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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
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
R. Dorent
Erick Torio
Nazim Haouchine
Colin Galvin
Sarah F. Frisken
A. Golby
Tina Kapur
William M. Wells
25
4
0
16 May 2024
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI
Yiming Che
Fazle Rafsani
Jay Shah
M. R. Siddiquee
Teresa Wu
MedIm
DiffM
62
1
0
24 Apr 2024
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus
  on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
A. Kazerooni
Nastaran Khalili
Xinyang Liu
Deep Gandhi
Zhifan Jiang
...
Spyridon Bakas
Adam C. Resnick
B. Rood
A. Vossough
M. Linguraru
15
5
0
23 Apr 2024
A Multimodal Feature Distillation with CNN-Transformer Network for Brain
  Tumor Segmentation with Incomplete Modalities
A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities
Ming Kang
F. F. Ting
Raphaël C.-W. Phan
Zongyuan Ge
Chee-Ming Ting
35
2
0
22 Apr 2024
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
Anthony Bilic
Chen Chen
OOD
37
0
0
21 Apr 2024
Multi-target and multi-stage liver lesion segmentation and detection in
  multi-phase computed tomography scans
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans
Abdullah F. Al-Battal
S. T. Duong
Van Ha Tang
Quang Duc Tran
S. Q. Truong
Chien Phan
Truong Q. Nguyen
Cheolhong An
MedIm
25
0
0
17 Apr 2024
LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions
  for Brain Tumor Segmentation
LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
Ebtihal J. Alwadee
Xianfang Sun
Yipeng Qin
F. Langbein
19
8
0
09 Apr 2024
Deep Learning-Based Brain Image Segmentation for Automated Tumour
  Detection
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
S. Sourabh
M. Valliappan
Narayana Darapaneni
P. AnweshR
19
0
0
06 Apr 2024
Influence based explainability of brain tumors segmentation in
  multimodal Magnetic Resonance Imaging
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging
Tommaso Torda
Andrea Ciardiello
Simona Gargiulo
Greta Grillo
Simone Scardapane
Cecilia Voena
S. Giagu
19
0
0
05 Apr 2024
Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image
  Translation
Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
Chuan Huang
Jia Wei
Rui Li
MedIm
31
0
0
29 Mar 2024
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image
  Translation
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
Sidi Wu
Yizi Chen
Samuel Mermet
L. Hurni
Konrad Schindler
Nicolas Gonthier
Loic Landrieu
GAN
33
7
0
29 Mar 2024
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
Alicia Durrer
J. Wolleb
Florentin Bieder
Paul Friedrich
L. Melie-García
...
Ozgur Yaldizli
C. Granziera
Bjoern H. Menze
Philippe C. Cattin
Florian Kofler
MedIm
19
6
0
21 Mar 2024
Building Brain Tumor Segmentation Networks with User-Assisted Filter
  Estimation and Selection
Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection
Matheus A. Cerqueira
Flávia Sprenger
B. C. Teixeira
A. X. Falcão
19
10
0
19 Mar 2024
Federated Modality-specific Encoders and Multimodal Anchors for
  Personalized Brain Tumor Segmentation
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
Qian Dai
Dong Wei
Hong Liu
Jinghan Sun
Liansheng Wang
Yefeng Zheng
19
2
0
18 Mar 2024
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for
  Unsupervised Anomaly Detection
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
J. Wolleb
Florentin Bieder
Paul Friedrich
Peter Zhang
Alicia Durrer
P. Cattin
DiffM
MedIm
39
3
0
18 Mar 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised
  Anomaly Detection in Radiography Images
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan L. Yuille
Chaoyi Zhang
Weidong Cai
Zongwei Zhou
31
3
0
13 Mar 2024
Embedded Deployment of Semantic Segmentation in Medicine through
  Low-Resolution Inputs
Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs
Erik Ostrowski
Muhammad Shafique
SSeg
19
0
0
08 Mar 2024
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation
Zhongzhen Huang
Linda Wei
Shaoting Zhang
Xiaofan Zhang
29
0
0
04 Mar 2024
GLFNET: Global-Local (frequency) Filter Networks for efficient medical
  image segmentation
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation
Athanasios Tragakis
Qianying Liu
Chaitanya Kaul
S. K. Roy
Hang Dai
F. Deligianni
Roderick Murray-Smith
Daniele Faccio
MedIm
16
1
0
01 Mar 2024
Denoising Diffusion Models for Inpainting of Healthy Brain Tissue
Denoising Diffusion Models for Inpainting of Healthy Brain Tissue
Alicia Durrer
P. Cattin
J. Wolleb
MedIm
21
4
0
27 Feb 2024
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for
  Medical LVLM
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
Yutao Hu
Tian-Xin Li
Quanfeng Lu
Wenqi Shao
Junjun He
Yu Qiao
Ping Luo
ELM
LM&MA
32
50
0
14 Feb 2024
Treatment-wise Glioblastoma Survival Inference with Multi-parametric
  Preoperative MRI
Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI
Xiaofeng Liu
N. Shusharina
Helen A. Shih
C.-C. Jay Kuo
G. El Fakhri
Jonghye Woo
19
1
0
10 Feb 2024
Densely Decoded Networks with Adaptive Deep Supervision for Medical
  Image Segmentation
Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation
Suraj Mishra
Danny Ziyi Chen
MedIm
23
0
0
05 Feb 2024
Survival and grade of the glioma prediction using transfer learning
Survival and grade of the glioma prediction using transfer learning
Santiago Valbuena Rubio
María Teresa García-Ordás
O. Olivera
H. Alaiz-Moretón
María-Inmaculada Gónzalez-Alonso
J. Benítez-Andrades
17
3
0
04 Feb 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based
  Constraints
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
Balamurali Murugesan
Sukesh Adiga Vasudeva
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
34
5
0
25 Jan 2024
ProCNS: Progressive Prototype Calibration and Noise Suppression for
  Weakly-Supervised Medical Image Segmentation
ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation
Y. Liu
L. Lin
K. Wong
X. Tang
22
2
0
25 Jan 2024
Cross-modality Guidance-aided Multi-modal Learning with Dual Attention
  for MRI Brain Tumor Grading
Cross-modality Guidance-aided Multi-modal Learning with Dual Attention for MRI Brain Tumor Grading
Dunyuan Xu
Xi Wang
Jinyue Cai
Pheng-Ann Heng
20
2
0
17 Jan 2024
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
Jon Middleton
Marko Bauer
Kaining Sheng
Jacob Johansen
Mathias Perslev
Silvia Ingala
Mads Nielsen
A. Pai
28
1
0
12 Jan 2024
Integrating Edges into U-Net Models with Explainable Activation Maps for
  Brain Tumor Segmentation using MR Images
Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images
Subin Sahayam
Umarani Jayaraman
14
1
0
02 Jan 2024
Train-Free Segmentation in MRI with Cubical Persistent Homology
Train-Free Segmentation in MRI with Cubical Persistent Homology
Anton François
Raphael Tinarrage
3DV
28
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Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms,
  and Energy-Based Uncertainty Prediction
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr
Sriman Achanta
26
2
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31 Dec 2023
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
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55
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Predicting Parkinson's disease evolution using deep learning
Predicting Parkinson's disease evolution using deep learning
Maria Frasca
Davide La Torre
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18
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One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
Ziheng Zhao
Yao Zhang
Chaoyi Wu
Xiaoman Zhang
Ya-Qin Zhang
Yanfeng Wang
Weidi Xie
VLM
MedIm
30
37
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Federated Learning via Input-Output Collaborative Distillation
Federated Learning via Input-Output Collaborative Distillation
Xuan Gong
Shanglin Li
Yuxiang Bao
Barry Yao
Yawen Huang
Ziyan Wu
Baochang Zhang
Yefeng Zheng
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How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
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Shen Zhao
Han Gu
Maciej Mazurowski
VLM
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SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume
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Xiangde Luo
Jia Fu
Yunxin Zhong
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Bing Han
...
Mu Zhou
Shichuan Zhang
Wenjun Liao
Guotai Wang
Shaoting Zhang
17
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MRI Scan Synthesis Methods based on Clustering and Pix2Pix
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Giulia Baldini
Melanie Schmidt
Charlotte Zäske
Liliana L. Caldeira
17
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MEDPSeg: Hierarchical polymorphic multitask learning for the
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Jean Ribeiro
A. Comellas
Joseph M. Reinhardt
S. Gerard
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35
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SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20
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Jin Ye
Junlong Cheng
Jianpin Chen
Zhongying Deng
Tian-Xin Li
...
Hui Sun
Min Zhu
Shaoting Zhang
Junjun He
Yu Qiao
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MedIm
24
37
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20 Nov 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in
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A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI
Yuheng Fan
Hanxi Liao
Shiqi Huang
Yimin Luo
Huazhu Fu
Haikun Qi
MedIm
25
18
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Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality
  MRI Segmentation
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation
Bingnan Li
Zhitong Gao
Xuming He
MedIm
OOD
24
2
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Robust semi-supervised segmentation with timestep ensembling diffusion
  models
Robust semi-supervised segmentation with timestep ensembling diffusion models
Margherita Rosnati
Mélanie Roschewitz
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MedIm
DiffM
45
4
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Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers
Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers
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Benjamin Dowdell
Todd Engelder
Zarah Pulmano
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Arko Barman
MedIm
14
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A 3D generative model of pathological multi-modal MR images and
  segmentations
A 3D generative model of pathological multi-modal MR images and segmentations
Virginia Fernandez
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A Two-Stage Generative Model with CycleGAN and Joint Diffusion for
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Zhuoxu Cui
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Xi Xu
Ziwei Liu
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Dong Liang
Yanjie Zhu
MedIm
4
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Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical
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Yifu Zhang
Wenxuan Wang
Chen Chen
Jing Liu
Shanshan Song
Jiangyun Li
MedIm
19
0
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A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework
  for Medical Image Segmentation
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Jiesi Hu
Yanwu Yang
Xutao Guo
Jinghua Wang
Heather Ting Ma
MedIm
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DeepFDR: A Deep Learning-based False Discovery Rate Control Method for
  Neuroimaging Data
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Hai Shu
Qiran Jia
Mony de Leon
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0
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MRI brain tumor segmentation using informative feature vectors and
  kernel dictionary learning
MRI brain tumor segmentation using informative feature vectors and kernel dictionary learning
Seyedeh Mahya Mousavi
Mohammad Mostafavi
11
0
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