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 2020-04-01 to 2024-04-01.)
ArticleCitations
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation189
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review99
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals88
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images88
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images79
Does image normalization and intensity resolution impact texture classification?70
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation69
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy53
Fast and efficient retinal blood vessel segmentation method based on deep learning network52
A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging51
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution51
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN51
On the performance of lung nodule detection, segmentation and classification50
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays48
Automatic skin lesion classification based on mid-level feature learning48
A novel CNN based Alzheimer’s disease classification using hybrid enhanced ICA segmented gray matter of MRI45
Deep transfer learning approaches for bleeding detection in endoscopy images44
A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images43
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine42
A survey on graph-based deep learning for computational histopathology42
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning41
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders40
Automatic cardiac cine MRI segmentation and heart disease classification40
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic39
LGAN: Lung segmentation in CT scans using generative adversarial network39
Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach38
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma38
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs35
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network34
Memory-efficient GAN-based domain translation of high resolution 3D medical images34
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN33
Deep learning method for localization and segmentation of abdominal CT32
Learning-based algorithms for vessel tracking: A review31
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images31
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT31
MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation31
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer30
A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography29
Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review29
Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images26
Cardiac VFM visualization and analysis based on YOLO deep learning model and modified 2D continuity equation25
Early detection of ankylosing spondylitis using texture features and statistical machine learning, and deep learning, with some patient age analysis25
Retracted: An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images23
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images23
Analyzing magnetic resonance imaging data from glioma patients using deep learning23
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks23
An end-to-end breast tumour classification model using context-based patch modelling – A BiLSTM approach for image classification23
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues23
Retinex model based stain normalization technique for whole slide image analysis23
Modeling task-based fMRI data via deep belief network with neural architecture search23
Non-convex primal-dual algorithm for image reconstruction in spectral CT23
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning22
Deep adaptive registration of multi-modal prostate images22
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging22
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation22
Intensity inhomogeneity correction of MRI images using InhomoNet22
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device22
Machine learning techniques for mitoses classification21
Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls21
A contrastive consistency semi-supervised left atrium segmentation model20
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning20
DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images20
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease20
Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network20
The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs20
Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model19
Vessel segmentation using multiscale vessel enhancement and a region based level set model19
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions19
Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography19
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge19
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images19
Deep learning powers cancer diagnosis in digital pathology18
Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction18
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging18
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction18
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network17
PIÑATA: Pinpoint insertion of intravenous needles via augmented reality training assistance16
Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction16
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues16
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet16
Segmentation of coronary arteries images using global feature embedded network with active contour loss16
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis16
WCE polyp detection with triplet based embeddings16
LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images16
Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit15
Tumor classification in automated breast ultrasound (ABUS) based on a modified extracting feature network15
Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in different MRI protocols15
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans15
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning15
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study14
Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy14
An unsupervised method for histological image segmentation based on tissue cluster level graph cut14
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness14
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation14
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images14
AI-PLAX: AI-based placental assessment and examination using photos13
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images13
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks13
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative)13
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time13
Geometric deep learning on brain shape predicts sex and age12
A deep learning based multiscale approach to segment the areas of interest in whole slide images12
A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls12
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging12
3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation12
Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification12
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation12
MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation11
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer11
Computed tomography image reconstruction using stacked U-Net11
Fast fully automatic skin lesions segmentation probabilistic with Parzen window11
Hierarchical pathology screening for cervical abnormality11
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data11
CAB U-Net: An end-to-end category attention boosting algorithm for segmentation11
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI11
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images11
Ultrasound volume projection image quality selection by ranking from convolutional RankNet11
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization11
3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images10
Deep neural networks for ECG-free cardiac phase and end-diastolic frame detection on coronary angiographies10
Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality10
Dermal epidermal junction detection for full-field optical coherence tomography data of human skin by deep learning10
Domain knowledge augmentation of parallel MR image reconstruction using deep learning10
XctNet: Reconstruction network of volumetric images from a single X-ray image10
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks10
Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs10
Towards human-level performance on automatic pose estimation of infant spontaneous movements10
Automated proliferation index calculation for skin melanoma biopsy images using machine learning10
Vestibule segmentation from CT images with integration of multiple deep feature fusion strategies9
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image9
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography9
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification9
Constrained stochastic state estimation of deformable 1D objects: Application to single-view 3D reconstruction of catheters with radio-opaque markers9
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography9
Retrospective study of deep learning to reduce noise in non-contrast head CT images9
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation9
Fast graph-cut based optimization for practical dense deformable registration of volume images9
Detecting vulnerable plaque with vulnerability index based on convolutional neural networks9
An efficient end-to-end CNN for segmentation of bone surfaces from ultrasound9
A benchmark bone marrow aspirate smear dataset and a multi-scale cell detection model for the diagnosis of hematological disorders8
Chronic wounds multimodal image database8
Automatic estimation of morphological characteristics of proximal tibia for precise plate treatment using model matching8
A novel dual-network architecture for mixed-supervised medical image segmentation8
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks8
AugmentA: Patient-specific augmented atrial model generation tool8
What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review8
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels8
Simplification of neural networks for skin lesion image segmentation using color channel pruning8
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion8
FeMA: Feature matching auto-encoder for predicting ischaemic stroke evolution and treatment outcome8
A system for 3D reconstruction of comminuted tibial plafond bone fractures8
Modeling the survival of colorectal cancer patients based on colonoscopic features in a feature ensemble vision transformer8
Automatic identification of abnormal blood smear images using color and morphology variation of RBCS and central pallor8
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images8
Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations8
A tree-based multiclassification of breast tumor histopathology images through deep learning7
Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping7
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model7
Template-based graph registration network for boosting the diagnosis of brain connectivity disorders7
Deep learning models for benign and malign ocular tumor growth estimation7
Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow7
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images7
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT7
3D dense convolutional neural network for fast and accurate single MR image super-resolution7
Semi-supervised hybrid spine network for segmentation of spine MR images7
A penalized spline fitting method to optimize geometric parameters of arterial centerlines extracted from medical images6
Reconstruction for plane-wave ultrasound imaging using modified U-Net-based beamformer6
A community-based approach to image analysis of cells, tissues and tumors6
Grey wolf assisted dragonfly-based weighted rule generation for predicting heart disease and breast cancer6
3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation6
Characterization of 3D bifurcations in micro-scan and MRA-TOF images of cerebral vasculature for prediction of intra-cranial aneurysms6
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction6
Deep correction of breathing-related artifacts in real-time MR-thermometry6
A relation-based framework for effective teeth recognition on dental periapical X-rays6
Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion6
NPBDREG: Uncertainty assessment in diffeomorphic brain MRI registration using a non-parametric Bayesian deep-learning based approach6
Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images6
Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization6
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization6
Deformable adversarial registration network with multiple loss constraints6
An automated detection system for colonoscopy images using a dual encoder-decoder model6
Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound6
Detection of clustered anomalies in single-voxel morphometry as a rapid automated method for identifying intracranial aneurysms6
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework6
A literature survey of MR-based brain tumor segmentation with missing modalities6
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography6
Long term and robust 6DoF motion tracking for highly dynamic stereo endoscopy videos6
Classification of squamous cell carcinoma from FF-OCT images: Data selection and progressive model construction6
Residual-atrous attention network for lumbosacral plexus segmentation with MR image5
Synchronous Medical Image Augmentation framework for deep learning-based image segmentation5
An anatomical knowledge-based MRI deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment5
Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks5
RISING: A new framework for model-based few-view CT image reconstruction with deep learning5
Ultrasonographic pathological grading of prostate cancer using automatic region-based Gleason grading network5
Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology5
Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging5
Recent advances in artificial intelligence for cardiac imaging5
Whole brain segmentation with full volume neural network5
An accurate and universal approach for short-exposure-time microscopy image enhancement5
Multi-path decoder U-Net: A weakly trained real-time segmentation network for object detection and localization in ultrasound scans5
MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar5
Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy5
A dual-task dual-domain model for blind MRI reconstruction5
Dual-domain accelerated MRI reconstruction using transformers with learning-based undersampling5
A comparative analysis framework of 3T and 7T TOF-MRA based on automated cerebrovascular segmentation4
AGMR-Net: Attention-guided multiscale recovery framework for stroke segmentation4
Does perfect filtering really guarantee perfect phase correction for diffusion MRI data?4
Unpaired virtual histological staining using prior-guided generative adversarial networks4
Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning4
Attention-guided neural network for early dementia detection using MRS data4
Left ventricle quantification with sample-level confidence estimation via Bayesian neural network4
Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications4
A neural network based framework for effective laparoscopic video quality assessment4
A cascade-network framework for integrated registration of liver DCE-MR images4
One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed4
Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks4
SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer4
Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI4
Rapid analysis of streaming platelet images by semi-unsupervised learning4
Knowledge transfer between brain lesion segmentation tasks with increased model capacity4
Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR4
Noise reduction using novel loss functions to compute tissue mineral density and trabecular bone volume fraction on low resolution QCT4
CPTV: Classification by tracking of carotid plaque in ultrasound videos4
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior4
Super-resolution of magnetic resonance images using Generative Adversarial Networks4
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning4
MR and ultrasound cardiac image dynamic visualization and synchronization over Internet for distributed heart function diagnosis4
Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle4
Shortcomings and areas for improvement in digital pathology image segmentation challenges4
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images4
Pyramid feature adaptation for semi-supervised cardiac bi-ventricle segmentation4
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review4
Super resolution imaging reconstruction reveals that gold standard methods may not correctly conclude neural/brain functional recovery4
Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet4
Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI4
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images4
Automated three-dimensional vessel reconstruction based on deep segmentation and bi-plane angiographic projections4
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