Medical Image Analysis

(The median citation count of Medical Image Analysis is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-09-01 to 2023-09-01.)
Generative adversarial network in medical imaging: A review787
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning593
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images386
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation372
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation278
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs273
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology246
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis243
Self-supervised learning for medical image analysis using image context restoration240
Deep neural network models for computational histopathology: A survey226
PadChest: A large chest x-ray image dataset with multi-label annotated reports212
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation198
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation175
Accurate brain age prediction with lightweight deep neural networks172
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge157
A survey on active learning and human-in-the-loop deep learning for medical image analysis156
Loss odyssey in medical image segmentation155
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces150
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge147
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results146
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks143
Skin lesion segmentation via generative adversarial networks with dual discriminators138
IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge131
Applications of deep learning in fundus images: A review130
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking130
Deep learning for chest X-ray analysis: A survey129
Segmentation of breast ultrasound image with semantic classification of superpixels127
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis126
Deep vessel segmentation by learning graphical connectivity117
CS2-Net: Deep learning segmentation of curvilinear structures in 114
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis113
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study109
Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT109
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks105
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images103
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan101
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification101
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation101
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images101
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation99
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging96
Models Genesis94
Recent advances and clinical applications of deep learning in medical image analysis94
Multi-task recurrent convolutional network with correlation loss for surgical video analysis93
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia93
A survey on incorporating domain knowledge into deep learning for medical image analysis91
Combined tract segmentation and orientation mapping for bundle-specific tractography88
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge88
Disentangled representation learning in cardiac image analysis87
Adversarial learning for mono- or multi-modal registration82
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation79
Learning to detect lymphocytes in immunohistochemistry with deep learning79
Boundary loss for highly unbalanced segmentation79
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps77
TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set76
Supervised learning with cyclegan for low-dose FDG PET image denoising74
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease73
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study72
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization69
COVID-AL: The diagnosis of COVID-19 with deep active learning69
Surgical spectral imaging69
A survey on medical image analysis in diabetic retinopathy68
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images67
CycleMorph: Cycle consistent unsupervised deformable image registration67
Rubik’s Cube+: A self-supervised feature learning framework for 3D medical image analysis67
Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks66
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset65
Cellular community detection for tissue phenotyping in colorectal cancer histology images65
Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy64
Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images63
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images62
Global guidance network for breast lesion segmentation in ultrasound images62
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs61
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks61
Federated learning for computational pathology on gigapixel whole slide images60
Triple attention learning for classification of 14 thoracic diseases using chest radiography60
Surgical data science – from concepts toward clinical translation58
Multi-task learning for quality assessment of fetal head ultrasound images58
Deep reinforcement learning in medical imaging: A literature review58
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer57
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction56
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification55
ResGANet: Residual group attention network for medical image classification and segmentation55
‘Squeeze & excite’ guided few-shot segmentation of volumetric images54
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images54
TransMorph: Transformer for unsupervised medical image registration53
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan53
Test-time adaptable neural networks for robust medical image segmentation53
NuClick: A deep learning framework for interactive segmentation of microscopic images53
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease52
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization52
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides51
Simulation of hyperelastic materials in real-time using deep learning51
Atrial scar quantification via multi-scale CNN in the graph-cuts framework51
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks51
Learning the implicit strain reconstruction in ultrasound elastography using privileged information51
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review50
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis50
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification50
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study50
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network50
Detect and correct bias in multi-site neuroimaging datasets49
Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species49
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning49
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy49
Multi-task learning for the segmentation of organs at risk with label dependence49
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation49
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images49
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation48
The Liver Tumor Segmentation Benchmark (LiTS)48
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification47
Accurate automated Cobb angles estimation using multi-view extrapolation net47
Capsules for biomedical image segmentation47
Integrative analysis for COVID-19 patient outcome prediction47
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images46
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images46
Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images46
Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection46
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data46
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification45
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation45
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos45
Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints45
BIAS: Transparent reporting of biomedical image analysis challenges44
Selective synthetic augmentation with HistoGAN for improved histopathology image classification44
Semi-supervised WCE image classification with adaptive aggregated attention43
Domain-invariant interpretable fundus image quality assessment43
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks42
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 healthcare42
Automatic detection of rare pathologies in fundus photographs using few-shot learning42
Semi-supervised task-driven data augmentation for medical image segmentation42
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model42
Recent advances in medical image processing for the evaluation of chronic kidney disease41
Detection, segmentation, simulation and visualization of aortic dissections: A review41
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification41
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration41
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study40
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations40
ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network39
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set39
Hypergraph learning for identification of COVID-19 with CT imaging39
Roto-translation equivariant convolutional networks: Application to histopathology image analysis39
Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening39
Subsampled brain MRI reconstruction by generative adversarial neural networks39
Unsupervised lesion detection via image restoration with a normative prior39
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review39
Unsupervised X-ray image segmentation with task driven generative adversarial networks39
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping39
PAIP 2019: Liver cancer segmentation challenge39
Deep learning for predicting COVID-19 malignant progression39
Automated age estimation from MRI volumes of the hand38
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture38
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning38
Self-supervised driven consistency training for annotation efficient histopathology image analysis38
Marginal loss and exclusion loss for partially supervised multi-organ segmentation38
Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach38
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection38
Boundary-aware context neural network for medical image segmentation38
Detecting genetic associations with brain imaging phenotypes in Alzheimer’s disease via a novel structured SCCA approach37
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound37
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology37
Hierarchical graph representations in digital pathology37
Automated interpretation of congenital heart disease from multi-view echocardiograms36
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework36
Structured layer surface segmentation for retina OCT using fully convolutional regression networks36
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction36
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images36
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis36
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks35
SDCT-AuxNet : DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis35
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping35
Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks35
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease35
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning34
Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy34
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network34
Deep learning for bone marrow cell detection and classification on whole-slide images34
Residual cyclegan for robust domain transformation of histopathological tissue slides33
Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information33
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs33
Trophectoderm segmentation in human embryo images via inceptioned U-Net33
Image computing for fibre-bundle endomicroscopy: A review33
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains33
Cascaded convolutional networks for automatic cephalometric landmark detection32
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate32
Estimation of connectional brain templates using selective multi-view network normalization32
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography32
Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography32
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers32
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-1932
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning32
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis31
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning31
Transformers in medical imaging: A survey31
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency31
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy30
Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI30
A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data30
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data30
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation30
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning30
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning30
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography30
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer29
Uncertainty-aware domain alignment for anatomical structure segmentation29
Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem29
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers29
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation29
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks29
SoftSeg: Advantages of soft versus binary training for image segmentation29
A deep learning framework for quality assessment and restoration in video endoscopy29
A unified framework for multimodal structure–function mapping based on eigenmodes29
VR-Caps: A Virtual Environment for Capsule Endoscopy28
Brain functional connectivity analysis based on multi-graph fusion28
A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data28
CNN-based lung CT registration with multiple anatomical constraints28
MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network28
Directional-TV algorithm for image reconstruction from limited-angular-range data28
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis28
Disentangle domain features for cross-modality cardiac image segmentation27
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes27
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans27
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge27
Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks27
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration26
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis26
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification26
Multi-constraint generative adversarial network for dose prediction in radiotherapy26
Angle-closure assessment in anterior segment OCT images via deep learning26
Quantifying Parkinson’s disease motor severity under uncertainty using MDS-UPDRS videos26
A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy26
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier26
Fully transformer network for skin lesion analysis26
Deep metric learning for otitis media classification26
Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation25
Volumetric memory network for interactive medical image segmentation25
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction25
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI25
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network25
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information25
Score-based diffusion models for accelerated MRI25
Transformer-based unsupervised contrastive learning for histopathological image classification25
Deeply-supervised density regression for automatic cell counting in microscopy images25
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review25
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences25
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI24
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences24
A deep-learning approach for direct whole-heart mesh reconstruction24
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks24
End-to-end multimodal image registration via reinforcement learning24
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement24
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry24
Integrating uncertainty in deep neural networks for MRI based stroke analysis24
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images24
Discriminative ensemble learning for few-shot chest x-ray diagnosis24
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images24
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching24
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning23
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis23
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts23
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography23
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation23
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis23
Super-Resolved q-Space deep learning with uncertainty quantification23
Model-informed machine learning for multi-component T2 relax23
SlideGraph+: Whole slide image level graphs to predict HER2 statu23
CaDIS: Cataract dataset for surgical RGB-image segmentation23
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis23
Diverse data augmentation for learning image segmentation with cross-modality annotations23
Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification23
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning22
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening22
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge22
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment22
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation22
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes22
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography22
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers22
Quantifying and leveraging predictive uncertainty for medical image assessment22
Deep triplet hashing network for case-based medical image retrieval22
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment22
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification22
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data22
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy22
MommiNet-v2: Mammographic multi-view mass identification networks22
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching22
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos21
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation21
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review21
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke21
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data21
Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering21
Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks21
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction21
Weakly supervised object detection with 2D and 3D regression neural networks20
A deep community based approach for large scale content based X-ray image retrieval20
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure20
Cross-attention multi-branch network for fundus diseases classification using SLO images20
Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions20
Deep learning based HEp-2 image classification: A comprehensive review20
Self-paced and self-consistent co-training for semi-supervised image segmentation20
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis20
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval20
Automatic skull defect restoration and cranial implant generation for cranioplasty20
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions20
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration20
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan20
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning20
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy19
Deep low-Rank plus sparse network for dynamic MR imaging19
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation19
Clinical validation of saliency maps for understanding deep neural networks in ophthalmology19
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification19
Texture preservation and speckle reduction in poor optical coherence tomography using the convolutional neural network19
Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks19
An improved deep network for tissue microstructure estimation with uncertainty quantification19
Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images19
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images19
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation19
Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network19
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs19
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos19
Multi-scale graph-based grading for Alzheimer’s disease prediction19
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis19
Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network19
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images19
Autoencoder based self-supervised test-time adaptation for medical image analysis19
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors19
Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks19
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module19
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition19
Removing segmentation inconsistencies with semi-supervised non-adjacency constraint19
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI18
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 generation18
Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers18
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis18
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis18
A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI18
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors18
Holistic decomposition convolution for effective semantic segmentation of medical volume images18
Hierarchical spherical deformation for cortical surface registration18
Learning to synthesise the ageing brain without longitudinal data18
Dynamic MRI reconstruction with end-to-end motion-guided network17
Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting17
Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs17
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier17
Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy17
Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning17
Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism17
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing17
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening17
Evaluation of a novel navigation platform for laparoscopic liver surgery with organ deformation compensation using injected fiducials17
Mutual consistency learning for semi-supervised medical image segmentation17
Automated ultrasound assessment of amniotic fluid index using deep learning17
A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis17
Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies17
Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues17
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network17
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework17
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning17
Filtering in tractography using autoencoders (FINTA)17
Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization16
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation16
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI16
Mitosis domain generalization in histopathology images — The MIDOG challenge16
Relax and focus on brain tumor segmentation16
Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter16
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI16
Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization16
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks16
Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator16
Longitudinal self-supervised learning16
Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior16
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images16
High-resolution 3D abdominal segmentation with random patch network fusion16
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method16
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels16
A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations16
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives16
Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction16
Phenotype discovery from population brain imaging16
Learning disentangled representations in the imaging domain16
An automatic genetic algorithm framework for the optimization of three-dimensional surgical plans of forearm corrective osteotomies16
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy15
Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks15
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging15
Automated characterization of noise distributions in diffusion MRI data15
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach15
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation15
Contour proposal networks for biomedical instance segmentation15
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis15
A computational Framework for generating rotation invariant features and its application in diffusion MRI15
Dual-stream pyramid registration network15
Robust deep learning-based semantic organ segmentation in hyperspectral images15
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping15
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder15
Towards evaluating the robustness of deep diagnostic models by adversarial attack15
Time-distanced gates in long short-term memory networks15
SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data15
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge14
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation14
Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation14
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels14
Deep learning-based solvability of underdetermined inverse problems in medical imaging14
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy14
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks14
Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization14
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images14
Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph14
Inference of ventricular activation properties from non-invasive electrocardiography14
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system14
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment14
Cobiveco: Consistent biventricular coordinates for precise and intuitive description of position in the heart – with MATLAB implementation14
Comparison of non-parametric T2 relaxometry methods for myelin water quantification14
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning14
Recovering from missing data in population imaging – Cardiac MR image imputation via conditional generative adversarial nets14
Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions14
Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance14
Using synthetic data generation to train a cardiac motion tag tracking neural network14
A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory14
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge14
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings14
Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain13
Towards improved breast mass detection using dual-view mammogram matching13
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data13
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging13
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images13
The state-of-the-art in ultrasound-guided spine interventions13
A review on deep-learning algorithms for fetal ultrasound-image analysis13
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images13
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets13
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images13
Hierarchical Bayesian myocardial perfusion quantification13
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling13
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation13
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework12
Pancreas segmentation using a dual-input v-mesh network12
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information12
Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss12
Artificial neural networks for magnetic resonance elastography stiffness estimation in inhomogeneous materials12
Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images12
Learning metal artifact reduction in cardiac CT images with moving pacemakers12
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework12
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation12
DeepHCS++: Bright-field to 12
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue12
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation12
High-dimensional embedding network derived prior for compressive sensing MRI reconstruction12
Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models12
An integrated deep learning framework for joint segmentation of blood pool and myocardium12
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge12
Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scans12
Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition12
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation12
Combining unsupervised and supervised learning for predicting the final stroke lesion12
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge12
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation12
APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation12
Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning12
Predicting brain structural network using functional connectivity11
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion11
Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments11
Discovering common change-point patterns in functional connectivity across subjects11
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation11
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images11
Clever Hans effect found in a widely used brain tumour MRI dataset11
A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation11
Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy11
DDTNet: A dense dual-task network for tumor-infiltrating lymphocyte detection and segmentation in histopathological images of breast cancer11
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks11
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement11
Temporal non-local means filtering for studies of intrinsic brain connectivity from individual resting fMRI11
Meta grayscale adaptive network for 3D integrated renal structures segmentation11
Weakly-supervised progressive denoising with unpaired CT images11
Visually Navigated Bronchoscopy using three cycle-Consistent generative adversarial network for depth estimation11
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation11
Focused Attention in Transformers for interpretable classification of retinal images11
Graph refinement based airway extraction using mean-field networks and graph neural networks11
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks11
Automatic detection of landmarks for the analysis of a reduction of supracondylar fractures of the humerus10
W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data10
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia10
Artifact- and content-specific quality assessment for MRI with image rulers10
A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans10
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation10
Real-time multimodal image registration with partial intraoperative point-set data10
An integrated time adaptive geographic atrophy prediction model for SD-OCT images10
TW-GAN: Topology and width aware GAN for retinal artery/vein classification10
Learning to map 2D ultrasound images into 3D space with minimal human annotation10
Image registration: Maximum likelihood, minimum entropy and deep learning10
M3Net: A multi-scale multi-view framework for multi-phase pancrea10
Weakly supervised cell instance segmentation under various conditions10
Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints10
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data10
Cell mitosis event analysis in phase contrast microscopy images using deep learning10
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications10
Estimating cardiomyofiber strain in vivo by solving a computational model10
DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation10
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images10