Medical Image Analysis

Article	Citations
TestFit: A plug-and-play one-pass test time method for medical image segmentation	613
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	545
Editorial Board	520
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	487
Editorial Board	404
Compare and contrast: Detecting mammographic soft-tissue lesions with C2	393
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	376
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	371
MIST: Multi-instance selective transformer for histopathological subtype prediction	346
Self-supervised learning of neighborhood embedding for longitudinal MRI	329
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	298
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	291
Multimodal super-resolved q-space deep learning	277
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	228
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]	222
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	218
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	207
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	196
3D multi-modality Transformer-GAN for high-quality PET reconstruction	196
Low-field magnetic resonance image enhancement via stochastic image quality transfer	191
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	190
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier	186
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	183
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	171
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	153

Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	153
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	152
Latent Transformer Models for out-of-distribution detection	146
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	146
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	145
Robust deep learning-based semantic organ segmentation in hyperspectral images	145
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	134
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	132
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	132
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	131
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	130
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	130
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	125
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method	124
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	122
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	121
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	117
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	117
Simultaneous multi-slice image reconstruction using regularized image domain split slice-GRAPPA for diffusion MRI	111
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	111
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	111
Validation of 4D Flow based relative pressure maps in aortic flows	109
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	109
What matters in reinforcement learning for tractography	100
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	100
A transfer learning approach to few-shot segmentation of novel white matter tracts	99
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	98
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	98
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	94
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	92
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling	89
A robust image segmentation and synthesis pipeline for histopathology	89
Learning what and where to segment: A new perspective on medical image few-shot segmentation	88
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	88
Dynamic feature splicing for few-shot rare disease diagnosis	88
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	88
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	87
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	87
Editorial Board	86
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	85
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	83
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	82
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds	82
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	80
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment	80
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	79
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	78
Surface deformation tracking in monocular laparoscopic video	75
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	75
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	74

A causality-inspired generalized model for automated pancreatic cancer diagnosis	74
On the challenges and perspectives of foundation models for medical image analysis	74
DermX: An end-to-end framework for explainable automated dermatological diagnosis	74
Loss odyssey in medical image segmentation	73
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease	73
A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans	73
Generating realistic single-cell images from CellProfiler representations	72
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	71
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration	71
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT	70
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations	69
Artifact- and content-specific quality assessment for MRI with image rulers	69
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation	69
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	68
WarpDrive: Improving spatial normalization using manual refinements	67
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction	67
Editorial Board	67
Predicting future cognitive decline with hyperbolic stochastic coding	66
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion	66
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	66
Dual-modality visual feature flow for medical report generation	66
Learning robust medical image segmentation from multi-source annotations	65
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	64
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery	64
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge	63
CP-Net: Instance-aware part segmentation network for biological cell parsing	63
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation	62
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI	62
A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering	61
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis	61
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis	61
Re-identification from histopathology images	61
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information	60
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation	60
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping	60
Predicting brain structural network using functional connectivity	60
Which images to label for few-shot medical image analysis?	59
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI	59
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis	59
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation	58
Texture-preserving diffusion model for CBCT-to-CT synthesis	58
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation	58
GAN-based disentanglement learning for chest X-ray rib suppression	57
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling	57
Personalized dental crown design: A point-to-mesh completion network	57
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation	56
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition	55
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images	55
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection	55
Fitting unbranching skeletal structures to objects	55
Unpaired, unsupervised domain adaptation assumes your domains are already similar	55
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI	55
Tumor radiogenomics in gliomas with Bayesian layered variable selection	54
Diffusion tensor transformation for personalizing target volumes in radiation therapy	54
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery	54
A deep joint sparse non-negative matrix factorization framework for identifying the common and subject-specific functional units of tongue motion during speech	53
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography	53
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment	53
dStripe: Slice artefact correction in diffusion MRI via constrained neural network	52
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans	52
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation	52
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer	51
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training	51
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation	50
VR-Caps: A Virtual Environment for Capsule Endoscopy	50
World of forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography	50
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields	50
Neighbor-aware calibration of segmentation networks with penalty-based constraints	50
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data	49
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI	49
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization	49
Mapping medical image-text to a joint space via masked modeling	49
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages	49
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia	48
TW-GAN: Topology and width aware GAN for retinal artery/vein classification	48
Focused active learning for histopathological image classification	47
Sketch-based semantic retrieval of medical images	47
Editorial for the MEDIA MICCAI special issue 2021	47
Comparative survey of multigraph integration methods for holistic brain connectivity mapping	47
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	46

Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity	46
Vessel-targeted compensation of deformable motion in interventional cone-beam CT	46
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	46
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis	45
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization	45
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation	45
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data	45
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available	45
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain	45
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields	45
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition	44
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023	44
Unsupervised pre-training of graph transformers on patient population graphs	44
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation	44
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation	44
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning	44
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention	44
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry	43
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network	43
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images	43
Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity	43
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge	43
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors	43
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging	43
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation	42
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
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	41
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping	41
Complex fracture reduction by exact identification of the fracture zone	41
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding	40
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	39
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	39
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images	39
Contour proposal networks for biomedical instance segmentation	39
Boundary-rendering network for breast lesion segmentation in ultrasound images	39
Mutual consistency learning for semi-supervised medical image segmentation	39
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks	38
A generic fundus image enhancement network boosted by frequency self-supervised representation learning	38
Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke	38
Corrigendum to ‘Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping’ [Medical Image Analysis Volume 75 (2022) 102230]	38
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	38
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning	38
Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate	38
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology	38
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation	37
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo	37
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images	37
Medical Image Analysis – Special Issue FIMH 2023	37
Editorial Board	37
Soft and self constrained clustering for group-based labeling	37
Deep low-Rank plus sparse network for dynamic MR imaging	37
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning	36
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography	36
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation	36
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain	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
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data	36
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network	36
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks	35
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier	35
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images	35
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation	35
Object recognition in medical images via anatomy-guided deep learning	35
Deep learning for computational cytology: A survey	35
Interpretable vertebral fracture quantification via anchor-free landmarks localization	35
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer	34
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	34
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction	34
Editorial Board	34
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease	33
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references	33
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling	33
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images	33
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis	33
Deblurring masked image modeling for ultrasound image analysis	33
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	33
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information	33
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data	33
Cross-center Model Adaptive Tooth segmentation	33
Confidence-aware multi-modality learning for eye disease screening	33
Deep probabilistic tracking of particles in fluorescence microscopy images	33
High resolution histopathology image generation and segmentation through adversarial training	33
OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery	32
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure	32
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	32
Tracking and mapping in medical computer vision: A review	32
Deformation equivariant cross-modality image synthesis with paired non-aligned training data	32
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement	32
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability	31
MedLSAM: Localize and segment anything model for 3D CT images	31
Keyhole-aware laparoscopic augmented reality	31
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	31
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration	31