Medical Image Analysis

Article	Citations
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	822
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]	746
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	737
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	661
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	515
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	502
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	495
Self-supervised learning of neighborhood embedding for longitudinal MRI	449
Low-field magnetic resonance image enhancement via stochastic image quality transfer	446
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	443
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	426
Robust deep learning-based semantic organ segmentation in hyperspectral images	356
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	304
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability	303
TestFit: A plug-and-play one-pass test time method for medical image segmentation	276
Editorial Board	243
3D multi-modality Transformer-GAN for high-quality PET reconstruction	241
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	207
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	189
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	187
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	187
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	185
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	170
Latent Transformer Models for out-of-distribution detection	163
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	162

Editorial Board	160
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	159
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	157
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	152
MIST: Multi-instance selective transformer for histopathological subtype prediction	146
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	141
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	138
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	137
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	133
Editorial Board	131
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	129
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	127
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	125
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	122
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	122
Validation of 4D Flow based relative pressure maps in aortic flows	121
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	116
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	111
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics	111
DermX: An end-to-end framework for explainable automated dermatological diagnosis	110
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	110
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	108
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	107
A causality-inspired generalized model for automated pancreatic cancer diagnosis	107
Dynamic feature splicing for few-shot rare disease diagnosis	106
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	105
A transfer learning approach to few-shot segmentation of novel white matter tracts	104
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	103
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	103
Learning what and where to segment: A new perspective on medical image few-shot segmentation	103
Surface deformation tracking in monocular laparoscopic video	103
What matters in reinforcement learning for tractography	99
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	98
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	98
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	97
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	97
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds	96
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	96
A robust image segmentation and synthesis pipeline for histopathology	96
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	94
SicTTA: Single Image Continual Test Time Adaptation for Medical Image Segmentation	92
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	91
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	90
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	90
On the challenges and perspectives of foundation models for medical image analysis	89
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	88
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	87
Re-identification from histopathology images	85
CP-Net: Instance-aware part segmentation network for biological cell parsing	83
Robust image representations with counterfactual contrastive learning	83

Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	82
Generating realistic single-cell images from CellProfiler representations	79
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	78
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis	76
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge	75
Learning robust medical image segmentation from multi-source annotations	75
SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation	74
Learning multi-modal representations by watching hundreds of surgical video lectures	74
Dual-modality visual feature flow for medical report generation	71
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion	71
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping	70
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis	70
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT	70
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	70
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation	70
Artifact- and content-specific quality assessment for MRI with image rulers	69
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations	69
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease	68
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration	68
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction	68
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information	66
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI	66
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation	64
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery	63
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis	59
WarpDrive: Improving spatial normalization using manual refinements	59
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acqu	59
Predicting brain structural network using functional connectivity	58
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation	58
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation	57
Diffusion tensor transformation for personalizing target volumes in radiation therapy	57
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields	57
Which images to label for few-shot medical image analysis?	57
Neighbor-aware calibration of segmentation networks with penalty-based constraints	57
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation	56
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans	56
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography	56
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography	56
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training	55
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling	55
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation	55
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data	54
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment	54
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound	54
Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation	54
Unpaired, unsupervised domain adaptation assumes your domains are already similar	53
Tumor radiogenomics in gliomas with Bayesian layered variable selection	53
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation	53
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection	52
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation	51
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI	51
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization	51
dStripe: Slice artefact correction in diffusion MRI via constrained neural network	51
GAN-based disentanglement learning for chest X-ray rib suppression	51
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI	51
TW-GAN: Topology and width aware GAN for retinal artery/vein classification	50
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI	50
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages	50
Texture-preserving diffusion model for CBCT-to-CT synthesis	50
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition	49
Focused active learning for histopathological image classification	49
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer	48
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis	48
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data	48
Personalized dental crown design: A point-to-mesh completion network	48
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery	48
Mapping medical image-text to a joint space via masked modeling	48
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia	48
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	47
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation	47
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	47
Vessel-targeted compensation of deformable motion in interventional cone-beam CT	47
A generic fundus image enhancement network boosted by frequency self-supervised representation learning	46
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning	46
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation	46
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023	46
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology	45
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	45
Mutual consistency learning for semi-supervised medical image segmentation	45
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	45

SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	45
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	44
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome	44
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available	44
Shadow defense against gradient inversion attack in federated learning	44
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network	44
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	43
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition	43
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging	43
Unsupervised pre-training of graph transformers on patient population graphs	42
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images	42
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke	42
Editorial for the MEDIA MICCAI special issue 2021	42
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity	42
Contour proposal networks for biomedical instance segmentation	42
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data	41
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation	41
Boundary-rendering network for breast lesion segmentation in ultrasound images	41
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge	41
Comparative survey of multigraph integration methods for holistic brain connectivity mapping	41
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding	41
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields	41
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images	41
Monocular pose estimation of articulated open surgery tools - in the wild	41
Sketch-based semantic retrieval of medical images	41
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization	41
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks	40
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	40
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	40
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention	40
Federated learning for computational pathology on gigapixel whole slide images	40
Deep learning for computational cytology: A survey	40
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification	40
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain	39
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation	39
HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC	39
Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate	39
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network	39
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images	39
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data	39
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation	39
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo	38
Medical Image Analysis – Special Issue FIMH 2023	38
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation	38
Editorial Board	37
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography	37
Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353]	37
Cross-center Model Adaptive Tooth segmentation	37
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images	37
Interpretable vertebral fracture quantification via anchor-free landmarks localization	37
Confidence-aware multi-modality learning for eye disease screening	37
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning	37
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]	37
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction	37
Controllable illumination invariant GAN for diverse temporally-consistent surgical video synthesis	37
SimIntestine: A synthetic dataset from virtual capsule endoscope	36
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease	36
High resolution histopathology image generation and segmentation through adversarial training	36
Deblurring masked image modeling for ultrasound image analysis	36
A novel image-guided robotic system with motion compensation for intraoperative radiation-free localization of pulmonary nodules	36
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer	36
Editorial Board	35
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	35
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement	35
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis	35
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	34
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models	34
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability	34
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references	34
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration	34
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data	34
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling	34
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net	33
Keyhole-aware laparoscopic augmented reality	33
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information	33
Tracking and mapping in medical computer vision: A review	33
A topology-preserving three-stage framework for fully-connected coronary artery extraction	33
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	33
Object recognition in medical images via anatomy-guided deep learning	33
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	33
Report is a mixture of topics: Topic-guided radiology report generation	33
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations	32
Polyp detection on video colonoscopy using a hybrid 2D/3D CNN	32
Deformation equivariant cross-modality image synthesis with paired non-aligned training data	32
NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns	32
CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images	32
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks	32
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics	32
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification	32
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis	32
Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation	31
XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans	31
A Bayesian network for simultaneous keyframe and landmark detection in ultrasonic cine	31
MedLSAM: Localize and segment anything model for 3D CT images	31
Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification	31