Medical Image Analysis

Article	Citations
Meta multi-task nuclei segmentation with fewer training samples	470
Simultaneous alignment and surface regression using hybrid 2D–3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations	427
Three-dimensional micro-structurally informed in silico myocardium—Towards virtual imaging trials in cardiac diffusion weighted MRI	381
PneumoLLM: Harnessing the power of large language model for pneumoconiosis diagnosis	369
MIST: Multi-instance selective transformer for histopathological subtype prediction	353
DeepHCS++: Bright-field to f	337
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	335
Low-field magnetic resonance image enhancement via stochastic image quality transfer	330
A survey on deep learning for skin lesion segmentation	303
POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation	276
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	266
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images	236
Medical federated learning with joint graph purification for noisy label learning	229
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks	228
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	221
Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis	188
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images	182
Boundary-aware context neural network for medical image segmentation	177
Fully Automated 3D Segmentation and Diffeomorphic Medial Modeling of the Left Ventricle Mitral Valve Complex in Ischemic Mitral Regurgitation	172
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	170
End-to-End diagnosis of breast biopsy images with transformers	162
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation	160
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	157
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	151
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework	149

Surgical data science – from concepts toward clinical translation	146
Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation	140
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	137
Self-supervised learning of neighborhood embedding for longitudinal MRI	129
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image	121
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation	119
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	119
Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks	117
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	114
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	114
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers	108
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images	107
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks	106
Visually Navigated Bronchoscopy using three cycle-Consistent generative adversarial network for depth estimation	104
Real-time echocardiography image analysis and quantification of cardiac indices	103
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis	103
Evaluation of a novel navigation platform for laparoscopic liver surgery with organ deformation compensation using injected fiducials	103
End-to-end multimodal image registration via reinforcement learning	101
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration	100
A statistical deformation model-based data augmentation method for volumetric medical image segmentation	99
JOSA: Joint surface-based registration and atlas construction of brain geometry and function	99
Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration	97
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data	97
Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity	97
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	96
Suggestive annotation of brain MR images with gradient-guided sampling	94
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement	94
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	93
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	87
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning	86
Prompt tuning for parameter-efficient medical image segmentation	85
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking	84
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	83
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation	82
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	81
PathoDuet: Foundation models for pathological slide analysis of H&E and IHC stains	80
Deblurring masked image modeling for ultrasound image analysis	80
Structure and position-aware graph neural network for airway labeling	77
Deep learning models of cognitive processes constrained by human brain connectomes	76
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability	74
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation	74
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework	74
Monocular endoscope 6-DoF tracking with constrained evolutionary stochastic filtering	74
Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints	72
Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients	72
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer	72
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning	71
Robust deep learning-based semantic organ segmentation in hyperspectral images	69
Multimodal super-resolved q-space deep learning	69
Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT	68

Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks	67
Leveraging unsupervised image registration for discovery of landmark shape descriptor	66
Discriminative error prediction network for semi-supervised colon gland segmentation	65
Capsules for biomedical image segmentation	64
Learning to segment fetal brain tissue from noisy annotations	64
Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network	64
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis	63
TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations	63
A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its Effect on Image Correspondence	63
Editorial Board	62
Compare and contrast: Detecting mammographic soft-tissue lesions with C2	62
Editorial Board	62
Live laparoscopic video retrieval with compressed uncertainty	61
Editorial Board	60
Editorial Board	60
Optimisation of the event-based TOF filtered back-projection for online imaging in total-body J-PET	60
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network	59
Exploring partial intrinsic and extrinsic symmetry in 3D medical imaging	59
Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues	59
Merging nucleus datasets by correlation-based cross-training	58
Connecting macroscopic diffusion metrics of cardiac diffusion tensor imaging and microscopic myocardial structures based on simulation	58
Editorial Board	57
Editorial Board	57
Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis	56
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references	56
Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images	56
Editorial Board	55
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	55
Dynamic multi feature-class Gaussian process models	55
Editorial Board	54
SynCLay: Interactive synthesis of histology images from bespoke cellular layouts	54
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy	54
CartiMorph: A framework for automated knee articular cartilage morphometrics	54
Task sub-type states decoding via group deep bidirectional recurrent neural network	53
TransVFS: A spatio-temporal local–global transformer for vision-based force sensing during ultrasound-guided prostate biopsy	53
A model-based MR parameter mapping network robust to substantial variations in acquisition settings	52
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks	52
OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery	52
The value of Augmented Reality in surgery — A usability study on laparoscopic liver surgery	51
Latent Transformer Models for out-of-distribution detection	51
Editorial Board	51
A deep weakly semi-supervised framework for endoscopic lesion segmentation	51
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction	50
A universal biventricular coordinate system incorporating valve annuli: Validation in congenital heart disease	50
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings	50
Riemannian frameworks for the harmonization of resting-state functional MRI scans	50
Keyhole-aware laparoscopic augmented reality	49
Editorial Board	49
Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks	48
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net	48
Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments	48
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks	48
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure	47
Cobiveco: Consistent biventricular coordinates for precise and intuitive description of position in the heart – with MATLAB implementation	47
Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer's disease	47
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification	47
An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms	47
Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment	47
Deep probabilistic tracking of particles in fluorescence microscopy images	46
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling	46
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images	46
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	45
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data	45
Confidence-aware multi-modality learning for eye disease screening	44
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	44
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)	44
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study	44
Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy	44
A survey on incorporating domain knowledge into deep learning for medical image analysis	44
High resolution histopathology image generation and segmentation through adversarial training	44
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis	43
Directional-TV algorithm for image reconstruction from limited-angular-range data	43
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	43
Anticipation for surgical workflow through instrument interaction and recognized Signals	43
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	43
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	42
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	41
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	41
TestFit: A plug-and-play one-pass test time method for medical image segmentation	41
3D multi-modality Transformer-GAN for high-quality PET reconstruction	41

Cross-modal attention for multi-modal image registration	40
DDTNet: A dense dual-task network for tumor-infiltrating lymphocyte detection and segmentation in histopathological images of breast cancer	40
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy	40
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion	39
Acquisition-invariant brain MRI segmentation with informative uncertainties	39
Deformation equivariant cross-modality image synthesis with paired non-aligned training data	39
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data	39
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration	39
Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning	39
Cerebrovascular super-resolution 4D Flow MRI – Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity,	39
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease	39
Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification	39
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	39
Tracking and mapping in medical computer vision: A review	39
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI	39
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models	38
CNTSeg: A multimodal deep-learning-based network for cranial nerves tract segmentation	38
Deep learning solution for medical image localization and orientation detection	38
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images	37
PRSCS-Net: Progressive 3D/2D rigid Registration network with the guidance of Single-view Cycle Synthesis	37
Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision	37
Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection	37
LESS: Label-efficient multi-scale learning for cytological whole slide image screening	37
Hyper-fusion network for semi-automatic segmentation of skin lesions	37
Editorial Board	37
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis	37
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]	37
Object recognition in medical images via anatomy-guided deep learning	36
TransMorph: Transformer for unsupervised medical image registration	36
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging	36
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond	36
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans	36
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	36
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	36
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	35
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks	35
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view	35
ImUnity: A generalizable VAE-GAN solution for multicenter MR image harmonization	35
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network	35
AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images	35
C-arm positioning for standard projections during spinal implant placement	35
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification	34
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier	34
Signed graph representation learning for functional-to-structural brain network mapping	34
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications	34
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance	34
Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition	33
A framework for falsifiable explanations of machine learning models with an application in computational pathology	33
Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound	33
Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification	33
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images	33
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method	33
A structural enriched functional network: An application to predict brain cognitive performance	33
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI	33
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images	33
⊥-loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registra	32
Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation	32
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data	32
Deep reinforcement learning in medical imaging: A literature review	32
Knowledge matters: Chest radiology report generation with general and specific knowledge	32
Hierarchical graph representations in digital pathology	32
A comprehensive survey on deep active learning in medical image analysis	31
COVID-AL: The diagnosis of COVID-19 with deep active learning	31
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model	31
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer	31
Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge	31
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan	31
Labeled-to-unlabeled distribution alignment for partially-supervised multi-organ medical image segmentation	30
Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer	30
Skin3D: Detection and longitudinal tracking of pigmented skin lesions in 3D total-body textured meshes	30
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	30
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer	30
Clinical knowledge-guided hybrid classification network for automatic periodontal disease diagnosis in X-ray image	30
Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT	30
Image-based simulation of mitral valve dynamic closure including anisotropy	30
Low-dose computed tomography perceptual image quality assessment	30
IGUANe: A 3D generalizable CycleGAN for multicenter harmonization of brain MR images	30
A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation	30
Learning residual motion correction for fast and robust 3D multiparametric MRI	29
CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images	29
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration	29
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	29
Unsupervised quality control of segmentations based on a smoothness and intensity probabilistic model	29
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	29
Robust Bayesian fusion of continuous segmentation maps	29
Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers	29
A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders	29
AIGAN: Attention–encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images	28
Deep learning for chest X-ray analysis: A survey	28
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning	28
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition	28
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency	28
Learning to segment images with classification labels	28
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning	28
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers	28