Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
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Title
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Authors
Keywords
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Journal
MEDICAL IMAGE ANALYSIS
Volume 85, Issue -, Pages 102762
Publisher
Elsevier BV
Online
2023-01-31
DOI
10.1016/j.media.2023.102762
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Note: Only part of the references are listed.- Automated Segmentation of Normal and Diseased Coronary Arteries - The ASOCA Challenge
- (2022) Ramtin Gharleghi et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
- (2022) Yilmaz Korkmaz et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Medical image segmentation using deep learning: A survey
- (2022) Risheng Wang et al. IET Image Processing
- ConvUNeXt: An efficient convolution neural network for medical image segmentation
- (2022) Zhimeng Han et al. KNOWLEDGE-BASED SYSTEMS
- TransMorph: Transformer for unsupervised medical image registration
- (2022) Junyu Chen et al. MEDICAL IMAGE ANALYSIS
- Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
- (2022) Haomin Chen et al. npj Digital Medicine
- The RSNA International COVID-19 Open Annotated Radiology Database (RICORD)
- (2021) Emily B. Tsai et al. RADIOLOGY
- A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises
- (2021) S. Kevin Zhou et al. PROCEEDINGS OF THE IEEE
- A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy
- (2021) Xuming Chen et al. RADIOTHERAPY AND ONCOLOGY
- LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction
- (2021) Johannes Leuschner et al. Scientific Data
- TransMed: Transformers Advance Multi-Modal Medical Image Classification
- (2021) Yin Dai et al. Diagnostics
- RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism
- (2021) Hao Jiang et al. Computational and Mathematical Methods in Medicine
- Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge
- (2021) Victor M. Campello et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Global-Local Transformer for Brain Age Estimation
- (2021) Sheng He et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep reinforcement learning in medical imaging: A literature review
- (2021) S. Kevin Zhou et al. MEDICAL IMAGE ANALYSIS
- DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography
- (2021) Bo Zhou et al. MEDICAL IMAGE ANALYSIS
- HybridCTrm: Bridging CNN and Transformer for Multimodal Brain Image Segmentation
- (2021) Qixuan Sun et al. Journal of Healthcare Engineering
- xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography
- (2021) Arnab Kumar Mondal et al. IEEE Journal of Translational Engineering in Health and Medicine-JTEHM
- Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
- (2021) Valentin Oreiller et al. MEDICAL IMAGE ANALYSIS
- Video-based AI for beat-to-beat assessment of cardiac function
- (2020) David Ouyang et al. NATURE
- Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs
- (2020) Dan Milea et al. NEW ENGLAND JOURNAL OF MEDICINE
- Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data
- (2020) Jeya Maria Jose Valanarasu et al. IEEE Journal of Selected Topics in Signal Processing
- HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
- (2020) Hanna Borgli et al. Scientific Data
- PAIP 2019: Liver cancer segmentation challenge
- (2020) Yoo Jung Kim et al. MEDICAL IMAGE ANALYSIS
- FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images
- (2020) Yunhe Gao et al. MEDICAL IMAGE ANALYSIS
- The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
- (2020) Nicholas Heller et al. MEDICAL IMAGE ANALYSIS
- nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
- (2020) Fabian Isensee et al. NATURE METHODS
- CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
- (2020) Ran Gu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Weakly-Supervised Vessel Detection in Ultra-Widefield Fundus Photography via Iterative Multi-Modal Registration and Learning
- (2020) Li Ding et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A functional connectome phenotyping dataset including cognitive state and personality measures
- (2019) Natacha Mendes et al. Scientific Data
- Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
- (2019) Jakob Nikolas Kather et al. PLOS MEDICINE
- Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
- (2019) Veronika Cheplygina et al. MEDICAL IMAGE ANALYSIS
- Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
- (2019) Christian Payer et al. MEDICAL IMAGE ANALYSIS
- PET image denoising using unsupervised deep learning
- (2019) Jianan Cui et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge
- (2019) Li Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- VoxelMorph: A Learning Framework for Deformable Medical Image Registration
- (2019) Guha Balakrishnan et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces
- (2019) Adrian V. Dalca et al. MEDICAL IMAGE ANALYSIS
- Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl
- (2019) Juan C. Caicedo et al. NATURE METHODS
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- (2019) A. Emre Kavur et al. Diagnostic and Interventional Radiology
- REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
- (2019) José Ignacio Orlando et al. MEDICAL IMAGE ANALYSIS
- Dilated Residual Learning With Skip Connections for Real-Time Denoising of Laser Speckle Imaging of Blood Flow in a Log-Transformed Domain
- (2019) Weimin Cheng et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Multi-Organ Nucleus Segmentation Challenge
- (2019) Neeraj Kumar et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network
- (2019) Shengyu Zhao et al. IEEE Journal of Biomedical and Health Informatics
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- (2018) Zhengxin Zhang et al. IEEE Geoscience and Remote Sensing Letters
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- (2018) Olivier Bernard et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement
- (2018) Roberto Souza et al. NEUROIMAGE
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- (2018) Matteo Bastiani et al. NEUROIMAGE
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- (2018) Sripad Krishna Devalla et al. Biomedical Optics Express
- Visual interpretability for deep learning: a survey
- (2018) Quan-shi Zhang et al. Frontiers of Information Technology & Electronic Engineering
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- (2018) Qing Huang et al. COMPUTERS IN BIOLOGY AND MEDICINE
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- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- (2017) Kai Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
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- (2017) Korsuk Sirinukunwattana et al. MEDICAL IMAGE ANALYSIS
- The Neuro Bureau ADHD-200 Preprocessed repository
- (2017) Pierre Bellec et al. NEUROIMAGE
- A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
- (2017) David Vázquez et al. Journal of Healthcare Engineering
- An open resource for transdiagnostic research in pediatric mental health and learning disorders
- (2017) Lindsay M. Alexander et al. Scientific Data
- A curated mammography data set for use in computer-aided detection and diagnosis research
- (2017) Rebecca Sawyer Lee et al. Scientific Data
- An Automatic Learning-Based Framework for Robust Nucleus Segmentation
- (2016) Fuyong Xing et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A CNN Regression Approach for Real-Time 2D/3D Registration
- (2016) Shun Miao et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A dedicated neonatal brain imaging system
- (2016) Emer J. Hughes et al. MAGNETIC RESONANCE IN MEDICINE
- A benchmark for comparison of dental radiography analysis algorithms
- (2016) Ching-Wei Wang et al. MEDICAL IMAGE ANALYSIS
- Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI
- (2016) Xiahai Zhuang et al. MEDICAL IMAGE ANALYSIS
- Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis
- (2016) Xiaofan Zhang et al. IEEE Journal of Biomedical and Health Informatics
- WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
- (2015) Jorge Bernal et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
- (2015) Bjoern H. Menze et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
- (2015) Wenlu Zhang et al. NEUROIMAGE
- MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans
- (2015) Adriënne M. Mendrik et al. Computational Intelligence and Neuroscience
- Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures
- (2015) Avram J. Holmes et al. Scientific Data
- An open science resource for establishing reliability and reproducibility in functional connectomics
- (2014) Xi-Nian Zuo et al. Scientific Data
- Population of anatomically variable 4D XCAT adult phantoms for imaging research and optimization
- (2013) W. P. Segars et al. MEDICAL PHYSICS
- The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
- (2013) A Di Martino et al. MOLECULAR PSYCHIATRY
- The Cancer Genome Atlas Pan-Cancer analysis project
- (2013) John N Weinstein et al. NATURE GENETICS
- The WU-Minn Human Connectome Project: An overview
- (2013) David C. Van Essen et al. NEUROIMAGE
- Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer
- (2013) Juan Silva et al. International Journal of Computer Assisted Radiology and Surgery
- An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation
- (2012) Muhammad Moazam Fraz et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Neural Broadening or Neural Attenuation? Investigating Age-Related Dedifferentiation in the Face Network in a Large Lifespan Sample
- (2012) J. Park et al. JOURNAL OF NEUROSCIENCE
- Towards automatic polyp detection with a polyp appearance model
- (2012) J. Bernal et al. PATTERN RECOGNITION
- The Parkinson Progression Marker Initiative (PPMI)
- (2011) Kenneth Marek et al. PROGRESS IN NEUROBIOLOGY
- A system for the automatic estimation of morphometric parameters of corneal endothelium in alizarine red-stained images
- (2010) A. Ruggeri et al. BRITISH JOURNAL OF OPHTHALMOLOGY
- Alzheimer's Disease Neuroimaging Initiative (ADNI): Clinical characterization
- (2009) R. C. Petersen et al. NEUROLOGY
- Construction of a 3D probabilistic atlas of human cortical structures
- (2007) David W. Shattuck et al. NEUROIMAGE
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