Medical Image Analysis

Article	Citations
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	1184
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	1103
MIST: Multi-instance selective transformer for histopathological subtype prediction	956
Editorial Board	745
Editorial Board	714
Editorial Board	703
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	691
Self-supervised learning of neighborhood embedding for longitudinal MRI	591
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]	450
Facial appearance prediction for orthognathic surgery with diffusion models	419
AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction	416
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	398
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	393
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	322
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability	303
Disentangled generative uncertainty-aware multi-modal diffusion segmentation of medical images	271
GiTNet: A graph-based trajectory-informed network for gaze-supervised medical image segmentation	235
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	233
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	222
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	210
Asymmetric fiber orientation distribution estimation via unsupervised deep learning	205
Hippocampal surface morphological variation-based genome-wide association analysis network for biomarker detection of Alzheimer’s disease	203
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	202
Decoding the surgical scene: A scoping review of scene graphs in surgery	188
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	176

Cycle-constrained adversarial denoising convolutional network for PET image denoising: Multi-dimensional validation on large datasets with reader study and real low-dose data	176
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	176
TestFit: A plug-and-play one-pass test time method for medical image segmentation	173
Low-field magnetic resonance image enhancement via stochastic image quality transfer	171
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	162
3D multi-modality Transformer-GAN for high-quality PET reconstruction	161
Latent Transformer Models for out-of-distribution detection	158
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	157
Robust deep learning-based semantic organ segmentation in hyperspectral images	144
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	142
Editorial Board	138
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	135
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	134
Learning what and where to segment: A new perspective on medical image few-shot segmentation	134
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	133
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	132
GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence	127
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	122
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	119
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	110
SicTTA: Single image continual test time adaptation for medical image segmentation	109
SAM-Swin: SAM-driven dual-swin transformers with adaptive lesion enhancement for Laryngo-Pharyngeal tumor detection	108
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	108
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	105
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	100
Dynamic feature splicing for few-shot rare disease diagnosis	100
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	99
Recovering intrinsic conduction velocity and action potential duration from electroanatomic mapping data using curvature	97
What matters in reinforcement learning for tractography	97
Multimodal medical endoscopic image analysis via progressive disentangle-aware contrastive learning	97
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	96
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	96
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	95
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	93
From model based to learned regularization in medical image registration: A comprehensive review	92
Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components	92
DermX: An end-to-end framework for explainable automated dermatological diagnosis	91
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR	91
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	90
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	90
A causality-inspired generalized model for automated pancreatic cancer diagnosis	89
A robust image segmentation and synthesis pipeline for histopathology	89
Surface deformation tracking in monocular laparoscopic video	87
An efficient, scalable, and adaptable plug-and-play temporal attention module for motion-guided cardiac segmentation with sparse temporal labels	86
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction	86
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	84
MG-3D: Multi-grained knowledge-enhanced vision-language pre-training for 3D medical image analysis	83
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	83
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	79
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	79

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	78
MI2-Net: A Mamba-based Network for Joint Incomplete Multi-Modal and Incomplete Label MRI Image Segmentation	77
On the challenges and perspectives of foundation models for medical image analysis	76
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	74
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery	74
SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation	74
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis	74
From noisy labels to intrinsic structure: A geometric–structural dual-guided framework for noise-robust medical image segmentation	73
Trimming-then-augmentation: Towards robust depth and odometry estimation for endoscopic images	73
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	73
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI	72
A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction	72
Robust simultaneous multislice MRI reconstruction using slice-wise learned generative diffusion priors	69
Generating realistic single-cell images from CellProfiler representations	68
Individualized mapping of aberrant cortical thickness via stochastic cortical self-reconstruction	67
CP-Net: Instance-aware part segmentation network for biological cell parsing	67
Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image	65
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion	65
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT	65
Learning robust medical image segmentation from multi-source annotations	65
Fine-grained and multi-pattern anti-nuclear antibody recognition: A new dataset and framework	64
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis	63
PTCMIL: multiple instance learning via prompt token clustering for whole slide image analysis	63
Eliminating domain-related confounding factors in cross-domain one-shot medical image segmentation via causal inference	63
Prediction of post-stroke brain swelling using biomechanical modelling and deep neural networks	63
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration	62
Robust image representations with counterfactual contrastive learning	62
WarpDrive: Improving spatial normalization using manual refinements	62
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation	62
Re-identification from histopathology images	62
Enhancing uncertainty assessment in dynamic PET imaging with residual permutation and clustering	61
NeuroDetour: A neural pathway transformer for uncovering structural-functional coupling mechanisms in human connectome	61
Dual-modality visual feature flow for medical report generation	61
Learning multi-modal representations by watching hundreds of surgical video lectures	61
MICCAI STS 2024 challenge: Semi-supervised instance-level tooth segmentation in panoramic X-ray and CBCT images	60
Dual selective gleason pattern-aware multiple instance learning with uncertainty regularization for grade group prediction in histopathology images	60
Unsupervised 4D-flow MRI reconstruction based on partially-independent generative modeling and complex-difference sparsity constraint	59
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction	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	58
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease	58
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge	57
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	57
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping	57
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	56
UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness	56
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation	56
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation	56
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography	55
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation	55
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition	54
Texture-preserving diffusion model for CBCT-to-CT synthesis	54
SEQUAL: Self-refining and effective querying active learning with pseudo label divergence score for carotid intima-media segmentation in ultrasound	54
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling	54
Translating MRI to PET through conditional diffusion models with enhanced pathology awareness	54
Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation	53
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI	53
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound	52
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation	52
Which images to label for few-shot medical image analysis?	52
ISDR-Net: Interpretable Self-Supervised Differentiable Rendering Network for monocular dynamic sensor–head pose tracking and registration	52
Tumor radiogenomics in gliomas with Bayesian layered variable selection	52
Unpaired, unsupervised domain adaptation assumes your domains are already similar	52
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data	51
Focused active learning for histopathological image classification	51
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields	51
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation	50
MADAT: Missing-aware dynamic adaptive transformer model for medical prognosis prediction with incomplete multimodal data	50
Mapping medical image-text to a joint space via masked modeling	50
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data	50
Neighbor-aware calibration of segmentation networks with penalty-based constraints	50
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation	50
Diffusion tensor transformation for personalizing target volumes in radiation therapy	50
Dynamical multi-order responses and global semantic-infused adversarial learning: A robust airway segmentation method	49
Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer’s disease	49
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans	49
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer	49
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery	49
Personalized dental crown design: A point-to-mesh completion network	49
Sketch-based semantic retrieval of medical images	48

uFLIM — Unsupervised analysis of FLIM-FRET microscopy data	48
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation	47
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding	47
Monocular pose estimation of articulated open surgery tools - in the wild	47
Vessel-targeted compensation of deformable motion in interventional cone-beam CT	47
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields	47
Editorial for the MEDIA MICCAI special issue 2021	47
ViFIT-assisted histopathology: From H&E style standardization to virtual fiber image transformation	46
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity	46
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	46
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology	45
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome	45
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available	45
Advancing federated semi-supervised medical image segmentation: A duo of interactive denoising pseudo-labels and convolutional contrastive learning	44
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images	44
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis	44
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation	44
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation	43
A generic fundus image enhancement network boosted by frequency self-supervised representation learning	43
Boundary-rendering network for breast lesion segmentation in ultrasound images	43
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning	43
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	43
Unsupervised pre-training of graph transformers on patient population graphs	43
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023	42
Comparative survey of multigraph integration methods for holistic brain connectivity mapping	42
DDTracking: A diffusion model-based deep generative framework with local-global spatiotemporal modeling for diffusion MRI tractography	42
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	42
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	42
Corrigendum to “Cooperative multi-task learning and interpretable image biomarkers for glioma grading and molecular subtyping” [Medical Image Analysis 101 (2025) 103435]	42
Shadow defense against gradient inversion attack in federated learning	41
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge	41
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention	41
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	41
Interpretable vertebral fracture quantification via anchor-free landmarks localization	41
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke	41
Mutual consistency learning for semi-supervised medical image segmentation	41
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge	40
D-EDL: Differential evidential deep learning for robust medical out-of-distribution detection	40
AgGAN: Anatomy-guided generative adversarial network to synthesize arterial spin labeling images for cerebral blood flow measurement under simulated microgravity	40
Medical Image Analysis – Special Issue FIMH 2023	40
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography	39
DVAP-Reg: Dual-view anatomical prior-driven cross-dimensional registration for spinal surgery navigation	39
HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC	39
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]	39
Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods	39
Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment	39
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images	39
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation	38
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain	38
ViTAE-HGOT: Vision Transformer-based Autoencoder with Hypergraph Optimal Transport for cross-atlas functional connectome remapping	38
	38
Incorporating modality-specific intensity prior as text prompt for multimodal myocardial pathology segmentation	38
Deep learning for computational cytology: A survey	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
Unsupervised single-domain generalization for tissue classification via progressive domain transformation	38
Context-enriched contrastive auto-encoder with topology learning for medical hyperspectral image classification to diagnose tumors	38
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	37
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data	37
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images	37
SimIntestine: A synthetic dataset from virtual capsule endoscope	37
Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353]	37
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks	37
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning	37
Report is a mixture of topics: Topic-guided radiology report generation	37
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	37
SAM-driven cross prompting with adaptive sampling consistency for semi-supervised medical image segmentation	37
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	37
Controllable illumination invariant GAN for diverse temporally-consistent surgical video synthesis	37
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer	37
Editorial Board	36
Patherea: Cell detection and classification for the 2020s	36
Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation	36
Deblurring masked image modeling for ultrasound image analysis	36
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction	36
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	36
Object recognition in medical images via anatomy-guided deep learning	35
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis	35
Cross-center Model Adaptive Tooth segmentation	35
A topology-preserving three-stage framework for fully-connected coronary artery extraction	35
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	35
Deformation equivariant cross-modality image synthesis with paired non-aligned training data	35
A novel image-guided robotic system with motion compensation for intraoperative radiation-free localization of pulmonary nodules	35
Confidence-aware multi-modality learning for eye disease screening	35
Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis	35
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	35
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information	35
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling	34
IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry	34
Deep generation of personalized connectomes based on individual attributes	34
PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRI	34
Generating synthetic MRI scans for improving Alzheimer’s disease diagnosis	34
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net	34
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis	34
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data	34