Medical Image Analysis

Article	Citations
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning	679
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation	487
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation	356
Deep neural network models for computational histopathology: A survey	334
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis	325
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	309
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis	288
PadChest: A large chest x-ray image dataset with multi-label annotated reports	279
A survey on active learning and human-in-the-loop deep learning for medical image analysis	250
Recent advances and clinical applications of deep learning in medical image analysis	249
Loss odyssey in medical image segmentation	247
Accurate brain age prediction with lightweight deep neural networks	240
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	219
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results	213
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	212
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks	210
Deep learning for chest X-ray analysis: A survey	199
Transformers in medical imaging: A survey	195
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation	193
The Liver Tumor Segmentation Benchmark (LiTS)	192
Applications of deep learning in fundus images: A review	185
CS2-Net: Deep learning segmentation of curvilinear structures in	169
Skin lesion segmentation via generative adversarial networks with dual discriminators	162
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	158
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging	157

Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	153
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking	151
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	144
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation	144
Models Genesis	141
TransMorph: Transformer for unsupervised medical image registration	138
A survey on incorporating domain knowledge into deep learning for medical image analysis	131
Boundary loss for highly unbalanced segmentation	131
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images	126
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	122
Surgical data science – from concepts toward clinical translation	116
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge	114
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	112
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia	108
Supervised learning with cyclegan for low-dose FDG PET image denoising	102
CycleMorph: Cycle consistent unsupervised deformable image registration	102
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency	101
Federated learning for computational pathology on gigapixel whole slide images	100
Global guidance network for breast lesion segmentation in ultrasound images	97
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images	96
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization	95
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	93
Transformer-based unsupervised contrastive learning for histopathological image classification	92
Cellular community detection for tissue phenotyping in colorectal cancer histology images	92
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	91
Deep reinforcement learning in medical imaging: A literature review	91
ResGANet: Residual group attention network for medical image classification and segmentation	90
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer	88
COVID-AL: The diagnosis of COVID-19 with deep active learning	87
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides	86
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset	86
Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy	85
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification	85
Surgical spectral imaging	85
Rubik’s Cube+: A self-supervised feature learning framework for 3D medical image analysis	85
Score-based diffusion models for accelerated MRI	85
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation	82
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review	81
A survey on medical image analysis in diabetic retinopathy	80
Triple attention learning for classification of 14 thoracic diseases using chest radiography	80
Test-time adaptable neural networks for robust medical image segmentation	79
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation	77
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs	77
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction	75
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning	75
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations	74
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis	73
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks	73
Segment anything model for medical image analysis: An experimental study	73
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model	72

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification	71
Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images	71
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images	71
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy	70
Boundary-aware context neural network for medical image segmentation	70
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology	69
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease	69
NuClick: A deep learning framework for interactive segmentation of microscopic images	68
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study	66
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	64
Selective synthetic augmentation with HistoGAN for improved histopathology image classification	63
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers	62
Hierarchical graph representations in digital pathology	62
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
Capsules for biomedical image segmentation	62
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification	61
Diffusion models in medical imaging: A comprehensive survey	61
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation	61
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification	60
Semi-supervised task-driven data augmentation for medical image segmentation	60
Detection, segmentation, simulation and visualization of aortic dissections: A review	59
BIAS: Transparent reporting of biomedical image analysis challenges	59
Self-supervised driven consistency training for annotation efficient histopathology image analysis	58
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction	58
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set	58
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan	57
Marginal loss and exclusion loss for partially supervised multi-organ segmentation	56
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval	56
Deep learning for bone marrow cell detection and classification on whole-slide images	56
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining	55
Subsampled brain MRI reconstruction by generative adversarial neural networks	55
PAIP 2019: Liver cancer segmentation challenge	54
Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection	54
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images	54
Fully transformer network for skin lesion analysis	54
Integrative analysis for COVID-19 patient outcome prediction	53
Recent advances in medical image processing for the evaluation of chronic kidney disease	53
Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints	53
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images	52
ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network	52
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning	52
Roto-translation equivariant convolutional networks: Application to histopathology image analysis	52
Unsupervised lesion detection via image restoration with a normative prior	52
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks	52
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture	51
Hypergraph learning for identification of COVID-19 with CT imaging	51
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework	51
Structured layer surface segmentation for retina OCT using fully convolutional regression networks	50
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review	50
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos	50
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping	50
Residual cyclegan for robust domain transformation of histopathological tissue slides	49
Image computing for fibre-bundle endomicroscopy: A review	49
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	48
Semi-supervised WCE image classification with adaptive aggregated attention	48
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection	48
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning	48
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound	48
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19	47
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network	47
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis	47
Automated interpretation of congenital heart disease from multi-view echocardiograms	47
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans	47
Deep learning for predicting COVID-19 malignant progression	46
Unsupervised X-ray image segmentation with task driven generative adversarial networks	46
Trophectoderm segmentation in human embryo images via inceptioned U-Net	46
Cascaded convolutional networks for automatic cephalometric landmark detection	45
Mutual consistency learning for semi-supervised medical image segmentation	45
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate	45
Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy	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	45
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study	45
VR-Caps: A Virtual Environment for Capsule Endoscopy	44
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	44
A review on deep-learning algorithms for fetal ultrasound-image analysis	44
Directional-TV algorithm for image reconstruction from limited-angular-range data	44
Multi-constraint generative adversarial network for dose prediction in radiotherapy	44
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains	44
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks	43

SlideGraph+: Whole slide image level graphs to predict HER2 statu	43
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening	43
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography	43
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
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images	43
Mitosis domain generalization in histopathology images — The MIDOG challenge	42
Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information	42
Disentangle domain features for cross-modality cardiac image segmentation	42
A deep learning framework for quality assessment and restoration in video endoscopy	42
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	42
Deep metric learning for otitis media classification	42
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	42
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue	41
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs	41
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction	41
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation	41
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge	41
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis	41
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	40
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning	40
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography	40
Volumetric memory network for interactive medical image segmentation	39
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry	39
Uncertainty-aware domain alignment for anatomical structure segmentation	39
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	39
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment	39
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review	39
Knowledge matters: Chest radiology report generation with general and specific knowledge	39
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis	39
CNN-based lung CT registration with multiple anatomical constraints	39
Quantifying Parkinson’s disease motor severity under uncertainty using MDS-UPDRS videos	39
Deeply-supervised density regression for automatic cell counting in microscopy images	38
Autoencoder based self-supervised test-time adaptation for medical image analysis	38
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	38
CaDIS: Cataract dataset for surgical RGB-image segmentation	38
A deep-learning approach for direct whole-heart mesh reconstruction	38
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data	38
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching	38
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data	37
Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI	37
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers	37
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	36
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks	36
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network	36
SoftSeg: Advantages of soft versus binary training for image segmentation	36
A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data	36
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration	36
Integrating uncertainty in deep neural networks for MRI based stroke analysis	36
Deep low-Rank plus sparse network for dynamic MR imaging	35
Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem	35
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement	35
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography	35
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification	35
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes	35
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning	34
A unified framework for multimodal structure–function mapping based on eigenmodes	34
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge	34
Brain functional connectivity analysis based on multi-graph fusion	34
Deep triplet hashing network for case-based medical image retrieval	34
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences	33
Source free domain adaptation for medical image segmentation with fourier style mining	33
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers	33
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching	33
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke	33
MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network	32
Automatic skull defect restoration and cranial implant generation for cranioplasty	32
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels	32
Discriminative ensemble learning for few-shot chest x-ray diagnosis	32
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information	32
The HoloLens in medicine: A systematic review and taxonomy	32
Self-paced and self-consistent co-training for semi-supervised image segmentation	32
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	32
Guidelines and evaluation of clinical explainable AI in medical image analysis	32
Diverse data augmentation for learning image segmentation with cross-modality annotations	32
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI	32
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy	31
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images	31
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels	31
End-to-end multimodal image registration via reinforcement learning	31
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images	30
Longitudinal self-supervised learning	30
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes	30
Adaptive diffusion priors for accelerated MRI reconstruction	30
Robust deep learning-based semantic organ segmentation in hyperspectral images	30
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation	30
MommiNet-v2: Mammographic multi-view mass identification networks	30
Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers	30
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans	30
Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification	30
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis	30
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images	30
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system	30
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan	30
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition	29