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 2022-01-01 to 2026-01-01.)
ArticleCitations
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]896
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery810
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]807
Editorial Board722
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data567
Low-field magnetic resonance image enhancement via stochastic image quality transfer551
Self-supervised learning of neighborhood embedding for longitudinal MRI540
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability505
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images492
Editorial Board461
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation403
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding338
Editorial Board319
MIST: Multi-instance selective transformer for histopathological subtype prediction311
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification272
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy250
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity238
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification206
3D multi-modality Transformer-GAN for high-quality PET reconstruction200
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI197
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data189
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging188
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography186
Latent Transformer Models for out-of-distribution detection178
Cycle-constrained adversarial denoising convolutional network for PET image denoising: Multi-dimensional validation on large datasets with reader study and real low-dose data178
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images174
TestFit: A plug-and-play one-pass test time method for medical image segmentation173
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI171
Robust deep learning-based semantic organ segmentation in hyperspectral images171
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes164
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning160
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge160
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis142
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images141
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse140
Editorial Board139
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images136
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis135
A multimodal deep learning model for cardiac resynchronisation therapy response prediction134
Dynamic feature splicing for few-shot rare disease diagnosis133
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images129
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images127
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement127
Learning what and where to segment: A new perspective on medical image few-shot segmentation123
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints120
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery117
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning117
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics116
A causality-inspired generalized model for automated pancreatic cancer diagnosis115
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study114
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction114
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT112
What matters in reinforcement learning for tractography111
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification110
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization109
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]108
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474108
Recovering intrinsic conduction velocity and action potential duration from electroanatomic mapping data using curvature107
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room107
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training107
A transfer learning approach to few-shot segmentation of novel white matter tracts105
GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence105
DermX: An end-to-end framework for explainable automated dermatological diagnosis101
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation100
On the challenges and perspectives of foundation models for medical image analysis98
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation97
Surface deformation tracking in monocular laparoscopic video96
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI93
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images92
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents91
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue89
A robust image segmentation and synthesis pipeline for histopathology89
Robust image representations with counterfactual contrastive learning87
Generating realistic single-cell images from CellProfiler representations86
CP-Net: Instance-aware part segmentation network for biological cell parsing86
Trimming-then-augmentation: Towards robust depth and odometry estimation for endoscopic images82
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge82
Predicting brain structural network using functional connectivity81
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping81
SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation80
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration78
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acqu78
Learning multi-modal representations by watching hundreds of surgical video lectures77
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI76
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information75
Re-identification from histopathology images75
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images75
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations72
A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction72
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages72
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease72
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT72
Individualized mapping of aberrant cortical thickness via stochastic cortical self-reconstruction70
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis69
Learning robust medical image segmentation from multi-source annotations68
WarpDrive: Improving spatial normalization using manual refinements67
Artifact- and content-specific quality assessment for MRI with image rulers65
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion64
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation63
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation63
Unsupervised 4D-flow MRI reconstruction based on partially-independent generative modeling and complex-difference sparsity constraint63
Dual-modality visual feature flow for medical report generation62
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery62
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey62
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis62
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation62
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction62
Tumor radiogenomics in gliomas with Bayesian layered variable selection61
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation61
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound61
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis61
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment60
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography59
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation58
Which images to label for few-shot medical image analysis?57
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans57
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields57
Texture-preserving diffusion model for CBCT-to-CT synthesis57
GAN-based disentanglement learning for chest X-ray rib suppression56
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages56
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data56
Diffusion tensor transformation for personalizing target volumes in radiation therapy56
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training55
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection55
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation55
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling54
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition54
Focused active learning for histopathological image classification53
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization53
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography53
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI53
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data53
Mapping medical image-text to a joint space via masked modeling52
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation52
Neighbor-aware calibration of segmentation networks with penalty-based constraints52
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI52
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer51
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI51
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery51
TW-GAN: Topology and width aware GAN for retinal artery/vein classification51
Unpaired, unsupervised domain adaptation assumes your domains are already similar50
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia50
Personalized dental crown design: A point-to-mesh completion network50
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition49
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation49
Vessel-targeted compensation of deformable motion in interventional cone-beam CT49
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome49
UDV-Net: A Hybrid CNN and Transformer Vein Segmentation Network with Vascular Prior and Spatial Awareness49
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity49
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis49
Unsupervised pre-training of graph transformers on patient population graphs48
Comparative survey of multigraph integration methods for holistic brain connectivity mapping48
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization48
Editorial for the MEDIA MICCAI special issue 202148
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields47
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation46
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning46
Sketch-based semantic retrieval of medical images46
Monocular pose estimation of articulated open surgery tools - in the wild46
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available45
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images45
Metadata-enhanced contrastive learning from retinal optical coherence tomography images45
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation45
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge45
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network45
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data45
Contour proposal networks for biomedical instance segmentation44
Mutual consistency learning for semi-supervised medical image segmentation44
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images44
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology43
Boundary-rendering network for breast lesion segmentation in ultrasound images43
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation43
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer43
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke43
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images43
A generic fundus image enhancement network boosted by frequency self-supervised representation learning43
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning43
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative43
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 202343
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging42
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding42
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation42
Shadow defense against gradient inversion attack in federated learning42
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention42
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network42
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation41
Medical Image Analysis – Special Issue FIMH 202341
HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC41
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning41
AgGAN: Anatomy-guided generative adversarial network to synthesize arterial spin labeling images for cerebral blood flow measurement under simulated microgravity41
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]41
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Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain40
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images40
Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment40
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks40
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images40
Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate40
FairREAD: Re-fusing demographic attributes after disentanglement for fair medical image classification40
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation40
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation40
Federated learning for computational pathology on gigapixel whole slide images39
Deep learning for computational cytology: A survey39
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data39
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images39
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation39
DVAP-Reg: Dual-View Anatomical Prior-Driven Cross-Dimensional Registration for Spinal Surgery Navigation39
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography39
Interpretable vertebral fracture quantification via anchor-free landmarks localization39
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction38
SimIntestine: A synthetic dataset from virtual capsule endoscope38
Cross-center Model Adaptive Tooth segmentation38
A novel image-guided robotic system with motion compensation for intraoperative radiation-free localization of pulmonary nodules38
Controllable illumination invariant GAN for diverse temporally-consistent surgical video synthesis38
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration37
Object recognition in medical images via anatomy-guided deep learning37
Editorial Board37
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references37
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis37
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement37
Deformation equivariant cross-modality image synthesis with paired non-aligned training data37
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer37
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors36
Keyhole-aware laparoscopic augmented reality36
Report is a mixture of topics: Topic-guided radiology report generation36
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning36
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data36
Deep generation of personalized connectomes based on individual attributes35
Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation35
A topology-preserving three-stage framework for fully-connected coronary artery extraction35
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information35
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling35
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)34
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease34
Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353]34
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis34
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks34
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net34
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability34
Tracking and mapping in medical computer vision: A review33
Deblurring masked image modeling for ultrasound image analysis33
Confidence-aware multi-modality learning for eye disease screening33
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models33
High resolution histopathology image generation and segmentation through adversarial training33
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data33
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition32
One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer32
Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation32
Developing a knowledge-guided federated graph attention learning network with a diffusion module to diagnose Alzheimer’s disease32
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI32
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