Computerized Medical Imaging and Graphics

Papers
(The TQCC of Computerized Medical Imaging and Graphics is 10. 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
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
Retinex model based stain normalization technique for whole slide image analysis40
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
Si-MSPDNet: A multiscale Siamese network with parallel partial decoders for the 3-D measurement of spines in 3D ultrasonic images32
Editorial Board32
CylinGCN: Cylindrical structures segmentation in 3D biomedical optical imaging by a contour-based graph convolutional network32
Ultrasonographic pathological grading of prostate cancer using automatic region-based Gleason grading network30
Automatic detection of myocardial ischaemia using generalisable spatio-temporal hierarchical Bayesian modelling of DCE-MRI30
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
Editorial Board27
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation27
Editorial Board25
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
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
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
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
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients23
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
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images22
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
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
Retrospective study of deep learning to reduce noise in non-contrast head CT images20
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans20
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
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
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning18
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
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
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
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
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
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
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
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT14
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation14
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays14
Editorial Board14
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer14
Editorial Board13
Editorial Board13
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
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
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
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
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
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
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