Medical Image Analysis

Papers
(The median citation count of Medical Image Analysis is 10. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Editorial Board651
Editorial Board583
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]554
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery517
MIST: Multi-instance selective transformer for histopathological subtype prediction418
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging409
Multimodal super-resolved q-space deep learning398
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy379
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]366
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity355
TestFit: A plug-and-play one-pass test time method for medical image segmentation328
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding303
3D multi-modality Transformer-GAN for high-quality PET reconstruction302
Compare and contrast: Detecting mammographic soft-tissue lesions with C2238
Self-supervised learning of neighborhood embedding for longitudinal MRI236
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier220
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography207
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment206
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning201
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification201
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images172
Low-field magnetic resonance image enhancement via stochastic image quality transfer167
Latent Transformer Models for out-of-distribution detection158
Robust deep learning-based semantic organ segmentation in hyperspectral images158
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI155
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation155
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images151
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse146
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images145
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis144
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data139
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification139
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI134
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy134
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos134
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis129
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT119
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge119
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474119
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI114
Validation of 4D Flow based relative pressure maps in aortic flows114
What matters in reinforcement learning for tractography111
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints109
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling105
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning103
Learning what and where to segment: A new perspective on medical image few-shot segmentation103
Editorial Board97
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification97
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement96
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation95
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents93
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization92
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images91
A transfer learning approach to few-shot segmentation of novel white matter tracts90
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue87
Dynamic feature splicing for few-shot rare disease diagnosis87
A robust image segmentation and synthesis pipeline for histopathology87
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery87
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training85
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment84
Surface deformation tracking in monocular laparoscopic video83
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room82
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction81
DermX: An end-to-end framework for explainable automated dermatological diagnosis80
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images78
A multimodal deep learning model for cardiac resynchronisation therapy response prediction78
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]78
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics77
Loss odyssey in medical image segmentation77
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images76
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images76
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study75
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation75
On the challenges and perspectives of foundation models for medical image analysis75
A causality-inspired generalized model for automated pancreatic cancer diagnosis74
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds73
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction73
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis72
A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering72
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI70
A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans70
Re-identification from histopathology images70
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acqu69
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease69
Dual-modality visual feature flow for medical report generation68
Editorial Board68
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge68
Learning robust medical image segmentation from multi-source annotations67
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion67
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation66
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages66
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation65
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis64
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT62
Artifact- and content-specific quality assessment for MRI with image rulers62
CP-Net: Instance-aware part segmentation network for biological cell parsing62
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation62
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information62
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery61
Predicting brain structural network using functional connectivity61
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration60
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis60
WarpDrive: Improving spatial normalization using manual refinements60
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images60
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping60
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey59
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations59
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling58
Which images to label for few-shot medical image analysis?58
GAN-based disentanglement learning for chest X-ray rib suppression58
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation58
Tumor radiogenomics in gliomas with Bayesian layered variable selection57
Unpaired, unsupervised domain adaptation assumes your domains are already similar57
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation57
Diffusion tensor transformation for personalizing target volumes in radiation therapy56
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery56
A deep joint sparse non-negative matrix factorization framework for identifying the common and subject-specific functional units of tongue motion during speech54
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans54
dStripe: Slice artefact correction in diffusion MRI via constrained neural network54
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment54
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields54
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography54
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation54
TW-GAN: Topology and width aware GAN for retinal artery/vein classification53
Neighbor-aware calibration of segmentation networks with penalty-based constraints53
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI51
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI50
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation50
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection50
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer49
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data49
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images49
Texture-preserving diffusion model for CBCT-to-CT synthesis49
Personalized dental crown design: A point-to-mesh completion network49
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia49
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition48
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI48
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages48
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training48
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization47
Editorial for the MEDIA MICCAI special issue 202147
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation47
Mapping medical image-text to a joint space via masked modeling47
Focused active learning for histopathological image classification47
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity47
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative46
Vessel-targeted compensation of deformable motion in interventional cone-beam CT46
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain45
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome45
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis45
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization45
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields45
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation45
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention45
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images44
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke44
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 202344
Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity44
Metadata-enhanced contrastive learning from retinal optical coherence tomography images44
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network44
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data43
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping43
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging43
Comparative survey of multigraph integration methods for holistic brain connectivity mapping43
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition43
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation42
Unsupervised pre-training of graph transformers on patient population graphs42
Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke42
Sketch-based semantic retrieval of medical images42
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation42
A generic fundus image enhancement network boosted by frequency self-supervised representation learning41
Mutual consistency learning for semi-supervised medical image segmentation41
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation41
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning41
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available40
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding40
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology40
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation40
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images40
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge40
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging39
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors39
Complex fracture reduction by exact identification of the fracture zone39
Contour proposal networks for biomedical instance segmentation39
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images39
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer39
Boundary-rendering network for breast lesion segmentation in ultrasound images38
Soft and self constrained clustering for group-based labeling38
Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate38
Editorial Board38
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning38
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks38
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]38
Federated learning for computational pathology on gigapixel whole slide images37
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation37
Deep low-Rank plus sparse network for dynamic MR imaging37
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network37
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images37
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation37
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier37
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain37
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation36
Interpretable vertebral fracture quantification via anchor-free landmarks localization36
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning36
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images36
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction35
Deep learning for computational cytology: A survey35
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo35
Editorial Board35
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data35
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography35
Cross-center Model Adaptive Tooth segmentation35
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors35
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images35
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data34
Deblurring masked image modeling for ultrasound image analysis34
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning34
Deep probabilistic tracking of particles in fluorescence microscopy images34
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net34
Confidence-aware multi-modality learning for eye disease screening34
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images34
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer34
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement33
High resolution histopathology image generation and segmentation through adversarial training33
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling33
Deformation equivariant cross-modality image synthesis with paired non-aligned training data33
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease33
Object recognition in medical images via anatomy-guided deep learning33
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis33
Tracking and mapping in medical computer vision: A review33
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models32
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability32
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references32
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data32
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis32
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration32
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks32
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure32
Keyhole-aware laparoscopic augmented reality32
Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353]32
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks32
Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images31
Deep learning for predicting COVID-19 malignant progression31
UnICLAM: Contrastive representation learning with adversarial masking for unified and interpretable Medical Vision Question Answering31
Transformer with convolution and graph-node co-embedding: An accurate and interpretable vision backbone for predicting gene expressions from local histopathological image31
Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification31
Deep reinforcement learning in medical imaging: A literature review31
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)31
CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images31
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information31
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