Medical Image Analysis

Article	Citations
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning	720
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis	405
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis	375
Deep neural network models for computational histopathology: A survey	370
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	363
Recent advances and clinical applications of deep learning in medical image analysis	345
A survey on active learning and human-in-the-loop deep learning for medical image analysis	308
Loss odyssey in medical image segmentation	302
PadChest: A large chest x-ray image dataset with multi-label annotated reports	301
The Liver Tumor Segmentation Benchmark (LiTS)	295
Transformers in medical imaging: A survey	280
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	279
Accurate brain age prediction with lightweight deep neural networks	275
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	266
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results	242
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks	237
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation	237
Deep learning for chest X-ray analysis: A survey	230
Applications of deep learning in fundus images: A review	209
TransMorph: Transformer for unsupervised medical image registration	203
CS2-Net: Deep learning segmentation of curvilinear structures in m	193
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging	182
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	179
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	175
Models Genesis	167

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation	161
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking	159
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	159
Transformer-based unsupervised contrastive learning for histopathological image classification	159
A survey on incorporating domain knowledge into deep learning for medical image analysis	154
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	145
Boundary loss for highly unbalanced segmentation	144
Surgical data science – from concepts toward clinical translation	144
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	137
Segment anything model for medical image analysis: An experimental study	134
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency	134
CycleMorph: Cycle consistent unsupervised deformable image registration	128
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge	128
Score-based diffusion models for accelerated MRI	123
Federated learning for computational pathology on gigapixel whole slide images	116
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia	115
Supervised learning with cyclegan for low-dose FDG PET image denoising	115
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	113
Diffusion models in medical imaging: A comprehensive survey	112
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization	111
Global guidance network for breast lesion segmentation in ultrasound images	109
ResGANet: Residual group attention network for medical image classification and segmentation	109
Deep reinforcement learning in medical imaging: A literature review	108
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images	104
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining	99
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	99
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides	98
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer	98
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation	97
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning	96
COVID-AL: The diagnosis of COVID-19 with deep active learning	96
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification	95
Boundary-aware context neural network for medical image segmentation	95
Test-time adaptable neural networks for robust medical image segmentation	94
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review	94
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset	93
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations	92
Triple attention learning for classification of 14 thoracic diseases using chest radiography	89
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs	89
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	88
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation	88
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis	86
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction	85
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy	84
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model	83
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology	82
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval	81
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks	79
NuClick: A deep learning framework for interactive segmentation of microscopic images	77

Unsupervised brain imaging 3D anomaly detection and segmentation with transformers	77
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification	77
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge	76
Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images	76
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease	75
Self-supervised driven consistency training for annotation efficient histopathology image analysis	74
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification	73
Hierarchical graph representations in digital pathology	73
Mutual consistency learning for semi-supervised medical image segmentation	71
Semi-supervised task-driven data augmentation for medical image segmentation	71
Capsules for biomedical image segmentation	71
Selective synthetic augmentation with HistoGAN for improved histopathology image classification	70
Marginal loss and exclusion loss for partially supervised multi-organ segmentation	70
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study	69
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation	69
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction	69
Detect and correct bias in multi-site neuroimaging datasets	68
Deep learning for bone marrow cell detection and classification on whole-slide images	67
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification	67
Detection, segmentation, simulation and visualization of aortic dissections: A review	66
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation	66
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	65
Fully transformer network for skin lesion analysis	65
Subsampled brain MRI reconstruction by generative adversarial neural networks	65
PAIP 2019: Liver cancer segmentation challenge	64
BIAS: Transparent reporting of biomedical image analysis challenges	64
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set	64
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images	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	61
Recent advances in medical image processing for the evaluation of chronic kidney disease	61
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks	60
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images	59
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture	59
Structured layer surface segmentation for retina OCT using fully convolutional regression networks	59
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review	58
Volumetric memory network for interactive medical image segmentation	58
ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network	58
A review on deep-learning algorithms for fetal ultrasound-image analysis	58
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos	57
SlideGraph+: Whole slide image level graphs to predict HER2 status	57
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan	57
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans	57
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
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
Cascaded convolutional networks for automatic cephalometric landmark detection	56
Roto-translation equivariant convolutional networks: Application to histopathology image analysis	55
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	55
Segment anything model for medical images?	55
Multi-constraint generative adversarial network for dose prediction in radiotherapy	55
Integrative analysis for COVID-19 patient outcome prediction	55
Residual cyclegan for robust domain transformation of histopathological tissue slides	54
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening	54
A deep learning framework for quality assessment and restoration in video endoscopy	54
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate	54
Directional-TV algorithm for image reconstruction from limited-angular-range data	52
Mitosis domain generalization in histopathology images — The MIDOG challenge	52
Automated interpretation of congenital heart disease from multi-view echocardiograms	51
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19	51
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	51
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography	51
Quantifying Parkinson’s disease motor severity under uncertainty using MDS-UPDRS videos	51
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis	51
Adaptive diffusion priors for accelerated MRI reconstruction	51
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	50
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review	50
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification	49
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
The HoloLens in medicine: A systematic review and taxonomy	48
Source free domain adaptation for medical image segmentation with fourier style mining	48
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue	48
Disentangle domain features for cross-modality cardiac image segmentation	48
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching	48
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment	48
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels	48
Knowledge matters: Chest radiology report generation with general and specific knowledge	48
CNN-based lung CT registration with multiple anatomical constraints	47
VR-Caps: A Virtual Environment for Capsule Endoscopy	47

Autoencoder based self-supervised test-time adaptation for medical image analysis	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
A deep-learning approach for direct whole-heart mesh reconstruction	47
Guidelines and evaluation of clinical explainable AI in medical image analysis	46
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy	46
Deep metric learning for otitis media classification	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
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks	45
Deep low-Rank plus sparse network for dynamic MR imaging	45
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry	45
Dual-stream pyramid registration network	45
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data	45
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis	45
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning	45
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography	45
Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information	45
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction	44
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	44
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	43
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan	43
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement	43
Deeply-supervised density regression for automatic cell counting in microscopy images	43
Integrating uncertainty in deep neural networks for MRI based stroke analysis	43
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network	42
MommiNet-v2: Mammographic multi-view mass identification networks	42
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	42
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	42
CaDIS: Cataract dataset for surgical RGB-image segmentation	42
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers	42
Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers	41
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans	41
Deep learning for computational cytology: A survey	41
SoftSeg: Advantages of soft versus binary training for image segmentation	41
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke	41
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image	41
SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images	40
A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data	40
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge	40
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	40
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI	40
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	39
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography	39
Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem	39
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels	39
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes	39
Robust deep learning-based semantic organ segmentation in hyperspectral images	39
Automatic skull defect restoration and cranial implant generation for cranioplasty	39
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching	39
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration	38
Deep triplet hashing network for case-based medical image retrieval	38
Brain functional connectivity analysis based on multi-graph fusion	38
Diverse data augmentation for learning image segmentation with cross-modality annotations	38
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification	38
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy	38
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes	38
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning	37
A unified framework for multimodal structure–function mapping based on eigenmodes	37
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis	37
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup 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
Self-paced and self-consistent co-training for semi-supervised image segmentation	36
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis	36
Quantifying and leveraging predictive uncertainty for medical image assessment	36
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information	36
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences	35
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images	35
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system	35
End-to-end multimodal image registration via reinforcement learning	35
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced 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
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
Discriminative ensemble learning for few-shot chest x-ray diagnosis	35
Source-free domain adaptation for image segmentation	35
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework	35
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation	35
Weakly supervised object detection with 2D and 3D regression neural networks	34
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography	34
Predicting brain structural network using functional connectivity	34
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	34
Boundary-rendering network for breast lesion segmentation in ultrasound images	34
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images	34
A survey on deep learning for skin lesion segmentation	34
Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions	33
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition	33
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images	33
Longitudinal self-supervised learning	33
Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification	33
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation	33
Towards evaluating the robustness of deep diagnostic models by adversarial attack	33
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI	32
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images	32