
Jin Zhu
Guang Yang
Pietro Lio'
ViT
MedIm
24
5
0
22 Feb 2023
Multi-class Brain Tumor Segmentation using Graph Attention Network
Multi-class Brain Tumor Segmentation using Graph Attention Network
Dhrumil Patel
Dhruv Patel
Rudra Saxena
Thangarajah Akilan
11
7
0
11 Feb 2023
Complex Network for Complex Problems: A comparative study of CNN and
  Complex-valued CNN
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN
S. Chatterjee
Pavan Tummala
Oliver Speck
A. Nürnberger
11
10
0
09 Feb 2023
A Generalized Surface Loss for Reducing the Hausdorff Distance in
  Medical Imaging Segmentation
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
A. Celaya
B. Rivière
David T. Fuentes
MedIm
23
7
0
08 Feb 2023
How Reliable is Your Regression Model's Uncertainty Under Real-World
  Distribution Shifts?
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
OOD
UQCV
42
12
0
07 Feb 2023
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling,
  Annotation Redundancy Restriction, and Data Initialization
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization
Daniel D. Kim
Rajat S. Chandra
Jianbiao Peng
Jing Wu
Xue Feng
...
Li Yang
A. Kazerooni
A. Nabavizadeh
Harrison X. Bai
Zhicheng Jiao
13
5
0
05 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Biwei Huang
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
50
11
0
29 Jan 2023
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale
  Feature Fusion Approach
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
Reza Azad
Yiwei Jia
Ehsan Khodapanah Aghdam
Julien Cohen-Adad
Dorit Merhof
ViT
MedIm
28
26
0
25 Jan 2023
The role of noise in denoising models for anomaly detection in medical
  images
The role of noise in denoising models for anomaly detection in medical images
Antanas Kascenas
Pedro Sanchez
Patrick Schrempf
C. Wang
William Clackett
...
K. Goatman
Alexander Weir
N. Pugeault
Sotirios A. Tsaftaris
Alison Q. OÑeil
DiffM
MedIm
19
30
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19 Jan 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised
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ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
Chinmay Prabhakar
Hongwei Bran Li
Jiancheng Yang
Suprosana Shit
Benedikt Wiestler
Bjoern H. Menze
ViT
MedIm
21
11
0
18 Jan 2023
Artificial Intelligence Model for Tumoral Clinical Decision Support
  Systems
Artificial Intelligence Model for Tumoral Clinical Decision Support Systems
Guillermo Iglesias
Edgar Talavera
J. Troya
Alberto Díaz-Álvarez
Miguel García-Remesal
8
2
0
09 Jan 2023
Explicit Abnormality Extraction for Unsupervised Motion Artifact
  Reduction in Magnetic Resonance Imaging
Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging
Yusheng Zhou
Hao Li
Jianan Liu
Zhengmin Kong
Tao Huang
Euijoon Ah
Zhihan Lv
Jinman Kim
David Dagan Feng
MedIm
19
0
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04 Jan 2023
Approaching Peak Ground Truth
Approaching Peak Ground Truth
Florian Kofler
J. Wahle
Ivan Ezhov
S. J. Wagner
Rami Al-Maskari
...
Jan Kirschke
C. Zimmer
Benedikt Wiestler
Bjoern H. Menze
Marie Piraud
29
9
0
31 Dec 2022
Towards fully automated deep-learning-based brain tumor segmentation: is
  brain extraction still necessary?
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?
Bruno Machado Pacheco
G. Cassia
Danilo Silva
3DV
11
10
0
14 Dec 2022
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With
  Annotation-Efficient Supervision
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision
Malo Alefsen de Boisredon dÁssier
Eugene Vorontsov
Samuel Kadoury
MedIm
25
2
0
14 Dec 2022
Joint Self-Supervised Image-Volume Representation Learning with
  Intra-Inter Contrastive Clustering
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
D. M. Nguyen
Hoangvu Nguyen
M. T. N. Truong
T. Cao
Binh Duc Nguyen
Nhat Ho
Paul Swoboda
Shadi Albarqouni
P. Xie
Daniel Sonntag
SSL
16
21
0
04 Dec 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised
  Representation: Applications on Natural and Medical Images
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images
Hongwei Bran Li
Chinmay Prabhakar
Suprosanna Shit
Johannes C. Paetzold
Tamaz Amiranashvili
Jianguo Zhang
Daniel Rueckert
Juan Eugenio Iglesias
Benedikt Wiestler
Bjoern H. Menze
OOD
SSL
25
2
0
03 Dec 2022
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-Net
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
17
264
0
27 Nov 2022
Differentiable Uncalibrated Imaging
Differentiable Uncalibrated Imaging
Sidharth Gupta
K. Kothari
Valentin Debarnot
Ivan Dokmanić
MedIm
19
4
0
18 Nov 2022
DeepVoxNet2: Yet another CNN framework
DeepVoxNet2: Yet another CNN framework
J. Bertels
D. Robben
Robin Lemmens
Dirk Vandermeulen
11
2
0
17 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
A. Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
I. Hacihaliloglu
Dorit Merhof
DiffM
MedIm
35
354
0
14 Nov 2022
Learning from partially labeled data for multi-organ and tumor
  segmentation
Learning from partially labeled data for multi-organ and tumor segmentation
Yutong Xie
Jianpeng Zhang
Yong-quan Xia
Chunhua Shen
MedIm
ViT
28
18
0
13 Nov 2022
Generative Adversarial Networks for Weakly Supervised Generation and
  Evaluation of Brain Tumor Segmentations on MR Images
Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images
Jayeon Yoo
Khashayar Namdar
Matthias W. Wagner
L. Nobre
U. Tabori
C. Hawkins
B. Ertl-Wagner
Farzad Khalvati
GAN
MedIm
13
0
0
10 Nov 2022
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
20
0
0
09 Nov 2022
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