Medical Image Analysis

Article	Citations
Editorial Board	719
Editorial Board	646
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	620
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	578
MIST: Multi-instance selective transformer for histopathological subtype prediction	441
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	435
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier	419
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	383
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	376
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]	357
TestFit: A plug-and-play one-pass test time method for medical image segmentation	316
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	271
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	263
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	253
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	247
Low-field magnetic resonance image enhancement via stochastic image quality transfer	238
Editorial Board	214
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	210
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	180
Self-supervised learning of neighborhood embedding for longitudinal MRI	175
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	170
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	165
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	162
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	157
Latent Transformer Models for out-of-distribution detection	155

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	152
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	150
Robust deep learning-based semantic organ segmentation in hyperspectral images	148
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	144
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	138
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	137
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	132
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	127
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	118
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	117
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	116
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	114
3D multi-modality Transformer-GAN for high-quality PET reconstruction	112
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	110
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	106
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	102
Validation of 4D Flow based relative pressure maps in aortic flows	102
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	100
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	97
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	95
What matters in reinforcement learning for tractography	95
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	94
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds	94
Editorial Board	93
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	93
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	92
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	91
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	90
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	89
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	89
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	88
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment	88
A transfer learning approach to few-shot segmentation of novel white matter tracts	88
Surface deformation tracking in monocular laparoscopic video	88
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	84
Dynamic feature splicing for few-shot rare disease diagnosis	84
A causality-inspired generalized model for automated pancreatic cancer diagnosis	84
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	82
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	81
Learning what and where to segment: A new perspective on medical image few-shot segmentation	81
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	81
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	81
A robust image segmentation and synthesis pipeline for histopathology	80
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	79
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	79
On the challenges and perspectives of foundation models for medical image analysis	79
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	79
DermX: An end-to-end framework for explainable automated dermatological diagnosis	78
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	78

A multimodal deep learning model for cardiac resynchronisation therapy response prediction	78
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	77
A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering	76
Re-identification from histopathology images	75
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease	75
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis	73
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge	71
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	70
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis	68
Predicting brain structural network using functional connectivity	68
Editorial Board	67
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion	67
Dual-modality visual feature flow for medical report generation	66
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation	65
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations	65
A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans	64
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping	64
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	64
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration	64
Learning robust medical image segmentation from multi-source annotations	63
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	63
WarpDrive: Improving spatial normalization using manual refinements	63
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation	63
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery	62
CP-Net: Instance-aware part segmentation network for biological cell parsing	62
Artifact- and content-specific quality assessment for MRI with image rulers	61
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI	60
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT	60
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis	59
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information	59
Generating realistic single-cell images from CellProfiler representations	58
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-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction	57
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation	57
GAN-based disentanglement learning for chest X-ray rib suppression	56
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation	56
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling	55
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation	55
Tumor radiogenomics in gliomas with Bayesian layered variable selection	54
dStripe: Slice artefact correction in diffusion MRI via constrained neural network	53
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI	53
A deep joint sparse non-negative matrix factorization framework for identifying the common and subject-specific functional units of tongue motion during speech	53
Diffusion tensor transformation for personalizing target volumes in radiation therapy	53
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography	53
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields	52
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation	52
Neighbor-aware calibration of segmentation networks with penalty-based constraints	52
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition	51
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization	51
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery	50
Focused active learning for histopathological image classification	50
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound	50
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection	50
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment	50
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation	49
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation	49
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training	49
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI	49
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images	48
TW-GAN: Topology and width aware GAN for retinal artery/vein classification	48
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages	48
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans	48
Which images to label for few-shot medical image analysis?	47
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia	47
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer	47
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data	47
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data	46
Mapping medical image-text to a joint space via masked modeling	46
Editorial for the MEDIA MICCAI special issue 2021	46
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI	46
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography	46
Texture-preserving diffusion model for CBCT-to-CT synthesis	46
Unpaired, unsupervised domain adaptation assumes your domains are already similar	46
Personalized dental crown design: A point-to-mesh completion network	46
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields	45
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis	45
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain	45
Vessel-targeted compensation of deformable motion in interventional cone-beam CT	45
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization	44
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	43

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available	43
A generic fundus image enhancement network boosted by frequency self-supervised representation learning	43
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding	43
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network	43
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	43
Contour proposal networks for biomedical instance segmentation	43
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images	42
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition	42
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	42
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	42
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome	42
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity	42
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation	41
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation	41
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	41
Complex fracture reduction by exact identification of the fracture zone	41
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	41
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation	41
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention	41
Unsupervised pre-training of graph transformers on patient population graphs	40
Comparative survey of multigraph integration methods for holistic brain connectivity mapping	40
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data	40
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation	39
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging	39
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images	39
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke	39
Monocular pose estimation of articulated open surgery tools - in the wild	39
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation	39
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023	38
Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke	38
Boundary-rendering network for breast lesion segmentation in ultrasound images	38
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning	38
Mutual consistency learning for semi-supervised medical image segmentation	38
Sketch-based semantic retrieval of medical images	38
Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity	38
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	38
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge	38
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology	38
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	38
Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate	38
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks	37
Soft and self constrained clustering for group-based labeling	37
Interpretable vertebral fracture quantification via anchor-free landmarks localization	37
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]	37
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain	37
Editorial Board	37
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images	37
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation	36
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	36
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images	36
Deep learning for computational cytology: A survey	36
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation	36
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network	36
Deep low-Rank plus sparse network for dynamic MR imaging	36
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning	36
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	36
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography	36
Federated learning for computational pathology on gigapixel whole slide images	36
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo	36
Medical Image Analysis – Special Issue FIMH 2023	35
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data	35
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation	35
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	35
Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment	35
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction	34
Editorial Board	34
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	34
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	33
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure	33
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	33
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer	33
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images	33
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references	33
Cross-center Model Adaptive Tooth segmentation	33
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement	33
Deformation equivariant cross-modality image synthesis with paired non-aligned training data	33
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	33
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability	32
Deep reinforcement learning in medical imaging: A literature review	32
Keyhole-aware laparoscopic augmented reality	32
High resolution histopathology image generation and segmentation through adversarial training	32
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling	32
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease	32
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models	32
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration	32
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data	32
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis	32
Deblurring masked image modeling for ultrasound image analysis	32
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis	32
Tracking and mapping in medical computer vision: A review	31
Object recognition in medical images via anatomy-guided deep learning	31
Report is a mixture of topics: Topic-guided radiology report generation	31
Deep probabilistic tracking of particles in fluorescence microscopy images	31
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net	31
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information	31