Medical Image Analysis

Article	Citations
Editorial Board	789
Editorial Board	718
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	705
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	641
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	496
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	490
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	474
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	427
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	423
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	405
MIST: Multi-instance selective transformer for histopathological subtype prediction	382
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]	331
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	299
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	289
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	265
3D multi-modality Transformer-GAN for high-quality PET reconstruction	232
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability	228
Low-field magnetic resonance image enhancement via stochastic image quality transfer	221
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	196
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	185
Self-supervised learning of neighborhood embedding for longitudinal MRI	180
TestFit: A plug-and-play one-pass test time method for medical image segmentation	180
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	177
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	166
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	163

Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier	158
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	157
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	156
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	153
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	151
Robust deep learning-based semantic organ segmentation in hyperspectral images	148
Editorial Board	136
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	130
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	130
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	130
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	128
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	123
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	122
Latent Transformer Models for out-of-distribution detection	122
Editorial Board	121
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	119
Surface deformation tracking in monocular laparoscopic video	117
What matters in reinforcement learning for tractography	117
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	106
A transfer learning approach to few-shot segmentation of novel white matter tracts	106
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	105
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	104
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	104
Validation of 4D Flow based relative pressure maps in aortic flows	104
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	103
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	103
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	102
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	102
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	101
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	100
A robust image segmentation and synthesis pipeline for histopathology	99
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	98
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	97
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	97
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	97
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	96
DermX: An end-to-end framework for explainable automated dermatological diagnosis	96
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	95
On the challenges and perspectives of foundation models for medical image analysis	94
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	94
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	93
Dynamic feature splicing for few-shot rare disease diagnosis	91
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	91
Learning what and where to segment: A new perspective on medical image few-shot segmentation	89
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	87
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	87
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds	86
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	86
A causality-inspired generalized model for automated pancreatic cancer diagnosis	86
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	84

Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	83
Re-identification from histopathology images	83
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis	82
WarpDrive: Improving spatial normalization using manual refinements	81
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information	81
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction	77
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis	77
Robust image representations with counterfactual contrastive learning	75
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	73
CP-Net: Instance-aware part segmentation network for biological cell parsing	73
Dual-modality visual feature flow for medical report generation	71
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge	70
Generating realistic single-cell images from CellProfiler representations	70
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI	70
SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation	68
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation	68
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation	68
Individualized mapping of aberrant cortical thickness via stochastic cortical self-reconstruction	68
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT	68
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis	68
Learning multi-modal representations by watching hundreds of surgical video lectures	67
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion	67
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery	67
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	67
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping	66
Artifact- and content-specific quality assessment for MRI with image rulers	65
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration	63
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations	62
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease	62
Learning robust medical image segmentation from multi-source annotations	62
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	61
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	59
GAN-based disentanglement learning for chest X-ray rib suppression	58
Predicting brain structural network using functional connectivity	58
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation	58
Diffusion tensor transformation for personalizing target volumes in radiation therapy	57
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation	56
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography	56
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling	56
Tumor radiogenomics in gliomas with Bayesian layered variable selection	56
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields	55
Which images to label for few-shot medical image analysis?	55
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery	55
Neighbor-aware calibration of segmentation networks with penalty-based constraints	55
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data	54
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI	54
Focused active learning for histopathological image classification	54
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI	54
TW-GAN: Topology and width aware GAN for retinal artery/vein classification	53
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data	53
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia	53
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography	53
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI	52
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation	52
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization	51
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment	51
dStripe: Slice artefact correction in diffusion MRI via constrained neural network	51
Texture-preserving diffusion model for CBCT-to-CT synthesis	51
Unpaired, unsupervised domain adaptation assumes your domains are already similar	51
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation	50
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training	50
Mapping medical image-text to a joint space via masked modeling	50
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation	50
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection	49
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound	49
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer	49
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans	49
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition	49
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation	49
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages	49
Personalized dental crown design: A point-to-mesh completion network	49
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis	48
Contour proposal networks for biomedical instance segmentation	48
Editorial for the MEDIA MICCAI special issue 2021	48
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization	48
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images	47
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	47
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network	47
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology	47
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	47

The predictive value of segmentation metrics on dosimetry in organs at risk of the brain	47
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge	47
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation	46
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	46
Mutual consistency learning for semi-supervised medical image segmentation	45
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging	45
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	45
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning	45
Sketch-based semantic retrieval of medical images	45
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	45
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention	44
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation	44
Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity	44
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images	43
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available	43
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation	43
Monocular pose estimation of articulated open surgery tools - in the wild	43
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	43
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding	43
Comparative survey of multigraph integration methods for holistic brain connectivity mapping	43
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome	42
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke	42
Shadow defense against gradient inversion attack in federated learning	42
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition	41
Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke	41
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields	41
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	41
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data	41
Vessel-targeted compensation of deformable motion in interventional cone-beam CT	41
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity	41
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation	41
AgGAN: Anatomy-guided generative adversarial network to synthesize arterial spin labeling images for cerebral blood flow measurement under simulated microgravity	40
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]	40
Unsupervised pre-training of graph transformers on patient population graphs	40
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	40
Editorial Board	40
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks	40
A generic fundus image enhancement network boosted by frequency self-supervised representation learning	40
Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate	40
Boundary-rendering network for breast lesion segmentation in ultrasound images	40
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023	40
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography	39
Medical Image Analysis – Special Issue FIMH 2023	39
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning	39
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo	39
HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC	39
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation	39
Deep low-Rank plus sparse network for dynamic MR imaging	38
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	38
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation	38
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images	38
Interpretable vertebral fracture quantification via anchor-free landmarks localization	38
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data	38
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain	38
Object recognition in medical images via anatomy-guided deep learning	37
Federated learning for computational pathology on gigapixel whole slide images	37
Editorial Board	37
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network	37
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	37
Deep learning for computational cytology: A survey	37
Cross-center Model Adaptive Tooth segmentation	37
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation	37
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images	37
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	36
Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation	36
A topology-preserving three-stage framework for fully-connected coronary artery extraction	36
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction	36
Report is a mixture of topics: Topic-guided radiology report generation	36
Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353]	36
Keyhole-aware laparoscopic augmented reality	36
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease	35
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	35
Tracking and mapping in medical computer vision: A review	35
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	35
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement	35
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration	35
Controllable illumination invariant GAN for diverse temporally-consistent surgical video synthesis	35
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis	35
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information	35
Confidence-aware multi-modality learning for eye disease screening	35
A novel image-guided robotic system with motion compensation for intraoperative radiation-free localization of pulmonary nodules	34
High resolution histopathology image generation and segmentation through adversarial training	34
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models	34
SimIntestine: A synthetic dataset from virtual capsule endoscope	34
Deep reinforcement learning in medical imaging: A literature review	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
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis	34
Deblurring masked image modeling for ultrasound image analysis	34
Deformation equivariant cross-modality image synthesis with paired non-aligned training data	34
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net	33
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	33
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks	33
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references	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	33