Medical Image Analysis

Article	Citations
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning	713
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis	378
Deep neural network models for computational histopathology: A survey	360
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis	359
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	347
Recent advances and clinical applications of deep learning in medical image analysis	315
A survey on active learning and human-in-the-loop deep learning for medical image analysis	297
PadChest: A large chest x-ray image dataset with multi-label annotated reports	297
Loss odyssey in medical image segmentation	284
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	273
The Liver Tumor Segmentation Benchmark (LiTS)	269
Accurate brain age prediction with lightweight deep neural networks	266
Transformers in medical imaging: A survey	255
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	252
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results	234
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks	225
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation	221
Deep learning for chest X-ray analysis: A survey	218
Applications of deep learning in fundus images: A review	205
TransMorph: Transformer for unsupervised medical image registration	186
CS2-Net: Deep learning segmentation of curvilinear structures in m	184
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	171
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging	171
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	170
Skin lesion segmentation via generative adversarial networks with dual discriminators	169

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	157
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking	156
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation	156
Models Genesis	155
A survey on incorporating domain knowledge into deep learning for medical image analysis	144
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	140
Surgical data science – from concepts toward clinical translation	139
Boundary loss for highly unbalanced segmentation	138
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images	135
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	134
Transformer-based unsupervised contrastive learning for histopathological image classification	129
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge	121
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency	121
CycleMorph: Cycle consistent unsupervised deformable image registration	119
Segment anything model for medical image analysis: An experimental study	114
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia	112
Federated learning for computational pathology on gigapixel whole slide images	111
Supervised learning with cyclegan for low-dose FDG PET image denoising	110
ResGANet: Residual group attention network for medical image classification and segmentation	106
Global guidance network for breast lesion segmentation in ultrasound images	105
Score-based diffusion models for accelerated MRI	105
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization	104
Deep reinforcement learning in medical imaging: A literature review	102
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	102
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images	102
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	97
COVID-AL: The diagnosis of COVID-19 with deep active learning	96
Rubik’s Cube+: A self-supervised feature learning framework for 3D medical image analysis	95
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer	95
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification	94
Diffusion models in medical imaging: A comprehensive survey	93
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides	92
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review	91
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset	91
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation	90
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning	89
Triple attention learning for classification of 14 thoracic diseases using chest radiography	87
Boundary-aware context neural network for medical image segmentation	87
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations	86
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs	86
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining	86
Test-time adaptable neural networks for robust medical image segmentation	84
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation	82
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis	82
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction	82
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model	82
A survey on medical image analysis in diabetic retinopathy	81
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	80
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology	78
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy	78

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks	77
Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images	76
NuClick: A deep learning framework for interactive segmentation of microscopic images	75
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification	75
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease	75
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers	72
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge	72
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval	72
Semi-supervised task-driven data augmentation for medical image segmentation	70
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification	69
Capsules for biomedical image segmentation	69
Self-supervised driven consistency training for annotation efficient histopathology image analysis	68
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study	68
Marginal loss and exclusion loss for partially supervised multi-organ segmentation	68
Selective synthetic augmentation with HistoGAN for improved histopathology image classification	68
Hierarchical graph representations in digital pathology	68
Deep learning for bone marrow cell detection and classification on whole-slide images	66
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction	66
Detect and correct bias in multi-site neuroimaging datasets	64
Detection, segmentation, simulation and visualization of aortic dissections: A review	64
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification	64
BIAS: Transparent reporting of biomedical image analysis challenges	63
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set	63
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification	63
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation	63
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images	63
PAIP 2019: Liver cancer segmentation challenge	62
Subsampled brain MRI reconstruction by generative adversarial neural networks	61
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation	61
Fully transformer network for skin lesion analysis	59
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	59
Mutual consistency learning for semi-supervised medical image segmentation	59
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images	59
Recent advances in medical image processing for the evaluation of chronic kidney disease	58
Structured layer surface segmentation for retina OCT using fully convolutional regression networks	57
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks	57
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan	57
Hypergraph learning for identification of COVID-19 with CT imaging	57
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review	56
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework	56
Unsupervised lesion detection via image restoration with a normative prior	56
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture	56
Integrative analysis for COVID-19 patient outcome prediction	55
ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network	55
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning	55
Roto-translation equivariant convolutional networks: Application to histopathology image analysis	54
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network	54
A review on deep-learning algorithms for fetal ultrasound-image analysis	54
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	54
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos	54
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans	54
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection	53
SlideGraph+: Whole slide image level graphs to predict HER2 status	53
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping	53
Residual cyclegan for robust domain transformation of histopathological tissue slides	52
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound	52
Cascaded convolutional networks for automatic cephalometric landmark detection	52
Directional-TV algorithm for image reconstruction from limited-angular-range data	51
Semi-supervised WCE image classification with adaptive aggregated attention	51
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19	51
Multi-constraint generative adversarial network for dose prediction in radiotherapy	50
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis	50
A deep learning framework for quality assessment and restoration in video endoscopy	50
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening	50
Volumetric memory network for interactive medical image segmentation	50
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography	50
Mitosis domain generalization in histopathology images — The MIDOG challenge	50
Automated interpretation of congenital heart disease from multi-view echocardiograms	49
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate	49
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	49
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review	48
Quantifying Parkinson’s disease motor severity under uncertainty using MDS-UPDRS videos	48
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	47
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images	47
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study	47
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	47
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy	46
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks	46
Deep learning for predicting COVID-19 malignant progression	46
Disentangle domain features for cross-modality cardiac image segmentation	45

Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue	45
Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information	45
Autoencoder based self-supervised test-time adaptation for medical image analysis	45
A deep-learning approach for direct whole-heart mesh reconstruction	45
Deep metric learning for otitis media classification	44
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks	44
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction	44
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching	44
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification	44
VR-Caps: A Virtual Environment for Capsule Endoscopy	44
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning	44
CNN-based lung CT registration with multiple anatomical constraints	44
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis	43
Knowledge matters: Chest radiology report generation with general and specific knowledge	43
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels	43
Uncertainty-aware domain alignment for anatomical structure segmentation	43
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data	42
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography	42
The HoloLens in medicine: A systematic review and taxonomy	42
Source free domain adaptation for medical image segmentation with fourier style mining	42
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	42
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry	42
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	42
Adaptive diffusion priors for accelerated MRI reconstruction	42
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network	42
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment	42
Segment anything model for medical images?	42
Integrating uncertainty in deep neural networks for MRI based stroke analysis	42
Deep low-Rank plus sparse network for dynamic MR imaging	40
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	40
Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem	40
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement	40
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge	40
A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data	40
Deeply-supervised density regression for automatic cell counting in microscopy images	40
CaDIS: Cataract dataset for surgical RGB-image segmentation	40
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers	40
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	40
Guidelines and evaluation of clinical explainable AI in medical image analysis	39
SoftSeg: Advantages of soft versus binary training for image segmentation	39
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data	39
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching	38
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans	38
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke	38
Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers	38
MommiNet-v2: Mammographic multi-view mass identification networks	38
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan	38
Brain functional connectivity analysis based on multi-graph fusion	37
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography	37
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes	37
SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images	37
Automatic skull defect restoration and cranial implant generation for cranioplasty	37
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy	37
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning	37
Deep triplet hashing network for case-based medical image retrieval	37
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	36
Dual-stream pyramid registration network	36
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image	36
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	36
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI	36
Robust deep learning-based semantic organ segmentation in hyperspectral images	36
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels	36
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration	36
A unified framework for multimodal structure–function mapping based on eigenmodes	36
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers	35
End-to-end multimodal image registration via reinforcement learning	35
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis	35
Diverse data augmentation for learning image segmentation with cross-modality annotations	35
An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms	35
MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network	35
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes	35
Learning disentangled representations in the imaging domain	34
Discriminative ensemble learning for few-shot chest x-ray diagnosis	34
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information	34
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images	34
Deep learning for computational cytology: A survey	34
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification	34
Weakly supervised object detection with 2D and 3D regression neural networks	34
Self-paced and self-consistent co-training for semi-supervised image segmentation	34
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis	34
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis	34
Quantifying and leveraging predictive uncertainty for medical image assessment	34
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences	33
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition	33
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework	33
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation	33
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system	33
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images	33
Source-free domain adaptation for image segmentation	33
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation	33
Longitudinal self-supervised learning	32
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images	32
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation	32
Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification	32
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography	32