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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
All Sizes Matter: Improving Volumetric Brain Segmentation on Small
  Lesions
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions
Ayhan Can Erdur
Daniel Scholz
Josef A. Buchner
Stephanie E. Combs
Daniel Rueckert
J. Peeken
28
2
0
04 Oct 2023
Fetal-BET: Brain Extraction Tool for Fetal MRI
Fetal-BET: Brain Extraction Tool for Fetal MRI
Razieh Faghihpirayesh
Davood Karimi
Deniz Erdoğmuş
Ali Gholipour
57
4
0
02 Oct 2023
Self-distilled Masked Attention guided masked image modeling with noise
  Regularized Teacher (SMART) for medical image analysis
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis
Jue Jiang
Aneesh Rangnekar
Chloe Choi
Harini Veeraraghavan
MedIm
72
0
0
02 Oct 2023
AiAReSeg: Catheter Detection and Segmentation in Interventional
  Ultrasound using Transformers
AiAReSeg: Catheter Detection and Segmentation in Interventional Ultrasound using Transformers
Alex Ranne
Yordanka Velikova
Nassir Navab
F. R. Y. Baena
MedIm
49
3
0
25 Sep 2023
Generalized Dice Focal Loss trained 3D Residual UNet for Automated
  Lesion Segmentation in Whole-Body FDG PET/CT Images
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT Images
Shadab Ahamed
Arman Rahmim
3DPCMedIm
47
2
0
24 Sep 2023
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for
  Mild Traumatic Brain Injury Diagnosis
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis
Hanem Ellethy
Viktor Vegh
Shekhar S. Chandra
45
4
0
22 Sep 2023
AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net
AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net
Matthias Hadlich
Zdravko Marinov
Rainer Stiefelhagen
53
2
0
21 Sep 2023
Comprehensive analysis of synthetic learning applied to neonatal brain
  MRI segmentation
Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation
R. Valabregue
F. Girka
A. Pron
F. Rousseau
G. Auzias
88
7
0
11 Sep 2023
Open and reusable deep learning for pathology with WSInfer and QuPath
Open and reusable deep learning for pathology with WSInfer and QuPath
Jakub R. Kaczmarzyk
Alan O'Callaghan
Fiona Inglis
Tahsin M. Kurc
Rajarsi R. Gupta
Erich Bremer
Peter Bankhead
Joel H. Saltz
MedIm
21
16
0
08 Sep 2023
Reframing the Brain Age Prediction Problem to a More Interpretable and
  Quantitative Approach
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach
Neha Gianchandani
Mahsa Dibaji
M. Bento
Ethan MacDonald
Roberto Souza
FAttMedIm
77
0
0
23 Aug 2023
Anisotropic Hybrid Networks for liver tumor segmentation with
  uncertainty quantification
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification
Benjamin Lambert
P. Roca
Florence Forbes
Senan Doyle
M. Dojat
33
6
0
23 Aug 2023
Can ultrasound confidence maps predict sonographers' labeling
  variability?
Can ultrasound confidence maps predict sonographers' labeling variability?
Vanessa Gonzalez Duque
Leonhard Zirus
Yordanka Velikova
Nassir Navab
Diana Mateus
104
0
0
18 Aug 2023
Prediction of post-radiotherapy recurrence volumes in head and neck
  squamous cell carcinoma using 3D U-Net segmentation
Prediction of post-radiotherapy recurrence volumes in head and neck squamous cell carcinoma using 3D U-Net segmentation
Denis Kutnár
I. Vogelius
K. Håkansson
Jens Petersen
J. Friborg
L. Specht
M. Bernsdorf
A. Gothelf
C. Kristensen
Abraham George Smith
37
0
0
16 Aug 2023
The minimal computational substrate of fluid intelligence
The minimal computational substrate of fluid intelligence
Amy Nelson
J. Mole
Guilherme Pombo
Robert J. Gray
James K. Ruffle
E. Chan
Geraint Rees
L. Cipolotti
P. Nachev
60
0
0
14 Aug 2023
ConDistFL: Conditional Distillation for Federated Learning from
  Partially Annotated Data
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
Pochuan Wang
Chen Shen
Weichung Wang
M. Oda
C. Fuh
Kensaku Mori
H. Roth
FedML
29
5
0
08 Aug 2023
Multi-layer Aggregation as a key to feature-based OOD detection
Multi-layer Aggregation as a key to feature-based OOD detection
Benjamin Lambert
Florence Forbes
Senan Doyle
M. Dojat
63
6
0
28 Jul 2023
TriadNet: Sampling-free predictive intervals for lesional volume in 3D
  brain MR images
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images
Benjamin Lambert
Florence Forbes
Senan Doyle
M. Dojat
MedIm
67
4
0
28 Jul 2023
Generative AI for Medical Imaging: extending the MONAI Framework
Generative AI for Medical Imaging: extending the MONAI Framework
W. H. Pinaya
M. Graham
E. Kerfoot
Petru-Daniel Tudosiu
J. Dafflon
...
Andrew Feng
Marc Modat
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
SyDaMedIm
98
71
0
27 Jul 2023
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution
  Detection in Medical Images
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images
Sergio Naval Marimont
Vasilis Siomos
G. Tarroni
49
1
0
27 Jul 2023
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical
  Image Segmentation
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation
Han Liu
Hao Li
Xing Yao
Yubo Fan
Dewei Hu
Benoit M. Dawant
V. Nath
Zhoubing Xu
I. Oguz
VLM
75
10
0
22 Jul 2023
AnyStar: Domain randomized universal star-convex 3D instance
  segmentation
AnyStar: Domain randomized universal star-convex 3D instance segmentation
Neel Dey
S. M. Abulnaga
Benjamin Billot
Esra Abaci Turk
P. E. Grant
Adrian Dalca
Polina Golland
MedIm
88
14
0
13 Jul 2023
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected
  Areas from Chest X-ray images
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images
Yishan Zhong
Mengqiu Xu
Kongming Liang
Kaixin Chen
Ming Wu
63
20
0
08 Jul 2023
Unsupervised 3D out-of-distribution detection with latent diffusion
  models
Unsupervised 3D out-of-distribution detection with latent diffusion models
M. Graham
W. H. Pinaya
P. Wright
Petru-Daniel Tudosiu
Y. Mah
...
H. Jäger
D. Werring
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffMMedIm
82
11
0
07 Jul 2023
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to
  Improve Segmentation Performance
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance
Jiayu Huo
Yang Liu
Xiaoyun Ouyang
Alejandro Granados
Sebastien Ourselin
Rachel Sparks
80
4
0
02 Jul 2023
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced
  Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging
R. Kalantar
S. Curcean
J. Winfield
Gigin Lin
C. Messiou
M. Blackledge
D. Koh
MedIm
59
3
0
19 Jun 2023
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency
  and Representation
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation
Yu Zhou
Justin Sonneck
Sweta Banerjee
Stefanie Dorr
Anika Gruneboom
Kristina Lorenz
Jianxu Chen
MedIm
60
3
0
09 Jun 2023
PulseNet: Deep Learning ECG-signal classification using random
  augmentation policy and continous wavelet transform for canines
PulseNet: Deep Learning ECG-signal classification using random augmentation policy and continous wavelet transform for canines
Andre Dourson
R. Santilli
F. Marchesotti
Jennifer Schneiderman
Oliver Roman Stiel
...
Michael Fitzke
Norbert Sithirangathan
Emil Walleser
Xiaoli Qiao
Mark Parkinson
58
1
0
17 May 2023
Raidionics: an open software for pre- and postoperative central nervous
  system tumor segmentation and standardized reporting
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting
D. Bouget
Demah Alsinan
V. Gaitan
Ragnhild Holden Helland
André Pedersen
O. Solheim
Ingerid Reinertsen
74
9
0
28 Apr 2023
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using
  Comprehensive Supervisions and Self-training
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training
Han Liu
Zhoubing Xu
Riqiang Gao
Hao Li
Jiadong Wang
G. Chabin
I. Oguz
Sasa Grbic
103
17
0
27 Apr 2023
Learning Task-Specific Strategies for Accelerated MRI
Learning Task-Specific Strategies for Accelerated MRI
Zihui Wu
Tianwei Yin
Yu Sun
R. Frost
A. Kouwe
Adrian Dalca
Katherine Bouman
60
4
0
25 Apr 2023
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
Yihao Liu
Jiaming Zhang
Zhangcong She
Amir Kheradmand
Mehran Armand
VLM
109
41
0
12 Apr 2023
Slideflow: Deep Learning for Digital Histopathology with Real-Time
  Whole-Slide Visualization
Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization
J. Dolezal
S. Kochanny
E. Dyer
Andrew Srisuwananukorn
Matteo Sacco
Frederick M. Howard
Anran Li
Prajval Mohan
Alexander T. Pearson
MedIm
108
28
0
09 Apr 2023
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask
  Generation
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
Kun Han
Yifeng Xiong
Chenyu You
Pooya Khosravi
Shanlin Sun
Xiangyi Yan
James Duncan
Xiaohui Xie
MedImDiffM
85
22
0
08 Apr 2023
Domain Generalization with Adversarial Intensity Attack for Medical
  Image Segmentation
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation
Zheyu Zhang
Bin Wang
Lanhong Yao
Ugur Demir
Debesh Jha
I. Turkbey
Boqing Gong
Ulas Bagci
AAMLMedImOOD
81
11
0
05 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
54
1
0
04 Apr 2023
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
Yi Lin
Xiao Fang
Dong Zhang
Kwang-Ting Cheng
Hao Chen
MedIm
230
4
0
23 Mar 2023
Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved
  Accuracy Validation of Cortical Surface Analyses
Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses
Jiacheng Wang
Kathleen E. Larson
I. Oguz
MedIm
84
0
0
10 Mar 2023
Generative AI for Rapid Diffusion MRI with Improved Image Quality,
  Reliability and Generalizability
Generative AI for Rapid Diffusion MRI with Improved Image Quality, Reliability and Generalizability
Amir Sadikov
Xinlei Pan
Hannah L Choi
Lanya T. Cai
P. Mukherjee
DiffMMedIm
51
2
0
10 Mar 2023
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by
  Emphasizing Low-level Features and Decorrelating Features
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features
Jiesi Hu
Yanwu Yang
Xutao Guo
Tingxia Ma
48
3
0
28 Feb 2023
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI
  Re-Identification
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification
Lemuel Puglisi
F. Barkhof
Daniel C. Alexander
Geoffrey J. M. Parker
Arman Eshaghi
D. Ravì
49
1
0
25 Feb 2023
A Deep Learning-Based and Fully Automated Pipeline for Regurgitant
  Mitral Valve Anatomy Analysis from 3D Echocardiography
A Deep Learning-Based and Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis from 3D Echocardiography
Riccardo Munafò
S. Saitta
G. Ingallina
P. Denti
F. Maisano
E. Agricola
A. Redaelli
E. Votta
31
0
0
21 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
85
26
0
14 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
55
9
0
08 Feb 2023
SegViz: A federated-learning based framework for multi-organ
  segmentation on heterogeneous data sets with partial annotations
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations
Adway U. Kanhere
Pranav Kulkarni
Paul H. Yi
V. Parekh
FedML
52
1
0
17 Jan 2023
An overview of open source Deep Learning-based libraries for
  Neuroscience
An overview of open source Deep Learning-based libraries for Neuroscience
Louis Fabrice Tshimanga
Manfredo Atzori
Federico Del Pup
M. Corbetta
OOD
50
5
0
19 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-Hsuan Yang
Fahad Shahbaz Khan
MedIm
132
159
0
08 Dec 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
42
2
0
25 Nov 2022
NVIDIA FLARE: Federated Learning from Simulation to Real-World
NVIDIA FLARE: Federated Learning from Simulation to Real-World
H. Roth
Yan Cheng
Yuhong Wen
Isaac Yang
Ziyue Xu
...
Daguang Xu
Nic Ma
Prerna Dogra
Mona G. Flores
Andrew Feng
FedMLAI4CE
97
101
0
24 Oct 2022
medigan: a Python library of pretrained generative models for medical
  image synthesis
medigan: a Python library of pretrained generative models for medical image synthesis
Richard Osuala
Grzegorz Skorupko
Noussair Lazrak
Lidia Garrucho
E. García
...
Michael Rutherford
Fred Prior
Kaisar Kushibar
Oliver Díaz
Karim Lekadir
LM&MAMedIm
71
23
0
28 Sep 2022
Prototypical few-shot segmentation for cross-institution male pelvic
  structures with spatial registration
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
Yiwen Li
Yunguan Fu
Iani J. M. B. Gayo
Qianye Yang
Zhe Min
...
Matthew J. Clarkson
Henkjan J. Huisman
D. Barratt
V. Prisacariu
Yipeng Hu
70
19
0
12 Sep 2022
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