Medical Image Analysis

Article	Citations
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability	1042
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	976
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	928
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	898
MIST: Multi-instance selective transformer for histopathological subtype prediction	854
Editorial Board	657
Editorial Board	638
Editorial Board	603
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	602
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	498
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	403
Self-supervised learning of neighborhood embedding for longitudinal MRI	362
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	358
Hippocampal surface morphological variation-based genome-wide association analysis network for biomarker detection of Alzheimer’s disease	357
Asymmetric fiber orientation distribution estimation via unsupervised deep learning	313
Robust deep learning-based semantic organ segmentation in hyperspectral images	282
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	252
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]	244
Cycle-constrained adversarial denoising convolutional network for PET image denoising: Multi-dimensional validation on large datasets with reader study and real low-dose data	209
Facial appearance prediction for orthognathic surgery with diffusion models	206
Latent Transformer Models for out-of-distribution detection	200
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	193
AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction	193
3D multi-modality Transformer-GAN for high-quality PET reconstruction	190
Low-field magnetic resonance image enhancement via stochastic image quality transfer	186

CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	184
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	171
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	170
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	165
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	162
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	161
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	159
Decoding the surgical scene: A scoping review of scene graphs in surgery	158
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	156
TestFit: A plug-and-play one-pass test time method for medical image segmentation	156
Editorial Board	147
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	145
A robust image segmentation and synthesis pipeline for histopathology	141
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	139
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	139
SAM-Swin: SAM-driven dual-swin transformers with adaptive lesion enhancement for Laryngo-Pharyngeal tumor detection	138
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	138
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	134
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	132
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	127
DermX: An end-to-end framework for explainable automated dermatological diagnosis	126
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction	123
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	120
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	120
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	119
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	119
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	119
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	118
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR	116
Recovering intrinsic conduction velocity and action potential duration from electroanatomic mapping data using curvature	107
Dynamic feature splicing for few-shot rare disease diagnosis	104
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	103
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	99
Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components	97
A transfer learning approach to few-shot segmentation of novel white matter tracts	96
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	93
What matters in reinforcement learning for tractography	90
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	89
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	88
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	88
Surface deformation tracking in monocular laparoscopic video	87
GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence	86
From model based to learned regularization in medical image registration: A comprehensive review	85
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	83
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	83
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	82
An efficient, scalable, and adaptable plug-and-play temporal attention module for motion-guided cardiac segmentation with sparse temporal labels	82
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	81
A causality-inspired generalized model for automated pancreatic cancer diagnosis	79
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	79

On the challenges and perspectives of foundation models for medical image analysis	78
SicTTA: Single image continual test time adaptation for medical image segmentation	78
Learning what and where to segment: A new perspective on medical image few-shot segmentation	77
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	77
Robust image representations with counterfactual contrastive learning	76
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI	75
A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction	75
Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image	75
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping	72
CP-Net: Instance-aware part segmentation network for biological cell parsing	72
Robust simultaneous multislice MRI reconstruction using slice-wise learned generative diffusion priors	71
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration	71
Generating realistic single-cell images from CellProfiler representations	69
Individualized mapping of aberrant cortical thickness via stochastic cortical self-reconstruction	69
Re-identification from histopathology images	69
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction	69
SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation	69
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease	68
Trimming-then-augmentation: Towards robust depth and odometry estimation for endoscopic images	67
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation	67
Unsupervised 4D-flow MRI reconstruction based on partially-independent generative modeling and complex-difference sparsity constraint	67
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge	67
Dual selective gleason pattern-aware multiple instance learning with uncertainty regularization for grade group prediction in histopathology images	66
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	66
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	65
Enhancing uncertainty assessment in dynamic PET imaging with residual permutation and clustering	65
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT	65
WarpDrive: Improving spatial normalization using manual refinements	64
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	62
Learning robust medical image segmentation from multi-source annotations	62
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion	62
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis	60
NeuroDetour: A neural pathway transformer for uncovering structural-functional coupling mechanisms in human connectome	60
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis	60
MICCAI STS 2024 challenge: Semi-supervised instance-level tooth segmentation in panoramic X-ray and CBCT images	60
Predicting brain structural network using functional connectivity	58
Dual-modality visual feature flow for medical report generation	58
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery	58
Learning multi-modal representations by watching hundreds of surgical video lectures	57
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation	57
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI	56
Diffusion tensor transformation for personalizing target volumes in radiation therapy	56
Unpaired, unsupervised domain adaptation assumes your domains are already similar	56
Neighbor-aware calibration of segmentation networks with penalty-based constraints	55
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography	55
Tumor radiogenomics in gliomas with Bayesian layered variable selection	55
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training	54
Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer’s disease	54
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery	54
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields	54
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography	54
Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation	54
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI	53
UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness	52
MADAT: Missing-aware dynamic adaptive transformer model for medical prognosis prediction with incomplete multimodal data	52
Focused active learning for histopathological image classification	52
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI	51
Personalized dental crown design: A point-to-mesh completion network	51
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection	51
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data	51
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation	51
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation	51
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation	50
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation	50
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling	50
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation	50
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound	50
Texture-preserving diffusion model for CBCT-to-CT synthesis	49
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data	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
Mapping medical image-text to a joint space via masked modeling	49
Sketch-based semantic retrieval of medical images	48
Which images to label for few-shot medical image analysis?	48
Dynamical multi-order responses and global semantic-infused adversarial learning: A robust airway segmentation method	48
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition	48
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	48
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization	48
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available	47
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization	47

PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke	47
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images	46
Editorial for the MEDIA MICCAI special issue 2021	46
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge	46
Comparative survey of multigraph integration methods for holistic brain connectivity mapping	46
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data	46
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation	46
Shadow defense against gradient inversion attack in federated learning	46
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023	46
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	46
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields	46
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images	45
Unsupervised pre-training of graph transformers on patient population graphs	45
Monocular pose estimation of articulated open surgery tools - in the wild	45
Vessel-targeted compensation of deformable motion in interventional cone-beam CT	45
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis	44
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
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention	44
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology	43
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation	43
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation	43
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	43
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	42
A generic fundus image enhancement network boosted by frequency self-supervised representation learning	42
Mutual consistency learning for semi-supervised medical image segmentation	42
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	42
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	42
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome	42
Boundary-rendering network for breast lesion segmentation in ultrasound images	42
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning	42
DDTracking: A diffusion model-based deep generative framework with local-global spatiotemporal modeling for diffusion MRI tractography	42
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]	41
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	41
DVAP-Reg: Dual-view anatomical prior-driven cross-dimensional registration for spinal surgery navigation	41
HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC	40
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation	40
Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment	40
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks	40
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography	39
Interpretable vertebral fracture quantification via anchor-free landmarks localization	39
FairREAD: Re-fusing demographic attributes after disentanglement for fair medical image classification	39
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge	38
Medical Image Analysis – Special Issue FIMH 2023	38
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain	38
D-EDL: Differential evidential deep learning for robust medical out-of-distribution detection	38
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation	38
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	37
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning	37
Deep learning for computational cytology: A survey	37
Context-enriched contrastive auto-encoder with topology learning for medical hyperspectral image classification to diagnose tumors	37
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	37
	37
AgGAN: Anatomy-guided generative adversarial network to synthesize arterial spin labeling images for cerebral blood flow measurement under simulated microgravity	37
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images	37
SAM-driven cross prompting with adaptive sampling consistency for semi-supervised medical image segmentation	37
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data	37
Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353]	36
Object recognition in medical images via anatomy-guided deep learning	36
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	36
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling	36
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data	36
Confidence-aware multi-modality learning for eye disease screening	36
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images	36
Report is a mixture of topics: Topic-guided radiology report generation	36
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references	36
Generating synthetic MRI scans for improving Alzheimer’s disease diagnosis	35
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease	35
Controllable illumination invariant GAN for diverse temporally-consistent surgical video synthesis	35
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	35
IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry	35
Patherea: Cell detection and classification for the 2020s	35
SimIntestine: A synthetic dataset from virtual capsule endoscope	35
Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation	35
Keyhole-aware laparoscopic augmented reality	35
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration	35
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
Deep generation of personalized connectomes based on individual attributes	34
Deblurring masked image modeling for ultrasound image analysis	34
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models	34
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information	34
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net	34
A novel image-guided robotic system with motion compensation for intraoperative radiation-free localization of pulmonary nodules	34
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	34
A topology-preserving three-stage framework for fully-connected coronary artery extraction	34
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction	34
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis	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
Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis	33
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning	33
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images	33
Tracking and mapping in medical computer vision: A review	33
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks	33