Computerized Medical Imaging and Graphics

Papers
(The median citation count of Computerized Medical Imaging and Graphics is 4. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Editorial Board128
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review115
Diffusion-based virtual multi-stain staining for pituitary adenoma histopathology105
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations91
GRFormer: 3D reconstruction of liver and tumor via gridding and transformer-based point cloud completion73
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms68
A VVBP data-based pancreatic lesion detection model with noncontrast CT62
A transformer-based hierarchical registration framework for multimodality deformable image registration56
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography50
Pseudo-label-free instance screening of non-tumor regions in whole slide images for improved classification and survival prediction49
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI47
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery43
Unpaired virtual histological staining using prior-guided generative adversarial networks43
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing41
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis41
Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent 40
Entropy-guided partial annotation for cross-domain rib segmentation40
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis39
DB-SNet: A dual branch network for aortic component segmentation and lesion localization38
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework37
SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data37
Segmentation-guided multi-modal brain tumors survival prediction model using pseudo-labeling approach37
Lightweight wavelet convolutional network for guidewire segmentation36
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data35
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning34
Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients33
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage32
Portable head CT motion artifact correction via diffusion-based generative model31
C2BA-UNet: A c31
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI30
A knowledge-guided and uncertainty-calibrated multimodal framework for fracture diagnosis and radiology report generation30
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer29
Efficient frequency-decomposed transformer via large vision model guidance for surgical image desmoking29
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase28
STFNet: A spatial–temporal feature aggregation network for breast lesion segmentation in ultrasound videos28
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT28
LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images28
A CNN-Transformer fusion network for Diabetic retinopathy image classification28
Prior knowledge-based multi-task learning network for pulmonary nodule classification27
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree26
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques25
Hierarchical attention fusion of EUS-doppler features for GISTs risk assessment25
An automatic radiomic-based approach for disease localization: A pilot study on COVID-1925
Automated segmentation of deep brain structures from Inversion-Recovery MRI24
A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images24
Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking23
A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing23
A self-attention model for robust rigid slice-to-volume registration of functional MRI23
Accurate and fast monocular endoscopic depth estimation of structure-content integrated diffusion23
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision23
SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification23
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images21
Semi-supervised hybrid spine network for segmentation of spine MR images21
SLDPC: Slide-Level Dual-Prompt Collaboration for few-shot whole slide image classification21
Multimodal data fusion with irregular PSA kinetics for automated prostate cancer grading21
WISE: Efficient WSI selection for active learning in histopathology21
Integrating AI into clinical practice: Human-centered design requirements for next-generation sequencing workflows21
Adaptive aggregation in federated learning for retinal vein occlusion detection: A dynamic approach based on data distribution21
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image21
A multi-backbone cascade and morphology-aware segmentation network for complex morphological X-ray coronary artery images21
A deep cardiac motion field analysis approach via global 2nd-order kinematic graph modeling21
Enhancing cardiac function assessment: Developing and validating a domain adaptive framework for automating the segmentation of echocardiogram videos21
Sequence based local–global information fusion framework for vertebrae detection under pathological and FOV variation challenges20
Editorial Board20
Self-supervised multi-modal feature fusion for predicting early recurrence of hepatocellular carcinoma20
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle20
CQENet: A segmentation model for nasopharyngeal carcinoma based on confidence quantitative evaluation20
Semi-supervised medical image classification via feature-level multi-scale consistency and adversarial training19
A novel population-characteristic weighted sparse model for accurate respiratory motion prediction in CT-guided lung cancer interventions19
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization19
A novel center-based deep contrastive metric learning method for the detection of polymicrogyria in pediatric brain MRI19
AlzFormer: Multi-modal framework for Alzheimer’s classification using MRI and graph-embedded demographics guided by adaptive attention gating18
Super-resolution of magnetic resonance images using Generative Adversarial Networks18
Enhancing breast cancer screening: Unveiling explainable cross-view contributions in dual-view mammography with Sparse Bipartite Graphs Attention Networks18
Multi-representational deep transfer learning for classifying hemorrhagic metastases and non-neoplastic intracranial hematomas in multi-modal brain MRI scans18
Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance18
Quasi-supervised learning for super-resolution PET18
CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans18
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training17
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model17
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy17
ConvTNet fusion: A robust transformer-CNN framework for multi-class classification, multimodal feature fusion, and tissue heterogeneity handling17
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment17
A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules16
Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy16
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images16
Convolutional–transformer fusion of ultrasound and diffuse optical tomography for breast lesion classification16
Dynamic recurrent inference machines for accelerated MRI-guided radiotherapy of the liver16
Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes16
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior16
AugmentA: Patient-specific augmented atrial model generation tool16
A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets16
CPTV: Classification by tracking of carotid plaque in ultrasound videos16
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN16
Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling15
MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models15
Bi-VesTreeFormer: A bidirectional topology-aware transformer framework for coronary vFFR estimation15
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging15
Distance guided generative adversarial network for explainable medical image classifications15
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions15
CS2former: Multimodal feature fusion transformer with dual channel-spatial feature extraction module for bipolar disorder diagnosis15
Privacy-preserving multimodal fusion for Alzheimer’s staging: A federated vision transformer framework with explainable AI15
A hybrid deep learning framework for epileptic seizure prediction using scalp and intracranial EEG data15
Contrastive learning in brain imaging14
MRI-based vector radiomics for predicting breast cancer HER2 status and its changes after neoadjuvant therapy14
Mamba-based deformable medical image registration with an annotated brain MR-CT dataset14
Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans14
A novel intelligent grade classification architecture for Patent Foramen Ovale by Contrast Transthoracic Echocardiography based on deep learning14
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features14
Fluid-SegNet: Multi-dimensional loss-driven Y-Net with dilated convolutions for OCT B-scan fluid segmentation14
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images14
Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis13
Cervical OCT image classification using contrastive masked autoencoders with Swin Transformer13
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent13
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images13
Spectral attribute reasoning for interpretable multi-modal pathological segmentation13
Deep spatiotemporal clutter filtering of transthoracic echocardiographic images: Leveraging contextual attention and residual learning13
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation13
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder13
Initial evaluation of a mixed-reality system for image-guided navigation during percutaneous liver tumor ablation13
Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy13
Learning geometric and visual features for medical image segmentation with vision GNN13
Self-supervised suppression of MRI cardiac device artifacts based on multi-instance contrastive learning and anisotropic spatiotemporal transformer13
Fast X-ray/CT image registration based on perspective projection triangular features13
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans12
C3MT: Confidence-Calibrated Contrastive Mean Teacher for semi-supervised medical image segmentation12
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients12
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning12
Progress and trends in neurological disorders research based on deep learning12
iPCa-Net: A CNN-based framework for predicting incidental prostate cancer using multiparametric MRI12
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion12
ME-Mamba: Multi-Expert Mamba with efficient knowledge capture and fusion for multimodal survival analysis12
RibFractureSys: A gem in the face of acute rib fracture diagnoses12
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data12
AtlasSeg: Atlas prior guided dual-U-Net for tissue segmentation in fetal brain MRI12
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images12
Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis12
SAN-Wavelet cycleGAN for anatomical structure reinforcement and tissue detail preservation in abdominal CT synthesis11
FAUDA-Net: Frequency-aware unsupervised domain adaptation network for multimodal medical image segmentation11
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions11
HF-VLP: A multimodal vision-language pre-trained model for diagnosing heart failure11
Liver lesion segmentation in ultrasound: A benchmark and a baseline network11
C5-net: Cross-organ cross-modality cswin-transformer coupled convolutional network for dual task transfer learning in lymph node segmentation and classification11
CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke11
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation11
HACA3: A unified approach for multi-site MR image harmonization11
DeepHybrid-CNN: A hybrid approach for pre-processing of skin cancer images11
Towards Generic Abdominal Multi-Organ Segmentation with multiple partially labeled datasets11
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies11
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module11
A review on brain tumor segmentation based on deep learning methods with federated learning techniques11
FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis10
Towards better interpretable and generalizable AD detection using collective artificial intelligence10
Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN10
TCDE-Net: An unsupervised dual-encoder network for 3D brain medical image registration10
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization10
RPDNet: A reconstruction-regularized parallel decoders network for rectal tumor and rectum co-segmentation10
MedBLIP: A multimodal method of medical question-answering based on fine-tuning large language model10
Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation10
One-shot learning for generalization in medical image classification across modalities10
Editorial Board10
LoRA-Enhanced RT-DETR: First Low-Rank Adaptation based DETR for real-time full body anatomical structures identification in musculoskeletal ultrasound10
Dynamic MRI interpolation in temporal direction using an unsupervised generative model10
MD-SGT: Multi-dilation spherical graph transformer for unsupervised medical image registration10
Deep local-to-global feature learning for medical image super-resolution10
Defect-adaptive landmark detection in pelvis CT images via personalized structure-aware learning10
Secure and privacy-preserving surgical instrument segmentation in minimally invasive surgeries using federated differential privacy approach10
SGAFNet: Robust brain tumor segmentation via learnable sequence-guided adaptive fusion in available MRI acquisitions10
A technology framework for distributed preoperative planning and medical training in deep brain stimulation10
Deformable registration of preoperative MR and intraoperative long-length tomosynthesis images for guidance of spine surgery via image synthesis10
Machine learning-based diagnostics of capsular invasion in thyroid nodules with wide-field second harmonic generation microscopy9
Standardized measurement of mid-surface shift of brain based on deep Hough transform9
Robust Bayesian brain extraction by integrating structural subspace-based spatial prior into deep neural networks9
Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels9
Medical report generation based on multimodal federated learning9
Computer-assisted diagnosis for axillary lymph node metastasis of early breast cancer based on transformer with dual-modal adaptive mid-term fusion using ultrasound elastography9
Enhancing trabecular CT scans based on deep learning with multi-strategy fusion9
SPARSE data, rich results: Few-shot semi-supervised learning via class-conditioned image translation9
A lightweight multi-modality medical image semantic segmentation network base on the novel UNeXt and Wave-MLP9
DCSM-Unet: Dual-path heterogeneous encoder with content-aware guidance and differential feature learning9
Sub-features orthogonal decoupling: Detecting bone wall absence via a small number of abnormal examples for temporal CT images9
Anatomical attention-based prediction of postoperative pulmonary venous obstruction via CTA images9
Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization9
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images9
Main challenges on the curation of large scale datasets for pancreas segmentation using deep learning in multi-phase CT scans: Focus on cardinality, manual refinement, and annotation quality9
Enhancing Vision-Language Model with Pretraining for Reasoning Medical Applications9
Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort9
Domain adaptive detection framework for multi-center bone tumor detection on radiographs9
Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR9
Multimodal data integration for early autism detection and LLM-driven personalized intervention: A review9
A deep learning-based automated pipeline for colorectal cancer detection in contrast-enhanced CT images9
A semi-supervised multiview-MRI network for the detection of Knee Osteoarthritis9
End to end vision transformer architecture for brain stroke assessment based on multi-slice classification and localization using computed tomography9
Automated microvascular invasion prediction of hepatocellular carcinoma via deep relation reasoning from dynamic contrast-enhanced ultrasound9
Surgical augmented reality registration methods: A review from traditional to deep learning approaches8
Weakly supervised multi-modal contrastive learning framework for predicting the HER2 scores in breast cancer8
QUIZ: An arbitrary volumetric point matching method for medical image registration8
An interpretable machine learning framework with data-informed imaging biomarkers for diagnosis and prediction of Alzheimer’s disease8
A deep learning-based clinical decision support system for glioma grading using ensemble learning and knowledge distillation8
Optic disc localization in fundus images through accumulated directional and radial blur analysis8
A novel approach for estimating lung tumor motion based on dynamic features in 4D-CT8
MFFUNet: A hybrid model with cross-attention-guided multi-feature fusion for automated segmentation of organs at risk in cervical cancer brachytherapy8
A multimodal data acquisition and registration system for monitoring skin wounds: Wound modeling and accuracy estimation using phantoms8
Med-SCoT: Structured chain-of-thought reasoning and evaluation for enhancing interpretability in medical visual question answering8
Time multiscale regularization for nonlinear image registration8
UltraBoneUDF: Self-supervised bone surface reconstruction from ultrasound based on neural unsigned distance functions8
Calcium deblooming in coronary computed tomography angiography via semantic-oriented generative adversarial network8
SGRRG: Leveraging radiology scene graphs for improved and abnormality-aware radiology report generation8
Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data8
NaMA-Mamba: Foundation model for generalizable nasal disease detection using masked autoencoder with Mamba on endoscopic images7
Multimodal framework for TACE treatment response prediction in patients with hepatocellular carcinoma7
Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation7
CrossU-Net: Dual-modality cross-attention U-Net for segmentation of precancerous lesions in gastric cancer7
Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke7
P27
A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-17
A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)7
Prediction of hematoma changes in spontaneous intracerebral hemorrhage using a Transformer-based generative adversarial network to generate follow-up CT images7
SSIFNet: Spatial–temporal stereo information fusion network for self-supervised surgical video inpainting7
Synthetically trained convolutional neural networks for improved tensor estimation from free-breathing cardiac DTI7
CR-GLoCo: Cross-Resolution Learning via Global-Local Context Consistency for semi-supervised 3D medical segmentation7
Dual-task kidney MR segmentation with transformers in autosomal-dominant polycystic kidney disease7
A contrastive consistency semi-supervised left atrium segmentation model7
Cross-modality cerebrovascular segmentation based on pseudo-label generation via paired data7
CGNet: Few-shot learning for Intracranial Hemorrhage Segmentation7
Automatic prediction of acute coronary syndrome based on pericoronary adipose tissue and atherosclerotic plaques7
Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling6
Evidence modeling for reliability learning and interpretable decision-making under multi-modality medical image segmentation6
Robust brain MRI image classification with SIBOW-SVM6
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification6
Semantically preserving adversarial unsupervised domain adaptation network for improving disease recognition from chest x-rays6
One model, two brains: Automatic fetal brain extraction from MR images of twins6
Agent-MIRA: AI-orchestrated medical imaging agent for PET image retrieval and assistance6
A review of AutoML optimization techniques for medical image applications6
CMT-FFNet: A CMT-based feature-fusion network for predicting TACE treatment response in hepatocellular carcinoma6
CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention6
Predicting 4D liver MRI for MR-guided interventions6
Two-stage color fundus image registration via Keypoint Refinement and Confidence-Guided Estimation6
Differentiable Neural Architecture Search for medical image segmentation: A systematic review and field audit6
AFSegNet: few-shot 3D ankle-foot bone segmentation via hierarchical feature distillation and multi-scale attention and fusion6
Adaptive prompting for dual-task learning: Towards high-quality MRI reconstruction from unidentified degradation6
SMILE: Siamese Multi-scale Interactive-representation LEarning for Hierarchical Diffeomorphic Deformable image registration6
Deep Guess acceleration for explainable image reconstruction in sparse-view CT6
A novel generative model for brain tumor detection using magnetic resonance imaging6
Unsupervised registration for liver CT-MR images based on the multiscale integrated spatial-weight module and dual similarity guidance6
Causal recurrent intervention for cross-modal cardiac image segmentation6
BP-Net: Boundary and perfusion feature guided dual-modality ultrasound video analysis network for fibrous cap integrity assessment6
HALSR-Net: Improving CNN Segmentation of Cardiac Left Ventricle MRI with Hybrid Attention and Latent Space Reconstruction6
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer’s disease6
SSTU: Swin-Spectral Transformer U-Net for hyperspectral whole slide image reconstruction6
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