Medical Image Analysis

Article	Citations
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	1081
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	1011
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	982
MIST: Multi-instance selective transformer for histopathological subtype prediction	956
Editorial Board	895
Editorial Board	680
Editorial Board	671
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	644
Self-supervised learning of neighborhood embedding for longitudinal MRI	641
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	523
Robust deep learning-based semantic organ segmentation in hyperspectral images	424
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]	379
Cycle-constrained adversarial denoising convolutional network for PET image denoising: Multi-dimensional validation on large datasets with reader study and real low-dose data	378
Facial appearance prediction for orthognathic surgery with diffusion models	361
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	359
TestFit: A plug-and-play one-pass test time method for medical image segmentation	294
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	268
Asymmetric fiber orientation distribution estimation via unsupervised deep learning	248
Latent Transformer Models for out-of-distribution detection	221
Hippocampal surface morphological variation-based genome-wide association analysis network for biomarker detection of Alzheimer’s disease	210
AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction	199
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	195
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	195
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	193
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	189

A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	185
PIVOTS: Aligning unseen structures using preoperative to intraoperative volume-to-surface registration for liver navigation	167
3D multi-modality Transformer-GAN for high-quality PET reconstruction	164
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	163
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability	162
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	162
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	161
Low-field magnetic resonance image enhancement via stochastic image quality transfer	154
Editorial Board	151
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	151
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	150
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	145
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	143
SAM-Swin: SAM-driven dual-swin transformers with adaptive lesion enhancement for Laryngo-Pharyngeal tumor detection	136
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	132
DermX: An end-to-end framework for explainable automated dermatological diagnosis	130
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction	127
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	127
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	126
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	125
Learning what and where to segment: A new perspective on medical image few-shot segmentation	123
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	123
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	122
A causality-inspired generalized model for automated pancreatic cancer diagnosis	120
A transfer learning approach to few-shot segmentation of novel white matter tracts	119
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR	112
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	108
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	107
An efficient, scalable, and adaptable plug-and-play temporal attention module for motion-guided cardiac segmentation with sparse temporal labels	103
SicTTA: Single image continual test time adaptation for medical image segmentation	99
Multimodal medical endoscopic image analysis via progressive disentangle-aware contrastive learning	98
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	98
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	93
Recovering intrinsic conduction velocity and action potential duration from electroanatomic mapping data using curvature	92
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	92
Surface deformation tracking in monocular laparoscopic video	91
GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence	90
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	89
From model based to learned regularization in medical image registration: A comprehensive review	89
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	88
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	88
MG-3D: Multi-grained knowledge-enhanced vision-language pre-training for 3D medical image analysis	87
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	87
Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components	87
On the challenges and perspectives of foundation models for medical image analysis	85
What matters in reinforcement learning for tractography	82
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	82
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	80
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	80
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	80

A robust image segmentation and synthesis pipeline for histopathology	80
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	79
Dynamic feature splicing for few-shot rare disease diagnosis	79
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT	77
Generating realistic single-cell images from CellProfiler representations	76
A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction	75
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI	74
Individualized mapping of aberrant cortical thickness via stochastic cortical self-reconstruction	73
Robust simultaneous multislice MRI reconstruction using slice-wise learned generative diffusion priors	73
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease	72
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	71
Re-identification from histopathology images	71
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction	71
Learning multi-modal representations by watching hundreds of surgical video lectures	71
Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image	70
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping	70
SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation	70
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery	69
Robust image representations with counterfactual contrastive learning	69
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis	68
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	68
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	65
Unsupervised 4D-flow MRI reconstruction based on partially-independent generative modeling and complex-difference sparsity constraint	64
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration	64
CP-Net: Instance-aware part segmentation network for biological cell parsing	63
MICCAI STS 2024 challenge: Semi-supervised instance-level tooth segmentation in panoramic X-ray and CBCT images	62
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	62
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge	62
Enhancing uncertainty assessment in dynamic PET imaging with residual permutation and clustering	62
Learning robust medical image segmentation from multi-source annotations	62
WarpDrive: Improving spatial normalization using manual refinements	61
NeuroDetour: A neural pathway transformer for uncovering structural-functional coupling mechanisms in human connectome	60
Trimming-then-augmentation: Towards robust depth and odometry estimation for endoscopic images	60
Dual selective gleason pattern-aware multiple instance learning with uncertainty regularization for grade group prediction in histopathology images	60
Dual-modality visual feature flow for medical report generation	59
PTCMIL: multiple instance learning via prompt token clustering for whole slide image analysis	58
Fine-grained and multi-pattern anti-nuclear antibody recognition: A new dataset and framework	58
Eliminating domain-related confounding factors in cross-domain one-shot medical image segmentation via causal inference	58
Prediction of post-stroke brain swelling using biomechanical modelling and deep neural networks	57
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion	56
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation	56
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis	56
Predicting brain structural network using functional connectivity	56
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation	56
MADAT: Missing-aware dynamic adaptive transformer model for medical prognosis prediction with incomplete multimodal data	56
Focused active learning for histopathological image classification	55
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI	55
Diffusion tensor transformation for personalizing target volumes in radiation therapy	54
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography	54
Unpaired, unsupervised domain adaptation assumes your domains are already similar	54
UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness	54
Neighbor-aware calibration of segmentation networks with penalty-based constraints	54
Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer’s disease	53
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI	53
Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation	53
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound	52
Mapping medical image-text to a joint space via masked modeling	52
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection	52
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation	51
Tumor radiogenomics in gliomas with Bayesian layered variable selection	51
Which images to label for few-shot medical image analysis?	51
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer	51
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization	51
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography	50
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation	50
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training	50
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields	50
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery	49
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data	49
Personalized dental crown design: A point-to-mesh completion network	49
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition	49
SEQUAL: Self-refining and effective querying active learning with pseudo label divergence score for carotid intima-media segmentation in ultrasound	49
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation	49
Translating MRI to PET through conditional diffusion models with enhanced pathology awareness	49
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation	48
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data	48
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling	48
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation	48
Texture-preserving diffusion model for CBCT-to-CT synthesis	48
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data	47

Dynamical multi-order responses and global semantic-infused adversarial learning: A robust airway segmentation method	47
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization	47
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans	47
Sketch-based semantic retrieval of medical images	47
Shadow defense against gradient inversion attack in federated learning	46
Comparative survey of multigraph integration methods for holistic brain connectivity mapping	46
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation	46
Editorial for the MEDIA MICCAI special issue 2021	46
Vessel-targeted compensation of deformable motion in interventional cone-beam CT	45
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	45
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images	45
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields	45
Monocular pose estimation of articulated open surgery tools - in the wild	45
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding	44
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity	44
Unsupervised pre-training of graph transformers on patient population graphs	44
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation	44
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	44
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation	44
ViFIT-assisted histopathology: From H&E style standardization to virtual fiber image transformation	43
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis	43
A generic fundus image enhancement network boosted by frequency self-supervised representation learning	42
DDTracking: A diffusion model-based deep generative framework with local-global spatiotemporal modeling for diffusion MRI tractography	42
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology	42
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome	42
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	42
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	41
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke	41
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	41
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	41
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention	40
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	40
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning	40
Mutual consistency learning for semi-supervised medical image segmentation	40
Boundary-rendering network for breast lesion segmentation in ultrasound images	40
DVAP-Reg: Dual-view anatomical prior-driven cross-dimensional registration for spinal surgery navigation	39
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge	39
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]	39
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023	39
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available	39
Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment	38
D-EDL: Differential evidential deep learning for robust medical out-of-distribution detection	38
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge	38
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning	38
HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC	38
Medical Image Analysis – Special Issue FIMH 2023	38
AgGAN: Anatomy-guided generative adversarial network to synthesize arterial spin labeling images for cerebral blood flow measurement under simulated microgravity	38
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation	38
FairREAD: Re-fusing demographic attributes after disentanglement for fair medical image classification	38
Interpretable vertebral fracture quantification via anchor-free landmarks localization	38
	38
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation	37
SAM-driven cross prompting with adaptive sampling consistency for semi-supervised medical image segmentation	37
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images	37
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data	37
Context-enriched contrastive auto-encoder with topology learning for medical hyperspectral image classification to diagnose tumors	37
Deep learning for computational cytology: A survey	37
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography	37
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	36
Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods	36
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis	36
Editorial Board	36
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain	36
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks	36
Controllable illumination invariant GAN for diverse temporally-consistent surgical video synthesis	36
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images	36
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	36
Incorporating modality-specific intensity prior as text prompt for multimodal myocardial pathology segmentation	36
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration	36
SimIntestine: A synthetic dataset from virtual capsule endoscope	36
Deblurring masked image modeling for ultrasound image analysis	35
Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation	35
Report is a mixture of topics: Topic-guided radiology report generation	35
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	35
Generating synthetic MRI scans for improving Alzheimer’s disease diagnosis	35
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	35
Deformation equivariant cross-modality image synthesis with paired non-aligned training data	35
Enhancing feature fusion of U-like networks with dynamic skip connections	35
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease	35
Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353]	35
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement	34
PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRI	34
Deep generation of personalized connectomes based on individual attributes	34
A topology-preserving three-stage framework for fully-connected coronary artery extraction	34
Tracking and mapping in medical computer vision: A review	34
Patherea: Cell detection and classification for the 2020s	34
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	34
Cross-center Model Adaptive Tooth segmentation	34
Keyhole-aware laparoscopic augmented reality	34
Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis	34
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer	34
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	34
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models	33
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information	33
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction	32