Medical Image Analysis

Papers
(The median citation count of Medical Image Analysis is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Three-dimensional micro-structurally informed in silico myocardium—Towards virtual imaging trials in cardiac diffusion weighted MRI585
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification518
Medical federated learning with joint graph purification for noisy label learning487
Self-supervised learning of neighborhood embedding for longitudinal MRI472
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation468
Improving cross-domain generalizability of medical image segmentation using uncertainty and shape-aware continual test-time domain adaptation392
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction385
Editorial Board360
Benefit from public unlabeled data: A Frangi filter-based pretraining network for 3D cerebrovascular segmentation351
Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI332
Learnable color space conversion and fusion for stain normalization in pathology images311
ProstAtlasDiff: Prostate cancer detection on MRI using Diffusion Probabilistic Models guided by population spatial cancer atlases284
Brain networks and intelligence: A graph neural network based approach to resting state fMRI data284
Clinical knowledge-guided hybrid classification network for automatic periodontal disease diagnosis in X-ray image251
Cross-center Model Adaptive Tooth segmentation251
Image-based simulation of mitral valve dynamic closure including anisotropy222
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer218
IGUANe: A 3D generalizable CycleGAN for multicenter harmonization of brain MR images206
Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer202
Labeled-to-unlabeled distribution alignment for partially-supervised multi-organ medical image segmentation199
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks191
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images189
Low-dose computed tomography perceptual image quality assessment189
Visually Navigated Bronchoscopy using three cycle-Consistent generative adversarial network for depth estimation187
Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity187
Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network181
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data171
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement169
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery151
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning150
Prompt tuning for parameter-efficient medical image segmentation149
Monocular endoscope 6-DoF tracking with constrained evolutionary stochastic filtering141
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer140
Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT139
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling138
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification129
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse126
Latent Transformer Models for out-of-distribution detection125
Object recognition in medical images via anatomy-guided deep learning125
PneumoLLM: Harnessing the power of large language model for pneumoconiosis diagnosis123
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images121
3D multi-modality Transformer-GAN for high-quality PET reconstruction121
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion120
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking113
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning111
PRSCS-Net: Progressive 3D/2D rigid Registration network with the guidance of Single-view Cycle Synthesis110
MIST: Multi-instance selective transformer for histopathological subtype prediction108
A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its Effect on Image Correspondence107
Editorial Board105
Editorial Board104
Editorial Board103
Editorial Board101
Connecting macroscopic diffusion metrics of cardiac diffusion tensor imaging and microscopic myocardial structures based on simulation100
Merging nucleus datasets by correlation-based cross-training98
Editorial Board96
Editorial Board95
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding93
Editorial Board92
Dynamic multi feature-class Gaussian process models90
Editorial Board87
TransVFS: A spatio-temporal local–global transformer for vision-based force sensing during ultrasound-guided prostate biopsy86
Editorial Board86
Riemannian frameworks for the harmonization of resting-state functional MRI scans85
A deep weakly semi-supervised framework for endoscopic lesion segmentation85
Editorial Board84
Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection84
Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer's disease83
Keyhole-aware laparoscopic augmented reality83
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net83
Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments83
Corrigendum to “Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge” [Medical Image Analysis, April 2022, Volume 77, 102333]82
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond80
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity79
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis79
Anticipation for surgical workflow through instrument interaction and recognized Signals78
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI75
DDTNet: A dense dual-task network for tumor-infiltrating lymphocyte detection and segmentation in histopathological images of breast cancer74
TestFit: A plug-and-play one-pass test time method for medical image segmentation74
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy74
Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning73
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework72
Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy71
Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks71
Skin3D: Detection and longitudinal tracking of pigmented skin lesions in 3D total-body textured meshes70
Discriminative error prediction network for semi-supervised colon gland segmentation70
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network70
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images70
Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues69
Suggestive annotation of brain MR images with gradient-guided sampling68
Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis68
Fully Automated 3D Segmentation and Diffeomorphic Medial Modeling of the Left Ventricle Mitral Valve Complex in Ischemic Mitral Regurgitation68
-loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registra67
Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients66
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications65
Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification64
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data63
Live laparoscopic video retrieval with compressed uncertainty63
POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation62
Acquisition-invariant brain MRI segmentation with informative uncertainties62
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning62
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings61
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data61
Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation60
A universal biventricular coordinate system incorporating valve annuli: Validation in congenital heart disease60
Confidence-aware multi-modality learning for eye disease screening60
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction60
Task sub-type states decoding via group deep bidirectional recurrent neural network60
A comprehensive survey on deep active learning in medical image analysis60
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning60
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images59
Deblurring masked image modeling for ultrasound image analysis59
LESS: Label-efficient multi-scale learning for cytological whole slide image screening59
PathoDuet: Foundation models for pathological slide analysis of H&E and IHC stains58
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis58
OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery58
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier57
Leveraging unsupervised image registration for discovery of landmark shape descriptor57
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure57
DeepHCS++: Bright-field to f57
Deep probabilistic tracking of particles in fluorescence microscopy images57
Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision57
Multimodal super-resolved q-space deep learning56
Exploring partial intrinsic and extrinsic symmetry in 3D medical imaging55
Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration55
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy55
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images55
CartiMorph: A framework for automated knee articular cartilage morphometrics54
Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment54
A model-based MR parameter mapping network robust to substantial variations in acquisition settings54
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis54
Structure and position-aware graph neural network for airway labeling53
TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations53
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging53
JOSA: Joint surface-based registration and atlas construction of brain geometry and function53
Directional-TV algorithm for image reconstruction from limited-angular-range data52
Deformation equivariant cross-modality image synthesis with paired non-aligned training data52
Cerebrovascular super-resolution 4D Flow MRI – Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity,52
Deep learning solution for medical image localization and orientation detection51
Editorial Board51
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease51
C-arm positioning for standard projections during spinal implant placement50
Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition50
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors50
Signed graph representation learning for functional-to-structural brain network mapping50
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]50
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images49
CNTSeg: A multimodal deep-learning-based network for cranial nerves tract segmentation49
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification49
TriDeNT : Triple deep network training for privileged knowledge distillation in histopathology49
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references48
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks48
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method48
Compare and contrast: Detecting mammographic soft-tissue lesions with C248
Surgical data science – from concepts toward clinical translation47
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images47
Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints47
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy47
Hierarchical graph representations in digital pathology46
Tracking and mapping in medical computer vision: A review46
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI46
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study46
Robust deep learning-based semantic organ segmentation in hyperspectral images46
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging46
Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images45
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks45
Deep learning models of cognitive processes constrained by human brain connectomes44
Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation44
High resolution histopathology image generation and segmentation through adversarial training44
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans44
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images44
Optimisation of the event-based TOF filtered back-projection for online imaging in total-body J-PET43
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model43
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment43
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data43
Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound43
Evaluation of a novel navigation platform for laparoscopic liver surgery with organ deformation compensation using injected fiducials42
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI42
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation42
Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT42
A statistical deformation model-based data augmentation method for volumetric medical image segmentation42
Large vessel occlusion identification network with vessel guidance and asymmetry learning on CT angiography of acute ischemic stroke patients42
SynCLay: Interactive synthesis of histology images from bespoke cellular layouts42
ImUnity: A generalizable VAE-GAN solution for multicenter MR image harmonization41
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)41
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI41
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge40
Real-time echocardiography image analysis and quantification of cardiac indices40
Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification40
Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks40
AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images39
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification39
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation39
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration39
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks38
A survey on deep learning for skin lesion segmentation38
Learning to segment fetal brain tissue from noisy annotations38
A framework for falsifiable explanations of machine learning models with an application in computational pathology38
Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis38
Cross-modal attention for multi-modal image registration38
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks38
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images38
Hyper-fusion network for semi-automatic segmentation of skin lesions38
Cobiveco: Consistent biventricular coordinates for precise and intuitive description of position in the heart – with MATLAB implementation38
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration38
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance37
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation37
Simultaneous alignment and surface regression using hybrid 2D–3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations37
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan37
A structural enriched functional network: An application to predict brain cognitive performance37
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework37
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image36
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos36
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images36
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models36
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis36
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability36
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis36
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers36
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view35
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network35
Deep reinforcement learning in medical imaging: A literature review35
Low-field magnetic resonance image enhancement via stochastic image quality transfer35
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation35
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography35
Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge34
TransMorph: Transformer for unsupervised medical image registration34
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis34
End-to-End diagnosis of breast biopsy images with transformers34
Knowledge matters: Chest radiology report generation with general and specific knowledge34
Boundary-aware context neural network for medical image segmentation34
An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms34
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation34
A survey on incorporating domain knowledge into deep learning for medical image analysis34
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images34
MeMGB-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model for 3D bias field correction33
Meta multi-task nuclei segmentation with fewer training samples33
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents33
A multimodal deep learning model for cardiac resynchronisation therapy response prediction33
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation33
A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation33
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data33
The value of Augmented Reality in surgery — A usability study on laparoscopic liver surgery33
Perlin noise generation of physiologically realistic cardiac fibrosis33
Deep learning models for triaging hospital head MRI examinations33
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT32
Strategies for generating synthetic computed tomography-like imaging from radiographs: A scoping review32
UnICLAM: Contrastive representation learning with adversarial masking for unified and interpretable Medical Vision Question Answering32
A survey of intracranial aneurysm detection and segmentation32
Graph neural networks in histopathology: Emerging trends and future directions32
Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge32
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