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MONAI: An open-source framework for deep learning in healthcare

MONAI: An open-source framework for deep learning in healthcare

4 November 2022
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
Yiheng Wang
Benjamin Murrey
Andriy Myronenko
Can Zhao
Dong Yang
V. Nath
Yufan He
Ziyue Xu
Ali Hatamizadeh
Andriy Myronenko
Wenjie Zhu
Yun-Hui Liu
Mingxin Zheng
Yucheng Tang
Isaac Yang
Michael Zephyr
Behrooz Hashemian
Sachidanand Alle
Mohammad Zalbagi Darestani
Charlie Budd
Marc Modat
Tom Vercauteren
Guotai Wang
Yiwen Li
Yipeng Hu
Yunguan Fu
Benjamin L. Gorman
Hans J. Johnson
Brad W. Genereaux
B. S. Erdal
Vikash Gupta
A. Diaz-Pinto
Andre Dourson
Lena Maier-Hein
Paul F. Jaeger
Michael Baumgartner
Jayashree Kalpathy-Cramer
Mona G. Flores
J. Kirby
L. Cooper
H. Roth
Daguang Xu
David Bericat
R. Floca
S. Kevin Zhou
Haris Shuaib
Keyvan Farahani
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
ArXiv (abs)PDFHTML

Papers citing "MONAI: An open-source framework for deep learning in healthcare"

50 / 203 papers shown
Title
One registration is worth two segmentations
One registration is worth two segmentations
Shiqi Huang
Tingfa Xu
Ziyi Shen
Shaheer U. Saeed
Wen Yan
D. Barratt
Yipeng Hu
57
2
0
17 May 2024
Real-World Federated Learning in Radiology: Hurdles to overcome and
  Benefits to gain
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
Markus R. Bujotzek
Unal Akunal
Stefan Denner
Peter Neher
M. Zenk
...
Jens Kleesiek
Tobias Penzkofer
Klaus H. Maier-Hein
R. Braren
Andreas Bucher
AI4CE
83
2
0
15 May 2024
Automated classification of multi-parametric body MRI series
Automated classification of multi-parametric body MRI series
Boah Kim
T. Mathai
Kimberly Helm
Ronald M. Summers
44
2
0
14 May 2024
Incorporating Anatomical Awareness for Enhanced Generalizability and
  Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis
  Detection
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection
Felix J. Dorfner
J. Vahldiek
Leonhard Donle
Andrei Zhukov
Lina Xu
...
T. Diekhoff
M. Torgutalp
Lisa Christine Adams
Denis Poddubnyy
Keno K. Bressem
AI4CE
117
1
0
12 May 2024
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
F. I. Tushar
Avivah Wang
Lavsen Dahal
Michael R. Harowicz
Kyle J. Lafata
Tina D. Tailor
Joseph Y. Lo
92
4
0
07 May 2024
Functional Imaging Constrained Diffusion for Brain PET Synthesis from
  Structural MRI
Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI
Minhui Yu
Mengqi Wu
Ling Yue
Andrea Bozoki
Mingxia Liu
DiffMMedIm
74
1
0
03 May 2024
Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA
  Segmentation
Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA Segmentation
Xinrun Chen
Mei Shen
Haojian Ning
Mengzhan Zhang
Chengliang Wang
Shiying Li
67
1
0
28 Apr 2024
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image
  Segmentation
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
Nada Saadi
Numan Saeed
Mohammad Yaqub
Karthik Nandakumar
MedIm
80
0
0
21 Apr 2024
Automatic Cranial Defect Reconstruction with Self-Supervised Deep
  Deformable Masked Autoencoders
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
Marek Wodzinski
D. Hemmerling
Mateusz Daniol
49
3
0
19 Apr 2024
Label merge-and-split: A graph-colouring approach for memory-efficient
  brain parcellation
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation
Aaron Kujawa
Reuben Dorent
Sebastien Ourselin
Tom Vercauteren
VLM
136
0
0
16 Apr 2024
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin
  Lymphoma Patients Using a Longitudinally-Aware Segmentation Network
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network
Xin Tie
Muheon Shin
Changhee Lee
Scott B. Perlman
Zachary Huemann
...
K. McCarten
Adina L. Alazraki
Junjie Hu
Steve Y. Cho
Tyler Bradshaw
126
1
0
12 Apr 2024
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance
  Volumetric Medical Image Segmentation
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation
Yousef Sadegheih
Afshin Bozorgpour
Pratibha Kumari
Reza Azad
Dorit Merhof
91
4
0
07 Apr 2024
Investigation of Energy-efficient AI Model Architectures and Compression
  Techniques for "Green" Fetal Brain Segmentation
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
Szymon Mazurek
M. Pytlarz
Sylwia Malec
A. Crimi
106
0
0
03 Apr 2024
FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with
  Conditional Diffusion Model
FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model
Molin Zhang
Polina Golland
P. E. Grant
E. Adalsteinsson
MedIm
47
0
0
29 Mar 2024
Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images
  with Deep Learning -- A Review
Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review
Mohammadreza Amirian
Daniel Barco
Ivo Herzig
Frank-Peter Schilling
MedIm
63
6
0
27 Mar 2024
Instantaneous Visual Analysis of Blood Flow in Stenoses Using
  Morphological Similarity
Instantaneous Visual Analysis of Blood Flow in Stenoses Using Morphological Similarity
P. Eulzer
K. Richter
A. Hundertmark
Ralph Wickenhöfer
Carsten Klingner
K. Lawonn
18
0
0
25 Mar 2024
SYNCS: Synthetic Data and Contrastive Self-Supervised Training for
  Central Sulcus Segmentation
SYNCS: Synthetic Data and Contrastive Self-Supervised Training for Central Sulcus Segmentation
Vladyslav Zalevskyi
Kristoffer Hougaard Madsen
71
0
0
22 Mar 2024
CathFlow: Self-Supervised Segmentation of Catheters in Interventional
  Ultrasound Using Optical Flow and Transformers
CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
Alex Ranne
Liming Kuang
Yordanka Velikova
Nassir Navab
F. R. Y. Baena
OOD
81
1
0
21 Mar 2024
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor
  Segmentation
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation
Z. A. Yazici
Ilkay Oksuz
H. K. Ekenel
72
1
0
15 Mar 2024
Iterative Learning for Joint Image Denoising and Motion Artifact
  Correction of 3D Brain MRI
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI
Lintao Zhang
Mengqi Wu
Lihong Wang
David C. Steffens
G. Potter
Mingxia Liu
MedIm
48
0
0
13 Mar 2024
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
Theodore Barfoot
Luis C. Garcia-Peraza-Herrera
Ben Glocker
Tom Vercauteren
UQCV
114
4
0
11 Mar 2024
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for
  Brain MRI
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
Peirong Liu
Oula Puonti
Annabel Sorby-Adams
W. T. Kimberly
Juan Eugenio Iglesias
73
5
0
10 Mar 2024
Semi-weakly-supervised neural network training for medical image
  registration
Semi-weakly-supervised neural network training for medical image registration
Yiwen Li
Yunguan Fu
Iani J. M. B. Gayo
Qianye Yang
Zhe Min
...
M. Emberton
Matthew J. Clarkson
D. Barratt
V. Prisacariu
Yipeng Hu
43
1
0
16 Feb 2024
Automated Classification of Body MRI Sequence Type Using Convolutional
  Neural Networks
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
Kimberly Helm
T. Mathai
Boah Kim
Pritam Mukherjee
Jianfei Liu
Ronald M. Summers
30
6
0
12 Feb 2024
Copycats: the many lives of a publicly available medical imaging dataset
Copycats: the many lives of a publicly available medical imaging dataset
Amelia Jiménez-Sánchez
Natalia-Rozalia Avlona
Dovile Juodelyte
Théo Sourget
Caroline Vang-Larsen
Anna Rogers
Hubert Dariusz Zajkac
Veronika Cheplygina
107
2
0
09 Feb 2024
3D Volumetric Super-Resolution in Radiology Using 3D RRDB-GAN
3D Volumetric Super-Resolution in Radiology Using 3D RRDB-GAN
Juhyung Ha
Nian Wang
Surendra Maharjan
Xuhong Zhang
MedIm
30
4
0
06 Feb 2024
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning
  Models for Thoracic Anatomical Segmentation
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation
Arash Harirpoush
Amir Rasoulian
Marta Kersten-Oertel
Yiming Xiao
3DV
45
0
0
05 Feb 2024
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location
  on MRI
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
Han Gu
R. Colglazier
Haoyu Dong
Jikai Zhang
Yaqian Chen
...
Jisoo Lee
Brandon Ramirez
Darui Lu
Jay M. Levin
Maciej A. Mazurowski
86
13
0
23 Jan 2024
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease
  Progression from Longitudinal OCTs
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
T. Emre
A. Chakravarty
Antoine Rivail
Dmitrii Lachinov
Oliver Leingang
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
69
3
0
28 Dec 2023
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Qiaoyu Zheng
Weike Zhao
Chaoyi Wu
Xiaoman Zhang
Lisong Dai
Hengyu Guan
Yuehua Li
Ya Zhang
Yanfeng Wang
Weidi Xie
LM&MAMedIm
116
10
0
26 Dec 2023
RadEdit: stress-testing biomedical vision models via diffusion image
  editing
RadEdit: stress-testing biomedical vision models via diffusion image editing
Fernando Pérez-García
Sam Bond-Taylor
Pedro P. Sanchez
B. V. Breugel
Daniel Coelho De Castro
...
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
Maximilian Ilse
MedIm
120
11
0
20 Dec 2023
From Whole-slide Image to Biomarker Prediction: A Protocol for
  End-to-End Deep Learning in Computational Pathology
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology
Omar S. M. El Nahhas
M. Treeck
Georg Wolflein
Michaela Unger
M. Ligero
...
K. J. Hewitt
Firas Khader
S. Foersch
Daniel Truhn
Jakob Nikolas Kather
73
7
0
18 Dec 2023
High-Resolution Maps of Left Atrial Displacements and Strains Estimated
  with 3D CINE MRI and Unsupervised Neural Networks
High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks
C. Galazis
Samuel Shepperd
Emma Brouwer
Sandro Queirós
E. Alskaf
M. Anjari
A. Chiribiri
Jack Lee
Anil A. Bharath
Marta Varela
71
0
0
14 Dec 2023
Panoptica -- instance-wise evaluation of 3D semantic and instance
  segmentation maps
Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps
Florian Kofler
Hendrik Möller
Josef A. Buchner
Ezequiel de la Rosa
Ivan Ezhov
...
Stefan K. Ehrlich
Annika Reinke
Bjoern Menze
Benedikt Wiestler
Marie Piraud
ISeg
65
7
0
05 Dec 2023
Brain-ID: Learning Contrast-agnostic Anatomical Representations for
  Brain Imaging
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
Peirong Liu
Oula Puonti
Xiaoling Hu
Daniel C. Alexander
Juan Eugenio Iglesias
MedImOOD
76
7
0
28 Nov 2023
Seeing Beyond Cancer: Multi-Institutional Validation of Object
  Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI
Arda Pekis
Vignesh Kannan
Evandros Kaklamanos
Anu Antony
Snehal Patel
Tyler Earnest
57
6
0
27 Nov 2023
RAISE -- Radiology AI Safety, an End-to-end lifecycle approach
RAISE -- Radiology AI Safety, an End-to-end lifecycle approach
M. Jorge Cardoso
Julia Moosbauer
Tessa S. Cook
B. S. Erdal
Brad W. Genereaux
...
Elanchezhian Somasundaram
Ronald M. Summers
Khaled Younis
Sebastien Ourselin
Franz MJ Pfister
68
1
0
24 Nov 2023
Sliding Window FastEdit: A Framework for Lesion Annotation in Whole-body
  PET Images
Sliding Window FastEdit: A Framework for Lesion Annotation in Whole-body PET Images
Matthias Hadlich
Zdravko Marinov
Moon S. Kim
Enrico Nasca
Jens Kleesiek
Rainer Stiefelhagen
MedIm
70
3
0
24 Nov 2023
Deep Learning for Vascular Segmentation and Applications in Phase
  Contrast Tomography Imaging
Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
Ekin Yagis
S. Aslani
Yashvardhan Jain
Yang Zhou
Shahrokh Rahmani
...
M. Ackermann
D. Jonigk
Paul Tafforeau
Peter D Lee
Claire L. Walsh
75
4
0
22 Nov 2023
GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for
  Automated Segmentation of Mobility Infrastructure
GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for Automated Segmentation of Mobility Infrastructure
Rafi Ibn Sultan
Chengyin Li
Hui Zhu
Prashant Khanduri
Marco Brocanelli
Dongxiao Zhu
VLM
57
3
0
19 Nov 2023
Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards
  Fully Automated Radiation Oncology Treatments
Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments
Kuancheng Wang
Hai Siong Tan
R. Mcbeth
56
2
0
11 Nov 2023
Predicting Age from White Matter Diffusivity with Residual Learning
Predicting Age from White Matter Diffusivity with Residual Learning
Chenyu Gao
Michael E. Kim
Ho Hin Lee
Qi Yang
N. Khairi
...
Katherine D. Van Schaik
Kurt G. Schilling
Daniel Moyer
Ivana Isgum
Bennett A. Landman
MedIm
57
2
0
06 Nov 2023
Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D
  ResUNet: Contribution to the SEG.A Challenge
Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge
Marek Wodzinski
Henning Muller
MedIm
48
3
0
24 Oct 2023
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided
  Diffusion Model
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
Zheyu Zhang
Lanhong Yao
Bin Wang
Debesh Jha
Elif Keles
Alpay Medetalibeyoglu
Ulas Bagci
MedIm
80
15
0
19 Oct 2023
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for
  Kidney Segmentation and Registration Research
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research
William Ndzimbong
Cyril Fourniol
Loic Themyr
Nicolas Thome
Yvonne Keeza
...
J. Marescaux
Daniel George
Didier Mutter
Alexandre Hostettler
Toby Collins
43
0
0
19 Oct 2023
Studying the Effects of Sex-related Differences on Brain Age Prediction
  using brain MR Imaging
Studying the Effects of Sex-related Differences on Brain Age Prediction using brain MR Imaging
Mahsa Dibaji
Neha Gianchandani
Akhil Nair
Mansi Singhal
Roberto Souza
Mariana P. Bento
30
3
0
17 Oct 2023
A voxel-level approach to brain age prediction: A method to assess
  regional brain aging
A voxel-level approach to brain age prediction: A method to assess regional brain aging
Neha Gianchandani
Mahsa Dibaji
Johanna Ospel
Fernando Vega Higuera
Mariana P. Bento
M. E. MacDonald
Roberto Souza
25
2
0
17 Oct 2023
SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation
SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation
Xinrun Chen
Chengliang Wang
Haojian Ning
Shiying Li
Mei Shen
75
7
0
11 Oct 2023
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
Prantik Deb
Lalith Bharadwaj Baru
Kamalaker Dadi
Bapi Raju
58
4
0
10 Oct 2023
A Simple and Robust Framework for Cross-Modality Medical Image
  Segmentation applied to Vision Transformers
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers
Matteo Bastico
David Ryckelynck
Laurent Corté
Yannick Tillier
Etienne Decencière
MedImViT
64
2
0
09 Oct 2023
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