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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

25 February 2019
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
Bram van Ginneken
A. Kopp-Schneider
Bennett A. Landman
G. Litjens
Bjoern H. Menze
Olaf Ronneberger
Ronald M. Summers
Patrick Bilic
P. Christ
Richard K G Do
M. Gollub
Jennifer S. Goli Pernicka
S. Heckers
William R. Jarnagin
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
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Papers citing "A large annotated medical image dataset for the development and evaluation of segmentation algorithms"

50 / 152 papers shown
Title
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration
Honglong Yang
Shanshan Song
Yi Qin
Lehan Wang
Haonan Wang
Xinpeng Ding
Qixiang Zhang
Bodong Du
Xuelong Li
LM&MA
34
0
0
11 May 2025
Advancing 3D Medical Image Segmentation: Unleashing the Potential of Planarian Neural Networks in Artificial Intelligence
Advancing 3D Medical Image Segmentation: Unleashing the Potential of Planarian Neural Networks in Artificial Intelligence
Ziyuan Huang
Kevin Huggins
Srikar Bellur
3DV
54
0
0
07 May 2025
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
Jun Li
Yujie Zhang
Haibo Shi
Minhong Li
Qiwei Li
Xiaohua Qian
MedIm
41
0
0
03 May 2025
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation
Anzhe Cheng
Chenzhong Yin
Yu Chang
Heng Ping
Shixuan Li
Shahin Nazarian
Paul Bogdan
SSeg
91
0
0
11 Mar 2025
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Behzad Hejrati
Soumyanil Banerjee
C. Glide-Hurst
Ming Dong
DiffM
MedIm
117
0
0
21 Feb 2025
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
Boqian Wu
Q. Xiao
Shiwei Liu
Lu Yin
Mykola Pechenizkiy
Decebal Constantin Mocanu
M. V. Keulen
Elena Mocanu
MedIm
65
4
0
20 Feb 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
64
0
0
11 Feb 2025
Revisiting MAE pre-training for 3D medical image segmentation
Revisiting MAE pre-training for 3D medical image segmentation
Tassilo Wald
Constantin Ulrich
Stanislav Lukyanenko
Andrei Goncharov
Alberto Paderno
Leander Maerkisch
Paul F. Jäger
Paul F. Jäger
Klaus Maier-Hein
50
2
0
30 Oct 2024
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical
  Image Applications
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
Yongrui Yu
Yannian Gu
S. Zhang
Xiaofan Zhang
MedIm
44
2
0
20 Oct 2024
DB-SAM: Delving into High Quality Universal Medical Image Segmentation
DB-SAM: Delving into High Quality Universal Medical Image Segmentation
Chao Qin
Jiale Cao
Huazhu Fu
Fahad Shahbaz Khan
Rao Muhammad Anwer
MedIm
33
5
0
05 Oct 2024
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
A. Jaus
Simon Reiß
Jens Klesiek
Rainer Stiefelhagen
3DPC
23
0
0
20 Sep 2024
Masked Image Modeling: A Survey
Masked Image Modeling: A Survey
Vlad Hondru
Florinel-Alin Croitoru
Shervin Minaee
Radu Tudor Ionescu
N. Sebe
72
6
0
13 Aug 2024
AI Radiologist: Revolutionizing Liver Tissue Segmentation with
  Convolutional Neural Networks and a Clinician-Friendly GUI
AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
MedIm
38
0
0
11 Jun 2024
SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT
  Images with Arbitrary Resolution and Overlap
SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap
Jiayang Shi
D. Pelt
K. Batenburg
24
0
0
03 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
63
5
0
02 May 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
Jiaxin Zhuang
Linshan Wu
Qiong Wang
V. Vardhanabhuti
Lin Luo
Hao Chen
Hao Chen
57
4
0
24 Apr 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
30
0
0
14 Feb 2024
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under
  Distribution Shifts
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts
Masoumeh Javanbakhat
Md Tasnimul Hasan
Cristoph Lippert
UQCV
OOD
26
1
0
10 Feb 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Amin Karimi Monsefi
Payam Karisani
Mengxi Zhou
Stacey S. Choi
Nathan Doble
Heng Ji
Srinivasan Parthasarathy
R. Ramnath
43
5
0
09 Feb 2024
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation
  classification
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification
Daniele Perlo
L. Berton
Alessia Delpiano
Francesca Menchini
S. Tibaldi
M. Grosso
P. Fonio
21
0
0
25 Jan 2024
Feature Extraction for Generative Medical Imaging Evaluation: New
  Evidence Against an Evolving Trend
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend
M. Woodland
Austin Castelo
Mais Al Taie
Jessica Albuquerque Marques Silva
Mohamed Eltaher
...
Austin Castelo
Suprateek Kundu
Joshua P. Yung
Ankit B. Patel
Kristy K. Brock
MedIm
AAML
43
10
0
22 Nov 2023
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
Yuxin Du
Fan Bai
Tiejun Huang
Bo Zhao
VLM
42
38
0
22 Nov 2023
Abdominal multi-organ segmentation in CT using Swinunter
Abdominal multi-organ segmentation in CT using Swinunter
Mingjin Chen
Yongkang He
Yongyi Lu
ViT
OOD
MedIm
21
0
0
28 Sep 2023
SAM3D: Segment Anything Model in Volumetric Medical Images
SAM3D: Segment Anything Model in Volumetric Medical Images
Nhat-Tan Bui
Dinh-Hieu Hoang
Minh-Triet Tran
Gianfranco Doretto
Donald Adjeroh
Brijesh Patel
Arabinda Choudhary
Ngan Le
MedIm
33
39
0
07 Sep 2023
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
John Kalkhof
Anirban Mukhopadhyay
21
10
0
06 Sep 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ
  Segmentation
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Jadie Adams
Shireen Y. Elhabian
UQCV
21
5
0
15 Aug 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine
  Collaborative Normalization
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
Chuyan Zhang
Yuncheng Yang
Hao Zheng
Yun Gu
50
0
0
28 Jul 2023
Towards Unifying Anatomy Segmentation: Automated Generation of a
  Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
A. Jaus
C. Seibold
Kelsey Hermann
Alexandra Walter
K. Giske
Johannes Haubold
Jens Kleesiek
Rainer Stiefelhagen
42
19
0
25 Jul 2023
3D Medical Image Segmentation based on multi-scale MPU-Net
3D Medical Image Segmentation based on multi-scale MPU-Net
Zeqiu Yu
Shuo Han
Ziheng Song
3DV
14
3
0
11 Jul 2023
Modality-Agnostic Learning for Medical Image Segmentation Using
  Multi-modality Self-distillation
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation
Qisheng He
Nicholas Summerfield
Ming Dong
C. Glide-Hurst
27
1
0
06 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
AI4CE
39
30
0
29 May 2023
Segment Anything Model for Medical Image Analysis: an Experimental Study
Segment Anything Model for Medical Image Analysis: an Experimental Study
Maciej Mazurowski
Haoyu Dong
Han Gu
Jichen Yang
N. Konz
Yixin Zhang
MedIm
VLM
48
467
0
20 Apr 2023
Localise to segment: crop to improve organ at risk segmentation accuracy
Localise to segment: crop to improve organ at risk segmentation accuracy
Abraham George Smith
Denis Kutnár
I. Vogelius
S. Darkner
Jens Petersen
SSeg
33
2
0
10 Apr 2023
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain
  Shift
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift
Patrick M. Jensen
Anders B. Dahl
Carsten Gundlach
Rebecca J Engberg
H. Kjer
Vedrana Andersen Dahl
36
1
0
04 Apr 2023
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image
  Arbitrary-Scale Super Resolution
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
Zixuan Chen
Jianhuang Lai
Lingxiao Yang
Xiaohua Xie
MedIm
19
28
0
28 Mar 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
35
6
0
07 Feb 2023
UnICLAM:Contrastive Representation Learning with Adversarial Masking for
  Unified and Interpretable Medical Vision Question Answering
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering
Chenlu Zhan
Peng Peng
Hongsen Wang
Tao Chen
Hongwei Wang
MedIm
23
3
0
21 Dec 2022
Context Label Learning: Improving Background Class Representations in
  Semantic Segmentation
Context Label Learning: Improving Background Class Representations in Semantic Segmentation
Zeju Li
Konstantinos Kamnitsas
Cheng Ouyang
Chen Chen
Ben Glocker
VLM
30
6
0
16 Dec 2022
UNETR++: Delving into Efficient and Accurate 3D Medical Image
  Segmentation
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Abdelrahman M. Shaker
Muhammad Maaz
H. Rasheed
Salman Khan
Ming Yang
Fahad Shahbaz Khan
MedIm
40
131
0
08 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
34
21
0
04 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models
Membership Inference Attacks Against Semantic Segmentation Models
Tomás Chobola
Dmitrii Usynin
Georgios Kaissis
MIACV
32
6
0
02 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
28
267
0
27 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review
Attribution-based XAI Methods in Computer Vision: A Review
Kumar Abhishek
Deeksha Kamath
35
18
0
27 Nov 2022
Open-Source Skull Reconstruction with MONAI
Open-Source Skull Reconstruction with MONAI
Jianning Li
André Ferreira
B. Puladi
Victor Alves
Michael Kamp
Moon S. Kim
F. Nensa
Jens Kleesiek
Seyed-Ahmad Ahmadi
Jan Egger
24
1
0
25 Nov 2022
A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of
  EGFR Mutation Status from CT Scans
A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of EGFR Mutation Status from CT Scans
Ivo Gollini Navarrete
Mohammad Yaqub
26
3
0
12 Nov 2022
Knowledge Distillation from Cross Teaching Teachers for Efficient
  Semi-Supervised Abdominal Organ Segmentation in CT
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CT
Jae Won Choi
29
4
0
11 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
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive
  Biased kernels
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels
Shrajan Bhandary
Z. Babaiee
D. Kostyszyn
T. Fechter
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
40
1
0
28 Oct 2022
How precise are performance estimates for typical medical image
  segmentation tasks?
How precise are performance estimates for typical medical image segmentation tasks?
Rosana El Jurdi
O. Colliot
UQCV
25
6
0
26 Oct 2022
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
Cheng-Fang Peng
S. Kevin Zhou
Ramalingam Chellappa
OOD
64
7
0
11 Oct 2022
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