Deep Learning in Medical Imaging and Medical Image Analysis

Review and Survey

Guest Editorial Deep Learning in Medical Imaging Overview and Future Promise of an Exciting New Technique 2016 [paper]

Overview of Deep Learning in Medical Imaging 2017 [paper]

A Survey on Deep Learning in Medical Image Analysis 2017 [paper]

Deep Learning Applications in Medical Image Analysis 2017 [paper]

Deep Learning in Medical Image Analysis 2017 [paper]

Deep Learning in Microscopy Image Analysis A Survey 2017 [paper]

GANs for Medical Image Analysis arXiv 2018 [paper]

Generative Adversarial Network in Medical Imaging: A Review arXiv 2018 [paper]

Deep Learning in Medical Image Registration: A Survey arXiv 2019 [paper]

Deep Learning in Medical Image Registration: A Review arXiv 2019 [paper]

Deep Learning in Medical Ultrasound Analysis A Review Engineering 2019 [paper]

Deep Learning in Cardiology arXiv 2019 [paper]

Deep learning in Medical Imaging and Radiation Therapy MP 2019 [paper]

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges JDI 2019 [paper]

Embracing Imperfect Datasets A Review of Deep Learning Solutions for Medical Image Segmentation MedIA 2020 [arXiv paper] [MedIA paper]

Machine Learning Techniques for Biomedical Image Segmentation An Overview of Technical Aspects and Introduction to State-of-Art Applications arXiv 2019 [paper]

Deep Neural Network Models for Computational Histopathology A Survey arXiv 2019 [paper]

A Survey on Domain Knowledge Powered Deep Learning for Medical Image Analysis arXiv 2020 [paper]

State-of-the-Art Deep Learning in Cardiovascular Image Analysis JACC 2019 [paper]

A Review of Deep Learning in Medical Imaging Image Traits Technology Trends Case Studies with Progress Highlights and Future Promises arXiv 2020 [paper]

Review of Artificial Intelligence Techniques in Imaging Data Acquisition Segmentation and Diagnosis for COVID-19 IEEE RBME 2020 [paper]

Model-Based and Data-Driven Strategies in Medical Image Computing IEEE Proceedings 2020 [paper] [arXiv paper]

Deep Learning Based Brain Tumor Segmentation A Survey arXiv 2020 [paper]

A Review Deep Learning for Medical Image Segmentation Using Multi-modality Fusion arXiv 2020 [paper]

Medical Instrument Detection in Ultrasound-Guided Interventions A Review arXiv 2020 [paper]

A Review of Deep Learning in Medical Imaging Image Traits Technology Trends Case Studies with Progress Highlights and Future Promises arXiv 2020 [paper]

Medical Image Segmentation Using Deep Learning A Survey arXiv 2020 [paper]

Learning-based Algorithms for Vessel Tracking A Review arXiv 2020 [paper]

Deep Learning for Cardiac Image Segmentation A Review FCVM 2020 [paper]

Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology Circulation 2020 [paper]

Overview of the Whole Heart and Heart Chamber Segmentation Methods CET 2020 [paper]

Deep Learning for Chest X-ray Analysis A Survey arXiv 2021 [paper]

Multi-Modality Cardiac Image Computing A Survey arXiv 2022 [paper]

Nuclei & Glands Instance Segmentation in Histology Images A Narrative Review arXiv 2022 [paper]

Datasets

Development of a Digital Image Database for Chest Radiographs with and without a Lung Nodule AJR 2000

"Chest Radiographs", "the JSRT database"

Segmentation of Anatomical Structures in Chest Radiographs Using Supervised Methods A Comparative Study on a Public Database MedIA 2006

"Chest Radiographs", "the SCR dataset (ground-truth segmentation masks) for the JSRT database (X-ray images)"

ChestX-ray8 Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases CVPR 2017 [dataset]

"Chest Radiographs"

KiTS 2019 [dataset]

"300 Abdomen CT scans for kidney and tumor segmentation"

CHD_Segmentation [dataset]

"68 CT images with labels. The label includes left ventricle, right ventricle, left atrium, right atrium, myocardium, aorta, and pulmonary artery."

Skin Lesion Analysis Toward Melanoma Detection 2018 A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) arXiv 2019

ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection arXiv 2017 [paper]

"ISIC2016", "ISIC2017", "ISIC2018", "ISIC2019"

VerSe A Vertebrae Labelling and Segmentation Benchmark arXiv 2020 [paper]

"VerSe"

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology IEEE TMI 2017 [paper]

A Multi-Organ Nucleus Segmentation Challenge IEEE TMI 2020 [paper]

"MoNuSeg"

Deep Learning to Segment Pelvic Bones Large-scale CT Datasets and Baseline Models arXiv 2020 [paper]

"CTPelvic1K"

RibSeg v2 A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction arXiv 2022 [paper]

"RibSeg"

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Computed Tomography (CT)

2022

Learning Topological Interactions for Multi-Class Medical Image Segmentation ECCV Oral 2022 [paper] [code]

2015

3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data MICCAI 2015 [paper]

2016

An Artificial Agent for Anatomical Landmark Detection in Medical Images MICCAI 2016 [paper]

"deep reinforcement learning", "anatomical landmark detection"

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields MICCAI 2016 [paper]

"CRF"

Low-dose CT Denoising with Convolutional Neural Network [paper]

Low-Dose CT via Deep Neural Network [paper]

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks [paper]

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation IEEE TMI 2016 [paper]

2017

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss [paper]

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network MICCAI 2017 [paper]

Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network [paper]

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT [paper]

Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image [paepr]

A Self-aware Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation [paper]

DeepLesion Automated Deep Mining Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations [paper]

Unsupervised End-to-end Learning for Deformable Medical Image Registration [paper]

DeepLung 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification [paper]

CT Image Denoising with Perceptive Deep Neural Networks [paper]

Improving Low-Dose CT Image Using Residual Convolutional Network [paper]

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) [[paper]](htt