Medical Image Analysis

Article	Citations
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning	710
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation	519
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation	385
Deep neural network models for computational histopathology: A survey	356
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis	351
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis	345
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	334
PadChest: A large chest x-ray image dataset with multi-label annotated reports	290
Recent advances and clinical applications of deep learning in medical image analysis	289
A survey on active learning and human-in-the-loop deep learning for medical image analysis	281
Loss odyssey in medical image segmentation	278
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	264
Accurate brain age prediction with lightweight deep neural networks	255
The Liver Tumor Segmentation Benchmark (LiTS)	250
Transformers in medical imaging: A survey	236
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results	229
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	227
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks	224
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation	214
Deep learning for chest X-ray analysis: A survey	212
Applications of deep learning in fundus images: A review	199
CS2-Net: Deep learning segmentation of curvilinear structures in	180
TransMorph: Transformer for unsupervised medical image registration	174
Skin lesion segmentation via generative adversarial networks with dual discriminators	168
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	167

Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	164
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging	163
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking	155
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation	154
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	151
Models Genesis	150
A survey on incorporating domain knowledge into deep learning for medical image analysis	139
Boundary loss for highly unbalanced segmentation	137
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	137
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images	133
Surgical data science – from concepts toward clinical translation	131
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	128
Transformer-based unsupervised contrastive learning for histopathological image classification	120
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge	119
CycleMorph: Cycle consistent unsupervised deformable image registration	116
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency	115
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia	110
Supervised learning with cyclegan for low-dose FDG PET image denoising	106
Federated learning for computational pathology on gigapixel whole slide images	106
ResGANet: Residual group attention network for medical image classification and segmentation	104
Global guidance network for breast lesion segmentation in ultrasound images	103
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images	100
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization	100
Deep reinforcement learning in medical imaging: A literature review	100
Cellular community detection for tissue phenotyping in colorectal cancer histology images	99
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	98
Segment anything model for medical image analysis: An experimental study	96
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	95
Rubik’s Cube+: A self-supervised feature learning framework for 3D medical image analysis	92
COVID-AL: The diagnosis of COVID-19 with deep active learning	92
Score-based diffusion models for accelerated MRI	91
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification	91
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer	89
Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy	88
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation	88
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset	87
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides	87
Surgical spectral imaging	86
Triple attention learning for classification of 14 thoracic diseases using chest radiography	85
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review	85
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning	85
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations	84
Diffusion models in medical imaging: A comprehensive survey	83
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs	83
Test-time adaptable neural networks for robust medical image segmentation	82
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model	81
Boundary-aware context neural network for medical image segmentation	81
A survey on medical image analysis in diabetic retinopathy	81
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation	80
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis	79

End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction	78
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy	77
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks	76
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining	76
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology	75
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images	75
Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images	75
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease	74
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification	73
NuClick: A deep learning framework for interactive segmentation of microscopic images	73
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge	71
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	71
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers	70
Semi-supervised task-driven data augmentation for medical image segmentation	68
Marginal loss and exclusion loss for partially supervised multi-organ segmentation	68
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval	67
Hierarchical graph representations in digital pathology	67
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study	66
Self-supervised driven consistency training for annotation efficient histopathology image analysis	66
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification	66
Selective synthetic augmentation with HistoGAN for improved histopathology image classification	65
BIAS: Transparent reporting of biomedical image analysis challenges	63
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification	63
Detection, segmentation, simulation and visualization of aortic dissections: A review	63
Capsules for biomedical image segmentation	63
Detect and correct bias in multi-site neuroimaging datasets	63
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction	63
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification	62
Deep learning for bone marrow cell detection and classification on whole-slide images	62
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation	62
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set	61
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images	61
Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection	60
Subsampled brain MRI reconstruction by generative adversarial neural networks	60
PAIP 2019: Liver cancer segmentation challenge	59
Fully transformer network for skin lesion analysis	58
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan	57
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture	56
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation	56
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework	56
Hypergraph learning for identification of COVID-19 with CT imaging	56
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks	56
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	55
Recent advances in medical image processing for the evaluation of chronic kidney disease	55
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review	55
Unsupervised lesion detection via image restoration with a normative prior	55
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images	55
Integrative analysis for COVID-19 patient outcome prediction	55
Structured layer surface segmentation for retina OCT using fully convolutional regression networks	55
Mutual consistency learning for semi-supervised medical image segmentation	55
Roto-translation equivariant convolutional networks: Application to histopathology image analysis	55
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning	54
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping	53
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans	53
ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network	53
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection	52
Residual cyclegan for robust domain transformation of histopathological tissue slides	52
A review on deep-learning algorithms for fetal ultrasound-image analysis	52
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos	52
SlideGraph+: Whole slide image level graphs to predict HER2 status	52
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	51
Semi-supervised WCE image classification with adaptive aggregated attention	50
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19	50
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound	50
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning	49
Mitosis domain generalization in histopathology images — The MIDOG challenge	49
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis	49
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network	49
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening	49
Cascaded convolutional networks for automatic cephalometric landmark detection	49
Directional-TV algorithm for image reconstruction from limited-angular-range data	49
Multi-constraint generative adversarial network for dose prediction in radiotherapy	48
Automated interpretation of congenital heart disease from multi-view echocardiograms	48
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate	47
Volumetric memory network for interactive medical image segmentation	47
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review	47
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	46
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images	46
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy	46
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography	46

A deep learning framework for quality assessment and restoration in video endoscopy	46
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	46
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study	46
Deep learning for predicting COVID-19 malignant progression	46
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	45
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction	44
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation	44
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue	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
A deep-learning approach for direct whole-heart mesh reconstruction	44
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks	43
Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information	43
Knowledge matters: Chest radiology report generation with general and specific knowledge	43
Quantifying Parkinson’s disease motor severity under uncertainty using MDS-UPDRS videos	43
Deep metric learning for otitis media classification	43
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis	43
Uncertainty-aware domain alignment for anatomical structure segmentation	43
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	42
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	42
Autoencoder based self-supervised test-time adaptation for medical image analysis	42
Disentangle domain features for cross-modality cardiac image segmentation	42
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching	42
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment	42
Integrating uncertainty in deep neural networks for MRI based stroke analysis	42
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography	41
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network	41
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks	41
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data	41
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry	40
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels	40
CaDIS: Cataract dataset for surgical RGB-image segmentation	40
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis	40
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification	40
The HoloLens in medicine: A systematic review and taxonomy	40
Deeply-supervised density regression for automatic cell counting in microscopy images	39
Source free domain adaptation for medical image segmentation with fourier style mining	39
A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data	39
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	39
SoftSeg: Advantages of soft versus binary training for image segmentation	39
Deep low-Rank plus sparse network for dynamic MR imaging	39
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers	39
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	39
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data	38
Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers	38
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement	38
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge	38
Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem	38
Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI	38
Adaptive diffusion priors for accelerated MRI reconstruction	38
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes	37
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning	36
Guidelines and evaluation of clinical explainable AI in medical image analysis	36
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography	36
MommiNet-v2: Mammographic multi-view mass identification networks	36
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration	36
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke	36
Deep triplet hashing network for case-based medical image retrieval	36
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	35
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy	35
Automatic skull defect restoration and cranial implant generation for cranioplasty	35
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI	35
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels	35
SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images	35
Segment anything model for medical images?	35
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers	35
MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network	35
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching	35
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	34
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans	34
Brain functional connectivity analysis based on multi-graph fusion	34
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan	34
Dual-stream pyramid registration network	34
A unified framework for multimodal structure–function mapping based on eigenmodes	34
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis	33
Self-paced and self-consistent co-training for semi-supervised image segmentation	33
Weakly supervised object detection with 2D and 3D regression neural networks	33
End-to-end multimodal image registration via reinforcement learning	33
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences	33
Diverse data augmentation for learning image segmentation with cross-modality annotations	33
Robust deep learning-based semantic organ segmentation in hyperspectral images	33
Quantifying and leveraging predictive uncertainty for medical image assessment	32
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography	32
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image	32
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis	32
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information	32
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system	32
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images	32
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images	32
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation	32
Longitudinal self-supervised learning	32
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition	32
An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms	32
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis	32