Transformers in medical imaging: A survey

A vision transformer architecture for the automated segmentation of retinal lesions in spectral domain optical coherence tomography images

(2023) Daniel Philippi et al.   Scientific Reports

RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation

(2022) Shiqi Huang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network

(2021) Xiao Qi et al.   International Journal of Computer Assisted Radiology and Surgery

Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing

(2021) Vishal Monga et al.   IEEE SIGNAL PROCESSING MAGAZINE

Ultrasound Medical Imaging Techniques

(2021) Danilo Avola et al.   ACM COMPUTING SURVEYS

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

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

(2021) Fernando Pérez-García et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Medical imaging deep learning with differential privacy

(2021) Alexander Ziller et al.   Scientific Reports

Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT-CNN Ensemble Model

(2021) Zhencun Jiang et al.   Computational Intelligence and Neuroscience

TransMed: Transformers Advance Multi-Modal Medical Image Classification

(2021) Yin Dai et al.   Diagnostics

Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors

(2021) Dhiraj Maji et al.   Biomedical Signal Processing and Control

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

(2021) Victor M. Campello et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Vision Transformer‐based recognition of diabetic retinopathy grade

(2021) Jianfang Wu et al.   MEDICAL PHYSICS

COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare

(2021) Debaditya Shome et al.   International Journal of Environmental Research and Public Health

An Attentive Survey of Attention Models

(2021) Sneha Chaudhari et al.   ACM Transactions on Intelligent Systems and Technology

Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery

(2020) Rizwan Ahmad et al.   IEEE SIGNAL PROCESSING MAGAZINE

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

(2020) Yicheng Fang et al.   RADIOLOGY

Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

(2020) Tao Ai et al.   RADIOLOGY

Can Chest CT Features Distinguish Patients With Negative From Those With Positive Initial RT-PCR Results for Coronavirus Disease (COVID-19)?

(2020) Dandan Chen et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Automatic detection of rare pathologies in fundus photographs using few-shot learning

(2020) Gwenolé Quellec et al.   MEDICAL IMAGE ANALYSIS

Video-based AI for beat-to-beat assessment of cardiac function

(2020) David Ouyang et al.   NATURE

Understanding adversarial attacks on deep learning based medical image analysis systems

(2020) Xingjun Ma et al.   PATTERN RECOGNITION

Deep learning in generating radiology reports: A survey

(2020) Maram Mahmoud A. Monshi et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Systematic review and meta-analysis on the impact of lung cancer screening by low-dose computed tomography

(2020) Alexandre Sadate et al.   EUROPEAN JOURNAL OF CANCER

DeepNeuro: an open-source deep learning toolbox for neuroimaging

(2020) Andrew Beers et al.   NEUROINFORMATICS

Chest CT in COVID-19: What the Radiologist Needs to Know

(2020) Thomas C. Kwee et al.   RADIOGRAPHICS

Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks

(2020) Qian Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module

(2020) Huisi Wu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

PadChest: A large chest x-ray image dataset with multi-label annotated reports

(2020) Aurelia Bustos et al.   MEDICAL IMAGE ANALYSIS

PAIP 2019: Liver cancer segmentation challenge

(2020) Yoo Jung Kim et al.   MEDICAL IMAGE ANALYSIS

RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans

(2020) Qiangguo Jin et al.   Frontiers in Bioengineering and Biotechnology

Overview of Deep Learning in Gastrointestinal Endoscopy

(2019) Jun Ki Min et al.   Gut and Liver

Tumor mutational load predicts survival after immunotherapy across multiple cancer types

(2019) Robert M. Samstein et al.   NATURE GENETICS

Deep Learning in Medical Ultrasound Analysis: A Review

(2019) Shengfeng Liu et al.   Engineering

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

Adversarial attacks on medical machine learning

(2019) Samuel G. Finlayson et al.   SCIENCE

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

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

(2019) Mohammad Hesam Hesamian et al.   JOURNAL OF DIGITAL IMAGING

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

Recent and Upcoming Technological Developments in Computed Tomography

(2019) Michael M. Lell et al.   INVESTIGATIVE RADIOLOGY

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

(2019) Zaiwang Gu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

(2019) Juan C. Caicedo et al.   NATURE METHODS

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network

(2019) Fangzhou Liao et al.   IEEE Transactions on Neural Networks and Learning Systems

Corneal Endothelial Cells Over the Past Decade: Are We Missing the Mark(er)?

(2019) Bert Van den Bogerd et al.   Translational Vision Science & Technology

Generative adversarial network in medical imaging: A review

(2019) Xin Yi et al.   MEDICAL IMAGE ANALYSIS

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

(2019) José Ignacio Orlando et al.   MEDICAL IMAGE ANALYSIS

Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning [Scanning the Issue]

(2019) James S. Duncan et al.   PROCEEDINGS OF THE IEEE

A Multi-Organ Nucleus Segmentation Challenge

(2019) Neeraj Kumar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

(2019) Zongwei Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Medical image registration in image guided surgery: Issues, challenges and research opportunities

(2018) Fakhre Alam et al.   Biocybernetics and Biomedical Engineering

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

NiftyNet: a deep-learning platform for medical imaging

(2018) Eli Gibson et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?

(2018) Olivier Bernard et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT

(2018) Yoseob Han et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

Deep learning in mammography and breast histology, an overview and future trends

(2018) Azam Hamidinekoo et al.   MEDICAL IMAGE ANALYSIS

MR and CT data with multiobserver delineations of organs in the pelvic area-Part of the Gold Atlas project

(2018) Tufve Nyholm et al.   MEDICAL PHYSICS

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

(2018) Antonios Makropoulos et al.   NEUROIMAGE

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

(2018) Moi Hoon Yap et al.   IEEE Journal of Biomedical and Health Informatics

Review of Visual Saliency Detection with Comprehensive Information

(2018) Runmin Cong et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

(2018) Philipp Tschandl et al.   Scientific Data

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

A radiogenomic dataset of non-small cell lung cancer

(2018) Shaimaa Bakr et al.   Scientific Data

Deep Convolutional Neural Network for Inverse Problems in Imaging

(2017) Kyong Hwan Jin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

(2017) Neeraj Kumar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Gland segmentation in colon histology images: The glas challenge contest

(2017) Korsuk Sirinukunwattana et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Low-dose CT for the detection and classification of metastatic liver lesions: Results of the 2016 Low Dose CT Grand Challenge

(2017) Cynthia H. McCollough et al.   MEDICAL PHYSICS

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Breast ultrasound image segmentation: a survey

(2017) Qinghua Huang et al.   International Journal of Computer Assisted Radiology and Surgery

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

(2017) David Vázquez et al.   Journal of Healthcare Engineering

A curated mammography data set for use in computer-aided detection and diagnosis research

(2017) Rebecca Sawyer Lee et al.   Scientific Data

Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

Preparing a collection of radiology examinations for distribution and retrieval

(2015) Dina Demner-Fushman et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE

(2014) Etienne Decencière et al.   Image Analysis & Stereology

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

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

Diabetic Retinopathy Grading by Digital Curvelet Transform

(2012) Shirin Hajeb Mohammad Alipour et al.   Computational and Mathematical Methods in Medicine

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

Model-Based Image Reconstruction for MRI

(2010) Jeffrey Fessler   IEEE SIGNAL PROCESSING MAGAZINE

Screening for Lung Cancer with Low-Dose Computed Tomography: A Systematic Review and Meta-Analysis of the Baseline Findings of Randomized Controlled Trials

(2010) Muralikrishna Gopal et al.   Journal of Thoracic Oncology

Individual tooth segmentation from CT images using level set method with shape and intensity prior

(2010) Hui Gao et al.   PATTERN RECOGNITION