ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.02701
  4. Cited By
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
C. Budd
Marc Modat
Tom Kamiel Magda 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
ArXivPDFHTML

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

50 / 193 papers shown
Title
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 J. Bradshaw
26
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
55
3
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
31
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
35
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
19
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
11
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
16
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
26
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
18
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
21
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. García-Peraza-Herrera
Ben Glocker
Tom Vercauteren
UQCV
43
3
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
O. Puonti
Annabel Sorby-Adams
W. T. Kimberly
Juan Eugenio Iglesias
29
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
6
0
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
21
5
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
V. Cheplygina
27
0
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
19
3
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
6
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 Mazurowski
40
8
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
27
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-Qin Zhang
Yanfeng Wang
Weidi Xie
LM&MA
MedIm
32
5
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
43
8
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
14
6
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
30
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 H. Menze
Benedikt Wiestler
Marie Piraud
ISeg
22
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
O. Puonti
Xiaoling Hu
Daniel C. Alexander
Juan Eugenio Iglesias
MedIm
OOD
34
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
21
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
22
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
32
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
37
4
0
22 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
17
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
K. Schilling
Daniel Moyer
Ivana Isgum
Bennett A. Landman
MedIm
20
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
20
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
A. Medetalibeyoğlu
Ulas Bagci
MedIm
40
10
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
21
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
15
2
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
11
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
28
5
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
14
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
MedIm
ViT
34
2
0
09 Oct 2023
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
11
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
20
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 Min Seo Choi
H. Veeraraghavan
MedIm
16
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
31
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
3DPC
MedIm
8
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
20
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
12
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
34
6
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
6
13
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
FAtt
MedIm
21
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
11
5
0
23 Aug 2023
Previous
1234
Next