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2211.02701
Cited By
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
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Papers citing
"MONAI: An open-source framework for deep learning in healthcare"
43 / 193 papers shown
Title
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I. Vogelius
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A. Gothelf
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The minimal computational substrate of fluid intelligence
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ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
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08 Aug 2023
Multi-layer Aggregation as a key to feature-based OOD detection
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Senan Doyle
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Florence Forbes
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Generative AI for Medical Imaging: extending the MONAI Framework
W. H. Pinaya
M. Graham
E. Kerfoot
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J. Dafflon
...
Andrew Feng
Marc Modat
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
SyDa
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COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation
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Xing Yao
Yubo Fan
Dewei Hu
Benoit M. Dawant
V. Nath
Zhoubing Xu
I. Oguz
VLM
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S. M. Abulnaga
Benjamin Billot
Esra Abaci Turk
P. E. Grant
Adrian V. Dalca
Polina Golland
MedIm
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13 Jul 2023
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images
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Mengqiu Xu
Kongming Liang
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Ming Wu
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Unsupervised 3D out-of-distribution detection with latent diffusion models
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Y. Mah
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H. Jäger
D. Werring
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffM
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ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance
Jiayu Huo
Yang Liu
Xiaoyun Ouyang
Alejandro Granados
Sebastien Ourselin
Rachel Sparks
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02 Jul 2023
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging
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S. Curcean
J. Winfield
Gigin Lin
C. Messiou
M. Blackledge
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EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation
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Justin Sonneck
Sweta Banerjee
Stefanie Dorr
Anika Gruneboom
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MedIm
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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
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Michael Fitzke
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Emil Walleser
Xiaoli Qiao
Mark Parkinson
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17 May 2023
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting
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V. Gaitan
Ragnhild Holden Helland
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O. Solheim
Ingerid Reinertsen
6
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28 Apr 2023
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training
Han Liu
Zhoubing Xu
Riqiang Gao
Hao Li
J. Wang
G. Chabin
I. Oguz
Sasa Grbic
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27 Apr 2023
Learning Task-Specific Strategies for Accelerated MRI
Zihui Wu
Tianwei Yin
Yu Sun
R. Frost
A. Kouwe
Adrian V. Dalca
Katherine L. Bouman
30
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25 Apr 2023
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
Yihao Liu
Jiaming Zhang
Zhangcong She
Amir Kheradmand
Mehran Armand
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12 Apr 2023
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
24
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09 Apr 2023
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
MedIm
DiffM
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08 Apr 2023
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation
Zheyu Zhang
Bin Wang
Lanhong Yao
Ugur Demir
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05 Apr 2023
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift
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Rebecca J Engberg
H. Kjer
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04 Apr 2023
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
Yi-Mou Lin
Xiaori Fang
Dong-Ming Zhang
Kwang-Ting Cheng
Hao Chen
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23 Mar 2023
Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses
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10 Mar 2023
Generative AI for Rapid Diffusion MRI with Improved Image Quality, Reliability and Generalizability
Amir Sadikov
Xinlei Pan
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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
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28 Feb 2023
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification
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Daniel C. Alexander
Geoffrey J. M. Parker
Arman Eshaghi
D. Ravì
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25 Feb 2023
A Deep Learning-Based and Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis from 3D Echocardiography
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S. Saitta
G. Ingallina
P. Denti
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A Review of the Role of Causality in Developing Trustworthy AI Systems
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Dren Fazlija
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Manolis Koubarakis
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W. Z. E. Amri
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A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
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SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations
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An overview of open source Deep Learning-based libraries for Neuroscience
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UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Abdelrahman M. Shaker
Muhammad Maaz
H. Rasheed
Salman Khan
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Open-Source Skull Reconstruction with MONAI
Jianning Li
André Ferreira
B. Puladi
Victor Alves
Michael Kamp
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Seyed-Ahmad Ahmadi
Jan Egger
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NVIDIA FLARE: Federated Learning from Simulation to Real-World
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medigan: a Python library of pretrained generative models for medical image synthesis
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Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
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Yunguan Fu
Iani J. M. B. Gayo
Qianye Yang
Zhe Min
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Matthew J. Clarkson
Henkjan J. Huisman
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PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation
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Xiangde Luo
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Yijie Qu
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GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
Sarthak Pati
Siddhesh P. Thakur
İbrahim Ethem Hamamcı
Ujjwal Baid
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Renato Umeton
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