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
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
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
Xiaoyu Shi
R. Jain
Yinhao Li
Ruibo Hou
Jingliang Cheng
J. Bai
Guohua Zhao
Lanfen Lin
R. Xu
Yen-Wei Chen
12
0
0
20 Jun 2025
Classification of Multi-Parametric Body MRI Series Using Deep Learning
Classification of Multi-Parametric Body MRI Series Using Deep Learning
Boah Kim
T. Mathai
Kimberly Helm
Peter A. Pinto
Ronald M. Summers
15
1
0
18 Jun 2025
Improving Prostate Gland Segmenting Using Transformer based Architectures
Improving Prostate Gland Segmenting Using Transformer based Architectures
Shatha Abudalou
18
0
0
16 Jun 2025
Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
Nicholas Summerfield
Qisheng He
Alex Kuo
Ahmed I. Ghanem
Simeng Zhu
...
Anudeep Kumar
Prashant Nagpal
Jiwei Zhao
Ming Dong
C. Glide-Hurst
112
0
0
12 Jun 2025
Compositional Generalisation for Explainable Hate Speech Detection
Compositional Generalisation for Explainable Hate Speech Detection
Agostina Calabrese
Tom Sherborne
Bjorn Ross
Mirella Lapata
67
0
0
04 Jun 2025
Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning
Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning
Yijun Yang
Zhao-Yang Wang
Qiuping Liu
Shuwen Sun
Kang Wang
...
Zongwei Zhou
Alan Yuille
Lei Zhu
Yu Zhang
Jieneng Chen
21
0
0
02 Jun 2025
CineMA: A Foundation Model for Cine Cardiac MRI
CineMA: A Foundation Model for Cine Cardiac MRI
Yunguan Fu
Weixi Yi
C. Manisty
A. Bhuva
T. Treibel
James C. Moon
Matthew J. Clarkson
R. Davies
Yipeng Hu
VGenMedIm
38
0
0
31 May 2025
Towards Scalable Language-Image Pre-training for 3D Medical Imaging
Towards Scalable Language-Image Pre-training for 3D Medical Imaging
Chenhui Zhao
Yiwei Lyu
Asadur Chowdury
Edward Harake
A. Kondepudi
Akshay Rao
X. Hou
Honglak Lee
Todd C. Hollon
LM&MAMedIm
34
0
0
28 May 2025
TAGS: 3D Tumor-Adaptive Guidance for SAM
TAGS: 3D Tumor-Adaptive Guidance for SAM
Sirui Li
Linkai Peng
Zheyuan Zhang
Gorkem Durak
Ulas Bagci
MedImVLM
206
0
0
21 May 2025
Pretrained hybrid transformer for generalizable cardiac substructures segmentation from contrast and non-contrast CTs in lung and breast cancers
Pretrained hybrid transformer for generalizable cardiac substructures segmentation from contrast and non-contrast CTs in lung and breast cancers
Aneesh Rangnekar
Nikhil Mankuzhy
Jonas Willmann
Chloe Choi
Abraham Wu
M. Thor
A. Rimner
Harini Veeraraghavan
21
0
0
16 May 2025
Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)
Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)
Zhongnan Fang
Andrew Johnston
Lina Cheuy
Hye Sun Na
Magdalini Paschali
...
Derrick Laurel
Andrew Walker Campion
Michael Iv
Akshay S. Chaudhari
David B. Larson
99
0
0
16 May 2025
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
Badhan Kumar Das
Ajay Singh
Gengyan Zhao
Han Liu
Thomas J. Re
Dorin Comaniciu
Eli Gibson
Andreas Maier
ViTMedIm
62
0
0
13 May 2025
ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization
ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization
Chenxi Zhao
Jianqiang Li
Qing Zhao
Jing Bai
S. Boluda
Benoît Delatour
L. Stimmer
Daniel Racoceanu
Gabriel Jimenez
Guanghui Fu
76
0
0
08 May 2025
Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model
Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model
Pengfei Guo
Can Zhao
Dong Yang
Yufan He
V. Nath
...
Zongwei Zhou
Benjamin D. Simon
Stephanie Harmon
Baris Turkbey
Daguang Xu
DiffMMedIm
102
0
0
07 May 2025
Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma
Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma
Lucas Sancéré
Carina Lorenz
Doris Helbig
Oana-Diana Persa
Sonja Dengler
...
Martim Laimer
Anne Fröhlich
Jennifer Landsberg
Johannes Brägelmann
Katarzyna Bozek
72
0
0
07 May 2025
Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement
Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement
Haofan Wu
Yin Huang
Yuqing Wu
Qiuyu Yang
Bingfang Wang
...
Abdul Fattah Memon
Daizong Ji
Yanzhe Zhang
Ghulam Mustafa
Yin Fang
MedIm
80
0
0
03 May 2025
Automated segmenta-on of pediatric neuroblastoma on mul--modal MRI: Results of the SPPIN challenge at MICCAI 2023
Automated segmenta-on of pediatric neuroblastoma on mul--modal MRI: Results of the SPPIN challenge at MICCAI 2023
M.A.D. Buser
D.C. Simons
M. Fitski
M.H.W.A. Wijnen
A.S. Littooij
...
M.R. Aizenberg
B.H.M. van der Velden
H. Kuijf
A. De Luca
A.F.W. van der Steeg
62
0
0
01 May 2025
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities
Lucas Robinet
Ahmad Berjaoui
Elizabeth Cohen-Jonathan Moyal
55
0
0
01 May 2025
Innovative Integration of 4D Cardiovascular Reconstruction and Hologram: A New Visualization Tool for Coronary Artery Bypass Grafting Planning
Innovative Integration of 4D Cardiovascular Reconstruction and Hologram: A New Visualization Tool for Coronary Artery Bypass Grafting Planning
Shuaiqiang Wang
Tong Ren
Nan Cheng
Li Zhang
Rong Wang
55
1
0
28 Apr 2025
Towards a deep learning approach for classifying treatment response in glioblastomas
Towards a deep learning approach for classifying treatment response in glioblastomas
Ana Matoso
Catarina Passarinho
Marta P. Loureiro
José Maria Moreira
Patrícia Figueiredo
Rita G. Nunes
AI4CE
69
0
0
25 Apr 2025
Comprehensive Evaluation of Quantitative Measurements from Automated Deep Segmentations of PSMA PET/CT Images
Comprehensive Evaluation of Quantitative Measurements from Automated Deep Segmentations of PSMA PET/CT Images
Obed Korshie Dzikunu
Amirhossein Toosi
Shadab Ahamed
Sara Harsini
François Bénard
Xiaoxiao Li
Arman Rahmim
49
0
0
22 Apr 2025
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
Ruijie Wang
Luca Rossetto
Susan Mérillat
Christina Röcke
Mike Martin
Abraham Bernstein
DiffMMedIm
175
0
0
15 Apr 2025
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging
Gabriele Lozupone
Alessandro Bria
F. Fontanella
Frederick J.A. Meijer
C. D. Stefano
Henkjan Huisman
DiffMMedIm
70
0
0
11 Apr 2025
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis
Moinak Bhattacharya
Saumya Gupta
Annie Singh
Chong Chen
Gagandeep Singh
Prateek Prasanna
MedIm
144
0
0
06 Apr 2025
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
Niu Lian
Jun Li
Jinpeng Wang
Ruisheng Luo
Yaowei Wang
Shu-Tao Xia
Bin Chen
425
0
0
04 Apr 2025
Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes
Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes
Anna Shopova
Cristoph Lippert
Leslee J. Shaw
Eugenia Alleva
107
0
0
31 Mar 2025
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study
Soumitri Chattopadhyay
Basar Demir
Marc Niethammer
VLM
141
0
0
28 Mar 2025
Downstream Analysis of Foundational Medical Vision Models for Disease Progression
Downstream Analysis of Foundational Medical Vision Models for Disease Progression
Basar Demir
Soumitri Chattopadhyay
Thomas Hastings Greer
Boqi Chen
Marc Niethammer
MedIm
93
0
0
21 Mar 2025
HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation
HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation
Cheng Wang
L. Kong
Massimiliano Tamborski
Stefano V. Albrecht
90
0
0
19 Mar 2025
TGV: Tabular Data-Guided Learning of Visual Cardiac Representations
TGV: Tabular Data-Guided Learning of Visual Cardiac Representations
Marta Hasny
Maxime Di Folco
Keno Bressem
Julia A. Schnabel
116
1
0
19 Mar 2025
Real-time Deformation-aware Control for Autonomous Robotic Subretinal Injection under iOCT Guidance
Real-time Deformation-aware Control for Autonomous Robotic Subretinal Injection under iOCT Guidance
Demir Arikan
Peiyao Zhang
Michael Sommersperger
Shervin Dehghani
Mojtaba Esfandiari
Russel H. Taylor
M. A. Nasseri
Peter L. Gehlbach
Nassir Navab
I. Iordachita
103
3
0
13 Mar 2025
Towards Motion Compensation in Autonomous Robotic Subretinal Injections
Towards Motion Compensation in Autonomous Robotic Subretinal Injections
Demir Arikan
Peiyao Zhang
Michael Sommersperger
Shervin Dehghani
Mojtaba Esfandiari
Russel H. Taylor
M. A. Nasseri
Peter L. Gehlbach
Nassir Navab
I. Iordachita
135
1
0
13 Mar 2025
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation
Daniel Syomichev
Padmini Gopinath
Guang-Lin Wei
Eric Chang
Ian Gordon
Amanuel Seifu
Rahul Pemmaraju
Neehar Peri
James M. Purtilo
69
0
0
12 Mar 2025
Interactive Tumor Progression Modeling via Sketch-Based Image Editing
Gexin Huang
Ruinan Jin
Yucheng Tang
Can Zhao
Tatsuya Harada
Xiaoxiao Li
Gu Lin
MedIm
88
2
0
10 Mar 2025
TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy
Juan Miguel Valverde
Motoya Koga
Nijihiko Otsuka
Anders Bjorholm Dahl
86
0
0
05 Mar 2025
Open-source framework for detecting bias and overfitting for large pathology images
Anders Sildnes
N. Shvetsov
M. Tafavvoghi
Vi Ngoc-Nha Tran
Kajsa Møllersen
Lill-ToveRasmussen Busund
Thomas K. Kilvær
L. A. Bongo
VLM
108
0
0
03 Mar 2025
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography
Jacopo Teneggi
J. W. Stayman
Jeremias Sulam
112
1
0
28 Feb 2025
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
Anyimadu Daniel Tweneboah
Suleiman Taofik Ahmed
Hossain Mohammad Imran
107
0
0
26 Feb 2025
Subclass Classification of Gliomas Using MRI Fusion Technique
Subclass Classification of Gliomas Using MRI Fusion Technique
Kiranmayee Janardhan
Christy Bobby Thomas
98
0
0
26 Feb 2025
Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI
Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI
Georgii Kolokolnikov
Marie-Lena Schmalhofer
Lennart Well
Said Farschtschi
Victor-Felix Mautner
Inka Ristow
Rene Werner
AI4CE
77
0
0
24 Feb 2025
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
Muhammad Imran
J. Krebs
Vishal Balaji Sivaraman
Teng Zhang
Amarjeet Kumar
...
Gilbert R. Upchurch Jr.
Jun Ma
Yuyin Zhou
M. Cooper
Wei Shao
99
1
0
07 Feb 2025
Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices
Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices
Lianrui Zuo
Xin Yu
Dingjie Su
Kaiwen Xu
Aravind Krishnan
Yihao Liu
Shunxing Bao
Fabien Maldonado
Luigi Ferrucci
Bennett A. Landman
143
0
0
22 Jan 2025
Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models
Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models
Lianrui Zuo
Kaiwen Xu
Dingjie Su
Xin Yu
Aravind Krishnan
...
Shunxing Bao
Thomas Z. Li
K. Sandler
Fabien Maldonado
Bennett A. Landman
DiffMMedIm
117
0
0
22 Jan 2025
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks
Subin Erattakulangara
Karthika Kelat
Katie Burnham
Rachel Balbi
Sarah E. Gerard
David Meyer
Sajan Goud Lingala
115
1
0
08 Jan 2025
MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface
  Reconstruction
MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction
Yu Deng
Yiyang Xu
Linglong Qian
C. Mauger
Anastasia Nasopoulou
...
D. Newby
Andrew McCulloch
Jeff Omens
Kuberan Pushprajah
Alistair Young
122
0
0
14 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in
  real-world medical applications
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
Francesco Cremonesi
Lucia Innocenti
Sebastien Ourselin
Vicky Goh
Michela Antonelli
Marco Lorenzi
FedML
147
0
0
09 Dec 2024
Deep Learning for Longitudinal Gross Tumor Volume Segmentation in
  MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer
Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer
Xin Tie
Weijie Chen
Zachary Huemann
Brayden Schott
Nuohao Liu
Tyler Bradshaw
88
1
0
01 Dec 2024
Multi-resolution Guided 3D GANs for Medical Image Translation
Multi-resolution Guided 3D GANs for Medical Image Translation
Juhyung Ha
Jong Sung Park
David Crandall
Eleftherios Garyfallidis
Xuhong Zhang
MedIm
114
0
0
30 Nov 2024
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D
  Medical Images with DINOv2
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
Gustav Muller-Franzes
Firas Khader
R. Siepmann
T. Han
Jakob Nikolas Kather
S. Nebelung
Daniel Truhn
MedIm
165
1
0
24 Nov 2024
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation
  with Modality-Conditioned Text Embedding and Alternating Training
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training
Chengyin Li
Hui Zhu
Rafi Ibn Sultan
H. Bagher-Ebadian
Prashant Khanduri
Chetty Indrin
Kundan Thind
Dongxiao Zhu
MedIm
129
2
0
23 Nov 2024
12345
Next