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 2021-06-01 to 2025-06-01.)
ArticleCitations
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography371
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 184
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing94
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI81
Editorial Board80
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery73
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis69
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis60
A transformer-based hierarchical registration framework for multimodality deformable image registration57
Unpaired virtual histological staining using prior-guided generative adversarial networks53
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations50
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms50
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review48
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning46
C2BA-UNet: A c45
Editorial Board41
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer36
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data36
Prior knowledge-based multi-task learning network for pulmonary nodule classification35
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT34
Corrigendum to “Machine learning techniques for mitoses classification” [Comput. Med. Imaging Graphics 87 January (2021) 101832]34
Computed tomography image reconstruction using stacked U-Net33
Portable head CT motion artifact correction via diffusion-based generative model33
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks32
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI32
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation29
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage28
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase27
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework27
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography27
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision26
Self-supervised multi-modal feature fusion for predicting early recurrence of hepatocellular carcinoma26
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree26
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image26
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques26
An automatic radiomic-based approach for disease localization: A pilot study on COVID-1926
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images26
WISE: Efficient WSI selection for active learning in histopathology25
Automated segmentation of deep brain structures from Inversion-Recovery MRI25
A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images25
Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking25
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging24
Measuring variability of local brain volume using improved volume preserved warping24
Semi-supervised hybrid spine network for segmentation of spine MR images24
Editorial Board24
Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks24
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment23
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy23
Sequence based local–global information fusion framework for vertebrae detection under pathological and FOV variation challenges23
A novel center-based deep contrastive metric learning method for the detection of polymicrogyria in pediatric brain MRI23
Quasi-supervised learning for super-resolution PET23
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training22
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model22
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images21
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior21
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle21
AugmentA: Patient-specific augmented atrial model generation tool21
Super-resolution of magnetic resonance images using Generative Adversarial Networks21
3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation21
Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance21
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization21
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN20
What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review20
Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow20
Contrastive learning in brain imaging19
Distance guided generative adversarial network for explainable medical image classifications19
Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes19
A community-based approach to image analysis of cells, tissues and tumors19
MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models18
Dynamic recurrent inference machines for accelerated MRI-guided radiotherapy of the liver18
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging18
Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI18
CPTV: Classification by tracking of carotid plaque in ultrasound videos17
Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling17
Towards human-level performance on automatic pose estimation of infant spontaneous movements17
An unsupervised method for histological image segmentation based on tissue cluster level graph cut16
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation16
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning16
Fast X-ray/CT image registration based on perspective projection triangular features16
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images16
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features16
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions16
Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans16
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data15
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion15
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans15
Cervical OCT image classification using contrastive masked autoencoders with Swin Transformer15
MRI-based vector radiomics for predicting breast cancer HER2 status and its changes after neoadjuvant therapy15
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet15
Progress and trends in neurological disorders research based on deep learning15
Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR15
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent15
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images15
Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy14
iPCa-Net: A CNN-based framework for predicting incidental prostate cancer using multiparametric MRI14
Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis14
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder14
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation13
Retrospective study of deep learning to reduce noise in non-contrast head CT images13
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies13
RibFractureSys: A gem in the face of acute rib fracture diagnoses13
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients13
Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis13
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation13
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images13
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning13
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module13
HACA3: A unified approach for multi-site MR image harmonization12
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization12
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network12
Towards better interpretable and generalizable AD detection using collective artificial intelligence12
Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction12
A review on brain tumor segmentation based on deep learning methods with federated learning techniques12
One-shot learning for generalization in medical image classification across modalities12
Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN12
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation12
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography12
Editorial Board12
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions12
MD-SGT: Multi-dilation spherical graph transformer for unsupervised medical image registration11
A lightweight multi-modality medical image semantic segmentation network base on the novel UNeXt and Wave-MLP11
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review11
Deep local-to-global feature learning for medical image super-resolution11
Dynamic MRI interpolation in temporal direction using an unsupervised generative model11
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge11
End to end vision transformer architecture for brain stroke assessment based on multi-slice classification and localization using computed tomography11
MedBLIP: A Multimodal Method of Medical Question-Answering Based on Fine-Tuning Large Language Model11
FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis11
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning11
RPDNet: A reconstruction-regularized parallel decoders network for rectal tumor and rectum co-segmentation11
Medical report generation based on multimodal federated learning11
Deformable registration of preoperative MR and intraoperative long-length tomosynthesis images for guidance of spine surgery via image synthesis11
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 quality10
Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR10
A benchmark bone marrow aspirate smear dataset and a multi-scale cell detection model for the diagnosis of hematological disorders10
Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels10
Whole brain segmentation with full volume neural network10
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images10
Computer-assisted diagnosis for axillary lymph node metastasis of early breast cancer based on transformer with dual-modal adaptive mid-term fusion using ultrasound elastography10
Machine learning-based diagnostics of capsular invasion in thyroid nodules with wide-field second harmonic generation microscopy10
Enhancing trabecular CT scans based on deep learning with multi-strategy fusion10
A semi-supervised multiview-MRI network for the detection of Knee Osteoarthritis10
Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization10
Editorial Board9
Optic disc localization in fundus images through accumulated directional and radial blur analysis9
Standardized measurement of mid-surface shift of brain based on deep Hough transform9
Cross-modality cerebrovascular segmentation based on pseudo-label generation via paired data9
QUIZ: An arbitrary volumetric point matching method for medical image registration9
Calcium deblooming in coronary computed tomography angiography via semantic-oriented generative adversarial network9
Sub-features orthogonal decoupling: Detecting bone wall absence via a small number of abnormal examples for temporal CT images9
Weakly supervised multi-modal contrastive learning framework for predicting the HER2 scores in breast cancer9
Geometric deep learning on brain shape predicts sex and age9
Time multiscale regularization for nonlinear image registration9
Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions9
Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data9
CGNet: Few-shot learning for Intracranial Hemorrhage Segmentation9
Anatomical attention-based prediction of postoperative pulmonary venous obstruction via CTA images9
A novel approach for estimating lung tumor motion based on dynamic features in 4D-CT8
A novel generative model for brain tumor detection using magnetic resonance imaging8
A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)8
Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke8
CrossU-Net: Dual-modality cross-attention U-Net for segmentation of precancerous lesions in gastric cancer8
Versatile multi-constrained planning for thermal ablation of large liver tumors8
NaMA-Mamba: Foundation model for generalizable nasal disease detection using masked autoencoder with Mamba on endoscopic images8
CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention8
Gland context networks: A novel approach for improving prostate cancer identification8
A review of AutoML optimization techniques for medical image applications8
Predicting 4D liver MRI for MR-guided interventions8
Synthetically trained convolutional neural networks for improved tensor estimation from free-breathing cardiac DTI8
Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling8
Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation7
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification7
Semantically preserving adversarial unsupervised domain adaptation network for improving disease recognition from chest x-rays7
3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images7
SMILE: Siamese Multi-scale Interactive-representation LEarning for Hierarchical Diffeomorphic Deformable image registration7
P27
Evidence modeling for reliability learning and interpretable decision-making under multi-modality medical image segmentation7
AFSegNet: few-shot 3D ankle-foot bone segmentation via hierarchical feature distillation and multi-scale attention and fusion7
Si-MSPDNet: A multiscale Siamese network with parallel partial decoders for the 3-D measurement of spines in 3D ultrasonic images7
A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-17
Unsupervised registration for liver CT-MR images based on the multiscale integrated spatial-weight module and dual similarity guidance7
Dual-task kidney MR segmentation with transformers in autosomal-dominant polycystic kidney disease7
Robust brain MRI image classification with SIBOW-SVM7
SSTU: Swin-Spectral Transformer U-Net for hyperspectral whole slide image reconstruction7
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction7
GNN-based structural information to improve DNN-based basal ganglia segmentation in children following early brain lesion7
Energy-guided diffusion model for CBCT-to-CT synthesis7
A contrastive consistency semi-supervised left atrium segmentation model7
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging7
Automatic prediction of acute coronary syndrome based on pericoronary adipose tissue and atherosclerotic plaques7
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer’s disease6
One model, two brains: Automatic fetal brain extraction from MR images of twins6
Editorial Board6
Cell comparative learning: A cervical cytopathology whole slide image classification method using normal and abnormal cells6
Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures6
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 adenocarcin6
Fragment distance-guided dual-stream learning for automatic pelvic fracture segmentation6
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images6
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images6
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis6
Explainable survival analysis with uncertainty using convolution-involved vision transformer6
CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis6
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction6
BP-Net: Boundary and perfusion feature guided dual-modality ultrasound video analysis network for fibrous cap integrity assessment6
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images6
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation6
W-DRAG: A joint framework of WGAN with data random augmentation optimized for generative networks for bone marrow edema detection in dual energy CT6
ScribSD+: Scribble-supervised medical image segmentation based on simultaneous multi-scale knowledge distillation and class-wise contrastive regularization6
Encoding 3D information in 2D feature maps for brain CT-Angiography6
Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images5
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential5
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks5
A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning5
Single color digital H&E staining with In-and-Out Net5
Detection of abdominopelvic lymph nodes in multi-parametric MRI5
Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets5
TT-Net: Tensorized Transformer Network for 3D medical image segmentation5
Exploring transformer reliability in clinically significant prostate cancer segmentation: A comprehensive in-depth investigation5
SGLSA: Sphygmus gated laser speckle angiography for microcirculation hemodynamics imaging5
A Parkinson’s disease-related nuclei segmentation network based on CNN-Transformer interleaved encoder with feature fusion5
PET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response prediction5
Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week5
Inspect quantitative signals in placental histopathology: Computer-assisted multiple functional tissues identification through multi-model fusion and distillation framework5
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning5
RISING: A new framework for model-based few-view CT image reconstruction with deep learning5
Investigation and benchmarking of U-Nets on prostate segmentation tasks5
Removal notice to “VitSeg: Weakly supervised vitiligo segmentation in skin image” [Comput. Med. Imag. Graph. 85 (2020) 101779]4
Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging4
Automatic detection of myocardial ischaemia using generalisable spatio-temporal hierarchical Bayesian modelling of DCE-MRI4
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease4
Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images4
MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification4
OSAM-NET: A multi-feature fusion model for measuring fetal head flexion during labor with transformer multi-head self-attention4
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis4
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy4
Editorial Board4
Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images4
Dual-domain accelerated MRI reconstruction using transformers with learning-based undersampling4
Deformable adversarial registration network with multiple loss constraints4
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks4
TLF: Triple learning framework for intracranial aneurysms segmentation from unreliable labeled CTA scans4
Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation4
Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification4
Editorial Board4
3DFRINet: A Framework for the Detection and Diagnosis of Fracture Related Infection in Low Extremities Based on 18F-FDG PET/CT 3D Images4
Self-supervised learning on dual-sequence magnetic resonance imaging for automatic segmentation of nasopharyngeal carcinoma4
DXM‐TransFuse U-net: Dual cross-modal transformer fusion U-net for automated nerve identification4
PSSGAN: Towards spectrum shift based perceptual quality enhancement for fluorescence imaging4
Automatic Joint Lesion Detection by enhancing local feature interaction4
NG-NAS: Node growth neural architecture search for 3D medical image segmentation4
0.06629204750061