Medical Image Analysis

Article	Citations
Editorial Board	683
Editorial Board	607
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	587
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	537
MIST: Multi-instance selective transformer for histopathological subtype prediction	432
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier	424
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	420
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	389
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	388
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	369
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	348
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	321
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	311
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]	251
Multimodal super-resolved q-space deep learning	251
Latent Transformer Models for out-of-distribution detection	227
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	225
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	213
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	207
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	205
TestFit: A plug-and-play one-pass test time method for medical image segmentation	205
Compare and contrast: Detecting mammographic soft-tissue lesions with C2	173
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	164
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	163
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	162

CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	159
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	157
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	157
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	151
Self-supervised learning of neighborhood embedding for longitudinal MRI	148
Robust deep learning-based semantic organ segmentation in hyperspectral images	148
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	143
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	139
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	137
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	137
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	129
3D multi-modality Transformer-GAN for high-quality PET reconstruction	125
Low-field magnetic resonance image enhancement via stochastic image quality transfer	123
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	121
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	116
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	116
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	114
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	113
Validation of 4D Flow based relative pressure maps in aortic flows	107
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	106
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	105
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling	101
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	101
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment	99
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	98
What matters in reinforcement learning for tractography	96
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds	95
Editorial Board	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 learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	90
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	90
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	88
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	88
Surface deformation tracking in monocular laparoscopic video	87
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	87
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	87
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	86
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	85
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	85
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	82
A robust image segmentation and synthesis pipeline for histopathology	82
Dynamic feature splicing for few-shot rare disease diagnosis	82
A transfer learning approach to few-shot segmentation of novel white matter tracts	81
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	80
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	80
A causality-inspired generalized model for automated pancreatic cancer diagnosis	80
Learning what and where to segment: A new perspective on medical image few-shot segmentation	78
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	78
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	78
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	77

Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	77
On the challenges and perspectives of foundation models for medical image analysis	77
DermX: An end-to-end framework for explainable automated dermatological diagnosis	77
Loss odyssey in medical image segmentation	76
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis	75
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	75
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction	74
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information	74
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge	73
A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering	71
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI	71
A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans	71
Re-identification from histopathology images	70
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease	70
Editorial Board	69
Dual-modality visual feature flow for medical report generation	67
Learning robust medical image segmentation from multi-source annotations	67
CP-Net: Instance-aware part segmentation network for biological cell parsing	67
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT	66
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations	65
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping	64
Generating realistic single-cell images from CellProfiler representations	64
Predicting brain structural network using functional connectivity	63
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation	63
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	62
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration	62
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation	62
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion	62
WarpDrive: Improving spatial normalization using manual refinements	61
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	61
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	61
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	60
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis	60
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis	60
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery	60
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation	59
Artifact- and content-specific quality assessment for MRI with image rulers	59
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation	58
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation	58
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling	58
GAN-based disentanglement learning for chest X-ray rib suppression	58
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography	57
Tumor radiogenomics in gliomas with Bayesian layered variable selection	57
Unpaired, unsupervised domain adaptation assumes your domains are already similar	57
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment	56
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans	55
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields	55
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI	54
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation	54
Focused active learning for histopathological image classification	54
Neighbor-aware calibration of segmentation networks with penalty-based constraints	54
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation	53
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI	52
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data	51
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition	51
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data	51
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
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization	51
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation	50
dStripe: Slice artefact correction in diffusion MRI via constrained neural network	50
Texture-preserving diffusion model for CBCT-to-CT synthesis	50
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography	50
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection	50
A deep joint sparse non-negative matrix factorization framework for identifying the common and subject-specific functional units of tongue motion during speech	49
TW-GAN: Topology and width aware GAN for retinal artery/vein classification	49
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training	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
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images	49
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia	49
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery	48
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages	48
Editorial for the MEDIA MICCAI special issue 2021	47
Which images to label for few-shot medical image analysis?	47
Diffusion tensor transformation for personalizing target volumes in radiation therapy	47
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain	46
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis	46
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization	46
Vessel-targeted compensation of deformable motion in interventional cone-beam CT	46

Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome	45
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images	45
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition	45
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network	45
Contour proposal networks for biomedical instance segmentation	45
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	45
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields	45
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention	45
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	45
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge	44
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity	44
Monocular pose estimation of articulated open surgery tools - in the wild	44
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	44
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data	44
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation	44
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	43
Comparative survey of multigraph integration methods for holistic brain connectivity mapping	43
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation	43
Complex fracture reduction by exact identification of the fracture zone	43
Sketch-based semantic retrieval of medical images	43
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping	42
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation	42
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning	42
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding	42
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	42
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology	42
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images	41
Unsupervised pre-training of graph transformers on patient population graphs	41
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation	41
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available	41
Boundary-rendering network for breast lesion segmentation in ultrasound images	41
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging	41
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	41
Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity	40
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke	40
Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke	40
Mutual consistency learning for semi-supervised medical image segmentation	40
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023	40
A generic fundus image enhancement network boosted by frequency self-supervised representation learning	39
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	39
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation	39
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	38
Editorial Board	38
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	38
Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate	38
Soft and self constrained clustering for group-based labeling	38
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo	38
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks	38
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]	38
Deep low-Rank plus sparse network for dynamic MR imaging	38
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain	37
Medical Image Analysis – Special Issue FIMH 2023	37
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography	37
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images	37
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation	37
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning	37
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation	37
Deep learning for computational cytology: A survey	36
Federated learning for computational pathology on gigapixel whole slide images	36
Interpretable vertebral fracture quantification via anchor-free landmarks localization	36
HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC	36
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction	35
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	35
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network	35
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	35
Cross-center Model Adaptive Tooth segmentation	35
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images	35
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation	35
Editorial Board	35
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	35
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data	35
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	35
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease	34
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration	34
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability	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
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis	34
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks	34
Keyhole-aware laparoscopic augmented reality	34
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement	34
Confidence-aware multi-modality learning for eye disease screening	34
Tracking and mapping in medical computer vision: A review	34
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks	34
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure	33
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	33
High resolution histopathology image generation and segmentation through adversarial training	33
A topology-preserving three-stage framework for fully-connected coronary artery extraction	33
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information	33
Report is a mixture of topics: Topic-guided radiology report generation	33
Deblurring masked image modeling for ultrasound image analysis	33
Deep probabilistic tracking of particles in fluorescence microscopy images	32
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	32
Deformation equivariant cross-modality image synthesis with paired non-aligned training data	32
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net	32
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images	32