Computerized Medical Imaging and Graphics

(The median citation count of Computerized Medical Imaging and Graphics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-11-01 to 2023-11-01.)
MedGAN: Medical image translation using GANs256
Convolutional neural networks for multi-class brain disease detection using MRI images165
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation122
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review72
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images71
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals70
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation69
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images63
Classification of white blood cells using capsule networks62
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation56
Does image normalization and intensity resolution impact texture classification?55
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease55
Learning tree-structured representation for 3D coronary artery segmentation49
Fast and efficient retinal blood vessel segmentation method based on deep learning network46
Automatic skin lesion classification based on mid-level feature learning43
A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging43
DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography38
A novel CNN based Alzheimer’s disease classification using hybrid enhanced ICA segmented gray matter of MRI38
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution38
A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images37
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays36
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning36
LGAN: Lung segmentation in CT scans using generative adversarial network35
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders35
Deep transfer learning approaches for bleeding detection in endoscopy images35
On the performance of lung nodule detection, segmentation and classification35
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine34
Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach34
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy34
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN33
Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks32
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma32
Deep learning method for localization and segmentation of abdominal CT32
Glaucoma detection using image processing techniques: A literature review31
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic31
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs30
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network28
Memory-efficient GAN-based domain translation of high resolution 3D medical images28
Automatic cardiac cine MRI segmentation and heart disease classification28
A novel method for tissue segmentation in high-resolution H&E-stained histopathological whole-slide images27
Dense pooling layers in fully convolutional network for skin lesion segmentation26
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT25
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images25
A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography25
A survey on graph-based deep learning for computational histopathology25
MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation24
Learning-based algorithms for vessel tracking: A review23
Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review22
Deep adaptive registration of multi-modal prostate images22
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation21
Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images21
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks21
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer20
Retracted: An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images20
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging20
Cardiac VFM visualization and analysis based on YOLO deep learning model and modified 2D continuity equation20
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN20
Early detection of ankylosing spondylitis using texture features and statistical machine learning, and deep learning, with some patient age analysis20
The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs19
Modeling task-based fMRI data via deep belief network with neural architecture search19
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues19
Non-convex primal-dual algorithm for image reconstruction in spectral CT19
Retinex model based stain normalization technique for whole slide image analysis19
Machine learning techniques for mitoses classification19
Analyzing magnetic resonance imaging data from glioma patients using deep learning19
Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network18
Fast fully automatic heart fat segmentation in computed tomography datasets18
Intensity inhomogeneity correction of MRI images using InhomoNet18
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device17
Vessel segmentation using multiscale vessel enhancement and a region based level set model17
Automated detection of focal cortical dysplasia using a deep convolutional neural network17
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning16
An end-to-end breast tumour classification model using context-based patch modelling – A BiLSTM approach for image classification16
Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model16
DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images16
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease16
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images16
Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction16
Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls15
Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit15
Segmentation of coronary arteries images using global feature embedded network with active contour loss14
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction14
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning14
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images14
Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography14
PIÑATA: Pinpoint insertion of intravenous needles via augmented reality training assistance13
A contrastive consistency semi-supervised left atrium segmentation model13
Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy13
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network13
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging13
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans13
Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction13
Deep learning powers cancer diagnosis in digital pathology12
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time12
WCE polyp detection with triplet based embeddings12
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues12
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images12
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 protocols12
Texture classification of MR images of the brain in ALS using M-CoHOG: A multi-center study12
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning12
MNT-DeepSL: Median nerve tracking from carpal tunnel ultrasound images with deep similarity learning and analysis on continuous wrist motions11
3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation11
Tumor classification in automated breast ultrasound (ABUS) based on a modified extracting feature network11
Hierarchical pathology screening for cervical abnormality11
AI-PLAX: AI-based placental assessment and examination using photos11
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness11
MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation11
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge11
CAB U-Net: An end-to-end category attention boosting algorithm for segmentation11
Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images11
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet10
Computer Aided Diagnosis of Atopic Dermatitis10
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation10
Fast fully automatic skin lesions segmentation probabilistic with Parzen window10
Geometric deep learning on brain shape predicts sex and age10
A deep learning based multiscale approach to segment the areas of interest in whole slide images10
Computed tomography image reconstruction using stacked U-Net10
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images10
LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images10
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation10
Deep neural networks for ECG-free cardiac phase and end-diastolic frame detection on coronary angiographies9
Towards human-level performance on automatic pose estimation of infant spontaneous movements9
Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification9
Ultrasound volume projection image quality selection by ranking from convolutional RankNet9
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization9
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study9
An unsupervised method for histological image segmentation based on tissue cluster level graph cut9
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks9
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
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis9
Detecting vulnerable plaque with vulnerability index based on convolutional neural networks9
A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls9
Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs8
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging8
Domain knowledge augmentation of parallel MR image reconstruction using deep learning8
Dermal epidermal junction detection for full-field optical coherence tomography data of human skin by deep learning8
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative)8
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy8
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion7
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images7
Automated proliferation index calculation for skin melanoma biopsy images using machine learning7
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography7
Vestibule segmentation from CT images with integration of multiple deep feature fusion strategies7
Chronic wounds multimodal image database7
Automatic estimation of morphological characteristics of proximal tibia for precise plate treatment using model matching7
Simplification of neural networks for skin lesion image segmentation using color channel pruning7
Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality7
What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review7
A novel dual-network architecture for mixed-supervised medical image segmentation7
A tree-based multiclassification of breast tumor histopathology images through deep learning6
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI6
A system for 3D reconstruction of comminuted tibial plafond bone fractures6
Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images6
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data6
Retrospective study of deep learning to reduce noise in non-contrast head CT images6
A relation-based framework for effective teeth recognition on dental periapical X-rays6
One-slice CT image based kernelized radiomics model for the prediction of low/mid-grade and high-grade HNSCC6
3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation6
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer6
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks6
An efficient end-to-end CNN for segmentation of bone surfaces from ultrasound6
Constrained stochastic state estimation of deformable 1D objects: Application to single-view 3D reconstruction of catheters with radio-opaque markers6
A community-based approach to image analysis of cells, tissues and tumors6
Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow6
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image6
Automatic identification of abnormal blood smear images using color and morphology variation of RBCS and central pallor6
Deformable adversarial registration network with multiple loss constraints6
3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images6
Long term and robust 6DoF motion tracking for highly dynamic stereo endoscopy videos5
An automated detection system for colonoscopy images using a dual encoder-decoder model5
MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar5
Segmentation of abdominal organs in computed tomography using a generalized statistical shape model5
A benchmark bone marrow aspirate smear dataset and a multi-scale cell detection model for the diagnosis of hematological disorders5
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images5
3D dense convolutional neural network for fast and accurate single MR image super-resolution5
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography5
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks5
An anatomical knowledge-based MRI deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment5
Detection of clustered anomalies in single-voxel morphometry as a rapid automated method for identifying intracranial aneurysms5
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels5
Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks5
Characterization of 3D bifurcations in micro-scan and MRA-TOF images of cerebral vasculature for prediction of intra-cranial aneurysms5
Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound5
Deep learning models for benign and malign ocular tumor growth estimation5
Recent advances in artificial intelligence for cardiac imaging5
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography5
XctNet: Reconstruction network of volumetric images from a single X-ray image5
Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet4
Supporting diagnostics and therapy planning for percutaneous ablation of liver and abdominal tumors and pre-clinical evaluation4
A dual-task dual-domain model for blind MRI reconstruction4
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 radiotherapy4
MR and ultrasound cardiac image dynamic visualization and synchronization over Internet for distributed heart function diagnosis4
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification4
Classification of squamous cell carcinoma from FF-OCT images: Data selection and progressive model construction4
Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping4
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions4
Automated three-dimensional vessel reconstruction based on deep segmentation and bi-plane angiographic projections4
A comparative analysis framework of 3T and 7T TOF-MRA based on automated cerebrovascular segmentation4
An accurate and universal approach for short-exposure-time microscopy image enhancement4
Rapid analysis of streaming platelet images by semi-unsupervised learning4
Residual-atrous attention network for lumbosacral plexus segmentation with MR image4
FeMA: Feature matching auto-encoder for predicting ischaemic stroke evolution and treatment outcome4
NPBDREG: Uncertainty assessment in diffeomorphic brain MRI registration using a non-parametric Bayesian deep-learning based approach4
Whole brain segmentation with full volume neural network4
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework4
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization4
Ultrasonographic pathological grading of prostate cancer using automatic region-based Gleason grading network4
Deep correction of breathing-related artifacts in real-time MR-thermometry3
Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR3
Left ventricle quantification with sample-level confidence estimation via Bayesian neural network3
Reconstruction for plane-wave ultrasound imaging using modified U-Net-based beamformer3
Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging3
Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization3
Semi-supervised hybrid spine network for segmentation of spine MR images3
AGMR-Net: Attention-guided multiscale recovery framework for stroke segmentation3
Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI3
Knowledge transfer between brain lesion segmentation tasks with increased model capacity3
Predicting 4D liver MRI for MR-guided interventions3
DXM‐TransFuse U-net: Dual cross-modal transformer fusion U-net for automated nerve identification3
Pyramid feature adaptation for semi-supervised cardiac bi-ventricle segmentation3
Noise reduction using novel loss functions to compute tissue mineral density and trabecular bone volume fraction on low resolution QCT3
Deep learning-based framework for motion-compensated image fusion in catheterization procedures3
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images3
A cascade-network framework for integrated registration of liver DCE-MR images3
Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks3
RISING: A new framework for model-based few-view CT image reconstruction with deep learning3
A diagnostic information based framework for super-resolution and quality assessment of retinal OCT images3
Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations3
Attention-guided neural network for early dementia detection using MRS data3
A penalized spline fitting method to optimize geometric parameters of arterial centerlines extracted from medical images3
Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI3
CPTV: Classification by tracking of carotid plaque in ultrasound videos3
A neural network based framework for effective laparoscopic video quality assessment3
Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion3
Grey wolf assisted dragonfly-based weighted rule generation for predicting heart disease and breast cancer3
SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer3
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction3