Medical Image Analysis

Article	Citations
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning	723
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis	426
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis	384
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	381
Deep neural network models for computational histopathology: A survey	378
Recent advances and clinical applications of deep learning in medical image analysis	363
The Liver Tumor Segmentation Benchmark (LiTS)	322
Loss odyssey in medical image segmentation	312
A survey on active learning and human-in-the-loop deep learning for medical image analysis	312
PadChest: A large chest x-ray image dataset with multi-label annotated reports	309
Transformers in medical imaging: A survey	305
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	289
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	283
Accurate brain age prediction with lightweight deep neural networks	280
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks	252
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results	248
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation	247
Deep learning for chest X-ray analysis: A survey	236
TransMorph: Transformer for unsupervised medical image registration	225
Applications of deep learning in fundus images: A review	214
CS2-Net: Deep learning segmentation of curvilinear structures in m	194
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging	193
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	188
Transformer-based unsupervised contrastive learning for histopathological image classification	185
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	177

Models Genesis	175
Segment anything model for medical image analysis: An experimental study	166
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation	162
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	162
A survey on incorporating domain knowledge into deep learning for medical image analysis	161
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking	159
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	151
Surgical data science – from concepts toward clinical translation	149
Boundary loss for highly unbalanced segmentation	144
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency	140
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	140
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images	139
Score-based diffusion models for accelerated MRI	139
CycleMorph: Cycle consistent unsupervised deformable image registration	137
Diffusion models in medical imaging: A comprehensive survey	130
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge	129
Supervised learning with cyclegan for low-dose FDG PET image denoising	120
Federated learning for computational pathology on gigapixel whole slide images	119
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia	115
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization	114
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	114
Global guidance network for breast lesion segmentation in ultrasound images	113
ResGANet: Residual group attention network for medical image classification and segmentation	112
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining	111
Deep reinforcement learning in medical imaging: A literature review	109
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images	107
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	102
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning	101
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer	100
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation	99
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification	99
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review	99
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides	99
Test-time adaptable neural networks for robust medical image segmentation	99
Boundary-aware context neural network for medical image segmentation	97
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset	97
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	96
COVID-AL: The diagnosis of COVID-19 with deep active learning	96
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs	94
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations	93
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation	90
Triple attention learning for classification of 14 thoracic diseases using chest radiography	89
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology	88
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval	87
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction	87
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis	86
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model	86
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy	84
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers	83
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks	81

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge	80
Mutual consistency learning for semi-supervised medical image segmentation	80
Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images	78
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease	77
NuClick: A deep learning framework for interactive segmentation of microscopic images	77
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification	77
Marginal loss and exclusion loss for partially supervised multi-organ segmentation	76
Hierarchical graph representations in digital pathology	76
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification	74
Self-supervised driven consistency training for annotation efficient histopathology image analysis	74
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation	74
Segment anything model for medical images?	73
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	72
Capsules for biomedical image segmentation	71
Semi-supervised task-driven data augmentation for medical image segmentation	71
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction	70
Selective synthetic augmentation with HistoGAN for improved histopathology image classification	70
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study	70
Detect and correct bias in multi-site neuroimaging datasets	70
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification	69
Detection, segmentation, simulation and visualization of aortic dissections: A review	67
Deep learning for bone marrow cell detection and classification on whole-slide images	67
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images	66
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation	66
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set	65
Fully transformer network for skin lesion analysis	65
Subsampled brain MRI reconstruction by generative adversarial neural networks	65
A review on deep-learning algorithms for fetal ultrasound-image analysis	64
BIAS: Transparent reporting of biomedical image analysis challenges	64
PAIP 2019: Liver cancer segmentation challenge	64
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos	63
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification	63
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning	63
Recent advances in medical image processing for the evaluation of chronic kidney disease	62
SlideGraph+: Whole slide image level graphs to predict HER2 status	61
Structured layer surface segmentation for retina OCT using fully convolutional regression networks	61
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks	60
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture	60
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images	60
Adaptive diffusion priors for accelerated MRI reconstruction	59
Volumetric memory network for interactive medical image segmentation	58
ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network	58
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review	58
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans	58
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping	57
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework	57
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan	57
Multi-constraint generative adversarial network for dose prediction in radiotherapy	56
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network	56
Hypergraph learning for identification of COVID-19 with CT imaging	56
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	56
Cascaded convolutional networks for automatic cephalometric landmark detection	56
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening	55
Mitosis domain generalization in histopathology images — The MIDOG challenge	55
Residual cyclegan for robust domain transformation of histopathological tissue slides	55
Roto-translation equivariant convolutional networks: Application to histopathology image analysis	55
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate	55
Integrative analysis for COVID-19 patient outcome prediction	55
A deep learning framework for quality assessment and restoration in video endoscopy	54
Dual-stream pyramid registration network	54
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography	52
Directional-TV algorithm for image reconstruction from limited-angular-range data	52
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis	52
Quantifying Parkinson’s disease motor severity under uncertainty using MDS-UPDRS videos	52
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19	51
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching	51
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification	51
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis	51
Knowledge matters: Chest radiology report generation with general and specific knowledge	51
Automated interpretation of congenital heart disease from multi-view echocardiograms	51
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review	51
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	51
Disentangle domain features for cross-modality cardiac image segmentation	50
A deep-learning approach for direct whole-heart mesh reconstruction	50
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment	50
Source free domain adaptation for medical image segmentation with fourier style mining	50
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	50
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels	50
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy	49
Deep low-Rank plus sparse network for dynamic MR imaging	49

VR-Caps: A Virtual Environment for Capsule Endoscopy	48
Deep learning for predicting COVID-19 malignant progression	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	48
Guidelines and evaluation of clinical explainable AI in medical image analysis	48
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue	48
The HoloLens in medicine: A systematic review and taxonomy	48
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study	47
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image	47
Autoencoder based self-supervised test-time adaptation for medical image analysis	47
Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information	47
CNN-based lung CT registration with multiple anatomical constraints	47
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images	47
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry	46
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks	46
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks	46
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data	46
Deep metric learning for otitis media classification	46
Integrating uncertainty in deep neural networks for MRI based stroke analysis	45
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography	45
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning	45
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction	45
MommiNet-v2: Mammographic multi-view mass identification networks	44
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	44
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	44
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement	43
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	43
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan	43
CaDIS: Cataract dataset for surgical RGB-image segmentation	43
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	43
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	43
Deeply-supervised density regression for automatic cell counting in microscopy images	43
SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images	43
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans	43
Deep learning for computational cytology: A survey	42
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke	42
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network	42
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers	42
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge	41
SoftSeg: Advantages of soft versus binary training for image segmentation	41
Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers	41
Source-free domain adaptation for image segmentation	40
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI	40
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	40
A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data	40
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning	39
Automatic skull defect restoration and cranial implant generation for cranioplasty	39
Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem	39
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration	39
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy	39
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes	39
Robust deep learning-based semantic organ segmentation in hyperspectral images	39
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels	39
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography	39
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching	39
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification	39
Diverse data augmentation for learning image segmentation with cross-modality annotations	38
Brain functional connectivity analysis based on multi-graph fusion	38
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes	38
Deep triplet hashing network for case-based medical image retrieval	38
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers	37
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system	37
A survey on deep learning for skin lesion segmentation	37
A unified framework for multimodal structure–function mapping based on eigenmodes	37
Boundary-rendering network for breast lesion segmentation in ultrasound images	37
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography	37
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation	37
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis	37
Quantifying and leveraging predictive uncertainty for medical image assessment	37
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework	37
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation	37
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images	36
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information	36
Self-paced and self-consistent co-training for semi-supervised image segmentation	36
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis	36
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation	36
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	36
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images	36
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis	36
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation	36
Predicting brain structural network using functional connectivity	35
End-to-end multimodal image registration via reinforcement learning	35
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences	35
Learning disentangled representations in the imaging domain	35
An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms	35
Towards evaluating the robustness of deep diagnostic models by adversarial attack	35
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images	35
Discriminative ensemble learning for few-shot chest x-ray diagnosis	35
Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions	34
Weakly supervised object detection with 2D and 3D regression neural networks	34
3D vessel-like structure segmentation in medical images by an edge-reinforced network	34
Longitudinal self-supervised learning	34
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images	34
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images	34
Dynamic MRI reconstruction with end-to-end motion-guided network	34
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI	33