Medical Image Analysis

Article	Citations
Generative adversarial network in medical imaging: A review	787
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning	593
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images	386
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation	372
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation	278
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs	273
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology	246
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis	243
Self-supervised learning for medical image analysis using image context restoration	240
Deep neural network models for computational histopathology: A survey	226
PadChest: A large chest x-ray image dataset with multi-label annotated reports	212
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	198
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation	175
Accurate brain age prediction with lightweight deep neural networks	172
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge	157
A survey on active learning and human-in-the-loop deep learning for medical image analysis	156
Loss odyssey in medical image segmentation	155
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces	150
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	147
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results	146
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks	143
Skin lesion segmentation via generative adversarial networks with dual discriminators	138
IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge	131
Applications of deep learning in fundus images: A review	130
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking	130

Deep learning for chest X-ray analysis: A survey	129
Segmentation of breast ultrasound image with semantic classification of superpixels	127
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis	126
Deep vessel segmentation by learning graphical connectivity	117
CS2-Net: Deep learning segmentation of curvilinear structures in	114
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	113
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	109
Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT	109
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks	105
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	103
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	101
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification	101
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation	101
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images	101
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation	99
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging	96
Models Genesis	94
Recent advances and clinical applications of deep learning in medical image analysis	94
Multi-task recurrent convolutional network with correlation loss for surgical video analysis	93
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia	93
A survey on incorporating domain knowledge into deep learning for medical image analysis	91
Combined tract segmentation and orientation mapping for bundle-specific tractography	88
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge	88
Disentangled representation learning in cardiac image analysis	87
Adversarial learning for mono- or multi-modal registration	82
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	79
Learning to detect lymphocytes in immunohistochemistry with deep learning	79
Boundary loss for highly unbalanced segmentation	79
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps	77
TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set	76
Supervised learning with cyclegan for low-dose FDG PET image denoising	74
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease	73
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	72
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization	69
COVID-AL: The diagnosis of COVID-19 with deep active learning	69
Surgical spectral imaging	69
A survey on medical image analysis in diabetic retinopathy	68
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	67
CycleMorph: Cycle consistent unsupervised deformable image registration	67
Rubik’s Cube+: A self-supervised feature learning framework for 3D medical image analysis	67
Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks	66
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset	65
Cellular community detection for tissue phenotyping in colorectal cancer histology images	65
Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy	64
Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images	63
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images	62
Global guidance network for breast lesion segmentation in ultrasound images	62
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs	61
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks	61
Federated learning for computational pathology on gigapixel whole slide images	60

Triple attention learning for classification of 14 thoracic diseases using chest radiography	60
Surgical data science – from concepts toward clinical translation	58
Multi-task learning for quality assessment of fetal head ultrasound images	58
Deep reinforcement learning in medical imaging: A literature review	58
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer	57
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction	56
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification	55
ResGANet: Residual group attention network for medical image classification and segmentation	55
‘Squeeze & excite’ guided few-shot segmentation of volumetric images	54
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images	54
TransMorph: Transformer for unsupervised medical image registration	53
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan	53
Test-time adaptable neural networks for robust medical image segmentation	53
NuClick: A deep learning framework for interactive segmentation of microscopic images	53
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease	52
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization	52
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides	51
Simulation of hyperelastic materials in real-time using deep learning	51
Atrial scar quantification via multi-scale CNN in the graph-cuts framework	51
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks	51
Learning the implicit strain reconstruction in ultrasound elastography using privileged information	51
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review	50
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis	50
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification	50
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study	50
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network	50
Detect and correct bias in multi-site neuroimaging datasets	49
Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species	49
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning	49
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy	49
Multi-task learning for the segmentation of organs at risk with label dependence	49
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation	49
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images	49
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation	48
The Liver Tumor Segmentation Benchmark (LiTS)	48
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification	47
Accurate automated Cobb angles estimation using multi-view extrapolation net	47
Capsules for biomedical image segmentation	47
Integrative analysis for COVID-19 patient outcome prediction	47
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images	46
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images	46
Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images	46
Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection	46
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data	46
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification	45
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation	45
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	45
Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints	45
BIAS: Transparent reporting of biomedical image analysis challenges	44
Selective synthetic augmentation with HistoGAN for improved histopathology image classification	44
Semi-supervised WCE image classification with adaptive aggregated attention	43
Domain-invariant interpretable fundus image quality assessment	43
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks	42
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	42
Automatic detection of rare pathologies in fundus photographs using few-shot learning	42
Semi-supervised task-driven data augmentation for medical image segmentation	42
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model	42
Recent advances in medical image processing for the evaluation of chronic kidney disease	41
Detection, segmentation, simulation and visualization of aortic dissections: A review	41
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification	41
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration	41
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study	40
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations	40
ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network	39
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set	39
Hypergraph learning for identification of COVID-19 with CT imaging	39
Roto-translation equivariant convolutional networks: Application to histopathology image analysis	39
Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening	39
Subsampled brain MRI reconstruction by generative adversarial neural networks	39
Unsupervised lesion detection via image restoration with a normative prior	39
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review	39
Unsupervised X-ray image segmentation with task driven generative adversarial networks	39
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping	39
PAIP 2019: Liver cancer segmentation challenge	39
Deep learning for predicting COVID-19 malignant progression	39
Automated age estimation from MRI volumes of the hand	38
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture	38
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning	38
Self-supervised driven consistency training for annotation efficient histopathology image analysis	38
Marginal loss and exclusion loss for partially supervised multi-organ segmentation	38

Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach	38
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection	38
Boundary-aware context neural network for medical image segmentation	38
Detecting genetic associations with brain imaging phenotypes in Alzheimer’s disease via a novel structured SCCA approach	37
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound	37
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology	37
Hierarchical graph representations in digital pathology	37
Automated interpretation of congenital heart disease from multi-view echocardiograms	36
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework	36
Structured layer surface segmentation for retina OCT using fully convolutional regression networks	36
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction	36
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images	36
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis	36
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks	35
SDCT-AuxNet : DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis	35
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping	35
Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks	35
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease	35
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning	34
Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy	34
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network	34
Deep learning for bone marrow cell detection and classification on whole-slide images	34
Residual cyclegan for robust domain transformation of histopathological tissue slides	33
Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information	33
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs	33
Trophectoderm segmentation in human embryo images via inceptioned U-Net	33
Image computing for fibre-bundle endomicroscopy: A review	33
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains	33
Cascaded convolutional networks for automatic cephalometric landmark detection	32
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate	32
Estimation of connectional brain templates using selective multi-view network normalization	32
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography	32
Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography	32
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers	32
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19	32
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning	32
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis	31
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	31
Transformers in medical imaging: A survey	31
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency	31
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy	30
Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI	30
A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data	30
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data	30
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation	30
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning	30
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning	30
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography	30
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	29
Uncertainty-aware domain alignment for anatomical structure segmentation	29
Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem	29
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers	29
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation	29
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks	29
SoftSeg: Advantages of soft versus binary training for image segmentation	29
A deep learning framework for quality assessment and restoration in video endoscopy	29
A unified framework for multimodal structure–function mapping based on eigenmodes	29
VR-Caps: A Virtual Environment for Capsule Endoscopy	28
Brain functional connectivity analysis based on multi-graph fusion	28
A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data	28
CNN-based lung CT registration with multiple anatomical constraints	28
MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network	28
Directional-TV algorithm for image reconstruction from limited-angular-range data	28
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis	28
Disentangle domain features for cross-modality cardiac image segmentation	27
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes	27
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans	27
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge	27
Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks	27
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration	26
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis	26
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	26
Multi-constraint generative adversarial network for dose prediction in radiotherapy	26
Angle-closure assessment in anterior segment OCT images via deep learning	26
Quantifying Parkinson’s disease motor severity under uncertainty using MDS-UPDRS videos	26
A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy	26
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	26
Fully transformer network for skin lesion analysis	26
Deep metric learning for otitis media classification	26
Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation	25
Volumetric memory network for interactive medical image segmentation	25
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction	25
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI	25
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network	25
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information	25
Score-based diffusion models for accelerated MRI	25
Transformer-based unsupervised contrastive learning for histopathological image classification	25
Deeply-supervised density regression for automatic cell counting in microscopy images	25
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review	25
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences	25
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	24
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences	24
A deep-learning approach for direct whole-heart mesh reconstruction	24
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks	24
End-to-end multimodal image registration via reinforcement learning	24
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement	24
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry	24
Integrating uncertainty in deep neural networks for MRI based stroke analysis	24
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images	24
Discriminative ensemble learning for few-shot chest x-ray diagnosis	24
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images	24
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching	24
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning	23
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis	23
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts	23
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography	23
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation	23
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis	23
Super-Resolved q-Space deep learning with uncertainty quantification	23
Model-informed machine learning for multi-component T2 relax	23
SlideGraph+: Whole slide image level graphs to predict HER2 statu	23
CaDIS: Cataract dataset for surgical RGB-image segmentation	23
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis	23
Diverse data augmentation for learning image segmentation with cross-modality annotations	23
Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification	23
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning	22
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening	22
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge	22
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment	22
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation	22
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes	22
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography	22
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers	22
Quantifying and leveraging predictive uncertainty for medical image assessment	22
Deep triplet hashing network for case-based medical image retrieval	22
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	22
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification	22
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data	22
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy	22
MommiNet-v2: Mammographic multi-view mass identification networks	22
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching	22
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos	21
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation	21
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review	21
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke	21
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data	21
Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering	21
Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks	21
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction	21
Weakly supervised object detection with 2D and 3D regression neural networks	20
A deep community based approach for large scale content based X-ray image retrieval	20
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure	20
Cross-attention multi-branch network for fundus diseases classification using SLO images	20
Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions	20
Deep learning based HEp-2 image classification: A comprehensive review	20

Self-paced and self-consistent co-training for semi-supervised image segmentation	20
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis	20
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval	20
Automatic skull defect restoration and cranial implant generation for cranioplasty	20
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions	20
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration	20
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan	20
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	20
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy	19
Deep low-Rank plus sparse network for dynamic MR imaging	19
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation	19
Clinical validation of saliency maps for understanding deep neural networks in ophthalmology	19
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification	19
Texture preservation and speckle reduction in poor optical coherence tomography using the convolutional neural network	19
Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks	19
An improved deep network for tissue microstructure estimation with uncertainty quantification	19
Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images	19
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images	19
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation	19
Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network	19
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs	19
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos	19
Multi-scale graph-based grading for Alzheimer’s disease prediction	19
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis	19
Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network	19
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images	19
Autoencoder based self-supervised test-time adaptation for medical image analysis	19
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	19
Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks	19
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module	19
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition	19
Removing segmentation inconsistencies with semi-supervised non-adjacency constraint	19
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI	18
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net)	18
Unifying neural learning and symbolic reasoning for spinal medical report generation	18
Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers	18
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	18
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis	18
A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI	18
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors	18
Holistic decomposition convolution for effective semantic segmentation of medical volume images	18
Hierarchical spherical deformation for cortical surface registration	18
Learning to synthesise the ageing brain without longitudinal data	18
Dynamic MRI reconstruction with end-to-end motion-guided network	17
Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting	17
Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs	17
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier	17
Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy	17
Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning	17
Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism	17
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing	17
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening	17
Evaluation of a novel navigation platform for laparoscopic liver surgery with organ deformation compensation using injected fiducials	17
Mutual consistency learning for semi-supervised medical image segmentation	17
Automated ultrasound assessment of amniotic fluid index using deep learning	17
A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis	17
Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies	17
Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues	17
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network	17
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework	17
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning	17
Filtering in tractography using autoencoders (FINTA)	17
Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization	16
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation	16
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI	16
Mitosis domain generalization in histopathology images — The MIDOG challenge	16
Relax and focus on brain tumor segmentation	16
Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter	16
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI	16
Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization	16
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks	16
Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator	16
Longitudinal self-supervised learning	16
Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior	16
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images	16
High-resolution 3D abdominal segmentation with random patch network fusion	16
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method	16
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels	16
A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations	16
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	16
Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction	16
Phenotype discovery from population brain imaging	16
Learning disentangled representations in the imaging domain	16
An automatic genetic algorithm framework for the optimization of three-dimensional surgical plans of forearm corrective osteotomies	16
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	15
Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks	15
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging	15
Automated characterization of noise distributions in diffusion MRI data	15
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach	15
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation	15
Contour proposal networks for biomedical instance segmentation	15
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis	15
A computational Framework for generating rotation invariant features and its application in diffusion MRI	15
Dual-stream pyramid registration network	15
Robust deep learning-based semantic organ segmentation in hyperspectral images	15
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping	15
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder	15
Towards evaluating the robustness of deep diagnostic models by adversarial attack	15
Time-distanced gates in long short-term memory networks	15
SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data	15
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge	14
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation	14
Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation	14
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels	14
Deep learning-based solvability of underdetermined inverse problems in medical imaging	14
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy	14
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks	14
Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization	14
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images	14
Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph	14
Inference of ventricular activation properties from non-invasive electrocardiography	14
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system	14
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment	14
Cobiveco: Consistent biventricular coordinates for precise and intuitive description of position in the heart – with MATLAB implementation	14
Comparison of non-parametric T2 relaxometry methods for myelin water quantification	14
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning	14
Recovering from missing data in population imaging – Cardiac MR image imputation via conditional generative adversarial nets	14
Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions	14
Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance	14
Using synthetic data generation to train a cardiac motion tag tracking neural network	14
A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory	14
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge	14
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings	14
Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain	13
Towards improved breast mass detection using dual-view mammogram matching	13
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data	13
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging	13
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	13
The state-of-the-art in ultrasound-guided spine interventions	13
A review on deep-learning algorithms for fetal ultrasound-image analysis	13
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	13
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets	13
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images	13
Hierarchical Bayesian myocardial perfusion quantification	13
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling	13
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation	13
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework	12
Pancreas segmentation using a dual-input v-mesh network	12
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information	12
Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss	12
Artificial neural networks for magnetic resonance elastography stiffness estimation in inhomogeneous materials	12
Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images	12
Learning metal artifact reduction in cardiac CT images with moving pacemakers	12
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework	12
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation	12
DeepHCS++: Bright-field to	12
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue	12
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation	12
High-dimensional embedding network derived prior for compressive sensing MRI reconstruction	12
Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models	12
An integrated deep learning framework for joint segmentation of blood pool and myocardium	12
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge	12
Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scans	12
Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition	12
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation	12
Combining unsupervised and supervised learning for predicting the final stroke lesion	12
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge	12
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation	12
APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation	12
Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning	12
Predicting brain structural network using functional connectivity	11
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion	11
Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments	11
Discovering common change-point patterns in functional connectivity across subjects	11
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation	11
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images	11
Clever Hans effect found in a widely used brain tumour MRI dataset	11
A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation	11
Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy	11
DDTNet: A dense dual-task network for tumor-infiltrating lymphocyte detection and segmentation in histopathological images of breast cancer	11
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks	11
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement	11
Temporal non-local means filtering for studies of intrinsic brain connectivity from individual resting fMRI	11
Meta grayscale adaptive network for 3D integrated renal structures segmentation	11
Weakly-supervised progressive denoising with unpaired CT images	11
Visually Navigated Bronchoscopy using three cycle-Consistent generative adversarial network for depth estimation	11
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation	11
Focused Attention in Transformers for interpretable classification of retinal images	11
Graph refinement based airway extraction using mean-field networks and graph neural networks	11
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks	11
Automatic detection of landmarks for the analysis of a reduction of supracondylar fractures of the humerus	10
W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data	10
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia	10
Artifact- and content-specific quality assessment for MRI with image rulers	10
A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans	10
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation	10
Real-time multimodal image registration with partial intraoperative point-set data	10
An integrated time adaptive geographic atrophy prediction model for SD-OCT images	10
TW-GAN: Topology and width aware GAN for retinal artery/vein classification	10
Learning to map 2D ultrasound images into 3D space with minimal human annotation	10
Image registration: Maximum likelihood, minimum entropy and deep learning	10
M3Net: A multi-scale multi-view framework for multi-phase pancrea	10
Weakly supervised cell instance segmentation under various conditions	10
Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints	10
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data	10
Cell mitosis event analysis in phase contrast microscopy images using deep learning	10
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications	10
Estimating cardiomyofiber strain in vivo by solving a computational model	10
DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation	10
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images	10