Medical Image Analysis

Article	Citations
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning	666
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation	477
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation	348
Deep neural network models for computational histopathology: A survey	318
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis	313
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	297
PadChest: A large chest x-ray image dataset with multi-label annotated reports	269
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis	264
Loss odyssey in medical image segmentation	240
A survey on active learning and human-in-the-loop deep learning for medical image analysis	234
Accurate brain age prediction with lightweight deep neural networks	231
Recent advances and clinical applications of deep learning in medical image analysis	225
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	213
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results	207
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks	202
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	199
Deep learning for chest X-ray analysis: A survey	193
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation	184
The Liver Tumor Segmentation Benchmark (LiTS)	177
Applications of deep learning in fundus images: A review	175
Transformers in medical imaging: A survey	166
CS2-Net: Deep learning segmentation of curvilinear structures in	165
Skin lesion segmentation via generative adversarial networks with dual discriminators	157
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	156
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking	150

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging	150
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	149
Segmentation of breast ultrasound image with semantic classification of superpixels	148
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	143
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation	139
Models Genesis	135
Boundary loss for highly unbalanced segmentation	129
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images	125
TransMorph: Transformer for unsupervised medical image registration	125
A survey on incorporating domain knowledge into deep learning for medical image analysis	125
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	113
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge	112
Surgical data science – from concepts toward clinical translation	111
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	109
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia	106
Supervised learning with cyclegan for low-dose FDG PET image denoising	100
CycleMorph: Cycle consistent unsupervised deformable image registration	99
Global guidance network for breast lesion segmentation in ultrasound images	95
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization	94
Federated learning for computational pathology on gigapixel whole slide images	94
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency	93
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images	91
Cellular community detection for tissue phenotyping in colorectal cancer histology images	90
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	88
ResGANet: Residual group attention network for medical image classification and segmentation	85
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer	85
Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy	85
Deep reinforcement learning in medical imaging: A literature review	85
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	83
COVID-AL: The diagnosis of COVID-19 with deep active learning	83
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset	82
Rubik’s Cube+: A self-supervised feature learning framework for 3D medical image analysis	82
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification	81
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides	81
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review	79
Surgical spectral imaging	79
Triple attention learning for classification of 14 thoracic diseases using chest radiography	78
Test-time adaptable neural networks for robust medical image segmentation	77
Score-based diffusion models for accelerated MRI	77
Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks	77
A survey on medical image analysis in diabetic retinopathy	76
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation	76
Transformer-based unsupervised contrastive learning for histopathological image classification	76
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation	74
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs	73
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction	73
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks	70
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images	69
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model	69
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis	69

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning	69
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy	69
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification	68
Boundary-aware context neural network for medical image segmentation	68
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology	68
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations	67
NuClick: A deep learning framework for interactive segmentation of microscopic images	66
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease	65
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study	65
Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images	64
Detect and correct bias in multi-site neuroimaging datasets	62
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification	62
Multi-task learning for the segmentation of organs at risk with label dependence	62
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification	61
Selective synthetic augmentation with HistoGAN for improved histopathology image classification	60
Hierarchical graph representations in digital pathology	59
BIAS: Transparent reporting of biomedical image analysis challenges	59
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation	59
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers	59
Semi-supervised task-driven data augmentation for medical image segmentation	59
Capsules for biomedical image segmentation	57
Detection, segmentation, simulation and visualization of aortic dissections: A review	57
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	56
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification	56
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan	56
Self-supervised driven consistency training for annotation efficient histopathology image analysis	55
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction	55
Diffusion models in medical imaging: A comprehensive survey	54
Deep learning for bone marrow cell detection and classification on whole-slide images	54
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set	54
Segment anything model for medical image analysis: An experimental study	54
Automatic detection of rare pathologies in fundus photographs using few-shot learning	54
Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection	54
Marginal loss and exclusion loss for partially supervised multi-organ segmentation	54
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images	54
Integrative analysis for COVID-19 patient outcome prediction	53
Subsampled brain MRI reconstruction by generative adversarial neural networks	53
Fully transformer network for skin lesion analysis	52
Detecting genetic associations with brain imaging phenotypes in Alzheimer’s disease via a novel structured SCCA approach	52
Roto-translation equivariant convolutional networks: Application to histopathology image analysis	52
Domain-invariant interpretable fundus image quality assessment	52
Recent advances in medical image processing for the evaluation of chronic kidney disease	52
Unsupervised lesion detection via image restoration with a normative prior	51
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images	51
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval	51
Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints	51
PAIP 2019: Liver cancer segmentation challenge	51
ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network	51
Hypergraph learning for identification of COVID-19 with CT imaging	50
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture	50
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping	49
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning	49
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework	49
Structured layer surface segmentation for retina OCT using fully convolutional regression networks	49
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks	49
Semi-supervised WCE image classification with adaptive aggregated attention	47
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos	47
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network	47
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning	47
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection	47
Residual cyclegan for robust domain transformation of histopathological tissue slides	47
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review	47
Trophectoderm segmentation in human embryo images via inceptioned U-Net	46
Deep learning for predicting COVID-19 malignant progression	46
Automated interpretation of congenital heart disease from multi-view echocardiograms	46
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans	46
Unsupervised X-ray image segmentation with task driven generative adversarial networks	46
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining	46
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease	46
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound	46
Cascaded convolutional networks for automatic cephalometric landmark detection	45
Image computing for fibre-bundle endomicroscopy: A review	45
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis	45
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate	45
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19	45
Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare	44
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study	44
Multi-constraint generative adversarial network for dose prediction in radiotherapy	44
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation	43
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy	43

Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy	43
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	43
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks	43
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images	43
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	43
Mitosis domain generalization in histopathology images — The MIDOG challenge	42
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening	42
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains	42
SDCT-AuxNet : DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis	42
Directional-TV algorithm for image reconstruction from limited-angular-range data	42
Deep metric learning for otitis media classification	41
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	41
VR-Caps: A Virtual Environment for Capsule Endoscopy	41
Disentangle domain features for cross-modality cardiac image segmentation	40
Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information	40
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	40
Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach	40
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction	40
A review on deep-learning algorithms for fetal ultrasound-image analysis	40
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis	40
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	40
SlideGraph+: Whole slide image level graphs to predict HER2 statu	40
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge	39
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis	39
A deep learning framework for quality assessment and restoration in video endoscopy	39
Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography	39
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs	39
Uncertainty-aware domain alignment for anatomical structure segmentation	39
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography	39
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography	39
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review	39
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning	39
CNN-based lung CT registration with multiple anatomical constraints	38
A deep-learning approach for direct whole-heart mesh reconstruction	38
Mutual consistency learning for semi-supervised medical image segmentation	37
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment	37
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	37
Quantifying Parkinson’s disease motor severity under uncertainty using MDS-UPDRS videos	37
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue	36
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers	36
Deeply-supervised density regression for automatic cell counting in microscopy images	36
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation	36
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data	36
Autoencoder based self-supervised test-time adaptation for medical image analysis	36
Knowledge matters: Chest radiology report generation with general and specific knowledge	35
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry	35
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching	35
A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data	35
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration	35
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography	35
Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem	35
Volumetric memory network for interactive medical image segmentation	35
Integrating uncertainty in deep neural networks for MRI based stroke analysis	35
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data	34
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement	34
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks	34
Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI	34
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes	34
CaDIS: Cataract dataset for surgical RGB-image segmentation	34
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification	34
SoftSeg: Advantages of soft versus binary training for image segmentation	34
Brain functional connectivity analysis based on multi-graph fusion	33
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis	33
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network	33
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers	33
A unified framework for multimodal structure–function mapping based on eigenmodes	33
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning	33
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	33
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences	32
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge	32
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching	32
Deep low-Rank plus sparse network for dynamic MR imaging	32
Deep triplet hashing network for case-based medical image retrieval	32
Automatic skull defect restoration and cranial implant generation for cranioplasty	32
Diverse data augmentation for learning image segmentation with cross-modality annotations	32
End-to-end multimodal image registration via reinforcement learning	31
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy	31
Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks	31
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images	31
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information	31
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI	31
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	31
MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network	31
The HoloLens in medicine: A systematic review and taxonomy	30
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels	30
Source free domain adaptation for medical image segmentation with fourier style mining	30
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis	30
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan	30
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke	29
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences	29
Self-paced and self-consistent co-training for semi-supervised image segmentation	29
MommiNet-v2: Mammographic multi-view mass identification networks	29
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI	29
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition	29
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system	29