Medical Image Analysis

Papers
(The median citation count of Medical Image Analysis is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
TestFit: A plug-and-play one-pass test time method for medical image segmentation613
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy545
Editorial Board520
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding487
Editorial Board404
Compare and contrast: Detecting mammographic soft-tissue lesions with C2393
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 surgery371
MIST: Multi-instance selective transformer for histopathological subtype prediction346
Self-supervised learning of neighborhood embedding for longitudinal MRI329
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging298
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse291
Multimodal super-resolved q-space deep learning277
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy228
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 Learning218
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment207
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data196
3D multi-modality Transformer-GAN for high-quality PET reconstruction196
Low-field magnetic resonance image enhancement via stochastic image quality transfer191
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images190
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier186
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI183
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation171
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis153
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity153
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images152
Latent Transformer Models for out-of-distribution detection146
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI146
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos145
Robust deep learning-based semantic organ segmentation in hyperspectral images145
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification134
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images132
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge132
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography131
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images130
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation130
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification125
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method124
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis122
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT121
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images117
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474117
Simultaneous multi-slice image reconstruction using regularized image domain split slice-GRAPPA for diffusion MRI111
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization111
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue111
Validation of 4D Flow based relative pressure maps in aortic flows109
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study109
What matters in reinforcement learning for tractography100
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI100
A transfer learning approach to few-shot segmentation of novel white matter tracts99
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints98
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images98
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents94
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images92
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling89
A robust image segmentation and synthesis pipeline for histopathology89
Learning what and where to segment: A new perspective on medical image few-shot segmentation88
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction88
Dynamic feature splicing for few-shot rare disease diagnosis88
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning88
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training87
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room87
Editorial Board86
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery85
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics83
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification82
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds82
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation80
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment80
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement79
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images78
Surface deformation tracking in monocular laparoscopic video75
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation75
A multimodal deep learning model for cardiac resynchronisation therapy response prediction74
A causality-inspired generalized model for automated pancreatic cancer diagnosis74
On the challenges and perspectives of foundation models for medical image analysis74
DermX: An end-to-end framework for explainable automated dermatological diagnosis74
Loss odyssey in medical image segmentation73
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease73
A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans73
Generating realistic single-cell images from CellProfiler representations72
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acqu71
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration71
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT70
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations69
Artifact- and content-specific quality assessment for MRI with image rulers69
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation69
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey68
WarpDrive: Improving spatial normalization using manual refinements67
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction67
Editorial Board67
Predicting future cognitive decline with hyperbolic stochastic coding66
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion66
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images66
Dual-modality visual feature flow for medical report generation66
Learning robust medical image segmentation from multi-source annotations65
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages64
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery64
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge63
CP-Net: Instance-aware part segmentation network for biological cell parsing63
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation62
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI62
A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering61
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis61
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis61
Re-identification from histopathology images61
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information60
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation60
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping60
Predicting brain structural network using functional connectivity60
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 MRI59
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis59
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation58
Texture-preserving diffusion model for CBCT-to-CT synthesis58
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation58
GAN-based disentanglement learning for chest X-ray rib suppression57
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling57
Personalized dental crown design: A point-to-mesh completion network57
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation56
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition55
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images55
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection55
Fitting unbranching skeletal structures to objects55
Unpaired, unsupervised domain adaptation assumes your domains are already similar55
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI55
Tumor radiogenomics in gliomas with Bayesian layered variable selection54
Diffusion tensor transformation for personalizing target volumes in radiation therapy54
Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery54
A deep joint sparse non-negative matrix factorization framework for identifying the common and subject-specific functional units of tongue motion during speech53
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography53
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment53
dStripe: Slice artefact correction in diffusion MRI via constrained neural network52
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans52
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation52
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer51
Hashimoto’s thyroiditis recognition from multi-modal data via global cross-attention and distance-aware training51
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation50
VR-Caps: A Virtual Environment for Capsule Endoscopy50
World of forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography50
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields50
Neighbor-aware calibration of segmentation networks with penalty-based constraints50
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data49
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI49
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization49
Mapping medical image-text to a joint space via masked modeling49
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages49
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia48
TW-GAN: Topology and width aware GAN for retinal artery/vein classification48
Focused active learning for histopathological image classification47
Sketch-based semantic retrieval of medical images47
Editorial for the MEDIA MICCAI special issue 202147
Comparative survey of multigraph integration methods for holistic brain connectivity mapping47
Metadata-enhanced contrastive learning from retinal optical coherence tomography images46
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity46
Vessel-targeted compensation of deformable motion in interventional cone-beam CT46
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative46
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis45
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization45
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation45
uFLIM — Unsupervised analysis of FLIM-FRET microscopy data45
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available45
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain45
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields45
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition44
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 202344
Unsupervised pre-training of graph transformers on patient population graphs44
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation44
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation44
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning44
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention44
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry43
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network43
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images43
Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity43
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge43
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors43
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging43
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation42
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome42
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke42
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging41
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping41
Complex fracture reduction by exact identification of the fracture zone41
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding40
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer39
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images39
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images39
Contour proposal networks for biomedical instance segmentation39
Boundary-rendering network for breast lesion segmentation in ultrasound images39
Mutual consistency learning for semi-supervised medical image segmentation39
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks38
A generic fundus image enhancement network boosted by frequency self-supervised representation learning38
Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke38
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 segmentation38
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning38
Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate38
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology38
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation37
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo37
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images37
Medical Image Analysis – Special Issue FIMH 202337
Editorial Board37
Soft and self constrained clustering for group-based labeling37
Deep low-Rank plus sparse network for dynamic MR imaging37
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning36
Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography36
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation36
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain36
Federated learning for computational pathology on gigapixel whole slide images36
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images36
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data36
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network36
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks35
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier35
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images35
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation35
Object recognition in medical images via anatomy-guided deep learning35
Deep learning for computational cytology: A survey35
Interpretable vertebral fracture quantification via anchor-free landmarks localization35
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer34
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors34
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction34
Editorial Board34
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease33
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references33
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling33
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images33
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis33
Deblurring masked image modeling for ultrasound image analysis33
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data33
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information33
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data33
Cross-center Model Adaptive Tooth segmentation33
Confidence-aware multi-modality learning for eye disease screening33
Deep probabilistic tracking of particles in fluorescence microscopy images33
High resolution histopathology image generation and segmentation through adversarial training33
OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery32
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure32
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)32
Tracking and mapping in medical computer vision: A review32
Deformation equivariant cross-modality image synthesis with paired non-aligned training data32
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement32
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability31
MedLSAM: Localize and segment anything model for 3D CT images31
Keyhole-aware laparoscopic augmented reality31
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning31
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration31
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