A survey on deep learning applied to medical images: from simple artificial neural networks to generative models

Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers

(2022) Yilmaz Korkmaz et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Survey on Vision Transformer

(2022) Kai Han et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Literature review: efficient deep neural networks techniques for medical image analysis

(2022) Mohamed A. Abdou   NEURAL COMPUTING & APPLICATIONS

Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study

(2022) Rajendran Nirthika et al.   NEURAL COMPUTING & APPLICATIONS

Score-based diffusion models for accelerated MRI

(2022) Hyungjin Chung et al.   MEDICAL IMAGE ANALYSIS

A survey of deep learning methods for multiple sclerosis identification using brain MRI images

(2022) Melike Sah et al.   NEURAL COMPUTING & APPLICATIONS

A time-lapse embryo dataset for morphokinetic parameter prediction

(2022) Tristan Gomez et al.   Data in Brief

A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images

(2021) Jawad Rasheed et al.   Interdisciplinary Sciences-Computational Life Sciences

BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder–Decoder Network

(2021) Mobeen Ur Rehman et al.   Diagnostics

A deep-learning-based unsupervised model on esophageal manometry using variational autoencoder

(2021) Wenjun Kou et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

(2021) Tawsifur Rahman et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Unsupervised Deep Anomaly Detection in Chest Radiographs

(2021) Takahiro Nakao et al.   JOURNAL OF DIGITAL IMAGING

Tumor attention networks: Better feature selection, better tumor segmentation

(2021) Shuchao Pang et al.   NEURAL NETWORKS

A deep survival interpretable radiomics model of hepatocellular carcinoma patients

(2021) Lise Wei et al.   Physica Medica-European Journal of Medical Physics

A patient-centric dataset of images and metadata for identifying melanomas using clinical context

(2021) Veronica Rotemberg et al.   Scientific Data

MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation

(2021) Run Su et al.   Frontiers in Genetics

Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification

(2021) Ting Pang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Screening of Glaucoma disease from retinal vessel images using semantic segmentation

(2021) Rakhshanda Imtiaz et al.   COMPUTERS & ELECTRICAL ENGINEERING

Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study

(2021) Christoph Baur et al.   MEDICAL IMAGE ANALYSIS

Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning

(2021) Xiao Zhou et al.   Alzheimers Research & Therapy

Dense GAN and multi-layer attention based lesion segmentation method for COVID-19 CT images

(2021) Ju Zhang et al.   Biomedical Signal Processing and Control

Sharp U-Net: Depthwise convolutional network for biomedical image segmentation

(2021) Hasib Zunair et al.   COMPUTERS IN BIOLOGY AND MEDICINE

COVID‐19 diagnosis on CT scan images using a generative adversarial network and concatenated feature pyramid network with an attention mechanism

(2021) Zonggui Li et al.   MEDICAL PHYSICS

R2AU-Net: Attention Recurrent Residual Convolutional Neural Network for Multimodal Medical Image Segmentation

(2021) Qiang Zuo et al.   Security and Communication Networks

Comparative Experimental Investigation and Application of Five Classic Pre-Trained Deep Convolutional Neural Networks via Transfer Learning for Diagnosis of Breast Cancer

(2021) Hidir Nogay et al.   Advances in Science and Technology-Research Journal

Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review

(2021) Vilson Soares de Siqueira et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review

(2021) Munetoshi Akazawa et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

FAT-Net: Feature adaptive transformers for automated skin lesion segmentation

(2021) Huisi Wu et al.   MEDICAL IMAGE ANALYSIS

Deep Learning for Medical Anomaly Detection – A Survey

(2021) Tharindu Fernando et al.   ACM COMPUTING SURVEYS

Breast Ultrasound Region of Interest Detection and Lesion Localisation

(2020) Moi Hoon Yap et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A GAN-based image synthesis method for skin lesion classification

(2020) Zhiwei Qin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automatic assessment of Alzheimer’s disease diagnosis based on deep learning techniques

(2020) Alejandro Puente-Castro et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Augmented deep learning model for improved quantitative accuracy of MR-based PET attenuation correction in PSMA PET-MRI prostate imaging

(2020) Andrii Pozaruk et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

GANs for Medical Image Analysis

(2020) Salome Kazeminia et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep semantic segmentation of natural and medical images: a review

(2020) Saeid Asgari Taghanaki et al.   ARTIFICIAL INTELLIGENCE REVIEW

Deep learning for mass detection in Full Field Digital Mammograms

(2020) Richa Agarwal et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A Deep Neural Network to Distinguish COVID-19 from other Chest Diseases using X-ray Images

(2020) Saleh Albahli   Current Medical Imaging Reviews

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

(2020) Xi Ouyang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Skin lesion segmentation via generative adversarial networks with dual discriminators

(2020) Baiying Lei et al.   MEDICAL IMAGE ANALYSIS

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

(2020) Rodolfo M. Pereira et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

(2020) Shervin Minaee 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

Multi-Scale Self-Guided Attention for Medical Image Segmentation

(2020) Ashish Sinha et al.   IEEE Journal of Biomedical and Health Informatics

A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set

(2020) Yue Zhang et al.   MEDICAL IMAGE ANALYSIS

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

(2019) Titus J. Brinker et al.   EUROPEAN JOURNAL OF CANCER

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

Survey on semantic segmentation using deep learning techniques

(2019) Fahad Lateef et al.   NEUROCOMPUTING

Combo loss: Handling input and output imbalance in multi-organ segmentation

(2019) Saeid Asgari Taghanaki et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Brain tumor classification using deep CNN features via transfer learning

(2019) S. Deepak et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Exploring uncertainty measures in deep networks for Multiple Sclerosis lesion detection and segmentation

(2019) Tanya Nair et al.   MEDICAL IMAGE ANALYSIS

Patch‐Based Generative Adversarial Neural Network Models for Head and Neck MR‐Only Planning

(2019) Peter Klages et al.   MEDICAL PHYSICS

RescueNet: An unpaired GAN for brain tumor segmentation

(2019) Shubhangi Nema et al.   Biomedical Signal Processing and Control

Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images

(2019) Navid Ghassemi et al.   Biomedical Signal Processing and Control

A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

(2019) Farheen Ramzan et al.   JOURNAL OF MEDICAL SYSTEMS

Reconstruction of multicontrast MR images through deep learning

(2019) Won‐Joon Do et al.   MEDICAL PHYSICS

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

(2018) Daniel S. Kermany et al.   CELL

From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge

(2018) Peter Bandi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net

(2018) Jihye Yun et al.   MEDICAL IMAGE ANALYSIS

Unsupervised pathology detection in medical images using conditional variational autoencoders

(2018) Hristina Uzunova et al.   International Journal of Computer Assisted Radiology and Surgery

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

(2015) Jun Cheng et al.   PLoS One

Artificial Neural Network for Prediction of Distant Metastasis in Colorectal Cancer

(2012) Akbar Biglarian et al.   Asian Pacific Journal of Cancer Prevention

INbreast

(2011) Inês C. Moreira et al.   ACADEMIC RADIOLOGY

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

(2011) Samuel G. Armato et al.   MEDICAL PHYSICS

Application of artificial neural networks for the prediction of lymph node metastases to the ipsilateral axilla – initial experience in 194 patients using magnetic resonance mammography

(2010) Matthias Dietzel et al.   ACTA RADIOLOGICA

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Alzheimer's Disease Neuroimaging Initiative (ADNI): Clinical characterization

(2009) R. C. Petersen et al.   NEUROLOGY