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 2021-04-01 to 2025-04-01.)
ArticleCitations
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing348
Entity-level multiple instance learning for mesoscopic histopathology images classification with Bayesian collaborative learning and pathological prior transfer172
Convergent–Diffusion Denoising Model for multi-scenario CT Image Reconstruction110
Self-supervised learning on dual-sequence magnetic resonance imaging for automatic segmentation of nasopharyngeal carcinoma88
AFSegNet: few-shot 3D ankle-foot bone segmentation via hierarchical feature distillation and multi-scale attention and fusion77
An anthropomorphic diagnosis system of pulmonary nodules using weak annotation-based deep learning73
Dual attention model with reinforcement learning for classification of histology whole-slide images70
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification62
Self-supervised-RCNN for medical image segmentation with limited data annotation60
Dual-domain accelerated MRI reconstruction using transformers with learning-based undersampling59
A deep registration method for accurate quantification of joint space narrowing progression in rheumatoid arthritis54
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning50
Detecting thyroid nodules along with surrounding tissues and tracking nodules using motion prior in ultrasound videos48
Template-based graph registration network for boosting the diagnosis of brain connectivity disorders46
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network42
Retinex model based stain normalization technique for whole slide image analysis40
Automatic artery/vein classification methods for retinal blood vessel: A review40
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery40
Deep learning-based glomerulus detection and classification with generative morphology augmentation in renal pathology images39
Unsupervised registration for liver CT-MR images based on the multiscale integrated spatial-weight module and dual similarity guidance39
A comprehensive approach for evaluating lymphovascular invasion in invasive breast cancer: Leveraging multimodal MRI findings, radiomics, and deep learning analysis of intra- and peritumoral regions35
A transformer-based hierarchical registration framework for multimodality deformable image registration34
Editorial Board32
CylinGCN: Cylindrical structures segmentation in 3D biomedical optical imaging by a contour-based graph convolutional network32
Editorial Board32
Si-MSPDNet: A multiscale Siamese network with parallel partial decoders for the 3-D measurement of spines in 3D ultrasonic images32
Automatic detection of myocardial ischaemia using generalisable spatio-temporal hierarchical Bayesian modelling of DCE-MRI30
Ultrasonographic pathological grading of prostate cancer using automatic region-based Gleason grading network30
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images29
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction29
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation27
Editorial Board27
Rapid analysis of streaming platelet images by semi-unsupervised learning25
Editorial Board25
Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction25
Editorial Board25
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification24
Guidelines for cerebrovascular segmentation: Managing imperfect annotations in the context of semi-supervised learning24
Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images24
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis24
Tumor classification in automated breast ultrasound (ABUS) based on a modified extracting feature network24
RibFractureSys: A gem in the face of acute rib fracture diagnoses24
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients23
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 23
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images22
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis22
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography22
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation22
BP-Net: Boundary and perfusion feature guided dual-modality ultrasound video analysis network for fibrous cap integrity assessment21
One model, two brains: Automatic fetal brain extraction from MR images of twins21
Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning21
Unpaired virtual histological staining using prior-guided generative adversarial networks21
3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images21
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms21
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans20
Retrospective study of deep learning to reduce noise in non-contrast head CT images20
Classification of squamous cell carcinoma from FF-OCT images: Data selection and progressive model construction19
Pattern classification for breast lesion on FFDM by integration of radiomics and deep features19
Use of semi-synthetic data for catheter segmentation improvement19
GNN-based structural information to improve DNN-based basal ganglia segmentation in children following early brain lesion19
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization18
Deformable adversarial registration network with multiple loss constraints18
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations18
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning18
Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model17
Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis17
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review17
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images17
Using temporal and structural data to reconstruct 3D cerebral vasculature from a pair of 2D digital subtraction angiography sequences17
Image reconstruction using UNET-transformer network for fast and low-dose PET scans17
A survey on graph-based deep learning for computational histopathology17
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies17
CAVE: Cerebral artery–vein segmentation in digital subtraction angiography16
Energy-guided diffusion model for CBCT-to-CT synthesis16
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module16
Fragment distance-guided dual-stream learning for automatic pelvic fracture segmentation16
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images16
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease16
Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images16
A2OURSR: Adaptive adjustment based real MRI super-resolution via opinion-unaware measurements16
Shortcomings and areas for improvement in digital pathology image segmentation challenges16
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer’s disease15
Semantically preserving adversarial unsupervised domain adaptation network for improving disease recognition from chest x-rays15
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation15
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images15
3DFRINet: A Framework for the Detection and Diagnosis of Fracture Related Infection in Low Extremities Based on 18F-FDG PET/CT 3D Images15
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation14
Editorial Board14
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays14
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT14
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer14
Does perfect filtering really guarantee perfect phase correction for diffusion MRI data?13
Prior knowledge-based multi-task learning network for pulmonary nodule classification13
Editorial Board13
Accurate volume alignment of arbitrarily oriented tibiae based on a mutual attention network for osteoarthritis analysis13
Editorial Board13
Integrating features from lymph node stations for metastatic lymph node detection13
Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI13
A modified U-net with graph representation for dose prediction in esophageal cancer radiotherapy plans13
Editorial Board13
Editorial Board13
ProtoSAM-3D: Interactive semantic segmentation in volumetric medical imaging via a Segment Anything Model and mask-level prototypes12
Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging12
Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions12
DLPVI: Deep learning framework integrating projection, view-by-view backprojection, and image domains for high- and ultra-sparse-view CBCT reconstruction12
SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer12
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data12
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer12
Long term and robust 6DoF motion tracking for highly dynamic stereo endoscopy videos12
Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection11
Post-hoc out-of-distribution detection for cardiac MRI segmentation11
HACA3: A unified approach for multi-site MR image harmonization11
Reciprocal assistance of intravascular imaging in three-dimensional stent reconstruction: Using cross-modal translation based on disentanglement representation11
A multi-view contrastive learning and semi-supervised self-distillation framework for early recurrence prediction in ovarian cancer11
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness11
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization11
MEF-UNet: An end-to-end ultrasound image segmentation algorithm based on multi-scale feature extraction and fusion11
W-DRAG: A joint framework of WGAN with data random augmentation optimized for generative networks for bone marrow edema detection in dual energy CT11
Corrigendum to “Machine learning techniques for mitoses classification” [Comput. Med. Imaging Graphics 87 January (2021) 101832]11
CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis11
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography11
Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls10
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI10
Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN10
Multi-task global optimization-based method for vascular landmark detection10
Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data10
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage10
A novel dual-network architecture for mixed-supervised medical image segmentation10
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning10
Cell comparative learning: A cervical cytopathology whole slide image classification method using normal and abnormal cells10
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data10
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions10
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction10
Volumetric quantification of choroid and Haller's sublayer using OCT scans: An accurate and unified approach based on stratified smoothing10
CycleSGAN: A cycle-consistent and semantics-preserving generative adversarial network for unpaired MR-to-CT image synthesis10
A diagnostic information based framework for super-resolution and quality assessment of retinal OCT images9
Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography9
Explainable survival analysis with uncertainty using convolution-involved vision transformer9
Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures9
DAN-PD: Domain adaptive network with parallel decoder for polyp segmentation9
Towards better interpretable and generalizable AD detection using collective artificial intelligence9
Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle9
Correspondence-based Generative Bayesian Deep Learning for semi-supervised volumetric medical image segmentation9
Improving abdominal image segmentation with overcomplete shape priors9
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks9
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase9
ScribSD+: Scribble-supervised medical image segmentation based on simultaneous multi-scale knowledge distillation and class-wise contrastive regularization9
GSM-Net: A global sequence modelling network for the segmentation of short axis CINE MRI images9
Ultrasound volume projection image quality selection by ranking from convolutional RankNet9
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images9
A review on brain tumor segmentation based on deep learning methods with federated learning techniques9
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography9
Portable head CT motion artifact correction via diffusion-based generative model8
Retraction notice to “An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson’s disease using SPECT images” [Comput. Med. Imaging Graphics 87 (2021) 101810]8
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic8
A transformer-based pyramid network for coronary calcified plaque segmentation in intravascular optical coherence tomography images8
SWISTA-Nets: Subband-adaptive wavelet iterative shrinkage thresholding networks for image reconstruction8
LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images8
Computed tomography image reconstruction using stacked U-Net8
C2BA-UNet: A c8
Registration on DCE-MRI images via multi-domain image-to-image translation8
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks8
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework8
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis8
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation8
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy7
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks7
AGMR-Net: Attention-guided multiscale recovery framework for stroke segmentation7
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image7
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning7
Corrigendum to ‘Development and evaluation of an integrated model based on a deep segmentation network and demography-added radiomics algorithm for segmentation and diagnosis of early lung adenocarcin7
An automatic radiomic-based approach for disease localization: A pilot study on COVID-197
Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks7
A comparative analysis framework of 3T and 7T TOF-MRA based on automated cerebrovascular segmentation7
A consistent deep registration network with group data modeling7
PMNet: A probability map based scaled network for breast cancer diagnosis7
Attri-VAE: Attribute-based interpretable representations of medical images with variational autoencoders7
A deep learning based multiscale approach to segment the areas of interest in whole slide images7
Deformable registration of preoperative MR and intraoperative long-length tomosynthesis images for guidance of spine surgery via image synthesis7
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time7
Automated proliferation index calculation for skin melanoma biopsy images using machine learning7
Wasserstein-based texture analysis in radiomic studies6
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree6
Deformable medical image registration with global–local transformation network and region similarity constraint6
Efficient multi-stage feedback attention for diverse lesion in cancer image segmentation6
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography6
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images6
Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion6
Editorial Board6
Interpretable HER2 scoring by evaluating clinical guidelines through a weakly supervised, constrained deep learning approach6
Dynamic MRI interpolation in temporal direction using an unsupervised generative model6
MD-SGT: Multi-dilation spherical graph transformer for unsupervised medical image registration6
Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking6
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision6
Automated segmentation of deep brain structures from Inversion-Recovery MRI6
PADS-Net: GAN-based radiomics using multi-task network of denoising and segmentation for ultrasonic diagnosis of Parkinson disease6
A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning6
Shape constraint function for artery tracking in ultrasound images6
Grey wolf assisted dragonfly-based weighted rule generation for predicting heart disease and breast cancer6
A lightweight multi-modality medical image semantic segmentation network base on the novel UNeXt and Wave-MLP6
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques6
Symmetric pyramid network for medical image inverse consistent diffeomorphic registration6
Resolving the non-uniformity in the feature space of age estimation: A deep learning model based on feature clusters of panoramic images6
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning6
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning6
Self-supervised multi-modal feature fusion for predicting early recurrence of hepatocellular carcinoma5
Exploring transformer reliability in clinically significant prostate cancer segmentation: A comprehensive in-depth investigation5
Deep local-to-global feature learning for medical image super-resolution5
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels5
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential5
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by a Radon projection composition network5
Inspect quantitative signals in placental histopathology: Computer-assisted multiple functional tissues identification through multi-model fusion and distillation framework5
Exploratory analysis of Type B Aortic Dissection (TBAD) segmentation in 2D CTA images using various kernels5
SGLSA: Sphygmus gated laser speckle angiography for microcirculation hemodynamics imaging5
Semi-supervised hybrid spine network for segmentation of spine MR images5
StrokeNet: An automated approach for segmentation and rupture risk prediction of intracranial aneurysm5
A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images5
WISE: Efficient WSI selection for active learning in histopathology5
TT-Net: Tensorized Transformer Network for 3D medical image segmentation5
RPDNet: A reconstruction-regularized parallel decoders network for rectal tumor and rectum co-segmentation5
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge5
Deep learning for report generation on chest X-ray images5
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT5
sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation5
Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images5
Single color digital H&E staining with In-and-Out Net5
PET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response prediction4
TSNet: Vessel segmentation with sequential frame temporal information in coronary angiography4
NACNet: A histology context-aware transformer graph convolution network for predicting treatment response to neoadjuvant chemotherapy in Triple Negative Breast Cancer4
FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis4
Investigation and benchmarking of U-Nets on prostate segmentation tasks4
One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed4
Machine learning-based diagnostics of capsular invasion in thyroid nodules with wide-field second harmonic generation microscopy4
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging4
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review4
Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images4
RISING: A new framework for model-based few-view CT image reconstruction with deep learning4
Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization4
Hybrid dual mean-teacher network with double-uncertainty guidance for semi-supervised segmentation of magnetic resonance images4
LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images4
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment4
Feature-targeted deep learning framework for pulmonary tumorous Cone-beam CT (CBCT) enhancement with multi-task customized perceptual loss and feature-guided CycleGAN4
Uncertainty-Aware Deep Learning for Segmentation of Primary Tumor and Pathologic Lymph Nodes in Oropharyngeal Cancer: Insights from a Multi-Center Cohort4
ULST: U-shaped LeWin spectral transformer for virtual staining of pathological sections4
Efficient diagnosis of retinal disorders using dual-branch semi-supervised learning (DB-SSL): An enhanced multi-class classification approach4
End to end vision transformer architecture for brain stroke assessment based on multi-slice classification and localization using computed tomography4
Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images4
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer4
Whole brain segmentation with full volume neural network4
0.080935001373291