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 2020-11-01 to 2024-11-01.)
ArticleCitations
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation254
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review130
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images116
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals102
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images92
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation76
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy75
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution72
Fast and efficient retinal blood vessel segmentation method based on deep learning network59
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN59
On the performance of lung nodule detection, segmentation and classification56
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays54
A survey on graph-based deep learning for computational histopathology54
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning52
Automatic cardiac cine MRI segmentation and heart disease classification51
Deep transfer learning approaches for bleeding detection in endoscopy images50
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine48
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma45
LGAN: Lung segmentation in CT scans using generative adversarial network44
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic44
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN42
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions40
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT39
Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review38
Learning-based algorithms for vessel tracking: A review36
Memory-efficient GAN-based domain translation of high resolution 3D medical images36
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images35
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer35
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks33
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images31
An end-to-end breast tumour classification model using context-based patch modelling – A BiLSTM approach for image classification30
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning30
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device30
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge30
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation29
Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls28
Non-convex primal-dual algorithm for image reconstruction in spectral CT28
Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography28
Analyzing magnetic resonance imaging data from glioma patients using deep learning27
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning27
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images27
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease26
Retracted: An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images25
The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs25
Retinex model based stain normalization technique for whole slide image analysis24
A contrastive consistency semi-supervised left atrium segmentation model24
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging24
Machine learning techniques for mitoses classification23
DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images23
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis22
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images22
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet22
Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network22
Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction22
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction22
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness21
Deep learning powers cancer diagnosis in digital pathology21
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study20
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning20
An unsupervised method for histological image segmentation based on tissue cluster level graph cut20
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network20
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation20
WCE polyp detection with triplet based embeddings19
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time19
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues19
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer19
LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images19
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans19
Towards human-level performance on automatic pose estimation of infant spontaneous movements18
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging18
3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation18
Segmentation of coronary arteries images using global feature embedded network with active contour loss18
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images18
Geometric deep learning on brain shape predicts sex and age17
A review on brain tumor segmentation based on deep learning methods with federated learning techniques17
XctNet: Reconstruction network of volumetric images from a single X-ray image17
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images17
Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification17
A deep learning based multiscale approach to segment the areas of interest in whole slide images16
Tumor classification in automated breast ultrasound (ABUS) based on a modified extracting feature network16
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks16
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks16
Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit15
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI15
Hierarchical pathology screening for cervical abnormality14
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography14
A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls14
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative)14
Ultrasound volume projection image quality selection by ranking from convolutional RankNet14
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging14
Computed tomography image reconstruction using stacked U-Net14
Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs13
Super-resolution of magnetic resonance images using Generative Adversarial Networks13
HACA3: A unified approach for multi-site MR image harmonization13
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification13
Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations13
Chronic wounds multimodal image database13
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography13
Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality13
What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review13
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation13
MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation12
A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising12
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data12
Modeling the survival of colorectal cancer patients based on colonoscopic features in a feature ensemble vision transformer12
Dermal epidermal junction detection for full-field optical coherence tomography data of human skin by deep learning12
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization12
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data12
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images12
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels12
Domain knowledge augmentation of parallel MR image reconstruction using deep learning11
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images11
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review11
Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology11
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential11
Retrospective study of deep learning to reduce noise in non-contrast head CT images11
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks11
AugmentA: Patient-specific augmented atrial model generation tool11
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization11
Vestibule segmentation from CT images with integration of multiple deep feature fusion strategies10
Investigation and benchmarking of U-Nets on prostate segmentation tasks10
Semi-supervised hybrid spine network for segmentation of spine MR images10
Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion10
3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images10
Synchronous Medical Image Augmentation framework for deep learning-based image segmentation10
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model10
Attri-VAE: Attribute-based interpretable representations of medical images with variational autoencoders10
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image10
Dual-domain accelerated MRI reconstruction using transformers with learning-based undersampling10
3D dense convolutional neural network for fast and accurate single MR image super-resolution10
A system for 3D reconstruction of comminuted tibial plafond bone fractures10
Automated proliferation index calculation for skin melanoma biopsy images using machine learning10
Long term and robust 6DoF motion tracking for highly dynamic stereo endoscopy videos10
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion9
Deep learning models for benign and malign ocular tumor growth estimation9
3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation9
Unpaired virtual histological staining using prior-guided generative adversarial networks9
Reconstruction for plane-wave ultrasound imaging using modified U-Net-based beamformer9
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features9
A benchmark bone marrow aspirate smear dataset and a multi-scale cell detection model for the diagnosis of hematological disorders9
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation9
Deep correction of breathing-related artifacts in real-time MR-thermometry9
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT9
Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping9
Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle9
Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound8
FeMA: Feature matching auto-encoder for predicting ischaemic stroke evolution and treatment outcome8
Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI8
Whole brain segmentation with full volume neural network8
Template-based graph registration network for boosting the diagnosis of brain connectivity disorders8
Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation8
A relation-based framework for effective teeth recognition on dental periapical X-rays8
Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels8
Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization8
Self-supervised-RCNN for medical image segmentation with limited data annotation8
Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow8
An anatomical knowledge-based MRI deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment8
A literature survey of MR-based brain tumor segmentation with missing modalities8
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations8
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework7
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer’s disease7
A tree-based multiclassification of breast tumor histopathology images through deep learning7
Recent advances in artificial intelligence for cardiac imaging7
Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks7
Grey wolf assisted dragonfly-based weighted rule generation for predicting heart disease and breast cancer7
A novel dual-network architecture for mixed-supervised medical image segmentation7
Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning7
All answers are in the images: A review of deep learning for cerebrovascular segmentation7
Detection of clustered anomalies in single-voxel morphometry as a rapid automated method for identifying intracranial aneurysms7
NPBDREG: Uncertainty assessment in diffeomorphic brain MRI registration using a non-parametric Bayesian deep-learning based approach7
Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images7
Automatic identification of abnormal blood smear images using color and morphology variation of RBCS and central pallor7
Shortcomings and areas for improvement in digital pathology image segmentation challenges7
An amalgamation of vision transformer with convolutional neural network for automatic lung tumor segmentation7
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 radiotherapy7
A dual-task dual-domain model for blind MRI reconstruction7
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction6
Multi-path decoder U-Net: A weakly trained real-time segmentation network for object detection and localization in ultrasound scans6
A community-based approach to image analysis of cells, tissues and tumors6
Automated three-dimensional vessel reconstruction based on deep segmentation and bi-plane angiographic projections6
Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks6
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography6
CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis6
Classification of squamous cell carcinoma from FF-OCT images: Data selection and progressive model construction6
Attention-guided neural network for early dementia detection using MRS data6
Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging6
A neural network based framework for effective laparoscopic video quality assessment6
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior6
StrokeNet: An automated approach for segmentation and rupture risk prediction of intracranial aneurysm6
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images6
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images6
Deformable adversarial registration network with multiple loss constraints6
Residual-atrous attention network for lumbosacral plexus segmentation with MR image6
MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar6
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images6
One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed6
RISING: A new framework for model-based few-view CT image reconstruction with deep learning6
C2BA-UNet: A c6
Knowledge transfer between brain lesion segmentation tasks with increased model capacity6
End to end vision transformer architecture for brain stroke assessment based on multi-slice classification and localization using computed tomography5
Symmetric pyramid network for medical image inverse consistent diffeomorphic registration5
DAN-PD: Domain adaptive network with parallel decoder for polyp segmentation5
Ultrasonographic pathological grading of prostate cancer using automatic region-based Gleason grading network5
Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR5
Synthetically trained convolutional neural networks for improved tensor estimation from free-breathing cardiac DTI5
Deep feature based cross-slide registration5
AGMR-Net: Attention-guided multiscale recovery framework for stroke segmentation5
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning5
SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer5
DXM‐TransFuse U-net: Dual cross-modal transformer fusion U-net for automated nerve identification5
Labeling confidence for uncertainty-aware histology image classification5
A cascade-network framework for integrated registration of liver DCE-MR images5
PMNet: A probability map based scaled network for breast cancer diagnosis5
TT-Net: Tensorized Transformer Network for 3D medical image segmentation5
Using temporal and structural data to reconstruct 3D cerebral vasculature from a pair of 2D digital subtraction angiography sequences5
Graph neural network based unsupervised influential sample selection for brain multigraph population fusion5
MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification5
CPTV: Classification by tracking of carotid plaque in ultrasound videos5
Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet4
Optic disc localization in fundus images through accumulated directional and radial blur analysis4
Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications4
Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR4
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy4
Registration on DCE-MRI images via multi-domain image-to-image translation4
Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI4
Rapid analysis of streaming platelet images by semi-unsupervised learning4
Super resolution imaging reconstruction reveals that gold standard methods may not correctly conclude neural/brain functional recovery4
Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images4
Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry4
End-to-end metastasis detection of breast cancer from histopathology whole slide images4
Local-to-global spatial learning for whole-slide image representation and classification4
A comparative analysis framework of 3T and 7T TOF-MRA based on automated cerebrovascular segmentation4
A lightweight multi-modality medical image semantic segmentation network base on the novel UNeXt and Wave-MLP4
Does perfect filtering really guarantee perfect phase correction for diffusion MRI data?4
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification4
Tissue-specific deformable image registration using a spatial-contextual filter4
Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling4
Noise reduction using novel loss functions to compute tissue mineral density and trabecular bone volume fraction on low resolution QCT4
Deep learning-based framework for motion-compensated image fusion in catheterization procedures4
Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions4
Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance4
MR and ultrasound cardiac image dynamic visualization and synchronization over Internet for distributed heart function diagnosis4
Deformable medical image registration with global–local transformation network and region similarity constraint4
Explainable survival analysis with uncertainty using convolution-involved vision transformer4
Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images4
Knowledge distillation on individual vertebrae segmentation exploiting 3D U-Net4
Cross modality generative learning framework for anatomical transitive Magnetic Resonance Imaging (MRI) from Electrical Impedance Tomography (EIT) image4
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