Medical Image Analysis

Article	Citations
Editorial Board	746
Editorial Board	671
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	659
MIST: Multi-instance selective transformer for histopathological subtype prediction	602
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier	457
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	453
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	444
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]	396
Editorial Board	393
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	384
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	302
Self-supervised learning of neighborhood embedding for longitudinal MRI	290
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	282
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	263
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	244
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	223
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	219
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	194
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	182
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	176
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	173
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	165
Low-field magnetic resonance image enhancement via stochastic image quality transfer	164
Robust deep learning-based semantic organ segmentation in hyperspectral images	160
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	153

TestFit: A plug-and-play one-pass test time method for medical image segmentation	153
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	153
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	148
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	145
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	144
Latent Transformer Models for out-of-distribution detection	143
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	128
3D multi-modality Transformer-GAN for high-quality PET reconstruction	125
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	124
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	120
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	116
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	115
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	114
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	112
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	112
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	107
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds	103
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	100
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	100
Validation of 4D Flow based relative pressure maps in aortic flows	98
A causality-inspired generalized model for automated pancreatic cancer diagnosis	97
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	97
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	96
What matters in reinforcement learning for tractography	95
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	95
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	94
A robust image segmentation and synthesis pipeline for histopathology	94
Editorial Board	94
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	93
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	92
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	92
Dynamic feature splicing for few-shot rare disease diagnosis	91
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	91
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	90
DermX: An end-to-end framework for explainable automated dermatological diagnosis	90
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	89
Surface deformation tracking in monocular laparoscopic video	88
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	88
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	87
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	85
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	85
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	83
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	83
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	83
Learning what and where to segment: A new perspective on medical image few-shot segmentation	83
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	82
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	82
On the challenges and perspectives of foundation models for medical image analysis	81
A transfer learning approach to few-shot segmentation of novel white matter tracts	81
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	81

TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis	80
Dual-modality visual feature flow for medical report generation	78
Re-identification from histopathology images	78
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	77
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	76
Learning robust medical image segmentation from multi-source annotations	76
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration	73
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI	72
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge	69
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation	68
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery	68
Generating realistic single-cell images from CellProfiler representations	67
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information	66
WarpDrive: Improving spatial normalization using manual refinements	66
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis	66
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction	65
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis	65
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
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation	64
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT	64
Artifact- and content-specific quality assessment for MRI with image rulers	63
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion	61
CP-Net: Instance-aware part segmentation network for biological cell parsing	61
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping	60
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease	60
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations	60
Predicting brain structural network using functional connectivity	59
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation	58
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	58
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling	56
GAN-based disentanglement learning for chest X-ray rib suppression	56
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation	55
Tumor radiogenomics in gliomas with Bayesian layered variable selection	55
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography	54
Diffusion tensor transformation for personalizing target volumes in radiation therapy	54
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI	54
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI	53
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields	53
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI	53
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition	52
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation	52
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound	52
Neighbor-aware calibration of segmentation networks with penalty-based constraints	52
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery	52
TW-GAN: Topology and width aware GAN for retinal artery/vein classification	51
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training	51
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography	51
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation	51
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data	51
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection	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
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation	49
Mapping medical image-text to a joint space via masked modeling	49
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation	49
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment	48
dStripe: Slice artefact correction in diffusion MRI via constrained neural network	48
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer	48
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization	48
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans	48
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia	47
Texture-preserving diffusion model for CBCT-to-CT synthesis	47
Which images to label for few-shot medical image analysis?	46
Focused active learning for histopathological image classification	46
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages	46
Unpaired, unsupervised domain adaptation assumes your domains are already similar	46
Editorial for the MEDIA MICCAI special issue 2021	46
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields	45
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization	45
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis	45
Unsupervised pre-training of graph transformers on patient population graphs	44
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding	44
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	44
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available	44
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	44
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning	43
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain	43
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	43
Vessel-targeted compensation of deformable motion in interventional cone-beam CT	43
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	43

Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke	43
Contour proposal networks for biomedical instance segmentation	43
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images	42
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation	42
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity	42
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention	42
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome	42
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data	42
Monocular pose estimation of articulated open surgery tools - in the wild	41
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation	41
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation	41
Comparative survey of multigraph integration methods for holistic brain connectivity mapping	41
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation	41
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	40
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	40
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images	40
Mutual consistency learning for semi-supervised medical image segmentation	40
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	40
A generic fundus image enhancement network boosted by frequency self-supervised representation learning	40
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke	40
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge	39
Sketch-based semantic retrieval of medical images	39
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023	39
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology	39
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network	39
Boundary-rendering network for breast lesion segmentation in ultrasound images	39
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	39
Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity	39
Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate	38
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network	38
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging	38
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks	38
Editorial Board	38
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition	38
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]	38
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images	37
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain	37
Interpretable vertebral fracture quantification via anchor-free landmarks localization	37
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation	37
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography	37
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation	37
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo	37
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation	37
Medical Image Analysis – Special Issue FIMH 2023	36
Federated learning for computational pathology on gigapixel whole slide images	36
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images	36
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning	36
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data	36
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	36
Deep low-Rank plus sparse network for dynamic MR imaging	36
Deep learning for computational cytology: A survey	36
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	36
Editorial Board	36
A topology-preserving three-stage framework for fully-connected coronary artery extraction	35
Cross-center Model Adaptive Tooth segmentation	35
Report is a mixture of topics: Topic-guided radiology report generation	35
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction	35
Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353]	34
Tracking and mapping in medical computer vision: A review	34
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement	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
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	34
Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation	33
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks	33
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis	33
Keyhole-aware laparoscopic augmented reality	33
Deformation equivariant cross-modality image synthesis with paired non-aligned training data	33
High resolution histopathology image generation and segmentation through adversarial training	33
Object recognition in medical images via anatomy-guided deep learning	33
Confidence-aware multi-modality learning for eye disease screening	33
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration	33
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models	33
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability	33
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling	32
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis	32
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information	32
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net	32
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	32
Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation	32
Deblurring masked image modeling for ultrasound image analysis	32
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references	32
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	32
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease	32
Nested star-shaped objects segmentation using diameter annotations	32
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data	32
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	32
Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem	32
Deep reinforcement learning in medical imaging: A literature review	32
Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images	31
A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI	31
UnICLAM: Contrastive representation learning with adversarial masking for unified and interpretable Medical Vision Question Answering	31
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning	31
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks	31
Recurrent inference machines as inverse problem solvers for MR relaxometry	31
MedLSAM: Localize and segment anything model for 3D CT images	31